1.2_analisis_descriptivo_multivariado.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Análisis Bivariado\n",
    "\n",
    "Analizaremos cada variable explicativa y su relación con la variable obetivo de forma visual y con test estadísticos. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import statsmodels.api as sm\n",
    "from category_encoders.one_hot import OneHotEncoder\n",
    "from category_encoders.ordinal import OrdinalEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def remove_outliers_iqr(df, column, sensitivity=1.5):\n",
    "    \"\"\"\n",
    "    Remove outliers from a pandas DataFrame.\n",
    "\n",
    "    Parameters:\n",
    "        df (pandas.DataFrame): The DataFrame from which to remove outliers.\n",
    "        column (str): The name of the column to check for outliers.\n",
    "        sensitivity (float): The sensitivity coefficient used to define what constitutes an outlier.\n",
    "            Smaller values mean more aggressive outlier removal.\n",
    "\n",
    "    Returns:\n",
    "        pandas.DataFrame: A new DataFrame with outliers removed.\n",
    "    \"\"\"\n",
    "    # Calculate IQR\n",
    "    Q1 = df[column].quantile(0.25)\n",
    "    Q3 = df[column].quantile(0.75)\n",
    "    IQR = Q3 - Q1\n",
    "\n",
    "    # Define bounds for what is considered an outlier\n",
    "    lower_bound = Q1 - sensitivity * IQR\n",
    "    upper_bound = Q3 + sensitivity * IQR\n",
    "\n",
    "    # Return the DataFrame without outliers\n",
    "    return df[(df[column] >= lower_bound) & (df[column] <= upper_bound)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_lollipop(df, categorical_var, y_lim_inf = 0, y_lim_sup = 100, xticks_rotation = 0):\n",
    "    ''' \n",
    "    Graficar un Lollipop de la proporción de clasificados como mala paga de acuerdo a una variable categórica   \n",
    "    '''\n",
    "\n",
    "    # Calcular proporción y cantidad absoluta de indivduos clase 1\n",
    "    summary = df.groupby(categorical_var).agg(\n",
    "        absolute = ('clase', 'sum'),  # Cantidad absoluta de individuos de clase 1\n",
    "        total = ('clase', 'count')  # Cantidad total de individuos por oficina\n",
    "        )\n",
    "\n",
    "    summary = summary.assign(rate = lambda x: 100 * x['absolute'] / x['total'])  # Calcula la proporción de individuos de clase 1\n",
    "    summary = summary.reset_index()\n",
    "    summary = summary.sort_values(by = 'rate', ascending = False)\n",
    "    \n",
    "    # Graficar Lollipop\n",
    "    plt.figure(figsize = (8,5))\n",
    "    plt.stem(summary[categorical_var], summary['rate'], basefmt=\" \")\n",
    "\n",
    "    plt.xlabel(categorical_var)\n",
    "    plt.ylabel('Proporción de Mal Pago (%)')\n",
    "    plt.title(f'Proporción de MAL PAGO por {categorical_var}')\n",
    "    plt.ylim(y_lim_inf, y_lim_sup*1.2)\n",
    "\n",
    "    # Labels\n",
    "    for i, row in summary.iterrows():\n",
    "        text = '{:.1f}%\\n({})'.format(row['rate'], row['absolute'])\n",
    "        plt.text(row[categorical_var], row['rate']+ y_lim_sup*0.05 , text, ha='center')\n",
    "\n",
    "    plt.xticks(rotation=xticks_rotation)\n",
    "    \n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/raw/all_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 24786 entries, 0 to 24785\n",
      "Data columns (total 29 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   cedula              24786 non-null  int64  \n",
      " 1   oficina             24786 non-null  object \n",
      " 2   categoria           24786 non-null  object \n",
      " 3   tiempo_desembolso   24786 non-null  int64  \n",
      " 4   monto               24786 non-null  float64\n",
      " 5   saldo               24786 non-null  float64\n",
      " 6   plazo               24786 non-null  int64  \n",
      " 7   tasa                24786 non-null  float64\n",
      " 8   cuota               24786 non-null  int64  \n",
      " 9   garantia            24786 non-null  object \n",
      " 10  diasmora            24786 non-null  int64  \n",
      " 11  forma_de_pago       24786 non-null  int64  \n",
      " 12  reestructurado      24786 non-null  int64  \n",
      " 13  edad                24786 non-null  int64  \n",
      " 14  ocupacion           24786 non-null  object \n",
      " 15  nivel_educativo     24786 non-null  object \n",
      " 16  ingreso_total       24786 non-null  float64\n",
      " 17  egreso_total        24786 non-null  float64\n",
      " 18  estrato             24786 non-null  int64  \n",
      " 19  antiguedad_empresa  24786 non-null  int64  \n",
      " 20  estado_civil        24786 non-null  object \n",
      " 21  sexo                24786 non-null  object \n",
      " 22  personas            24786 non-null  int64  \n",
      " 23  tipo_vivienda       20414 non-null  object \n",
      " 24  tipo_contrato       19595 non-null  object \n",
      " 25  aportes             24786 non-null  float64\n",
      " 26  numero_creditos     24786 non-null  int64  \n",
      " 27  antiguedad_entidad  24786 non-null  int64  \n",
      " 28  clase               24786 non-null  object \n",
      "dtypes: float64(6), int64(13), object(10)\n",
      "memory usage: 5.5+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convertimos la variable objetivo a 0 y 1 para simplificar código\n",
    "df.clase = df.clase.map({'Malo': 1, 'Bueno': 0})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cedula</th>\n",
       "      <th>oficina</th>\n",
       "      <th>categoria</th>\n",
       "      <th>tiempo_desembolso</th>\n",
       "      <th>monto</th>\n",
       "      <th>saldo</th>\n",
       "      <th>plazo</th>\n",
       "      <th>tasa</th>\n",
       "      <th>cuota</th>\n",
       "      <th>garantia</th>\n",
       "      <th>...</th>\n",
       "      <th>antiguedad_empresa</th>\n",
       "      <th>estado_civil</th>\n",
       "      <th>sexo</th>\n",
       "      <th>personas</th>\n",
       "      <th>tipo_vivienda</th>\n",
       "      <th>tipo_contrato</th>\n",
       "      <th>aportes</th>\n",
       "      <th>numero_creditos</th>\n",
       "      <th>antiguedad_entidad</th>\n",
       "      <th>clase</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>6754</td>\n",
       "      <td>Santa Fe</td>\n",
       "      <td>E</td>\n",
       "      <td>63</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>411775.0</td>\n",
       "      <td>18</td>\n",
       "      <td>3.1667</td>\n",
       "      <td>36868</td>\n",
       "      <td>P</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>Unión Libre</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>69000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>17922</td>\n",
       "      <td>Usaquen</td>\n",
       "      <td>E</td>\n",
       "      <td>65</td>\n",
       "      <td>2000000.0</td>\n",
       "      <td>1563604.0</td>\n",
       "      <td>24</td>\n",
       "      <td>3.2083</td>\n",
       "      <td>120761</td>\n",
       "      <td>P</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>Soltero</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>167</td>\n",
       "      <td>Chapinero</td>\n",
       "      <td>E</td>\n",
       "      <td>60</td>\n",
       "      <td>800000.0</td>\n",
       "      <td>658843.0</td>\n",
       "      <td>18</td>\n",
       "      <td>3.1667</td>\n",
       "      <td>58990</td>\n",
       "      <td>P</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>Soltero</td>\n",
       "      <td>Femenino</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23093</td>\n",
       "      <td>Santa Fe</td>\n",
       "      <td>E</td>\n",
       "      <td>57</td>\n",
       "      <td>800000.0</td>\n",
       "      <td>744568.0</td>\n",
       "      <td>21</td>\n",
       "      <td>3.2083</td>\n",
       "      <td>52945</td>\n",
       "      <td>P</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>Casado</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>0</td>\n",
       "      <td>Familiar</td>\n",
       "      <td>Término Indefinido</td>\n",
       "      <td>82000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16530</td>\n",
       "      <td>Chapinero</td>\n",
       "      <td>E</td>\n",
       "      <td>58</td>\n",
       "      <td>14153655.0</td>\n",
       "      <td>13567368.0</td>\n",
       "      <td>48</td>\n",
       "      <td>2.8750</td>\n",
       "      <td>547318</td>\n",
       "      <td>R</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>Casado</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>2</td>\n",
       "      <td>Propia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>300000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>24781</th>\n",
       "      <td>7</td>\n",
       "      <td>Usaquen</td>\n",
       "      <td>A</td>\n",
       "      <td>20</td>\n",
       "      <td>6000000.0</td>\n",
       "      <td>2719389.0</td>\n",
       "      <td>36</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>210640</td>\n",
       "      <td>P</td>\n",
       "      <td>...</td>\n",
       "      <td>11</td>\n",
       "      <td>Casado</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>3</td>\n",
       "      <td>Familiar</td>\n",
       "      <td>Término Indefinido</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24782</th>\n",
       "      <td>6</td>\n",
       "      <td>Bosa</td>\n",
       "      <td>A</td>\n",
       "      <td>8</td>\n",
       "      <td>12000000.0</td>\n",
       "      <td>10726957.0</td>\n",
       "      <td>48</td>\n",
       "      <td>2.0834</td>\n",
       "      <td>397891</td>\n",
       "      <td>R</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>Unión Libre</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>1</td>\n",
       "      <td>Familiar</td>\n",
       "      <td>Término Indefinido</td>\n",
       "      <td>131000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24783</th>\n",
       "      <td>5</td>\n",
       "      <td>Tunjuelito</td>\n",
       "      <td>A</td>\n",
       "      <td>14</td>\n",
       "      <td>2000000.0</td>\n",
       "      <td>966688.0</td>\n",
       "      <td>24</td>\n",
       "      <td>2.1742</td>\n",
       "      <td>108602</td>\n",
       "      <td>P</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>Soltero</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>0</td>\n",
       "      <td>Propia</td>\n",
       "      <td>Término Indefinido</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24784</th>\n",
       "      <td>4</td>\n",
       "      <td>Santa Fe</td>\n",
       "      <td>A</td>\n",
       "      <td>5</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>684264.0</td>\n",
       "      <td>18</td>\n",
       "      <td>2.1742</td>\n",
       "      <td>60991</td>\n",
       "      <td>P</td>\n",
       "      <td>...</td>\n",
       "      <td>11</td>\n",
       "      <td>Soltero</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Término Indefinido</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24785</th>\n",
       "      <td>3</td>\n",
       "      <td>Usaquen</td>\n",
       "      <td>A</td>\n",
       "      <td>3</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>464362.0</td>\n",
       "      <td>12</td>\n",
       "      <td>2.1742</td>\n",
       "      <td>57366</td>\n",
       "      <td>P</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>Casado</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>2</td>\n",
       "      <td>Arrendada</td>\n",
       "      <td>Término Indefinido</td>\n",
       "      <td>15500.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24786 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       cedula     oficina categoria  tiempo_desembolso       monto  \\\n",
       "0        6754    Santa Fe         E                 63    500000.0   \n",
       "1       17922     Usaquen         E                 65   2000000.0   \n",
       "2         167   Chapinero         E                 60    800000.0   \n",
       "3       23093    Santa Fe         E                 57    800000.0   \n",
       "4       16530   Chapinero         E                 58  14153655.0   \n",
       "...       ...         ...       ...                ...         ...   \n",
       "24781       7     Usaquen         A                 20   6000000.0   \n",
       "24782       6        Bosa         A                  8  12000000.0   \n",
       "24783       5  Tunjuelito         A                 14   2000000.0   \n",
       "24784       4    Santa Fe         A                  5    900000.0   \n",
       "24785       3     Usaquen         A                  3    600000.0   \n",
       "\n",
       "            saldo  plazo    tasa   cuota garantia  ...  antiguedad_empresa  \\\n",
       "0        411775.0     18  3.1667   36868        P  ...                   6   \n",
       "1       1563604.0     24  3.2083  120761        P  ...                   8   \n",
       "2        658843.0     18  3.1667   58990        P  ...                  14   \n",
       "3        744568.0     21  3.2083   52945        P  ...                   8   \n",
       "4      13567368.0     48  2.8750  547318        R  ...                   0   \n",
       "...           ...    ...     ...     ...      ...  ...                 ...   \n",
       "24781   2719389.0     36  2.0000  210640        P  ...                  11   \n",
       "24782  10726957.0     48  2.0834  397891        R  ...                   7   \n",
       "24783    966688.0     24  2.1742  108602        P  ...                   8   \n",
       "24784    684264.0     18  2.1742   60991        P  ...                  11   \n",
       "24785    464362.0     12  2.1742   57366        P  ...                   3   \n",
       "\n",
       "       estado_civil       sexo  personas tipo_vivienda       tipo_contrato  \\\n",
       "0       Unión Libre  Masculino         0           NaN                 NaN   \n",
       "1           Soltero  Masculino         0           NaN                 NaN   \n",
       "2           Soltero   Femenino         0           NaN                 NaN   \n",
       "3            Casado  Masculino         0      Familiar  Término Indefinido   \n",
       "4            Casado  Masculino         2        Propia                 NaN   \n",
       "...             ...        ...       ...           ...                 ...   \n",
       "24781        Casado  Masculino         3      Familiar  Término Indefinido   \n",
       "24782   Unión Libre  Masculino         1      Familiar  Término Indefinido   \n",
       "24783       Soltero  Masculino         0        Propia  Término Indefinido   \n",
       "24784       Soltero  Masculino         0           NaN  Término Indefinido   \n",
       "24785        Casado  Masculino         2     Arrendada  Término Indefinido   \n",
       "\n",
       "        aportes  numero_creditos  antiguedad_entidad  clase  \n",
       "0       69000.0                1                   6      1  \n",
       "1           0.0                1                   6      1  \n",
       "2       82000.0                1                   5      1  \n",
       "3       82000.0                1                   5      1  \n",
       "4      300000.0                1                   7      1  \n",
       "...         ...              ...                 ...    ...  \n",
       "24781    6000.0                1                   2      0  \n",
       "24782  131000.0                3                   4      0  \n",
       "24783       0.0                3                   7      0  \n",
       "24784       0.0                1                   1      0  \n",
       "24785   15500.0                1                   1      0  \n",
       "\n",
       "[24786 rows x 29 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Cédula\n",
    "\n",
    "Esta columna no aporta información desde el punto de vista analítico."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(columns='cedula')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Oficina"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'oficina', 0, 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vemos de forma preliminar es más probable que un cliente sea \"Buena paga\" en las localidades de San Cristóbal, Usme y Tunjuelito."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3.  Categoría"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SFSUmuEQqzMbGBidPnsT79++lZqTu378vqf9Uzqzkpx48eAADAwPJD0YDAwOEh4fnanf//n1oaGjA2tq6wJhylg3cvn071+yRIq9FXjn7CwuCIDWL+/k151yHWCwuMAEsrAoVKsDNzQ1nzpzBsGHD8r2pKjk5Gfv370ePHj2kllHkGDlyJAIDAxWW4BZElliqVauGKlWqYN++fVi+fDlKlSr1xf4bN24MExMTbN++HVOmTMnzS8uff/4JAGjfvv0X+8vOzsaTJ08ks7bAx/ENQHJzWFGNs8KM+//++w8PHjzAli1bpPZ4zpnh/lR+y3kqVaqEkydPws3NrcBEM+c6Hj16JDXj+vbt21yzqTY2Nvn+P/9pX7KQ5VqJlEH1pouISKJt27bIysrCqlWrpMqXLVsGkUiENm3aSJWHhITg+vXrkvdRUVHYv38/WrduDU1NTWhqaqJ169bYv3+/5Fe6wMe7rLdv347GjRtDLBYXGFPr1q1hZGQEf3//XHdrFzS7Kuu1yKtt27Z4+fIl/v77b0lZSkoK1q9fL9XOyckJlSpVwuLFi/N8CEPOkg5ZzJkzBzNmzMhzHWSOvXv3Ijk5GT4+PujWrVuuV/v27fHPP//ku62ZIskay8yZM/HmzRt4e3sjIyMjV3+f//0bGBhg/PjxCA8Px5QpU3K1P3z4MAICAuDh4fHFHRRyfDp+BEHAqlWroK2tjZYtWwIounFWmHGfk8B/+jkIgoDffvstV385XxDi4+Olyrt3746srCz8+uuvuY7JzMyUtG/ZsiW0tLRyPXXu8+sGPn4mly9fRkhIiKQsOTkZ69evh62trVyz57JcK5EycAaXSIV16NABzZs3x5QpU/D06VM4Ojri+PHj2L9/P0aPHi11ExbwcX2gh4eH1DZhADBr1ixJmzlz5uDEiRNo3Lgxhg8fDi0tLaxbtw5paWlYuHDhF2MSi8VYtmwZBg0aBBcXF/Tu3RulS5fGzZs3kZKSgi1btijkWuTl7e2NVatWoU+fPrh27RosLS2xdevWXDd8aWho4I8//kCbNm1Qo0YN9O/fH+XLl8eLFy9w+vRpiMViHDx4UKZzN23aFE2bNi2wTWBgIMqUKYNGjRrlWd+xY0ds2LABhw8fRpcuXSTlmzZtynPLsVGjRhVq/aoiYunduzdu374Nf39/XL58GT179oSdnR2Sk5Nx+/Zt7NixA0ZGRlJrQCdPnoywsDAsWLAAISEh6Nq1K/T19XHhwgVs27YNDg4O+Y6Zz+np6SEoKAh9+/ZFgwYNcPToURw+fBi//PKL5DcURTXOCjPu7e3tUalSJYwfPx4vXryAWCzGP//8k+e68ZybQUeOHAkPDw9oamqiZ8+eaNq0KYYMGQJ/f3/cuHEDrVu3hra2Nh4+fIjdu3fjt99+Q7du3WBubo5Ro0ZhyZIl6NixIzw9PXHz5k0cPXoUZcuWlZohnjx5Mnbs2IE2bdpg5MiRMDU1xZYtWxAREYF//vlHrqVRslwrkVIoYecGom9GYbd4ym8rKUH4uJ3PmDFjBCsrK0FbW1uoUqWKsGjRIqmtiQTh45ZHPj4+wrZt24QqVaoIurq6Qt26dfN8ctf169cFDw8PwdDQUDAwMBCaN28uXLp0SabYDxw4IDRq1EjQ19cXxGKxUL9+fWHHjh1S1/TpNmHyXMvnbGxspLY/ys+zZ8+Ejh07CgYGBkLZsmWFUaNGSbZZ+vzzCAsLE7p06SKUKVNG0NXVFWxsbITu3bsLwcHBBZ7j023CCvLp321sbKygpaUl/Pzzz/m2T0lJEQwMDCRbu+X8PeT3ioqKyrevvJ5klkOeWHKcOXNG6Natm2BpaSloa2sLYrFYcHZ2FmbMmCFER0fn6icrK0vYvHmz4ObmJojFYkFPT0+oUaOGMGvWrEI/HS/nc3z8+LHQunVrwcDAQDA3NxdmzJiR60lbXzvOCvKlcX/37l3B3d1dMDQ0FMqWLSt4e3tLtrjbvHmzpF1mZqYwYsQIoVy5coJIJMq1Zdj69esFJycnQV9fXzAyMhJq1aolTJw4UXj58qVUH9OmTRMsLCwEfX19oUWLFsK9e/eEMmXKCEOHDpXq7/Hjx0K3bt0EExMTQU9PT6hfv75w6NAhqTY5W4Ht3r0713XntU1YYa+VSBlEglBCHoRNRAUSiUTw8fHJ81eURCVdv3798Pfff+e5nIT+Jz4+HqVLl8acOXPyXBZC9K3gGlwiIqISKK9H4i5fvhwA0KxZs+INhkjFcA0uERFRCbRr1y4EBASgbdu2MDQ0xIULF7Bjxw60bt0abm5uyg6PSKmY4BIREZVAtWvXhpaWFhYuXIjExETJjWdz5sxRdmhESqf0Nbjnzp3DokWLcO3aNURHR2Pv3r2SDcEzMjIwdepUHDlyBE+ePIGxsTHc3d0xf/58WFlZSfqIi4vDiBEjcPDgQWhoaKBr16747bffZNqknYiIiIjUg9LX4CYnJ8PR0RGrV6/OVZeSkoLr169j2rRpuH79Ovbs2YPw8HB07NhRqp2Xlxfu3LmDEydO4NChQzh37lyu584TERER0bdB6TO4nxKJRFIzuHm5cuUK6tevj2fPnqFChQq4d+8eqlevjitXrkgehRoUFIS2bdvi+fPnUjO9RERERKT+lD6DK6uEhASIRCKYmJgA+PjkJhMTE0lyCwDu7u7Q0NBAaGiokqIkIiIiImUpUTeZpaamYtKkSejVq5fkcaIxMTEwMzOTaqelpQVTU1PExMTk2U9aWprUYzCzs7MRFxeHMmXK5Pt8cCIiIiJSHkEQ8P79e1hZWX3xCXwlJsHNyMhA9+7dIQhCrmdvy8rf31/q0aVEREREVDJERUXhu+++K7BNiUhwc5LbZ8+e4dSpU5LZWwCwsLDAq1evpNpnZmYiLi4OFhYWefbn5+eHsWPHSt4nJCSgQoUKiIqKkuqbiIiIiFRDYmIirK2tYWRk9MW2Kp/g5iS3Dx8+xOnTp1GmTBmpeldXV8THx+PatWtwcnICAJw6dQrZ2dlo0KBBnn3q6upCV1c3V7lYLGaCS0RERKTCCrOcVOkJblJSEh49eiR5HxERgRs3bsDU1BSWlpbo1q0brl+/jkOHDiErK0uyrtbU1BQ6OjpwcHCAp6cnvL29sXbtWmRkZMDX1xc9e/bkDgpERERE3yClbxN25swZNG/ePFd53759MXPmTNjZ2eV53OnTpyXP2o6Li4Ovr6/Ugx5WrFhR6Ac9JCYmwtjYGAkJCZzBJSIiIlJBsuRrSk9wVQETXCIiIiLVJku+VuL2wSUiIiIiKggTXCIiIiJSK0xwiYiIiEitMMElIiIiIrXCBJeIiIiI1AoTXCIiIiJSK0xwiYiIiEitMMElIiIiIrXCBJeIiIiI1AoTXCIiIiJSK0xwiYiIiEitMMElIiIiIrXCBJeIiIiI1AoTXCIiIiJSK0xwiYiIiEitMMElIiIiIrXCBDcf586dQ4cOHWBlZQWRSIR9+/ZJ1QuCgOnTp8PS0hL6+vpwd3fHw4cPpdrExcXBy8sLYrEYJiYmGDhwIJKSkgo8b2pqKnx8fFCmTBkYGhqia9euiI2NleqzQ4cOMDQ0RN26dREWFiZ1vI+PD5YsWfJ1F09ERERUgjHBzUdycjIcHR2xevXqPOsXLlyIFStWYO3atQgNDUWpUqXg4eGB1NRUSRsvLy/cuXMHJ06cwKFDh3Du3DkMHjy4wPOOGTMGBw8exO7du3H27Fm8fPkSXbp0kdTPnTsX79+/x/Xr19GsWTN4e3tL6v7991+EhoZi9OjRX3fxRERERCWZQEJCQoIAQEhISMizHoCwd+9eyfvs7GzBwsJCWLRokaQsPj5e0NXVFXbs2CEIgiDcvXtXACBcuXJF0ubo0aOCSCQSXrx4ked54uPjBW1tbWH37t2Ssnv37gkAhJCQEEEQBKFNmzbCmjVrJOcwMDAQBEEQ0tPTBUdHR6nzEREREamLL+Vrn+IMrhwiIiIQExMDd3d3SZmxsTEaNGiAkJAQAEBISAhMTEzg7OwsaePu7g4NDQ2Ehobm2e+1a9eQkZEh1a+9vT0qVKgg6dfR0RGnTp1CZmYmjh07htq1awP4OKPcrFkzqfMRERERfYuY4MohJiYGAGBubi5Vbm5uLqmLiYmBmZmZVL2WlhZMTU0lbfLqV0dHByYmJvn2O3nyZGhpaaFSpUrYu3cvNm7ciIcPH2LLli2YNm0ahg4diooVK6J79+5ISEhQxOWSnN6/f4/Ro0fDxsYG+vr6aNSoEa5cuSKpT0pKgq+vL7777jvo6+ujevXqWLt27Rf7jY+Ph4+PDywtLaGrq4uqVaviyJEjkvrAwEBYW1ujdOnSGDt2rNSxT58+RdWqVZGYmKi4CyUiIlIxWsoOgGRjbGyM7du3S5W1aNECixYtQmBgIJ48eYLw8HB4e3tj9uzZvOFMiQYNGoTbt29j69atsLKywrZt2+Du7o67d++ifPnyGDt2LE6dOoVt27bB1tYWx48fx/Dhw2FlZYWOHTvm2Wd6ejpatWoFMzMz/P333yhfvjyePXsm+VL05s0bDBo0CAEBAahYsSLatWuHFi1aoH379gCA4cOHY/78+RCLxcX1MRARERU7zuDKwcLCAgCkdjfIeZ9TZ2FhgVevXknVZ2ZmIi4uTtImr37T09MRHx+fb7+f27x5M0xMTNCpUyecOXMGnTt3hra2Nn788UecOXNGjqsjRfjw4QP++ecfLFy4EE2aNEHlypUxc+ZMVK5cGWvWrAEAXLp0CX379kWzZs1ga2uLwYMHw9HREZcvX863302bNiEuLg779u2Dm5sbbG1t0bRpUzg6OgIAnjx5AmNjY/To0QMuLi5o3rw57t27BwDYsWMHtLW1pW5aJCIiUkdMcOVgZ2cHCwsLBAcHS8oSExMRGhoKV1dXAICrqyvi4+Nx7do1SZtTp04hOzsbDRo0yLNfJycnaGtrS/UbHh6OyMhISb+fev36NWbPno2VK1cCALKyspCRkQEAyMjIQFZW1tdfLMklMzMTWVlZ0NPTkyrX19fHhQsXAACNGjXCgQMH8OLFCwiCgNOnT+PBgwdo3bp1vv0eOHAArq6u8PHxgbm5OWrWrIl58+ZJ/q6rVKmClJQUhIWFIS4uDleuXEHt2rXx7t07TJs2DatWrSq6iyYiIlIVRX/Pm+rL66689+/fC2FhYUJYWJgAQFi6dKkQFhYmPHv2TBAEQZg/f75gYmIi7N+/X7h165bQqVMnwc7OTvjw4YOkD09PT6Fu3bpCaGiocOHCBaFKlSpCr169JPXPnz8XqlWrJoSGhkrKhg4dKlSoUEE4deqUcPXqVcHV1VVwdXXNM+7evXsLK1eulLxfsGCB4OTkJNy9e1do06aNMHz4cIV9RiQ7V1dXoWnTpsKLFy+EzMxMYevWrYKGhoZQtWpVQRAEITU1VejTp48AQNDS0hJ0dHSELVu2FNhntWrVBF1dXWHAgAHC1atXhZ07dwqmpqbCzJkzJW327Nkj1KxZU6hUqZIwY8YMQRAEYcCAAcKyZcuEs2fPCnXq1BFq1KghtVsHERGRqpNlFwUmuELeH9jp06cFALleffv2FQTh41Zh06ZNE8zNzQVdXV2hZcuWQnh4uFS/b9++FXr16iUYGhoKYrFY6N+/v/D+/XtJfUREhABAOH36tKTsw4cPwvDhw4XSpUsLBgYGwg8//CBER0fnijkoKEioX7++kJWVJSlLTk4WfvzxR8HIyEho2bKlEBsbq6BPiOTx6NEjoUmTJgIAQVNTU3BxcRG8vLwEe3t7QRAEYdGiRULVqlWFAwcOCDdv3hRWrlwpGBoaCidOnMi3zypVqgjW1tZCZmampGzJkiWChYVFvsecOXNGcHZ2FpKTkwVLS0vhzJkzwv379wWxWMwxQkREJYYsCa5IEARBKVPHKiQxMRHGxsZISEjgzTekcMnJyUhMTISlpSV69OiBpKQk/P333zA2NsbevXvRrl07SdtBgwbh+fPnCAoKyrOvpk2bQltbGydPnpSUHT16FG3btkVaWhp0dHSk2qelpaFevXrYunUrtLS04O7uLlkb7uLigunTp6NDhw5FcNVERESKJUu+xjW4REWsVKlSsLS0xLt373Ds2DF06tQJGRkZyMjIgIaG9P+CmpqayM7OzrcvNzc3PHr0SKrNgwcPYGlpmSu5BYA5c+bA09MT9erVQ1ZWFjIzMyV1XKdNRETqituEERWRY8eOQRAEVKtWDY8ePcKECRNgb2+P/v37Q1tbG02bNsWECROgr68PGxsbnD17Fn/++SeWLl0q6aNPnz4oX748/P39AQDDhg3DqlWrMGrUKIwYMQIPHz7EvHnzMHLkyFznv3v3Lnbt2oWwsDAAHx8aoqGhgY0bN8LCwgL379+Hi4tL8XwYRERExYgJLlERSUhIgJ+fH54/fw5TU1N07doVc+fOhba2NgBg586d8PPzg5eXF+Li4mBjY4O5c+di6NChkj4iIyOlZnmtra1x7NgxjBkzBrVr10b58uUxatQoTJo0SercgiBg8ODBWLp0KUqVKgXg4w4OAQEB8PHxQVpaGlatWoXy5csXwydBRERUvLgGF1yDS0RERKTquAa3GLx9+xZmZmZ4+vRpsZ0zPT0dtra2uHr1arGdk4iIiKikYYIrp7lz56JTp06wtbXF27dv4enpCSsrK+jq6sLa2hq+vr5ITEyUOubMmTOoV68edHV1UblyZQQEBOTb//z58yESiTB69GhJmY6ODsaPH5/r19FERERE9D9McOWQkpKCjRs3YuDAgQAADQ0NdOrUCQcOHMCDBw8QEBCAkydPSq2ljIiIQLt27dC8eXPcuHEDo0ePxqBBg3Ds2LFc/V+5cgXr1q1D7dq1c9V5eXnhwoULuHPnTtFdIBEREVEJxgRXDkeOHIGuri4aNmwIAChdujSGDRsGZ2dn2NjYoGXLlhg+fDjOnz8vOWbt2rWws7PDkiVL4ODgAF9fX3Tr1g3Lli2T6jspKQleXl7YsGEDSpcunevcpUuXhpubG3bu3Fm0F0lERERUQjHBlcP58+fh5OSUb/3Lly+xZ88eNG3aVFIWEhICd3d3qXYeHh4ICQmRKvPx8UG7du1ytf1U/fr1pZJnIiIiIvofJrhyePbsGaysrHKV9+rVCwYGBihfvjzEYjH++OMPSV1MTAzMzc2l2pubmyMxMREfPnwA8HHbqOvXr0v2PM2PlZUVnj17poAroeKkjBsTAaBhw4b4559/ivWcREREysQEVw4fPnyAnp5ervJly5bh+vXr2L9/Px4/foyxY8cWus+oqCiMGjUKgYGBefb9KX19faSkpMgcNynXpzcmAsDIkSPh5OQEXV1d1KlTp8BjHz16BCMjI5iYmEiV79mzB87OzjAxMUGpUqVQp04dbN26VarN1KlTMXny5AKfkEZERKROmODKoWzZsnj37l2ucgsLC9jb26Njx45Yt24d1qxZg+joaEldbGysVPvY2FiIxWLo6+vj2rVrePXqFerVqwctLS1oaWnh7NmzWLFiBbS0tKQeqRoXF4dy5coV7UWSQn1+Y2KOAQMGoEePHgUem5GRgV69euH777/PVWdqaoopU6YgJCQEt27dQv/+/dG/f3+pmxfbtGmD9+/f4+jRo4q5GCIiIhXHJ5nJoW7duti2bVuBbXJmy9LS0gAArq6uOHLkiFSbEydOwNXVFQDQsmVL/Pfff1L1/fv3h729PSZNmgRNTU1J+e3bt1G3bt2vvg4qPp/fmAgAK1asAAC8fv0at27dyvfYqVOnwt7eHi1btsSlS5ek6po1ayb1ftSoUdiyZQsuXLgADw8PAICmpibatm2LnTt3ol27dgq6IiIiItXFGVw5eHh44M6dO5JZ3CNHjmDz5s24ffs2nj59isOHD2Po0KFwc3OT/Dp66NChePLkCSZOnIj79+/j999/x19//YUxY8YAAIyMjFCzZk2pV6lSpVCmTBnUrFlT6vznz59H69ati/Wa6et86cbE/Jw6dQq7d+/G6tWrv9hWEAQEBwcjPDwcTZo0karjjYlERPQtYYIrh1q1aqFevXr466+/AHxcE7thwwY0btwYDg4OGDNmDDp27IhDhw5JjrGzs8Phw4dx4sQJODo6YsmSJfjjjz8ks2yFFRISgoSEBHTr1k2h10RFK78bEwvy9u1b9OvXDwEBAQU+kjAhIQGGhobQ0dFBu3btsHLlSrRq1UqqjZWVFaKiorgOl4iIvglcoiCn6dOnY8KECfD29kbz5s1z/eo4L82aNUNYWFihz3HmzJlcZcuXL8eECROgr68vS7ikZPndmFgQb29v9O7dO9ds7OeMjIxw48YNJCUlITg4GGPHjkXFihWlli/o6+sjOzsbaWlpHDtERKT2mODKqV27dnj48CFevHgBa2vrYjlneno6atWqJVnWQCVHfjcmFuTUqVM4cOAAFi9eDODjEoTs7GxoaWlh/fr1GDBgAICPT9KrXLkyAKBOnTq4d+8e/P39pRLcuLg4lCpVisktERF9E5jgfoXRo0cX6/l0dHQwderUYj0nKUZhbkz8XEhIiNTuGfv378eCBQtw6dIllC9fPt/jcmZqP8UbE4mI6FvCBJeoGHh4eMDPzw/v3r2TPIL50aNHSEpKQkxMDD58+IAbN24AAKpXrw4dHR04ODhI9XH16lVoaGhI3XTo7+8PZ2dnVKpUCWlpaThy5Ai2bt2KNWvWSB3LGxOJiOhbwgSXqBh8emPikCFDAACDBg3C2bNnJW1yZlgjIiIku298SXJyMoYPH47nz59DX18f9vb22LZtm9Teui9evMClS5dknkEmIiIqqUSCIAjKDkLZEhMTYWxsjISEhALvVif6GocPH8aECRNw+/ZtaGgU3wYmkyZNwrt377B+/fpiOycREZGiyZKvcQaXqJgo48ZEADAzM5PpsdFEREQlHWdwwRlcIiIiIlUnS77GBz0QERERkVphgktEREREaoUJLhERERGpFaUnuOfOnUOHDh1gZWUFkUiEffv2SdULgoDp06fD0tIS+vr6cHd3x8OHD6XaxMXFwcvLC2KxGCYmJhg4cCCSkpKK8SoKLytbQMjjt9h/4wVCHr9FVvY3vwSaiIiISKGUnuAmJyfD0dERq1evzrN+4cKFWLFiBdauXYvQ0FCUKlUKHh4eSE1NlbTx8vLCnTt3cOLECRw6dAjnzp3D4MGDi+sSCi3odjQaLziFXhv+xaidN9Brw79ovOAUgm5HKzs0IiIiIrWhUrsoiEQi7N27F507dwbwcfbWysoK48aNw/jx4wEACQkJMDc3R0BAAHr27Il79+6hevXquHLlCpydnQEAQUFBaNu2LZ4/fw4rK6svnrc4dlEIuh2NYduu4/MPW/T//13zUz141rQsknMTERERlXRqs4tCREQEYmJi4O7uLikzNjZGgwYNEBISAgAICQmBiYmJJLkFAHd3d2hoaCA0NLTYY85LVraAWQfv5kpuAUjKZh28y+UKRERERAqg0g96iImJAQCYm5tLlZubm0vqYmJiYGZmJlWvpaUFU1NTSZvPpaWlIS0tTfI+MTFRkWHncjkiDtEJqfnWCwCiE1JxOSIOrpXKFGksVPJkZQu4HBGHV+9TYWakh/p2ptDUEH35QCIiom+USie4RcXf3x+zZs0qtvO9ep9/citPO/p2BN2OxqyDd6W+IFka62FGh+pc0kJERJQPlV6iYGFhAQCIjY2VKo+NjZXUWVhY4NWrV1L1mZmZiIuLk7T5nJ+fHxISEiSvqKioIoj+f8yM9BTajr4NOeu2P5/9j0lIxbBt13lzIhERUT5UOsG1s7ODhYUFgoODJWWJiYkIDQ2Fq6srAMDV1RXx8fG4du2apM2pU6eQnZ2NBg0a5Nmvrq4uxGKx1Kso1bczhaWxHvL7pbIIH2fl6tuZFmkcVHJw3TYREZH8lJ7gJiUl4caNG7hx4waAjzeW3bhxA5GRkRCJRBg9ejTmzJmDAwcO4L///kOfPn1gZWUl2WnBwcEBnp6e8Pb2xuXLl3Hx4kX4+vqiZ8+ehdpBoThoaogwo0N1AMiV5Oa8n9GhOtdVkoQs67aJiIhImtIT3KtXr6Ju3bqoW7cuAGDs2LGoW7cupk+fDgCYOHEiRowYgcGDB8PFxQVJSUkICgqCnt7/fp0fGBgIe3t7tGzZEm3btkXjxo2xfv16pVxPfjxrWmLNT/VgJtaVKrcw1uMWYZQL120TERHJT6X2wVWW4tgHN8f71AzUmnkcABDQ3wXfVynHmVvKJeTxW/Ta8O8X2+3wbsidN4iI6JugNvvgqqNPk1lu90T54bptIiIi+THBJVJBXLdNREQkPya4RCqK67aJiIjk800+6IGopPCsaQm3ymW5bpuIiEgGnMElUnFct01ERCQbJrhEREREpFaY4BIRERGRWmGCS0RERERqhQkuEREREakVJrhEREREpFaY4BIRERGRWmGCS0RERERqhQkuEREREakVJrhEREREpFaY4BIRERGRWmGCS0RERERqhQkuEREREakVJrhEREREpFaY4BIRERGRWmGCS0RERERqhQkuEREREakVJrhEREREpFaY4BIRERGRWmGCS0RERERqhQkuEREREakVJrhEREREpFaY4BIRERGRWmGCS0RERERqhQkuEREREakVLVkPyM7OxtmzZ3H+/Hk8e/YMKSkpKFeuHOrWrQt3d3dYW1sXRZxERERERIVS6BncDx8+YM6cObC2tkbbtm1x9OhRxMfHQ1NTE48ePcKMGTNgZ2eHtm3b4t9//y3KmImIiIiI8lXoGdyqVavC1dUVGzZsQKtWraCtrZ2rzbNnz7B9+3b07NkTU6ZMgbe3t0KDJSIiIiL6kkInuMePH4eDg0OBbWxsbODn54fx48cjMjLyq4MjIiIiIpJVoZcofCm5/ZS2tjYqVaokV0BERERERF9D5pvMPpWZmYl169bhzJkzyMrKgpubG3x8fKCnp6eo+IiIiIiIZPJVCe7IkSPx4MEDdOnSBRkZGfjzzz9x9epV7NixQ1HxERERERHJRKYEd+/evfjhhx8k748fP47w8HBoamoCADw8PNCwYUPFRkhEREREJAOZHvSwadMmdO7cGS9fvgQA1KtXD0OHDkVQUBAOHjyIiRMnwsXFpUgCJSIiIiIqDJkS3IMHD6JXr15o1qwZVq5cifXr10MsFmPKlCmYNm0arK2tsX379qKKlYiIiIjoi2Reg9ujRw94eHhg4sSJ8PDwwNq1a7FkyZKiiI2IiIiISGYyzeDmMDExwfr167Fo0SL06dMHEyZMQGpqqqJjIyIiIiKSmUwJbmRkJLp3745atWrBy8sLVapUwbVr12BgYABHR0ccPXq0qOIkIiIiIioUmRLcPn36QENDA4sWLYKZmRmGDBkCHR0dzJo1C/v27YO/vz+6d+9eVLESEREREX2RTGtwr169ips3b6JSpUrw8PCAnZ2dpM7BwQHnzp3D+vXrFR4kEREREVFhyZTgOjk5Yfr06ejbty9OnjyJWrVq5WozePBghQVHRERERCQrmZYo/Pnnn0hLS8OYMWPw4sULrFu3rqjiIiIiIiKSi0wzuDY2Nvj777+LKhYiIiIioq9W6Bnc5ORkmTqWtT0RERERkSIUOsGtXLky5s+fj+jo6HzbCIKAEydOoE2bNlixYoVCAiQiIiIikkWhlyicOXMGv/zyC2bOnAlHR0c4OzvDysoKenp6ePfuHe7evYuQkBBoaWnBz88PQ4YMKcq4iYiIiIjyVOgEt1q1avjnn38QGRmJ3bt34/z587h06RI+fPiAsmXLom7dutiwYQPatGkDTU3NooyZiIiIiChfMt1kBgAVKlTAuHHjMG7cuKKIh4iIiIjoq8i0TRgRERERkapjgktEREREakXlE9ysrCxMmzYNdnZ20NfXR6VKlfDrr79CEARJG0EQMH36dFhaWkJfXx/u7u54+PChEqMmIiIiImVR+QR3wYIFWLNmDVatWoV79+5hwYIFWLhwIVauXClps3DhQqxYsQJr165FaGgoSpUqBQ8PD6SmpioxciIiIiJSBplvMituly5dQqdOndCuXTsAgK2tLXbs2IHLly8D+Dh7u3z5ckydOhWdOnUC8PGRwubm5ti3bx969uyptNiJiIiIqPjJPYMbHx+PJUuWYNCgQRg0aBCWLVuGhIQERcYGAGjUqBGCg4Px4MEDAMDNmzdx4cIFtGnTBgAQERGBmJgYuLu7S44xNjZGgwYNEBISkmefaWlpSExMlHoRERERkXqQK8G9evUqKlWqhGXLliEuLg5xcXFYunQpKlWqhOvXrys0wMmTJ6Nnz56wt7eHtrY26tati9GjR8PLywsAEBMTAwAwNzeXOs7c3FxS9zl/f38YGxtLXtbW1gqNmYiIiIiUR64Ed8yYMejYsSOePn2KPXv2YM+ePYiIiED79u0xevRohQb4119/ITAwENu3b8f169exZcsWLF68GFu2bJG7Tz8/PyQkJEheUVFRCoyYiIiIiJRJrjW4V69exYYNG6Cl9b/DtbS0MHHiRDg7OyssOACYMGGCZBYXAGrVqoVnz57B398fffv2hYWFBQAgNjYWlpaWkuNiY2NRp06dPPvU1dWFrq6uQuMkIiIiItUg1wyuWCxGZGRkrvKoqCgYGRl9dVCfSklJgYaGdJiamprIzs4GANjZ2cHCwgLBwcGS+sTERISGhsLV1VWhsRARERGR6pNrBrdHjx4YOHAgFi9ejEaNGgEALl68iAkTJqBXr14KDbBDhw6YO3cuKlSogBo1aiAsLAxLly7FgAEDAAAikQijR4/GnDlzUKVKFdjZ2WHatGmwsrJC586dFRoLEREREak+uRLcxYsXQyQSoU+fPsjMzAQAaGtrY9iwYZg/f75CA1y5ciWmTZuG4cOH49WrV7CyssKQIUMwffp0SZuJEyciOTkZgwcPRnx8PBo3boygoCDo6ekpNBYiIiIiUn0i4dNHgskoJSUFjx8/BgBUqlQJBgYGCgusOCUmJsLY2BgJCQkQi8VFeq6U9ExUn34MAHB3tgcMdFR+K2JSMo4ZIiIi2fK1r/pJaWBggFq1an1NF0RERERECiVXgvvDDz9AJBLlKheJRNDT00PlypXRu3dvVKtW7asDJCIiIiKShVy7KBgbG+PUqVO4fv06RCIRRCIRwsLCcOrUKWRmZmLXrl1wdHTExYsXFR0vEREREVGB5JrBtbCwQO/evbFq1SrJFl7Z2dkYNWoUjIyMsHPnTgwdOhSTJk3ChQsXFBowEREREVFB5JrB3bhxI0aPHi21P62GhgZGjBiB9evXQyQSwdfXF7dv31ZYoEREREREhSFXgpuZmYn79+/nKr9//z6ysrIAAHp6enmu0yUiIiIiKkpyLVH4+eefMXDgQPzyyy9wcXEBAFy5cgXz5s1Dnz59AABnz55FjRo1FBcpEREREVEhyJXgLlu2DObm5li4cCFiY2MBAObm5hgzZgwmTZoEAGjdujU8PT0VFykRERERUSHIleBqampiypQpmDJlChITEwEg14a7FSpU+ProiIiIiIhk9NWPRCrqJ38REREREclC7gT377//xl9//YXIyEikp6dL1V2/fv2rAyMiIiIikodcuyisWLEC/fv3h7m5OcLCwlC/fn2UKVMGT548QZs2bRQdIxERERFRocmV4P7+++9Yv349Vq5cCR0dHUycOBEnTpzAyJEjkZCQoOgYiYiIiIgKTa4ENzIyEo0aNQIA6Ovr4/379wA+bh+2Y8cOxUVHRERERCQjuRJcCwsLxMXFAfi4W8K///4LAIiIiIAgCIqLjoiIiIhIRnIluC1atMCBAwcAAP3798eYMWPQqlUr9OjRAz/88INCAyQiIiIikoVcuyisX78e2dnZAAAfHx+UKVMGly5dQseOHTFkyBCFBkhEREREJAuZE9x///0XBw8eRHp6Olq2bAlPT0/07NkTPXv2LIr4iIiIiIhkIlOC+/fff6NHjx7Q19eHtrY2li5digULFmD8+PFFFR8RERERkUxkWoPr7+8Pb29vJCQk4N27d5gzZw7mzZtXVLEREREREclMpgQ3PDwc48ePh6amJgBg3LhxeP/+PV69elUkwRERERERyUqmBDclJQVisVjyXkdHB3p6ekhKSlJ4YERERERE8pD5JrM//vgDhoaGkveZmZkICAhA2bJlJWUjR45UTHRERERERDKSKcGtUKECNmzYIFVmYWGBrVu3St6LRCImuERERESkNDIluE+fPi2iMIiIiIiIFEOuJ5kREREREakqJrhEREREpFaY4BIRERGRWmGCS0RERERqhQkuEREREamVQu+ikJiYWOhOP30YBBERERFRcSp0gmtiYgKRSFRgG0EQIBKJkJWV9dWBERERERHJo9AJ7unTp4syDiIiIiIihSh0gtu0adOijIOIiIiISCFkepLZ51JSUhAZGYn09HSp8tq1a39VUERERERE8pIrwX39+jX69++Po0eP5lnPNbhEREREpCxybRM2evRoxMfHIzQ0FPr6+ggKCsKWLVtQpUoVHDhwQNExEhEREREVmlwzuKdOncL+/fvh7OwMDQ0N2NjYoFWrVhCLxfD390e7du0UHScRERERUaHINYObnJwMMzMzAEDp0qXx+vVrAECtWrVw/fp1xUVHRERERCQjuRLcatWqITw8HADg6OiIdevW4cWLF1i7di0sLS0VGiARERERkSzkWqIwatQoREdHAwBmzJgBT09PBAYGQkdHBwEBAYqMj4iIiIhIJnIluD/99JPkz05OTnj27Bnu37+PChUqoGzZsgoLjoiIiIhIVl+1D24OAwMD1KtXTxFdERERERF9FZkS3NmzZxeq3fTp0+UKhoiIiIjoa8mU4M6cORNWVlYwMzODIAh5thGJRExwiYiIiEhpZEpw27Rpg1OnTsHZ2RkDBgxA+/btoaEh10YMRERERERFQqbs9PDhw3j8+DEaNGiACRMmoHz58pg0aZJkyzAiIiIiImWTefrVysoKfn5+CA8Px65du/Dq1Su4uLjAzc0NHz58KIoYiYiIiIgK7at2UXBxccHTp09x9+5dhIWFISMjA/r6+oqKjYiIiIhIZnItoA0JCYG3tzcsLCywcuVK9O3bFy9fvoRYLFZ0fEREREREMpFpBnfhwoUICAjAmzdv4OXlhfPnz6N27dpFFRsRERERkcxkSnAnT56MChUqoHv37hCJRPk+lnfp0qWKiI2IiIiISGYyJbhNmjSBSCTCnTt38m0jEom+OigiIiIiInnJlOCeOXOmiMIo2IsXLzBp0iQcPXoUKSkpqFy5MjZv3gxnZ2cAgCAImDFjBjZs2ID4+Hi4ublhzZo1qFKlilLiJSIiIiLlUfmnNLx79w5ubm7Q1tbG0aNHcffuXSxZsgSlS5eWtFm4cCFWrFiBtWvXIjQ0FKVKlYKHhwdSU1OVGDkRERERKcNXbRNWHBYsWABra2ts3rxZUmZnZyf5syAIWL58OaZOnYpOnToBAP7880+Ym5tj37596NmzZ7HHTERERETKo/IzuAcOHICzszN+/PFHmJmZoW7dutiwYYOkPiIiAjExMXB3d5eUGRsbo0GDBggJCcmzz7S0NCQmJkq9iIiIiEg9qHyC++TJE8l62mPHjmHYsGEYOXIktmzZAgCIiYkBAJibm0sdZ25uLqn7nL+/P4yNjSUva2vror0IIiIiIio2Kp/gZmdno169epg3bx7q1q2LwYMHw9vbG2vXrpW7Tz8/PyQkJEheUVFRCoyYiIiIiJRJ7gT3/Pnz+Omnn+Dq6ooXL14AALZu3YoLFy4oLDgAsLS0RPXq1aXKHBwcEBkZCQCwsLAAAMTGxkq1iY2NldR9TldXF2KxWOpFREREROpBrgT3n3/+gYeHB/T19REWFoa0tDQAQEJCAubNm6fQAN3c3BAeHi5V9uDBA9jY2AD4eMOZhYUFgoODJfWJiYkIDQ2Fq6urQmMhIiIiItUnV4I7Z84crF27Fhs2bIC2trak3M3NDdevX1dYcAAwZswY/Pvvv5g3bx4ePXqE7du3Y/369fDx8QHw8cESo0ePxpw5c3DgwAH8999/6NOnD6ysrNC5c2eFxkJEREREqk+ubcLCw8PRpEmTXOXGxsaIj4//2pikuLi4YO/evfDz88Ps2bNhZ2eH5cuXw8vLS9Jm4sSJSE5OxuDBgxEfH4/GjRsjKCgIenp6Co2FiIiIiFSfXAmuhYUFHj16BFtbW6nyCxcuoGLFioqIS0r79u3Rvn37fOtFIhFmz56N2bNnK/zcRERERFSyyLVEwdvbG6NGjUJoaChEIhFevnyJwMBAjB8/HsOGDVN0jEREREREhSbXDO7kyZORnZ2Nli1bIiUlBU2aNIGuri7Gjx+PESNGKDpGIiIiIqJCkyvBFYlEmDJlCiZMmIBHjx4hKSkJ1atXh6GhoaLjIyIiIiKSiVwJbg4dHZ1ce9QSERERESlToRPcLl26FLrTPXv2yBUMEREREdHXKvRNZsbGxpKXWCxGcHAwrl69Kqm/du0agoODYWxsXCSBEhEREREVRqFncDdv3iz586RJk9C9e3esXbsWmpqaAICsrCwMHz6cj70lIiIiIqWSa5uwTZs2Yfz48ZLkFgA0NTUxduxYbNq0SWHBERERERHJSq4ENzMzE/fv389Vfv/+fWRnZ391UERERERE8pJrF4X+/ftj4MCBePz4MerXrw8ACA0Nxfz589G/f3+FBkhEREREJAu5EtzFixfDwsICS5YsQXR0NADA0tISEyZMwLhx4xQaIBERERGRLORKcDU0NDBx4kRMnDgRiYmJAMCby4iIiIhIJXzVgx4AJrZEREREpFrkusmMiIiIiEhVMcElIiIiIrXCBJeIiIiI1AoTXCIiIiJSK3LfZBYcHIzg4GC8evUq18Md+DQzIiIiIlIWuRLcWbNmYfbs2XB2doalpSVEIpGi4yIiIiIikotcCe7atWsREBCAn3/+WdHxEBERERF9FbnW4Kanp6NRo0aKjoWIiIiI6KvJleAOGjQI27dvV3QsRERERERfTa4lCqmpqVi/fj1OnjyJ2rVrQ1tbW6p+6dKlCgmOiIiIiEhWciW4t27dQp06dQAAt2/flqrjDWdEREREpExyJbinT59WdBxERERERArx1Q96eP78OZ4/f66IWIiIiIiIvppcCW52djZmz54NY2Nj2NjYwMbGBiYmJvj1119zPfSBiIiIiKg4FWqJwqZNm1C/fn3UrFkTADBlyhRs3LgR8+fPh5ubGwDgwoULmDlzJlJTUzF37tyii5iIiIiIqACFSnBtbGzQpk0bbNmyBS1atMCWLVvwxx9/oGPHjpI2tWvXRvny5TF8+HAmuERERESkNIVaotCyZUsEBwdj8uTJAIC4uDjY29vnamdvb4+4uDjFRkhEREREJINCr8GtWrUqzp07BwBwdHTEqlWrcrVZtWoVHB0dFRcdEREREZGMZNomTE9PDwCwcOFCtGvXDidPnoSrqysAICQkBFFRUThy5IjioyQiIiIiKiS5dlFo2rQpHjx4gB9++AHx8fGIj49Hly5dEB4eju+//17RMRIRERERFZpcD3oAACsrK95MRkREREQqp9AJ7q1bt1CzZk1oaGjg1q1bBbatXbv2VwdGRERERCSPQie4derUQUxMDMzMzFCnTh2IRCIIgpCrnUgkQlZWlkKDJCIiIiIqrEInuBEREShXrpzkz0REREREqqjQCa6NjU2efyYiIiIiUiVy7aLg7++PTZs25SrftGkTFixY8NVBERERERHJS64Ed926dXk+yaxGjRpYu3btVwdFRERERCQvuRLcmJgYWFpa5iovV64coqOjvzooIiIiIiJ5yZXgWltb4+LFi7nKL168CCsrq68OioiIiIhIXnI96MHb2xujR49GRkYGWrRoAQAIDg7GxIkTMW7cOIUGSEREREQkC7kS3AkTJuDt27cYPnw40tPTAQB6enqYNGkS/Pz8FBogEREREZEsZE5ws7KycPHiRUyePBnTpk3DvXv3oK+vjypVqkBXV7coYiQiIiIiKjSZE1xNTU20bt0a9+7dg52dHVxcXIoiLiIiIiIiuch1k1nNmjXx5MkTRcdCRERERPTV5Epw58yZg/Hjx+PQoUOIjo5GYmKi1IuIiIiISFnkusmsbdu2AICOHTtCJBJJygVBgEgkQlZWlmKiIyIiIiKSkVwJ7unTpxUdBxERERGRQsiV4DZt2lTRcRARERERKYRcCS4AxMfHY+PGjbh37x4AoEaNGhgwYACMjY0VFhwRERERkazkusns6tWrqFSpEpYtW4a4uDjExcVh6dKlqFSpEq5fv67oGImIiIiICk2uBHfMmDHo2LEjnj59ij179mDPnj2IiIhA+/btMXr0aAWHKG3+/PkQiURS50lNTYWPjw/KlCkDQ0NDdO3aFbGxsUUaBxERERGpJrlncCdNmgQtrf+tcNDS0sLEiRNx9epVhQX3uStXrmDdunWoXbu2VPmYMWNw8OBB7N69G2fPnsXLly/RpUuXIouDiIiIiFSXXAmuWCxGZGRkrvKoqCgYGRl9dVB5SUpKgpeXFzZs2IDSpUtLyhMSErBx40YsXboULVq0gJOTEzZv3oxLly7h33//LZJYiIiIiEh1yZXg9ujRAwMHDsSuXbsQFRWFqKgo7Ny5E4MGDUKvXr0UHSMAwMfHB+3atYO7u7tU+bVr15CRkSFVbm9vjwoVKiAkJCTPvtLS0vhwCiIiIiI1JdcuCosXL4ZIJEKfPn2QmZkJANDW1sawYcMwf/58hQYIADt37sT169dx5cqVXHUxMTHQ0dGBiYmJVLm5uTliYmLy7M/f3x+zZs1SeJxEREREpHxyzeDq6Ojgt99+w7t373Djxg3cuHEDcXFxWLZsGXR1dRUaYFRUFEaNGoXAwEDo6ekppE8/Pz8kJCRIXlFRUQrpl4iIiIiUT+59cAHAwMBAMnNqYGCgiHhyuXbtGl69eoV69epJyrKysnDu3DmsWrUKx44dQ3p6OuLj46VmcWNjY2FhYZFnn7q6ugpPxImIiIhINcg1g5uZmYlp06bB2NgYtra2sLW1hbGxMaZOnYqMjAyFBtiyZUv8999/kpniGzduwNnZGV5eXpI/a2trIzg4WHJMeHg4IiMj4erqqtBYiIiIiEj1yTWDO2LECOzZswcLFy6UJJEhISGYOXMm3r59izVr1igsQCMjI9SsWVOqrFSpUihTpoykfODAgRg7dixMTU0hFosxYsQIuLq6omHDhgqLg4iIiIhKBrkS3O3bt2Pnzp1o06aNpKx27dqwtrZGr169FJrgFsayZcugoaGBrl27Ii0tDR4eHvj999+LNQYiIiIiUg1yJbi6urqwtbXNVW5nZwcdHZ2vjemLzpw5I/VeT08Pq1evxurVq4v83ERERESk2uRag+vr64tff/0VaWlpkrK0tDTMnTsXvr6+CguOiIiIiEhWcs3ghoWFITg4GN999x0cHR0BADdv3kR6ejpatmwp9ZjcPXv2KCZSIiIiIqJCkCvBNTExQdeuXaXKrK2tFRIQEREREdHXkCvB3bx5s6LjICIiIiJSiK960MPr168RHh4OAKhWrRrKlSunkKCIiIiIiOQl101mycnJGDBgACwtLdGkSRM0adIEVlZWGDhwIFJSUhQdIxERERFRocmV4I4dOxZnz57FwYMHER8fj/j4eOzfvx9nz57FuHHjFB0jEREREVGhybVE4Z9//sHff/+NZs2aScratm0LfX19dO/evdgf9EBERERElEOuGdyUlBSYm5vnKjczM+MSBSIiIiJSKrkSXFdXV8yYMQOpqamSsg8fPmDWrFlwdXVVWHBERERERLKSa4nC8uXL4enpmetBD3p6ejh27JhCAyQiIiIikoVcCW6tWrXw8OFDBAYG4v79+wCAXr16wcvLC/r6+goNkIiIiIhIFjInuBkZGbC3t8ehQ4fg7e1dFDEREREREclN5jW42traUmtviYiIiIhUiVw3mfn4+GDBggXIzMxUdDxERERERF9FrjW4V65cQXBwMI4fP45atWqhVKlSUvV79uxRSHBERERERLKSK8E1MTFB165dFR0LEREREdFXkyvB3bx5s6LjICIiIiJSCJnW4GZnZ2PBggVwc3ODi4sLJk+ejA8fPhRVbEREREREMpMpwZ07dy5++eUXGBoaonz58vjtt9/g4+NTVLEREREREclMpgT3zz//xO+//45jx45h3759OHjwIAIDA5GdnV1U8RERERERyUSmBDcyMhJt27aVvHd3d4dIJMLLly8VHhgRERERkTxkSnAzMzOhp6cnVaatrY2MjAyFBkVEREREJC+ZdlEQBAH9+vWDrq6upCw1NRVDhw6V2guX++ASERERkbLIlOD27ds3V9lPP/2ksGCIiIiIiL6WTAku978lIiIiIlUn0xpcIiIiIiJVxwSXiIiIiNQKE1wiIiIiUitMcImIiIhIrTDBJSIiIiK1wgSXiIiIiNQKE1wiIiIiUitMcImIiIhIrTDBJSIiIiK1wgSXiIiIiNQKE1wiIiIiUitMcImIiIhIrTDBJSIiIiK1wgSXiIiIiNQKE1wiIiIiUitMcImIiIhIrTDBJSIiIiK1wgSXiIiIiNQKE1wiIiIiUitMcImIiIhIrTDBJSIiIiK1wgSXiIiIiNQKE1wiIiIiUitMcImIiIhIrTDBJSIiIiK1wgSXiIiIiNQKE1wiIiIiUisqn+D6+/vDxcUFRkZGMDMzQ+fOnREeHi7VJjU1FT4+PihTpgwMDQ3RtWtXxMbGKiliIiIiIlImlU9wz549Cx8fH/z77784ceIEMjIy0Lp1ayQnJ0vajBkzBgcPHsTu3btx9uxZvHz5El26dFFi1ERERESkLFrKDuBLgoKCpN4HBATAzMwM165dQ5MmTZCQkICNGzdi+/btaNGiBQBg8+bNcHBwwL///ouGDRsqI2wiIiIiUhKVn8H9XEJCAgDA1NQUAHDt2jVkZGTA3d1d0sbe3h4VKlRASEiIUmIkIiIiIuVR+RncT2VnZ2P06NFwc3NDzZo1AQAxMTHQ0dGBiYmJVFtzc3PExMTk2U9aWhrS0tIk7xMTE4ssZiIiIiIqXiVqBtfHxwe3b9/Gzp07v6off39/GBsbS17W1tYKipCIiIiIlK3EJLi+vr44dOgQTp8+je+++05SbmFhgfT0dMTHx0u1j42NhYWFRZ59+fn5ISEhQfKKiooqytCJiIiIqBipfIIrCAJ8fX2xd+9enDp1CnZ2dlL1Tk5O0NbWRnBwsKQsPDwckZGRcHV1zbNPXV1diMViqRcRERERqQeVX4Pr4+OD7du3Y//+/TAyMpKsqzU2Noa+vj6MjY0xcOBAjB07FqamphCLxRgxYgRcXV25gwIRERHRN0jlE9w1a9YAAJo1ayZVvnnzZvTr1w8AsGzZMmhoaKBr165IS0uDh4cHfv/992KOlIiIiIhUgconuIIgfLGNnp4eVq9ejdWrVxdDRERERESkylR+DS4RERERkSyY4BIRERGRWmGCS0RERERqhQkuEREREakVJrhEREREpFaY4BIRERGRWmGCS0RERERqhQkuEREREakVJrhEREREpFaY4BIRERGRWmGCS0Skos6dO4cOHTrAysoKIpEI+/bt++Ixq1evhoODA/T19VGtWjX8+eefUvUnTpxA1apVIRaL8fPPPyM9PV1Sl5CQgKpVq+LZs2eKvhQiomLFBJeISEUlJyfD0dERq1evLlT7NWvWwM/PDzNnzsSdO3cwa9Ys+Pj44ODBgwCA7Oxs9O7dG0OHDkVISAiuXr2K9evXS46fPHkyhg4dChsbmyK5HiKi4qKl7ACIiChvbdq0QZs2bQrdfuvWrRgyZAh69OgBAKhYsSKuXLmCBQsWoEOHDnjz5g3evHmD4cOHQ09PDx07dsS9e/cAAJcuXcKVK1ewatWqIrkWIqLixBlcIiI1kZaWBj09PakyfX19XL58GRkZGShXrhwsLS1x/PhxpKSk4Pz586hduzYyMjIwbNgwrFu3DpqamkqKnohIcZjgEhGpCQ8PD/zxxx+4du0aBEHA1atX8ccffyAjIwNv3ryBSCTCX3/9hV9//RU1atRA3bp1MWDAAMyfPx/NmzeHnp4e3NzcUK1aNc7kElGJxgSXiEhNTJs2DW3atEHDhg2hra2NTp06oW/fvgAADY2P/9w3btwYV65cQUREBFavXo2IiAj8+eefmDNnDn7++WcMHjwY58+fx+zZs3Hr1i1lXg7JafXq1bC1tYWenh4aNGiAy5cv59t2w4YN+P7771G6dGmULl0a7u7uudovXrwYZmZmMDMzw5IlS6TqQkND4eTkhMzMzCK5FiJ5McElIlIT+vr62LRpE1JSUvD06VNERkbC1tYWRkZGKFeuXJ7HDBkyBEuWLEF2djbCwsLw448/wszMDE2bNsXZs2eL+Qroa+3atQtjx47FjBkzcP36dTg6OsLDwwOvXr3Ks/2ZM2fQq1cvnD59GiEhIbC2tkbr1q3x4sULAMCtW7cwffp07Ny5Ezt27MDUqVPx33//AQAyMzMxdOhQrF27FlpavKWnJJPlSxEA7N69G/b29tDT00OtWrVw5MgRqXpV+FLEBJeISM1oa2vju+++g6amJnbu3In27dtLZnA/tXHjRpiamqJjx47IysoCAGRkZEj+m1NGJcfSpUvh7e2N/v37o3r16li7di0MDAywadOmPNsHBgZi+PDhqFOnDuzt7fHHH38gOzsbwcHBAID79++jdu3aaNGiBVq2bInatWvj/v37AIBFixahSZMmcHFxKbbrI8WT9UvRpUuX0KtXLwwcOBBhYWHo3LkzOnfujNu3bwNQnS9FTHCJiFRUUlISbty4gRs3bgAAIiIicOPGDURGRgIA/Pz80KdPH0n7Bw8eYNu2bXj48CEuX76Mnj174vbt25g3b16uvl+9eoU5c+Zg5cqVAIDSpUvDwcEBy5cvR0hICIKDg+Hm5lb0F0kKk56ejmvXrsHd3V1SpqGhAXd3d4SEhBSqj5SUFGRkZMDU1BQAUKtWLTx48ACRkZF49uwZHjx4gJo1a+Lx48fYvHkz5syZUyTXQsVH1i9Fv/32Gzw9PTFhwgQ4ODjg119/Rb169STr9lXlSxETXCIiFXX16lXUrVsXdevWBQCMHTsWdevWxfTp0wEA0dHRkmQXALKysrBkyRI4OjqiVatWSE1NxaVLl2Bra5ur71GjRmHcuHGwsrKSlAUEBEhmfCdMmMCZuRLmzZs3yMrKgrm5uVS5ubk5YmJiCtXHpEmTYGVlJUmSHRwcMG/ePLRq1QqtW7eGv78/HBwcMGTIECxcuBDHjh1DzZo1UbduXZw7d07h10RFS54vRSEhIVLtgY83uOa0V5UvRVw0Q0Skopo1awZBEPKtDwgIkHrv4OCAsLCwQvW9Y8eOXGX169eX7ItL35758+dj586dOHPmjNR2c0OHDsXQoUMl77ds2QIjIyO4urqiWrVquHLlCp4/f46ePXsiIiICurq6ygif5FDQl6KcWdfPxcTEFPgl6tMvRQAkX4rc3d0lX4pmzpwJbW1t/Pbbb2jSpEkRXBkTXCIiIrVQtmxZaGpqIjY2Vqo8NjYWFhYWBR67ePFizJ8/HydPnkTt2rXzbffmzRvMmjUL586dQ2hoKKpWrYoqVaqgSpUqyMjIwIMHD1CrVi2FXA+VXKrwpYhLFIiIiNSAjo4OnJycJDeIAZDcMObq6prvcQsXLsSvv/6KoKAgODs7F3iOMWPGYMyYMfjuu++QlZUluSkR+HgDEW9MLFnk+VJkYWEhU/ucL0UrV66U+lLUvHlzyZeiosAEl4iISE2MHTsWGzZswJYtW3Dv3j0MGzYMycnJ6N+/PwCgT58+8PPzk7RfsGABpk2bhk2bNsHW1hYxMTGIiYlBUlJSrr5PnDiBBw8ewMfHBwDg4uKC+/fv4+jRo1i/fj00NTVRrVq14rlQUgh5vhS5urpKtQc+jo382ivrSxGXKBAREamJHj164PXr15g+fTpiYmJQp04dBAUFSdZMRkZGSm0Zt2bNGqSnp6Nbt25S/cyYMQMzZ86UvP/w4QN8fX2xa9cuyfHfffcdVq5cif79+0NXVxdbtmyBvr5+0V8kKdTYsWPRt29fODs7o379+li+fHmuL0Xly5eHv78/gI83qDZt2hRLlixBu3btsHPnTly9ehXr16/P1XfOl6ItW7YAkP5SFBUVVaRfipjgEhGVYG/fvoWDgwMuX76c524Jn1u7di0OHz6MgwcPFn1wpBS+vr7w9fXNs+7MmTNS758+fVqoPvX19REeHp6rfNCgQRg0aJCsIZIKkfVLUaNGjbB9+3ZMnToVv/zyC6pUqYJ9+/ahZs2aUv0q+0uRSCjoFt1vRGJiIoyNjZGQkACxWFyk50pJz0T16ccAAHdne8BAh98xqGAcM1SQsWPH4v3799iwYQPevn0LLy8v3Lp1C2/fvoWZmRk6deqEefPmSf5tS09Ph52dHXbu3Invv/9eydETERWeLPka1+ASEZVQKSkp2LhxIwYOHAjg4/6VnTp1woEDB/DgwQMEBATg5MmTUncz6+jooHfv3lixYoWywiYiKnKcCiIiKqGOHDkCXV1dNGzYEMDHp5ENGzZMUm9jY4Phw4dj0aJFUsd16NABrVq1wocPH7hmkojUEmdwiYhKqPPnz8PJySnf+pcvX2LPnj1o2rSpVLmzszMyMzMRGhpa1CESESkFE1wiohLq2bNnUo/azdGrVy8YGBigfPnyEIvF+OOPP6TqDQwMYGxsjGfPnhVXqERExYoJLhFRCfXhwwepR6rmWLZsGa5fv479+/fj8ePHGDt2bK42+vr6SElJKY4wSYXk3HxY2N0T1q5diw4dOhRtUKTSSuqYYYJLRFRClS1bFu/evctVbmFhAXt7e3Ts2BHr1q3DmjVrEB0dLdUmLi4O5cqVK65QSUXMnTsXnTp1gq2tLW7evIlevXrB2toa+vr6cHBwwG+//SbVfsCAAbh+/TrOnz+vpIhJ2T4dM8DHbcPatWsHAwMDmJmZYcKECcjMzJS0V5Uxw5vMiIhKqLp162Lbtm0FtsnOzgYApKWlScoeP36M1NRU1K1bt0jjI9WSs+vGsWMftx28du0azMzMsG3bNlhbW+PSpUsYPHgwNDU1JfvofrrrBreV+/Z8PmaysrLQrl07WFhY4NKlS4iOjkafPn2gra2NefPmAVCdMcMEl4iohPLw8ICfnx/evXuH0qVL48iRI4iNjYWLiwsMDQ1x584dTJgwAW5ublIPgTh//jwqVqyISpUqKS94Knaf77oxYMAAqfqKFSsiJCQEe/bskXpQBHfd+HZ9PmaOHz+Ou3fv4uTJkzA3N0edOnXw66+/YtKkSZg5cyZ0dHQAqMaY4RIFIqISqlatWqhXrx7++usvAB/X1W7YsAGNGzeGg4MDxowZg44dO+LQoUNSx+3YsQPe3t7KCJmU6Eu7bgBAQkICTE1Npcq468a36/MxExISglq1akmecgZ8/KKdmJiIO3fuSMpUYcxwBpeIqASbPn06JkyYAG9vbzRv3hyXLl0qsP2dO3dw48YNSVJM3478dt3IcenSJezatQuHDx+WKueuG9+uz8dMTEyMVHILQPI+JiZGUqYKY4YJLhFRCdauXTs8fPgQL168gLW19RfbR0dH488//4SxsXExREeqJL9dNwDg9u3b6NSpE2bMmIHWrVvnqueuG9+mgsbMlyh7zDDBJSIq4UaPHl3otu7u7kUXCKm0/HbduHv3Llq2bInBgwdj6tSpeR7LXTe+TZ+PGQsLC1y+fFmqTWxsrKTuU8oeM1yDS0RE9A2oW7cu7t69K1V2584dNG/eHH379sXcuXPzPI67bny7Ph8zrq6u+O+///Dq1StJ2YkTJyAWi1G9enVJmSqMGSa4RERE3wAPDw/cuXNHMiN3+/ZtNG/eHK1bt8bYsWMRExODmJgYvH79Wuo47rrx7fp8zLRu3RrVq1fHzz//jJs3b+LYsWOYOnUqfHx8oKurKzlOFcYME1wiIqJvwOe7bvz99994/fo1tm3bBktLS8nLxcVF6jjuuvHt+nzMaGpq4tChQ9DU1ISrqyt++ukn9OnTB7Nnz5Y6ThXGjEgQBEGpEaiAxMREGBsbIyEhAWKxuEjPlZKeierTP26YfHe2Bwx0uAyaCsYxQ0SKcvjwYUyYMAG3b9+GhsaX57ju3LmDFi1a4MGDB7wx8RulSmNGlnyNPymJiIi+Edx1g2RVUscME1wiIqJvCHfdIFmVxDHDNbhEREREpFaY4BIRERGRWuESBSIiNZOVLeByRBxevU+FmZEe6tuZQlNDpOywiIiKDRNcIiI1EnQ7GrMO3kV0QqqkzNJYDzM6VIdnTUslRkZEVHy4RIGISE0E3Y7GsG3XpZJbAIhJSMWwbdcRdDtaSZERERUvJrhERGogK1vArIN3kdfG5jllsw7eRVb2N7/1ORF9A5jgEhGpgcsRcblmbj8lAIhOSMXliLjiC4qISEm4BpeISA28ep9/citPO/q28MZEUjdqleCuXr0aixYtQkxMDBwdHbFy5UrUr19f2WERERU5MyM9hbajbwdvTCR5qPqXIrVJcHft2oWxY8di7dq1aNCgAZYvXw4PDw+Eh4fDzMxM2eERERWp+namsDTWQ0xCap7rcEUALIw//hAiypFzY+LnYybnxsQ1P9Vjkku5lIQvRWqzBnfp0qXw9vZG//79Ub16daxduxYGBgbYtGmTskMjIipymhoizOhQHcDHZPZTOe9ndKiuUjMspFy8MZHkUVJ2a1GLBDc9PR3Xrl2Tev6xhoYG3N3dERISosTIiIiKj2dNS6z5qR7MxLpS5RbGepyJo1x4YyLJqiR9KVKLJQpv3rxBVlYWzM3NpcrNzc1x//79XO3T0tKQlpYmeZ+QkAAASExMLNpAAaSkZyI7LUVyvkwdtfgroCLEMUOyaFShFPYMqgtX/1MAgDU/1UOjSmWhqSEqln/jqOR4Gv1a8m/Ll9rVKKddDBGRqrv8JA4vXhX8hefFqxScvvUM9SsqfjlUzr9hgvDlBPqb/Enp7++PWbNm5Sq3trYu1jgslxfr6UgNcMyQrNovV3YEVNL1Xq7sCKikabW8aPt///49jI2NC2yjFglu2bJloampidjYWKny2NhYWFhY5Grv5+eHsWPHSt5nZ2cjLi4OZcqUgUhU9OvTEhMTYW1tjaioKIjF4iI/H5V8HDMkK44ZkhXHDMmquMeMIAh4//49rKysvthWLRJcHR0dODk5ITg4GJ07dwbwMWkNDg6Gr69vrva6urrQ1ZVeo2ZiYlIMkUoTi8X8R4RkwjFDsuKYIVlxzJCsinPMfGnmNodaJLgAMHbsWPTt2xfOzs6oX78+li9fjuTkZPTv31/ZoRERERFRMVKbBLdHjx54/fo1pk+fjpiYGNSpUwdBQUG5bjwjIiIiIvWmNgkuAPj6+ua5JEHV6OrqYsaMGbmWSRDlh2OGZMUxQ7LimCFZqfKYEQmF2WuBiIiIiKiEUIsHPRARERER5WCCS0RERERqhQkuEREREakVJrhEREREpFaY4Bajfv36QSQS5Xp5enoqOzRSQZ+OF21tbZibm6NVq1bYtGkTsrOzlR0eqbCYmBiMGDECFStWhK6uLqytrdGhQwcEBwcrOzRSQZ//bCpTpgw8PT1x69YtZYdGKiwkJASamppo166dskPJExPcYubp6Yno6Gip144dO5QdFqmonPHy9OlTHD16FM2bN8eoUaPQvn17ZGZmKjs8UkFPnz6Fk5MTTp06hUWLFuG///5DUFAQmjdvDh8fH2WHRyrq059NwcHB0NLSQvv27ZUdFqmwjRs3YsSIETh37hxevnyp7HByUat9cEsCXV1dWFhYKDsMKiE+HS/ly5dHvXr10LBhQ7Rs2RIBAQEYNGiQkiMkVTN8+HCIRCJcvnwZpUqVkpTXqFEDAwYMUGJkpMo+/bfGwsICkydPxvfff4/Xr1+jXLlySo6OVE1SUhJ27dqFq1evIiYmBgEBAfjll1+UHZYUzuASlTAtWrSAo6Mj9uzZo+xQSMXExcUhKCgIPj4+UsltDhMTk+IPikqcpKQkbNu2DZUrV0aZMmWUHQ6poL/++gv29vaoVq0afvrpJ2zatAmq9lgFJrjF7NChQzA0NJR6zZs3T9lhUQljb2+Pp0+fKjsMUjGPHj2CIAiwt7dXdihUwnz6s8nIyAgHDhzArl27oKHBNIFy27hxI3766ScAH5e3JCQk4OzZs0qOShqXKBSz5s2bY82aNVJlpqamSoqGSipBECASiZQdBqkYVZtBoZLj059N7969w++//442bdrg8uXLsLGxUXJ0pErCw8Nx+fJl7N27FwCgpaWFHj16YOPGjWjWrJlyg/sEE9xiVqpUKVSuXFnZYVAJd+/ePdjZ2Sk7DFIxVapUgUgkwv3795UdCpUwn/9s+uOPP2BsbIwNGzZgzpw5SoyMVM3GjRuRmZkJKysrSZkgCNDV1cWqVatgbGysxOj+h797ICphTp06hf/++w9du3ZVdiikYkxNTeHh4YHVq1cjOTk5V318fHzxB0UlkkgkgoaGBj58+KDsUEiFZGZm4s8//8SSJUtw48YNyevmzZuwsrJSqV2hOINbzNLS0hATEyNVpqWlhbJlyyopIlJlOeMlKysLsbGxCAoKgr+/P9q3b48+ffooOzxSQatXr4abmxvq16+P2bNno3bt2sjMzMSJEyewZs0a3Lt3T9khkgr69GfTu3fvsGrVKiQlJaFDhw5KjoxUyaFDh/Du3TsMHDgw10xt165dsXHjRgwdOlRJ0UljglvMgoKCYGlpKVVWrVo1/kqR8pQzXrS0tFC6dGk4OjpixYoV6Nu3L2/+oDxVrFgR169fx9y5czFu3DhER0ejXLlycHJyyrX+nyjHpz+bjIyMYG9vj927d6vUmkpSvo0bN8Ld3T3PZQhdu3bFwoULcevWLdSuXVsJ0UkTCbwrgYiIiIjUCKeAiIiIiEitMMElIiIiIrXCBJeIiIiI1AoTXCIiIiJSK0xwiYiIiEitMMElIiIiIrXCBJeIiIiI1AoTXCIiKrSAgACYmJgoOwwiogIxwSUiUlEzZ85EnTp1lB2GlB49euDBgwfKDoOIqEB8VC8RERVKRkYG9PX1oa+vr+xQiIgKxBlcIqIilJ2djYULF6Jy5crQ1dVFhQoVMHfuXADApEmTULVqVRgYGKBixYqYNm0aMjIyAHxcCjBr1izcvHkTIpEIIpEIAQEBAID4+HgMGjQI5cqVg1gsRosWLXDz5k2p886ZMwdmZmYwMjLCoEGDMHnyZKnZ4OzsbMyePRvfffcddHV1UadOHQQFBUnqnz59CpFIhF27dqFp06bQ09NDYGBgriUKjx8/RqdOnWBubg5DQ0O4uLjg5MmTRfNhEhEVEhNcIqIi5Ofnh/nz52PatGm4e/cutm/fDnNzcwCAkZERAgICcPfuXfz222/YsGEDli1bBuDjUoBx48ahRo0aiI6ORnR0NHr06AEA+PHHH/Hq1SscPXoU165dQ7169dCyZUvExcUBAAIDAzF37lwsWLAA165dQ4UKFbBmzRqpuH777TcsWbIEixcvxq1bt+Dh4YGOHTvi4cOHUu0mT56MUaNG4d69e/Dw8Mh1fUlJSWjbti2Cg4MRFhYGT09PdOjQAZGRkQr/LImICk0gIqIikZiYKOjq6gobNmwoVPtFixYJTk5OkvczZswQHB0dpdqcP39eEIvFQmpqqlR5pUqVhHXr1gmCIAgNGjQQfHx8pOrd3Nyk+rKyshLmzp0r1cbFxUUYPny4IAiCEBERIQAQli9fLtVm8+bNgrGxcYHXUaNGDWHlypUFtiEiKkqcwSUiKiL37t1DWloaWrZsmWf9rl274ObmBgsLCxgaGmLq1KlfnPm8efMmkpKSUKZMGRgaGkpeERERePz4MQAgPDwc9evXlzru0/eJiYl4+fIl3NzcpNq4ubnh3r17UmXOzs4FxpOUlITx48fDwcEBJiYmMDQ0xL179ziDS0RKxZvMiIiKSEE3Y4WEhMDLywuzZs2Ch4cHjI2NsXPnTixZsqTAPpOSkmBpaYkzZ87kqiuK7btKlSpVYP348eNx4sQJLF68GJUrV4a+vj66deuG9PR0hcdCRFRYTHCJiIpIlSpVoK+vj+DgYAwaNEiq7tKlS7CxscGUKVMkZc+ePZNqo6Ojg6ysLKmyevXqISYmBlpaWrC1tc3zvNWqVcOVK1fQp08fSdmVK1ckfxaLxbCyssLFixfRtGlTSfnFixdzzfx+ycWLF9GvXz/88MMPAD4m4E+fPpWpDyIiRWOCS0RURPT09DBp0iRMnDgROjo6cHNzw+vXr3Hnzh1UqVIFkZGR2LlzJ1xcXHD48GHs3btX6nhbW1tERETgxo0b+O6772BkZAR3d3e4urqic+fOWLhwIapWrYqXL1/i8OHD+OGHH+Ds7IwRI0bA29sbzs7OaNSoEXbt2oVbt26hYsWKkr4nTJiAGTNmoFKlSqhTpw42b96MGzduIDAwUKZrrFKlCvbs2YMOHTpAJBJh2rRpyM7OVsjnR0QkLya4RERFaNq0adDS0sL06dPx8uVLWFpaYujQoRg4cCDGjBkDX19fpKWloV27dpg2bRpmzpwpObZr167Ys2cPmjdvjvj4eGzevBn9+vXDkSNHMGXKFPTv3x+vX7+GhYUFmjRpItmdwcvLC0+ePMH48eORmpqK7t27o1+/frh8+bKk75EjRyIhIQHjxo3Dq1evUL16dRw4cABVqlSR6fqWLl2KAQMGoFGjRihbtiwmTZqExMREhXx2RETyEgmCICg7CCIiKlqtWrWChYUFtm7dquxQiIiKHGdwiYjUTEpKCtauXQsPDw9oampix44dOHnyJE6cOKHs0IiIigVncImI1MyHDx/QoUMHhIWFITU1FdWqVcPUqVPRpUsXZYdGRFQsmOASERERkVrhgx6IiIiISK0wwSUiIiIitcIEl4iIiIjUChNcIiIiIlIrTHCJiIiISK0wwSUiIiIitcIEl4iIiIjUChNcIiIiIlIrTHCJiIiISK38H3krrYtIEHBFAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'categoria', 0, 100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observamos que existe una gran correlación entre la variable categoría y la variable objetivo, ya que los individuos tipificados como mal pago se encuentran concentrados en las categorías E y D.\n",
    "\n",
    "Es decir, la variable categoría separa casi completamente a los clientes buena paga y mala paga, por lo tanto, no tiene sentido usarla como explicativa"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Tiempo de Desembolso"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En este campo se presenta un registro con valor negativo, el cual debemos reemplazar o eliminar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data = df[df.tiempo_desembolso >= 0], \n",
    "    x = 'tiempo_desembolso', \n",
    "    y = 'clase', orient = 'h'\n",
    ")\n",
    "plt.title('Distribución de Tiempo de Desembolso')\n",
    "plt.xlabel('Tiempo de desembolso')\n",
    "plt.ylabel('Clase')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se observa una leve tendencia a que el desembolso para los individuos clasificados como mala paga es mayor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Monto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En esta columna observamos la presencia de una distribución sesgada a la derecha, y la existencia de outliers de acuerdo a la regla intercuartil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data = remove_outliers_iqr(df, 'monto'), \n",
    "    x = 'monto', \n",
    "    y = 'clase', orient = 'h'\n",
    ")\n",
    "plt.title('Distribución del Monto')\n",
    "plt.xlabel('Monto')\n",
    "plt.ylabel('Clase')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se observa una leve tendencia a que el monto para los individuos clasificados como mala paga es menor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Saldo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En esta columna observamos la presencia de una distribución sesgada a la derecha, y la existencia de outliers de acuerdo a la regla intercuartil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data = remove_outliers_iqr(df, 'saldo'), \n",
    "    x = 'saldo', \n",
    "    y = 'clase', orient = 'h'\n",
    ")\n",
    "plt.title('Distribución del Saldo')\n",
    "plt.xlabel('Saldo')\n",
    "plt.ylabel('Clase')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "De forma similar al monto, se observa una leve tendencia a que el saldo para los individuos clasificados como mala paga es menor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7. Plazo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data = remove_outliers_iqr(df, 'plazo'), \n",
    "    x = 'plazo', \n",
    "    y = 'clase', orient = 'h'\n",
    ")\n",
    "plt.title('Distribución del Plazo')\n",
    "plt.xlabel('Plazo')\n",
    "plt.ylabel('Clase')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No se observa una diferencia evidente entre el plazo de los clientes buena paga y los mala paga"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8. Tasa"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observamos que el 93.1% de clientes manejan una tasa de interés de 2.1742"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data =  df, \n",
    "    x = 'tasa', \n",
    "    y = 'clase', orient = 'h'\n",
    ")\n",
    "plt.title('Distribución de la Tasa')\n",
    "plt.xlabel('tasa')\n",
    "plt.ylabel('Clase')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observamos que hay clientes mala paga que se caracterizan por tener tasas de interés muy altas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 9. Cuota"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AsBZBBQAAWIugAgAArEVQAQAA1qrSN3xzuVzav3+/atSo4fPbkQMAgIphjNHx48dVr149BQSU/J1JlQ4q+/fv98nfDgEAAJXvp59+UoMGDUpsU6WDSo0aNST9cqC++BsiAACg4uXk5Khhw4aez/GSVOmg4j7dExkZSVABAKCKKc20DSbTAgAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKwV5O8CABtlZmYqOzvb32WgEjidTkVHR/u7DADFIKgABWRmZurue+7VubO5/i4FlSA4JFTz336LsAJYiqACFJCdna1zZ3N1Or6HXGFOf5dTKgGnsxSenqLTcd3lCo/ydzlVRsCZbOnH1crOziaoAJYiqADFcIU55apW299llIkrPKrK1QwAJWEyLQAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkGlGGfOnNGOHTt05swZf5cCAEC5XAqfZQSVYuzbt09jxozRvn37/F0KAADlcil8lhFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWCvJ3AZI0Z84cvfjii8rIyNCVV16pl19+WZ06dfJ3WQAAVGmnTp2SJI0ZM6Zc24eGhiohIUH9+vXT1VdfrcDAQF+WVyp+/0bl3Xff1cSJE5WUlKSNGzfqyiuvVO/evXXw4EF/lwYAQJU1bNgwPfLIIxfVR25urpKTk/X4449rwIABSklJ8U1xZeD3oDJz5kyNHj1aI0eOVOvWrfXaa68pIiJCb775pr9LAwCgSho2bJj+97//+bTPU6dOacqUKZUeVvwaVM6ePasNGzYoMTHRsywgIECJiYlKTU31Y2UAAFRN2dnZPg8p+c2ZM0d5eXkV1n9Bfp2jcvjwYeXl5Sk6OtpreXR0tLZv316ofW5urnJzcz2Pc3JyKrzGvXv3Vvg+YBee88sPzzkuJS+88EKF9p+ZmanNmzfrqquuqtD9uFkxmba0ZsyYoWnTplXqPp977rlK3R+AysfvOVA2R48erbR9+TWo1K5dW4GBgcrMzPRanpmZqZiYmELtJ02apIkTJ3oe5+TkqGHDhhVa4+TJk9W4ceMK3QfssnfvXj64LjP8nuNS8sILL2j37t0Vuo9atWpVaP/5+TWohISEqGPHjlqxYoUGDx4sSXK5XFqxYoUmTJhQqH1oaKhCQ0MrtcbGjRurRYsWlbpPAJWL33NcSmbOnKlBgwZVWP/R0dFq3759hfVfkN9P/UycOFHDhw/XNddco06dOmnWrFk6efKkRo4c6e/SAACocpxOp+rXr19hE2rHjx9fqfdT8XtQGTp0qA4dOqQpU6YoIyNDHTp00LJlywpNsAUAAKWzYMECn1+iHBERod/97nfq3r27z/osDb8HFUmaMGFCkad6AABA+SxYsEBpaWkXddM3G+5Ma0VQAQAAvhcRESFJev3116vsPCy/35kWAACgOAQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgUo1GjRnr99dfVqFEjf5cCAEC5XAqfZUH+LsBWYWFhatGihb/LAACg3C6FzzK+UQEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1grydwGArQLOZPu7hFILOJ3l9V+UTlV6joHLFUEFKMDpdCo4JFT6cbW/Symz8PQUf5dQ5QSHhMrpdPq7DADFIKgABURHR2v+228pO5v/274cOJ1ORUdH+7sMAMW4qKBy9uxZpaenq2nTpgoKIvPg0hEdHc2HFwBYoFyTaU+dOqVRo0YpIiJCbdq00b59+yRJDz30kJ5//nmfFggAAC5f5QoqkyZN0rfffqvk5GSFhYV5licmJurdd9/1WXEAAODyVq7zNR9++KHeffdd/frXv5bD4fAsb9OmjXbv3u2z4gAAwOWtXN+oHDp0SHXr1i20/OTJk17BBQAA4GKUK6hcc801+vTTTz2P3eHkjTfeUEJCgm8qAwAAl71ynfr5wx/+oL59+2rr1q06f/68Zs+era1bt2rt2rVavbrq3XsCAADYqVzfqHTt2lVpaWk6f/682rVrp+XLl6tu3bpKTU1Vx44dfV0jAAC4TDmMMcbfRZRXTk6OnE6nsrOzFRkZ6e9yAABAKZTl87tc36hs3LhR3333nefxkiVLNHjwYD311FM6e/ZseboEAAAopFxBZezYsdqxY4ck6ccff9TQoUMVERGhxYsX64knnvBpgQAA4PJVrqCyY8cOdejQQZK0ePFi9ejRQ//61780b948vf/++76sDwAAXMbKFVSMMXK5XJKkL774QjfffLMkqWHDhjp8+LDvqgMAAJe1ct9H5dlnn9Xbb7+t1atXq1+/fpKk9PR0/pAbAADwmXIFlVmzZmnjxo2aMGGCJk+erGbNmkmS3nvvPV133XU+LRAAAFy+fHp58pkzZxQYGKjg4GBfdVkiLk8GAKDqKcvnd7nuTFuc/H9JGQAA4GKVK6jk5eXppZde0qJFi7Rv375C9045evSoT4oDAACXt3LNUZk2bZpmzpypoUOHKjs7WxMnTtStt96qgIAATZ061cclAgCAy1W5gsqCBQv097//XY8++qiCgoJ055136o033tCUKVO0bt06X9cIAAAuU+UKKhkZGWrXrp0kqXr16srOzpYk9e/fX59++qnvqgMAAJe1cgWVBg0a6MCBA5Kkpk2bavny5ZKkb775RqGhob6rDgAAXNbKFVRuueUWrVixQpL00EMP6ZlnnlHz5s1177336r777vNpgQAA4PLlk/uopKamKjU1Vc2bN9eAAQN8UVepcB8VAACqnkq/j0pCQoISEhJ80RUAAIBHqYPKRx99VOpOBw4cWK5iAAAA8it1UBk8eHCp2jkcDuXl5ZW3HgAAAI9SBxWXy1WRdQAAABRSpqt+Vq5cqdatWysnJ6fQuuzsbLVp00b//e9/fVYcAAC4vJUpqMyaNUujR48ucoau0+nU2LFjNXPmTJ8VBwAALm9lCirffvut+vTpU+z6m266SRs2bLjoogAAAKQyBpXMzEwFBwcXuz4oKEiHDh266KIAAACkMgaV+vXra8uWLcWu37x5s2JjYy+6KAAAAKmMQeXmm2/WM888ozNnzhRad/r0aSUlJal///4+Kw4AAFzeynQL/czMTF199dUKDAzUhAkT1LJlS0nS9u3bNWfOHOXl5Wnjxo2Kjo6usILz4xb6qAiZmZmevwiOi+N0Oivt/QBA1VFht9CPjo7W2rVr9eCDD2rSpElyZxyHw6HevXtrzpw5vCmhSsvMzNTd99yrc2dz/V3KJSE4JFTz336L9wUA5Vbmv/XTuHFjLV26VMeOHdOuXbtkjFHz5s1Vs2bNiqgPqFTZ2dk6dzZXp+N7yBXm9FsdAaezFJ6eotNx3eUKj/JbHRcj4Ey29ONqZWdnE1QAlFu5/yhhzZo1de211/qyFsAarjCnXNVq+7sMucKjrKgDAPylTJNpAQAAKhNBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkHFAmfOnNGOHTt05swZf5cCAOXC+xgqCkHFAvv27dOYMWO0b98+f5cCAOXC+xgqCkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGCtIH8XAAC49OTl5Wnjxo1avny5Tp8+rXbt2mngwIHavn27jh49qlq1aql9+/YKDAwsto+zZ89qyZIl2r9/v+rVq6f+/ftr69at2rRpkzIyMiRJ0dHRuvrqq9WhQwdJUlpamtLS0iRJHTp0UIcOHQrtIy8vT5s3by51HSXJX2NMTIzi4+OVk5NT5n7dNR0+fFhZWVmKiopS7dq1L6q2gn0XPN6SxsGXY3Sx/BpUUlJS9OKLL2rDhg06cOCAPvjgAw0ePNifJQEALlJKSopeeOEFnTx50rPsyy+/1KuvvurVLiYmRuPGjVP37t0L9fHaa69p8eLFysvL8yybM2dOkftbsGCBIiIi5HA4vPb59ttvKyoqShMnTvTsIyUlRa+88oon6FyojpIUVWNpjy+/omq62NpK6jsmJkY9e/ZUcnJykeMgyWdj5At+PfVz8uRJXXnllcW++AAAVcvGjRs1ZcoUnTx5UjVq1NBvf/tbDRs2zKvNbbfdpjlz5ig+Pl5JSUlKSUnxWv/aa69p4cKFioyM1GOPPabHH3+80H7i4uIUFxfneXzq1CmdPHlSjRo10p///GfNnDlT7dq1U1ZWlqZMmaKUlBSlpKQoKSlJ8fHxmjNnjpYuXVpiHSXJX+PAgQPlcDjUtGlT1ahRQ5KUmJhYqn7dNTmdTjkcDnXu3FmPPfaYOnfuLElyOp1lrq1g3wWP1+l0auHChXI6nYXGYcqUKT4bI19xGGNMpe+1CA6Ho8zfqOTk5MjpdCo7O1uRkZEVV1wF27Fjh8aMGaPXX39dLVq08Hc5lzX3c3Gy9UC5qtX2Wx0BJw+r2taP/F7HxXAfA6/ry4P7d+dXv/qVjhw5oqioKL333ntyOBwaNmyY4uLiZIzR119/LUlatmyZgoKC9PTTTys9PV3z589XYGCgzp49q759+yoyMlKLFy+Ww+HQXXfdpaysLBljdPbsWc/2ISEheuqpp7Ru3TpPHTExMVqwYIECAwPlcrk0efJkbdy4UTVr1pQxRk2bNtWzzz6rgID////pLperUB0lyV/jwoULNXz4cMXHx+vZZ5+Vy+XSkCFDlJOTo08//VTTp08vtt+8vDzP2KSnp3v6CAgI8NT0448/Ki4uTnv27ClVbQX7zt9n/uW5ubkKDQ31jJUknTt3Tv3795ckffLJJwoODi73GF1IWT6/q9QcldzcXOXm5noe5+Tk+LEa39u7d6+/S7js8Rz4HmN6eXA/z0eOHJEk3X///QoKCvLMJ3nmmWckyRMqlixZoiFDhmjYsGEaP368Nm/erKuuukpLlixRXl6eRo0a5dk+MzOz0P4+/vhjDRkyRJ07d/YKKhkZGZ6+AgICdPfddys1NdVzGmPKlCleIUWSAgICCtVRkvw1bt261XN8AQEBCggI0H333ac///nP+vjjj0vsd/PmzcrIyNDQoUOVmprq6aNgTe71pamtYN/5+8y//LHHHtOf/vQnrz63bNni+YzdsmWL177KOka+VKWCyowZMzRt2jR/l1FhnnvuOX+XAPgcr+vLU0JCgiTp6NGjkuR1mkaS9u/f77Xc3c69vOD2BbnbhYaGFlqXf5uC+y34uODy4vZX1L4TEhI8E3fz9+uuff/+/erXr1+x/bqXuY+huFrd60tTW8G+C/bpXl7U+Bb374L1lKUOX6hSQWXSpEmaOHGi53FOTo4aNmzox4p8a/LkyWrcuLG/y7is7d27lw9WH+N1fXko+LuTmpqq/v37q1atWpKk9PR0r/b16tXzWu5u515ecPuC3O3yf8vuln+bgvtNT09XmzZtCm1TsI6S5K+xfv36hfpNTU31tCupX/cy9zEUrM29rXt9aWor2HfBPt3L3TXm77O4fxespyx1+EKVCiqhoaFFpudLRePGjTmXj0sOr+vLi3uOyhtvvKE+ffqoffv2iomJ0fz582WM8ZyGGDRokFwulxYsWKDY2Fi1b9/es/y1117TP/7xD8/20dHRheaoDBgwQC6XS1999ZXX/mNiYjx9uVwuzZ8/X6GhoZ45KgsWLChyjkrBOkqSv8aFCxd65sW456i8+eabCgwM1IABAzR9+vRi+3WPzddff+3Vh3uOyoIFCzzrS1tbwb4LHq97+T/+8Q+vsZKktm3bej5j27Zt69VfWcfIl7jhGwDAZ4YMGSJJysrK0i233KIPP/xQN9xwg1JTU7Vu3Tq5XC7dcsst2rlzp55++mmlpqbqwQcf9EzODAkJ0ZAhQ3Ts2DENGTJES5cu1T333KPc3FxPSJGkBx54QPfdd5/X/BT39mlpadqwYYMefvhhpaamKjc3V+PGjdP48eOVmpqqp59+Wt9//71OnTql77//vsg6SpK/xjvuuEOdOnVSamqq7r//ft1yyy06duyYrr/+ek2fPr3EfgMDAzVu3DitW7dOTqdTqampmjRpkj7++GNNmjRJa9euldPp1Lp160pdW8G+Cx7v9u3b5XQ6dezYMTmdTm3fvt0zDklJSZ5xTkpKuqgx8iW/XvVz4sQJ7dq1S5J01VVXaebMmbr++utVq1YtNWrU6ILbc9UPfI2rfnyHq34uL/nfxzIyMgrdR6UosbGxevDBB0t9H5WSVKtWTZIK7bM091EpqY6SXKjG0vZb0n1UyltbSX3HxsaqR48ehe6j4t6XVPg+KhdbR0FV5qqf9evX6/rrr/c8ds8/GT58uObNm+enqgAAF6N79+7q0qXLRd2Z1v2Nia/vTOuuzRd3XS1YY3nvTJu/Jl/fmbak4x09enSx4+CrMfIFvwaVnj17ypLbuAAAfCgwMFDXXnutrr32Wq/lZbms1X2KJb+OHTuqY8eOxW5zofXu2nx1eW1RNZaHL2sqbd8l7bMi6ykr5qgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFULFAo0aN9Prrr6tRo0b+LgUAyoX3MVSUIH8XACksLEwtWrTwdxkAUG68j6Gi8I0KAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALBWkL8LAGwUcCbbv/s/neX136rI32MI4NJAUAHycTqdCg4JlX5c7e9SJEnh6Sn+LuGiBIeEyul0+rsMAFUYQQXIJzo6WvPffkvZ2Xwb4AtOp1PR0dH+LgNAFUZQAQqIjo7mwxUALMFkWgAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1gvxdwMUwxkiScnJy/FwJAAAoLffntvtzvCRVOqgcP35cktSwYUM/VwIAAMrq+PHjcjqdJbZxmNLEGUu5XC7t379fNWrUkMPh8Hc51srJyVHDhg31008/KTIy0t/lXPIY78rFeFcuxrtyXarjbYzR8ePHVa9ePQUElDwLpUp/oxIQEKAGDRr4u4wqIzIy8pJ6oduO8a5cjHflYrwr16U43hf6JsWNybQAAMBaBBUAAGAtgsplIDQ0VElJSQoNDfV3KZcFxrtyMd6Vi/GuXIx3FZ9MCwAALm18owIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKhaaOnWqHA6H10+rVq0868+cOaPx48frV7/6lapXr67bbrtNmZmZXn3s27dP/fr1U0REhOrWravHH39c58+f92qTnJysq6++WqGhoWrWrJnmzZtXqJY5c+aoSZMmCgsLU+fOnfX1119XyDFXppSUFA0YMED16tWTw+HQhx9+6LXeGKMpU6YoNjZW4eHhSkxM1M6dO73aHD16VMOGDVNkZKSioqI0atQonThxwqvN5s2b1a1bN4WFhalhw4b64x//WKiWxYsXq1WrVgoLC1O7du20dOnSMtdiuwuN94gRIwq93vv06ePVhvEunRkzZujaa69VjRo1VLduXQ0ePFg//PCDVxub3j9KU4vNSjPePXv2LPT6fuCBB7zaMN4XYGCdpKQk06ZNG3PgwAHPz6FDhzzrH3jgAdOwYUOzYsUKs379evPrX//aXHfddZ7158+fN23btjWJiYlm06ZNZunSpaZ27dpm0qRJnjY//vijiYiIMBMnTjRbt241L7/8sgkMDDTLli3ztFm4cKEJCQkxb775pvn+++/N6NGjTVRUlMnMzKycgaggS5cuNZMnTzb//ve/jSTzwQcfeK1//vnnjdPpNB9++KH59ttvzcCBA01cXJw5ffq0p02fPn3MlVdeadatW2f++9//mmbNmpk777zTsz47O9tER0ebYcOGmS1btph33nnHhIeHm7/97W+eNmvWrDGBgYHmj3/8o9m6dat5+umnTXBwsPnuu+/KVIvtLjTew4cPN3369PF6vR89etSrDeNdOr179zZz5841W7ZsMWlpaebmm282jRo1MidOnPC0sen940K12K40492jRw8zevRor9d3dna2Zz3jfWEEFQslJSWZK6+8ssh1WVlZJjg42CxevNizbNu2bUaSSU1NNcb88sEQEBBgMjIyPG1effVVExkZaXJzc40xxjzxxBOmTZs2Xn0PHTrU9O7d2/O4U6dOZvz48Z7HeXl5pl69embGjBkXfYy2KPjB6XK5TExMjHnxxRc9y7KyskxoaKh55513jDHGbN261Ugy33zzjafNZ599ZhwOh/nf//5njDHmlVdeMTVr1vSMtzHGPPnkk6Zly5aex7fffrvp16+fVz2dO3c2Y8eOLXUtVU1xQWXQoEHFbsN4l9/BgweNJLN69WpjjF3vH6WppaopON7G/BJUHn744WK3YbwvjFM/ltq5c6fq1aun+Ph4DRs2TPv27ZMkbdiwQefOnVNiYqKnbatWrdSoUSOlpqZKklJTU9WuXTtFR0d72vTu3Vs5OTn6/vvvPW3y9+Fu4+7j7Nmz2rBhg1ebgIAAJSYmetpcitLT05WRkeF13E6nU507d/Ya36ioKF1zzTWeNomJiQoICNBXX33ladO9e3eFhIR42vTu3Vs//PCDjh075mlT0nNQmlouFcnJyapbt65atmypBx98UEeOHPGsY7zLLzs7W5JUq1YtSXa9f5Smlqqm4Hi7LViwQLVr11bbtm01adIknTp1yrOO8b6wKv1HCS9VnTt31rx589SyZUsdOHBA06ZNU7du3bRlyxZlZGQoJCREUVFRXttER0crIyNDkpSRkeH1onevd68rqU1OTo5Onz6tY8eOKS8vr8g227dv9+XhWsU9PkUdd/6xq1u3rtf6oKAg1apVy6tNXFxcoT7c62rWrFnsc5C/jwvVcino06ePbr31VsXFxWn37t166qmn1LdvX6WmpiowMJDxLieXy6VHHnlEXbp0Udu2bSXJqveP0tRSlRQ13pJ01113qXHjxqpXr542b96sJ598Uj/88IP+/e9/S2K8S4OgYqG+fft6/t2+fXt17txZjRs31qJFixQeHu7HygDfu+OOOzz/bteundq3b6+mTZsqOTlZvXr18mNlVdv48eO1ZcsWffnll/4u5bJQ3HiPGTPG8+927dopNjZWvXr10u7du9W0adPKLrNK4tRPFRAVFaUWLVpo165diomJ0dmzZ5WVleXVJjMzUzExMZKkmJiYQjO53Y8v1CYyMlLh4eGqXbu2AgMDi2zj7uNS5D62ko47JiZGBw8e9Fp//vx5HT161CfPQf71F6rlUhQfH6/atWtr165dkhjv8pgwYYI++eQTrVq1Sg0aNPAst+n9ozS1VBXFjXdROnfuLEler2/Gu2QElSrgxIkT2r17t2JjY9WxY0cFBwdrxYoVnvU//PCD9u3bp4SEBElSQkKCvvvuO683988//1yRkZFq3bq1p03+Ptxt3H2EhISoY8eOXm1cLpdWrFjhaXMpiouLU0xMjNdx5+Tk6KuvvvIa36ysLG3YsMHTZuXKlXK5XJ43oYSEBKWkpOjcuXOeNp9//rlatmypmjVretqU9ByUppZL0c8//6wjR44oNjZWEuNdFsYYTZgwQR988IFWrlxZ6HSYTe8fpanFdhca76KkpaVJktfrm/G+AH/P5kVhjz76qElOTjbp6elmzZo1JjEx0dSuXdscPHjQGPPLJWaNGjUyK1euNOvXrzcJCQkmISHBs737crebbrrJpKWlmWXLlpk6deoUebnb448/brZt22bmzJlT5OVuoaGhZt68eWbr1q1mzJgxJioqymt2elV0/Phxs2nTJrNp0yYjycycOdNs2rTJ7N271xjzyyWqUVFRZsmSJWbz5s1m0KBBRV6efNVVV5mvvvrKfPnll6Z58+Zel8tmZWWZ6Ohoc88995gtW7aYhQsXmoiIiEKXywYFBZk//elPZtu2bSYpKanIy2UvVIvtShrv48ePm8cee8ykpqaa9PR088UXX5irr77aNG/e3Jw5c8bTB+NdOg8++KBxOp0mOTnZ63LYU6dOedrY9P5xoVpsd6Hx3rVrl5k+fbpZv369SU9PN0uWLDHx8fGme/funj4Y7wsjqFho6NChJjY21oSEhJj69euboUOHml27dnnWnz592owbN87UrFnTREREmFtuucUcOHDAq489e/aYvn37mvDwcFO7dm3z6KOPmnPnznm1WbVqlenQoYMJCQkx8fHxZu7cuYVqefnll02jRo1MSEiI6dSpk1m3bl2FHHNlWrVqlZFU6Gf48OHGmF8uU33mmWdMdHS0CQ0NNb169TI//PCDVx9Hjhwxd955p6levbqJjIw0I0eONMePH/dq8+2335quXbua0NBQU79+ffP8888XqmXRokWmRYsWJiQkxLRp08Z8+umnXutLU4vtShrvU6dOmZtuusnUqVPHBAcHm8aNG5vRo0cXCsOMd+kUNc6SvH63bXr/KE0tNrvQeO/bt890797d1KpVy4SGhppmzZqZxx9/3Os+KsYw3hfiMMaYyvv+BgAAoPSYowIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAsDnMjIy9NBDDyk+Pl6hoaFq2LChBgwYUOjvlVyMnj176pFHHvFZfwDsFOTvAgBcWvbs2aMuXbooKipKL774otq1a6dz587pP//5j8aPH6/t27f7u0QAVQjfqADwqXHjxsnhcOjrr7/WbbfdphYtWqhNmzaaOHGi1q1bpz179sjhcHj+iqwkZWVlyeFwKDk52bNs9erV6tSpk0JDQxUbG6vf/e53On/+vCRpxIgRWr16tWbPni2HwyGHw6E9e/YoLy9Po0aNUlxcnMLDw9WyZUvNnj27kkcAgC/xjQoAnzl69KiWLVum5557TtWqVSu0PioqSllZWRfs53//+59uvvlmjRgxQm+99Za2b9+u0aNHKywsTFOnTtXs2bO1Y8cOtW3bVtOnT5ck1alTRy6XSw0aNNDixYv1q1/9SmvXrtWYMWMUGxur22+/3deHC6ASEFQA+MyuXbtkjFGrVq0uqp9XXnlFDRs21F//+lc5HA61atVK+/fv15NPPqkpU6bI6XQqJCREERERiomJ8WwXGBioadOmeR7HxcUpNTVVixYtIqgAVRSnfgD4jK/+GPu2bduUkJAgh8PhWdalSxedOHFCP//8c4nbzpkzRx07dlSdOnVUvXp1vf7669q3b59P6gJQ+QgqAHymefPmcjgcJU6YDQj45W0nf6g5d+6cT/a/cOFCPfbYYxo1apSWL1+utLQ0jRw5UmfPnvVJ/wAqH0EFgM/UqlVLvXv31pw5c3Ty5MlC67OyslSnTh1J0oEDBzzL80+slaQrrrhCqampXmFmzZo1qlGjhho0aCBJCgkJUV5entd2a9as0XXXXadx48bpqquuUrNmzbR7925fHR4APyCoAPCpOXPmKC8vT506ddL777+vnTt3atu2bfrLX/6ihIQEhYeH69e//rWef/55bdu2TatXr9bTTz/t1ce4ceP0008/6aGHHtL27du1ZMkSJSUlaeLEiZ5vZJo0aaKvvvpKe/bs0eHDh+VyudS8eXOtX79e//nPf7Rjxw4988wz+uabb/wxDAB8hKACwKfi4+O1ceNGXX/99Xr00UfVtm1b3XjjjVqxYoVeffVVSdKbb76p8+fPq2PHjnrkkUf07LPPevVRv359LV26VF9//bWuvPJKPfDAAxo1apRXoHnssccUGBio1q1bq06dOtq3b5/Gjh2rW2+9VUOHDlXnzp115MgRjRs3rlKPH4BvOYyvZr8BAAD4GN+oAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGCt/wetjHqKimAduwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data =  remove_outliers_iqr(df, 'cuota'), \n",
    "    x = 'cuota', \n",
    "    y = 'clase', orient = 'h'\n",
    ")\n",
    "plt.title('Distribución de la Cuota')\n",
    "plt.xlabel('Cuota')\n",
    "plt.ylabel('Clase')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No se observa una diferencia evidente entre la cuota de clientes buena y mala paga"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 10. Garantía"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'garantia', 0, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No se evidencia relación entre las dos variables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 11. Días de Mora"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data =  df, \n",
    "    x = 'diasmora', \n",
    "    y = 'clase', orient = 'h'\n",
    ")\n",
    "plt.title('Distribución de la Mora')\n",
    "plt.xlabel('diasmora')\n",
    "plt.ylabel('Clase')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     452.000000\n",
       "mean      409.778761\n",
       "std       339.501872\n",
       "min        91.000000\n",
       "25%       149.500000\n",
       "50%       295.500000\n",
       "75%       537.000000\n",
       "max      1784.000000\n",
       "Name: diasmora, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['clase'] == 1]['diasmora'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Esta variable está estrechamente relacionada con la variable objetivo, pero en mi opinión no debería considerarse como una variable explicativa, ya que la idea es identificar a los clientes mala paga antes de que empiecen a tener mora en sus pagos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 12. Forma de pago"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'forma_de_pago', 0, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aunque hay pocos clientes que tienen la forma de pago número 2, podemos observar que hay una mayor proporción de malos clientes en la forma de pago número dos. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 13. Reestructurado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'reestructurado', 0, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observamos que todos los clientes con restructurado = 1 son buenos clientes, sin embargo, la muestra no es representativa."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 14. Edad"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Edad como variable contínua"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACs5evpAgBJSk1NVVpamqfLQAkJCwtTeHi4p8sAUAYRVOBxqamp+stfe+nK5SxPl4IS4ucfoIUL3iOsACgyggo8Li0tTVcuZymjTjs5AsM8XU6J8M44p6Ck7cqo3VaOoEqeLqdUeWemST9vU1paGkEFQJERVGANR2CYHBWqerqMEuUIqnTdbyMAuBMn0wIAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFU8pGZmamDBw8qMzPT06UAADyE9wLPI6jk4+jRoxowYICOHj3q6VIAAB7Ce4HnEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANby9XQBkjRjxgy98sorSklJ0S233KI33nhDf/zjHz1dFgAAecrIyNDs2bN1/PhxRUdHa+DAgQoKCpIkZWdna+/evTp79qyqVKmiuLg4+fj4/G5bcZXEmCU5blF5PKgsXbpUI0aM0KxZs9SyZUtNmzZNHTt21IEDB1StWjVPlwcAgIuxY8dqx44dzuc7d+7U6tWr1bp1a3Xs2FFvvfWWUlJSnO0REREaPHiwJOXb1rZt22LVsn37drePWZLjFofHP/qZOnWq+vfvr759+6px48aaNWuWgoOD9fe//93TpQEA4CInpPj5+emxxx7TwoUL9dhjj8nPz087duzQ+PHjVadOHc2YMUPr16/XjBkzVKdOHSUkJBTYtn379iLXsn37diUkJLh1zJIct7g8GlQuX76sXbt2qUOHDs5l3t7e6tChgxITEz1YGQAArjIyMpwhZd26dRowYICio6M1YMAArV271tlv7Nixio2NVXBwsGJjYzVx4kT5+/srICBAEydOdGmbNGmS4uPjNXPmTGVnZxe6luzsbL311luKj4/XpEmT3DJmSY57LTz60c+ZM2eUnZ2t8PBwl+Xh4eH66aefcvXPyspSVlaW83l6enqJ15icnFzi6yjvmOPyge8zyqKr99vZs2dLkrp37y5/f3+Xfle/Z82dO1fDhw93Pt+3b5/zvWvfvn1q1qyZs83b21s9e/bUkCFDtHfvXpe2guzdu1cpKSkaN26cvL1djzkUd8ySHPdaePwclaKYMmWKJk6cWKrrnDx5cqmuD7he8bOEsu748eOSpPvuuy9X29mzZ3P1y6vt6q9z1K5dO9+2/OT0zXmtO8YsyXGvhUeDStWqVeXj46PU1FSX5ampqYqIiMjVf/To0RoxYoTzeXp6umrUqFGiNY4dO1YxMTEluo7yLjk5mTexcoCfJZRFV/9+io6O1s6dO7V+/XoNGDDApV+VKlWcX0dHR+fbdvXXOZKSkvJty09O36SkJMXGxrplzJIc91p4NKj4+/urefPm2rRpk7p16yZJcjgc2rRpk4YOHZqrf0BAgAICAkq1xpiYGDVo0KBU1wlcj/hZQlk3cOBArV69WsuXL1efPn1cPv5p1KiR8+v+/fu7vK5JkybO964mTZq4tDkcDi1atEiRkZGKi4srdC1xcXGKiIjQokWLNGnSJJePaYo7ZkmOey08ftXPiBEjNHfuXL377rv68ccfNWjQIF28eFF9+/b1dGkAADgFBQWpdevWunLlijp37qzZs2fr2LFjmj17trp27ersN3nyZO3fv1+XLl3S/v37lZCQoMuXLysrK0sJCQkubc8//7wSExM1aNCgIt2jxMfHR4MHD1ZiYqKef/55t4xZkuNeC4+fo9KjRw+dPn1a48ePV0pKipo2baqPP/441wm2AAB42uTJk52XKC9evFiLFy92tl19H5UhQ4Y4l0dGRjrPr8yvrTj3Jmnbtq0mTpzo1jFLctzi8nhQkaShQ4fm+VEPAAC2mTx5coF3pm3dunW+d3QtqK042rZt6/YxS3Lc4rAiqAAAUJYEBQW5XIJ8NR8fn3wv3S2orbhKYsySHLeoPH6OCgAAQH4IKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQyUfNmjU1Z84c1axZ09OlAAA8hPcCz/P1dAG2CgwMVIMGDTxdBgDAg3gv8DyOqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAa/l6ugAgh3dmmqdLKDHeGedc/i1PrufvK4CSR1CBx4WFhcnPP0D6eZunSylxQUnbPV2CR/j5BygsLMzTZQAogwgq8Ljw8HAtXPCe0tL4n/f1KiwsTOHh4Z4uA0AZdE1B5fLly0pKSlLdunXl60vmQfGFh4fzRgYAyKVYJ9NeunRJjz/+uIKDgxUbG6ujR49Kkp566im9/PLLbi0QAACUX8UKKqNHj9Z3332nrVu3KjAw0Lm8Q4cOWrp0qduKAwAA5VuxPq9ZvXq1li5dqttuu01eXl7O5bGxsTpy5IjbigMAAOVbsY6onD59WtWqVcu1/OLFiy7BBQAA4FoUK6i0aNFC69atcz7PCSdvv/224uPj3VMZAAAo94r10c9LL72kTp066YcfftCvv/6q6dOn64cfftAXX3yhbduu/3thAACA0lGsIypt2rTRnj179Ouvv+rmm2/Whg0bVK1aNSUmJqp58+burhEAAJRTXsYY4+kiiis9PV1hYWFKS0tTaGiop8sBAACFUJT372IdUdm9e7e+//575/M1a9aoW7duGjNmjC5fvlycIQEAAHIpVlAZOHCgDh48KEn6+eef1aNHDwUHB2v58uUaOXKkWwsEAADlV7GCysGDB9W0aVNJ0vLly9WuXTu9//77mj9/vlauXOnO+gAAQDlWrKBijJHD4ZAkffrpp7rvvvskSTVq1NCZM2fcVx0AACjXin0flUmTJmnBggXatm2bOnfuLElKSkriD8sBAAC3KVZQmTZtmnbv3q2hQ4dq7NixqlevniRpxYoVatWqlVsLBAAA5ZdbL0/OzMyUj4+P/Pz83DVkgbg8GQCAsqco79/FujNtfq7+S8oAAADXqlhBJTs7W6+99pqWLVumo0eP5rp3ytmzZ91SHAAAKN+KdY7KxIkTNXXqVPXo0UNpaWkaMWKEHnroIXl7e2vChAluLhEAAJRXxQoqixYt0ty5c/W3v/1Nvr6++vOf/6y3335b48eP15dffunuGgEAQDlVrKCSkpKim2++WZIUEhKitLQ0SVKXLl20bt0691UHAADKtWIFlejoaJ08eVKSVLduXW3YsEGS9M033yggIMB91QEAgHKtWEHlwQcf1KZNmyRJTz31lMaNG6f69eurV69e6tevn1sLBAAA5Zdb7qOSmJioxMRE1a9fX/fff7876ioU7qMCAEDZU+r3UYmPj1d8fLw7hgIAAHAqdFBZu3ZtoQft2rVrsYoBAAC4WqGDSrdu3QrVz8vLS9nZ2cWtBwAAwKnQQcXhcJRkHQAAALkU6aqfzZs3q3HjxkpPT8/VlpaWptjYWH322WduKw4AAJRvRQoq06ZNU//+/fM8QzcsLEwDBw7U1KlT3VYcAAAo34oUVL777jvde++9+bbfc8892rVr1zUXBQAAIBUxqKSmpsrPzy/fdl9fX50+ffqaiwIAAJCKGFSqV6+uffv25du+d+9eRUZGXnNRAAAAUhGDyn333adx48YpMzMzV1tGRoYSEhLUpUsXtxUHAADKtyLdQj81NVV/+MMf5OPjo6FDh6phw4aSpJ9++kkzZsxQdna2du/erfDw8BIr+GrcQt8+qampzr+mDc8KCwsrtZ9FACiKEruFfnh4uL744gsNGjRIo0ePVk7G8fLyUseOHTVjxgx+MZZjqamp+stfe+nK5SxPlwJJfv4BWrjgPX4mAZRpRf5bPzExMVq/fr3+/e9/6/DhwzLGqH79+qpcuXJJ1IcyJC0tTVcuZymjTjs5AsM8XU6xeWecU1DSdmXUbitHUCVPl1Ms3plp0s/blJaWRlABUKYV+48SVq5cWbfeeqs7a8F1whEYJkeFqp4u45o5gipdF9sBAGVZkU6mBQAAKE0EFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVN8vMzNTBgweVmZnp6VIAwC34vQZPIqi42dGjRzVgwAAdPXrU06UAgFvwew2eRFABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFjL19MFAADKpuzsbO3du1dnz55VlSpVFBcXJx8fn99tK8jly5e1Zs0anThxQlFRUXrggQfk7+8vScrIyNDs2bN1/PhxRUdHa+DAgQoKCrqm9RV3+1B6PBpUtm/frldeeUW7du3SyZMntWrVKnXr1s2TJQEACmH79u166623lJKS4lwWERGhwYMHS1K+bW3bts13zFmzZmn58uXKzs52Wda9e3cdO3ZMO3bscC7fuXOnVq9erdatW6tjx47FWl9xt6+4Y6J4PPrRz8WLF3XLLbdoxowZniwDAFAE27dvV0JCgurUqaMZM2Zo/fr1mjFjhurUqaOEhASNHz8+37bt27fnOeasWbO0ZMkShYaG6tlnn9XKlSv17LPPKjQ0VEuWLNGOHTvk5+enxx57TAsXLtRjjz0mPz8/7dixo1jru5btK86YKD4vY4zxdBGS5OXlVeQjKunp6QoLC1NaWppCQ0NLrrgiOHjwoAYMGKA5c+aoQYMGni6nVOVs+8XGXeWoUNXT5RSb98UzqvDD2jK9HTnbUB73Q7jf1b/X6tatq549e6pOnTqaNGmSvL3///+7V65cUZcuXSRJH374ofz8/JxtDodDzz//vJKSkrRw4UKXj1AuX76sTp06KTQ0VMuXL5ev7/8f7D9//rzuv/9+55ghISHOtoyMDHXq1EmStG7dOlWoUKFQ6ytIdnZ2vttX3DGRW1Hev8vUOSpZWVnKyspyPk9PT/dgNQVLTk72dAmlrjxus+34nsAdrt6P9u7dq5SUFI0bN87lTVyS9u3b5/wdvW/fPjVr1szZ5u3trZ49e2rIkCHau3evS9uaNWuUnZ2txx9/3CWkSNI777zj/Pqjjz5S9+7dnc9/+ukn59dz587V8OHDC7W+ghS0fcUdE9emTAWVKVOmaOLEiZ4uo1AmT57s6RIA9kO43dmzZyVJtWvXzrftt1/nyHnNb9tOnDghSYqPj8/1muPHj+fql9c6ru73e+srSEHbV9wxcW3KVFAZPXq0RowY4Xyenp6uGjVqeLCi/I0dO1YxMTGeLqNUJScn88ZomfK4H8L9rv7ZrlKliiQpKSlJsbGxLv1y2n77dY6kpKQ826KioiRJiYmJzo+OckRHR2vnzp0u/fJaR3R0dKHXV5CCtq+4Y+LalKmgEhAQoICAAE+XUSgxMTGcGwCPYz+Eu8XFxSkiIkKLFi3KdQ5HkyZNnL+jmzRp4vI6h8OhRYsWKTIyUnFxcS5tDzzwgGbNmqV33nlH9957r8vHP48//rhWr14tSc7zUXI0atTI+XX//v0Lvb7ibl9xx8S14YZvAIBC8/Hx0eDBg5WYmKjnn39e+/fv16VLl7R//34lJCTo8uXLysrKUkJCgkvb888/r8TERA0aNCjXSaj+/v7q3r27/v3vf6t79+764IMPdObMGX3wwQfq1auXs9+DDz6o2bNn69ixY5o9e7a6du3qbJs8eXKh11fc7SvumLg2Hj2icuHCBR0+fNj5PCkpSXv27FGVKlVUs2ZND1YGAMhP27ZtNXHiRL311lsaMmSIc3lkZKTzPML82vK7B8mTTz4pSVq+fLleffVV53IfHx89+uijzvuoLF68WIsXL3a2X30flaKs71q2j/uolC6PBpWdO3fqzjvvdD7POf+kd+/emj9/voeqAgD8nrZt26p169b53rm1oLb8PPnkk+rXr1+x7kxbnPVdy/ah9Hg0qNxxxx2y5DYuAIAi8vHxyfcS3YLaCpLzMVBegoKCXC5Bdsf6ClISY6LoOEcFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtgoqb1axZU3PmzFHNmjU9XQoAuAW/1+BJvp4u4HoTGBioBg0aeLoMAHAbfq/BkziiAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACs5evpAnD98c5M83QJ18Q745zLv2VRWf8eAEAOggrcJiwsTH7+AdLP2zxdilsEJW33dAnXxM8/QGFhYZ4uAwCuCUEFbhMeHq6FC95TWhr/m7dBWFiYwsPDPV0GAFwTggrcKjw8nDdHAIDbcDItAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFq+ni7gWhhjJEnp6ekergQAABRWzvt2zvt4Qcp0UDl//rwkqUaNGh6uBAAAFNX58+cVFhZWYB8vU5g4YymHw6ETJ06oYsWK8vLyKrX1pqenq0aNGjp27JhCQ0NLbb22Y17yx9zkjXnJH3OTN+Ylb2VtXowxOn/+vKKiouTtXfBZKGX6iIq3t7eio6M9tv7Q0NAysUOUNuYlf8xN3piX/DE3eWNe8laW5uX3jqTk4GRaAABgLYIKAACwFkGlGAICApSQkKCAgABPl2IV5iV/zE3emJf8MTd5Y17ydj3PS5k+mRYAAFzfOKICAACsRVABAADWIqgAAABrEVQAAIC1CCr5mDJlim699VZVrFhR1apVU7du3XTgwAGXPpmZmRoyZIhuuOEGhYSE6OGHH1ZqaqqHKi49M2fOVFxcnPPGQvHx8froo4+c7eV1Xn7r5ZdflpeXl4YPH+5cVh7nZsKECfLy8nJ5NGrUyNleHufkar/88ov+8pe/6IYbblBQUJBuvvlm7dy509lujNH48eMVGRmpoKAgdejQQYcOHfJgxSWvVq1aufYZLy8vDRkyRFL53meys7M1btw41a5dW0FBQapbt65efPFFl7+Zc93tMwZ56tixo5k3b57Zt2+f2bNnj7nvvvtMzZo1zYULF5x9nnzySVOjRg2zadMms3PnTnPbbbeZVq1aebDq0rF27Vqzbt06c/DgQXPgwAEzZswY4+fnZ/bt22eMKb/zcrWvv/7a1KpVy8TFxZlhw4Y5l5fHuUlISDCxsbHm5MmTzsfp06ed7eVxTnKcPXvWxMTEmD59+pivvvrK/Pzzz+aTTz4xhw8fdvZ5+eWXTVhYmFm9erX57rvvTNeuXU3t2rVNRkaGBysvWadOnXLZXzZu3GgkmS1bthhjyvc+M3nyZHPDDTeYDz/80CQlJZnly5ebkJAQM336dGef622fIagU0qlTp4wks23bNmOMMefOnTN+fn5m+fLlzj4//vijkWQSExM9VabHVK5c2bz99tvMizHm/Pnzpn79+mbjxo2mXbt2zqBSXucmISHB3HLLLXm2ldc5yfHcc8+ZNm3a5NvucDhMRESEeeWVV5zLzp07ZwICAszixYtLo0QrDBs2zNStW9c4HI5yv8907tzZ9OvXz2XZQw89ZHr27GmMuT73GT76KaS0tDRJUpUqVSRJu3bt0pUrV9ShQwdnn0aNGqlmzZpKTEz0SI2ekJ2drSVLlujixYuKj49nXiQNGTJEnTt3dpkDqXzvM4cOHVJUVJTq1Kmjnj176ujRo5LK95xI0tq1a9WiRQt1795d1apVU7NmzTR37lxne1JSklJSUlzmJywsTC1btiwX8yNJly9f1sKFC9WvXz95eXmV+32mVatW2rRpkw4ePChJ+u677/T555+rU6dOkq7PfaZM/1HC0uJwODR8+HC1bt1aTZo0kSSlpKTI399flSpVcukbHh6ulJQUD1RZur7//nvFx8crMzNTISEhWrVqlRo3bqw9e/aU63lZsmSJdu/erW+++SZXW3ndZ1q2bKn58+erYcOGOnnypCZOnKjbb79d+/btK7dzkuPnn3/WzJkzNWLECI0ZM0bffPONnn76afn7+6t3797OOQgPD3d5XXmZH0lavXq1zp07pz59+kgqvz9HOUaNGqX09HQ1atRIPj4+ys7O1uTJk9WzZ09Jui73GYJKIQwZMkT79u3T559/7ulSrNGwYUPt2bNHaWlpWrFihXr37q1t27Z5uiyPOnbsmIYNG6aNGzcqMDDQ0+VYI+d/epIUFxenli1bKiYmRsuWLVNQUJAHK/M8h8OhFi1a6KWXXpIkNWvWTPv27dOsWbPUu3dvD1dnh3feeUedOnVSVFSUp0uxwrJly7Ro0SK9//77io2N1Z49ezR8+HBFRUVdt/sMH/38jqFDh+rDDz/Uli1bFB0d7VweERGhy5cv69y5cy79U1NTFRERUcpVlj5/f3/Vq1dPzZs315QpU3TLLbdo+vTp5Xpedu3apVOnTukPf/iDfH195evrq23btun111+Xr6+vwsPDy+3cXK1SpUpq0KCBDh8+XK73F0mKjIxU48aNXZbddNNNzo/Gcubgt1e0lJf5SU5O1qeffqonnnjCuay87zP/9V//pVGjRunRRx/VzTffrL/+9a965plnNGXKFEnX5z5DUMmHMUZDhw7VqlWrtHnzZtWuXdulvXnz5vLz89OmTZucyw4cOKCjR48qPj6+tMv1OIfDoaysrHI9L+3bt9f333+vPXv2OB8tWrRQz549nV+X17m52oULF3TkyBFFRkaW6/1Fklq3bp3rtgcHDx5UTEyMJKl27dqKiIhwmZ/09HR99dVX5WJ+5s2bp2rVqqlz587OZeV9n7l06ZK8vV3fun18fORwOCRdp/uMp8/mtdWgQYNMWFiY2bp1q8tlcpcuXXL2efLJJ03NmjXN5s2bzc6dO018fLyJj4/3YNWlY9SoUWbbtm0mKSnJ7N2714waNcp4eXmZDRs2GGPK77zk5eqrfowpn3Pzt7/9zWzdutUkJSWZHTt2mA4dOpiqVauaU6dOGWPK55zk+Prrr42vr6+ZPHmyOXTokFm0aJEJDg42CxcudPZ5+eWXTaVKlcyaNWvM3r17zQMPPFCmLzUtrOzsbFOzZk3z3HPP5Worz/tM7969TfXq1Z2XJ//jH/8wVatWNSNHjnT2ud72GYJKPiTl+Zg3b56zT0ZGhhk8eLCpXLmyCQ4ONg8++KA5efKk54ouJf369TMxMTHG39/f3HjjjaZ9+/bOkGJM+Z2XvPw2qJTHuenRo4eJjIw0/v7+pnr16qZHjx4u9wkpj3NytQ8++MA0adLEBAQEmEaNGpk5c+a4tDscDjNu3DgTHh5uAgICTPv27c2BAwc8VG3p+eSTT4ykPLe1PO8z6enpZtiwYaZmzZomMDDQ1KlTx4wdO9ZkZWU5+1xv+4yXMVfdzg4AAMAinKMCAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQWAVby8vLR69eprGmPChAlq2rSpW+oB4FkEFQAlpk+fPvLy8sr1uPfeez1dGoAywtfTBQC4vt17772aN2+ey7KAgAAPVQOgrOGICoASFRAQoIiICJdH5cqVJUmHDh1S27ZtFRgYqMaNG2vjxo25Xv/cc8+pQYMGCg4OVp06dTRu3DhduXLFpc/LL7+s8PBwVaxYUY8//rgyMzNLZdsAlDyOqADwCIfDoYceekjh4eH66quvlJaWpuHDh+fqV7FiRc2fP19RUVH6/vvv1b9/f1WsWFEjR46UJC1btkwTJkzQjBkz1KZNGy1YsECvv/666tSpU8pbBKAk8EcJAZSYPn36aOHChQoMDHRZPmbMGLVo0UKdO3dWcnKyoqKiJEkff/yxOnXqpFWrVqlbt255jvm///u/WrJkiXbu3ClJatWqlZo1a6YZM2Y4+9x2223KzMzUnj17SmS7AJQejqgAKFF33nmnZs6c6bKsSpUqWrBggWrUqOEMKZIUHx+f6/VLly7V66+/riNHjujChQv69ddfFRoa6mz/8ccf9eSTT7q8Jj4+Xlu2bHHzlgDwBIIKgBJVoUIF1atXr1ivTUxMVM+ePTVx4kR17NhRYWFhWrJkiV599VU3VwnAVpxMC8AjbrrpJh07dkwnT550Lvvyyy9d+nzxxReKiYnR2LFj1aJFC9WvX1/Jycm5xvnqq69clv12HABlF0dUAJSorKwspaSkuCzz9fVVhw4d1KBBA/Xu3VuvvPKK0tPTNXbsWJd+9evX19GjR7VkyRLdeuutWrdunVatWuXSZ9iwYerTp49atGih1q1ba9GiRdq/fz8n0wLXCY6oAChRH3/8sSIjI10ebdq0kbe3t1atWqWMjAz98Y9/1BNPPKHJkye7vLZr16565plnNHToUDVt2lRffPGFxo0b59KnR48eGjdunEaOHKnmzZsrOTlZgwYNKs1NBFCCuOoHAABYiyMqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFjr/wBQxvCbH9t0QAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data =  df, \n",
    "    x = 'edad', \n",
    "    y = 'clase', orient = 'h'\n",
    ")\n",
    "plt.title('Distribución de la Edad')\n",
    "plt.xlabel('Edad')\n",
    "plt.ylabel('Clase')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Edad como variable discreta (Deciles)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Hallar los deciles de acuerdo a la edad.\n",
    "age_deciles = np.percentile(df[\"edad\"], [10*i for i in range(0,11)])\n",
    "# Segmentar a la población en deciles de edad\n",
    "df[\"edad_deciles\"] = pd.cut(df[\"edad\"], age_deciles).astype('string')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'edad_deciles', 0, 3, xticks_rotation=45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Los segmentos donde hay mayor proporción de clientes malos son\n",
    "- 27 a 31 años\n",
    "- 19 a 27 años\n",
    "- 37 a 40 años"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 15. Ocupación"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'ocupacion', y_lim_sup=10, xticks_rotation= 45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En el segmento de desempleados se presenta mayor proporción de clientes malos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 16. Nivel Educativo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'nivel_educativo', y_lim_sup=5, xticks_rotation= 45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 17. Ingreso Total"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Esta variable tiene una distribución sesgada"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data =  remove_outliers_iqr(df, 'ingreso_total'), \n",
    "    x = 'ingreso_total', \n",
    "    y = 'clase', orient = 'h'\n",
    ")\n",
    "plt.title('Distribución del Ingreso Total')\n",
    "plt.xlabel('Ingreso Total')\n",
    "plt.ylabel('Clase')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 18. Egreso Total"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Esta variable tiene una distribución sesgada"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data = df, \n",
    "    x = 'egreso_total', \n",
    "    y = 'clase', \n",
    "    orient = 'h'\n",
    ")\n",
    "plt.title('Distribución del Egreso Total')\n",
    "plt.xlabel('Egreso Total')\n",
    "plt.ylabel('Clase')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 19. Estrato"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'estrato', y_lim_sup=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 20. Antiguedad Empresa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data = df, \n",
    "    x = 'antiguedad_empresa', \n",
    "    y = 'clase', \n",
    "    orient = 'h'\n",
    ")\n",
    "plt.title('Distribución de Antiguedad Empresa')\n",
    "plt.xlabel('Antiguedad')\n",
    "plt.ylabel('Clase')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 21. Estado Civil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'estado_civil', y_lim_sup=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hya mayor proporcion de clientes malos en el segmento de solteros"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 22. Sexo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'sexo', y_lim_sup=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hay una leve tendencia a que las mujeres sean más cumplidas al pagar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 23. Personas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "def personas_mapeo(x):\n",
    "    if x == 0:\n",
    "        return '[0]'\n",
    "    elif x == 1 or x == 2:\n",
    "        return '[1,2]'\n",
    "    else: \n",
    "        return '[3+]'\n",
    "df['personas_discreta'] = df['personas'].map(personas_mapeo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'personas_discreta', y_lim_sup=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parece ser que es más probable que los clientes sin personas a cargo tienen mayor probabilidad de ser malos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 24. Tipo de vivienda"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tenemos 17% de valores faltantes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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nzx588803pf6iaWpqilatWklNNYiKikKVKlXQpUuXEvcry8/Q2z/X1apVAwDJz/X9+/ehoaEh9YssIPvzC7yeojF58mTJ3GhTU1OYmZkhPT1doZ9dorcVPymK6CPn5eX1zmWVdHR0KuWyPm+OfpSnkm6kIChp9b+ikDZnzhx4eHgU20feuaHA63mzEydOREhICGrUqIG2bduW2LdoxLNbt27Fbj969ChatGgh92uXxtTUFK1bt37vWurVqwcAUvOvgde/hBUd/+2LdIoC2bVr1xAQEFDs8a9duwYAKhsdfZeKen+rwqeffgo7Ozts2rQJPXv2xM6dO5GTk1Pq6GqR7t27Izg4GFeuXIGHhwc2bdqEVq1awdTUtMR9yvIzpMyf6x9++AGrVq3CiBEj4O3tDWNjY4hEInTv3l2pvxDSx4dhlkiJbG1tcfDgQbx48UJqpCkuLk6y/U1FIyVvSkhIgL6+PszMzAC8/pN7fHy8TL+4uDhoaGjAxsam1JqKRkxiY2Ph4OCgsnMpq6L1ewVBkBqNevuci87DyMio1LAnr9q1a8PHxwdHjhzBoEGDSrzgKSsrCzt27EBgYKDUVIgiw4YNw/r165UWZkujSC1OTk5wdHTE9u3bsXDhQpkRx+J89tlnMDExwYYNGzBp0qRig8yaNWsAAF988cU7jycWi3Hnzh3J6Cbw+v0NQHLhlirfZ6WNbhbn0aNHyMrKkvpaFVfvtWvXIBaLpX6ZLWu93bp1w6JFi5CZmYmoqCjY2dnh008/fed+AQEBGDBggGSqQUJCAiZOnFjqPsr+GQJen69YLMbt27elRmOL+8zasmULgoKCMG/ePEnbq1evkJ6erpRa6ONV+YaViNRYhw4dUFhYKFkap8iCBQsgEonQvn17qfbTp09LzRVLSkrCjh070LZtW2hqakJTUxNt27bFjh07pJavSU1NxYYNG/DZZ5/ByMio1Jratm0LQ0NDhIWF4dWrV1LbShtdUfRcyqpDhw549OgRtmzZImnLzs7G8uXLpfp5enqiTp06mDt3brE3NHjy5InCrz19+nSEhobihx9+KLHPtm3bkJWVhSFDhqBr164yjy+++AJ///13iUuJKZOitUyZMgVPnz5FSEgI8vPzZY739vdfX18fY8aMQXx8fLFX/u/evRsRERHw9/eXK3ABkHr/CIKA33//HVpaWmjVqhUA1b7PqlatqlBQKigowLJlyyTP8/LysGzZMpiZmUnmtnfo0AEpKSlS81ULCgqwePFiGBgYwNfXV6EaAwMDkZubi9WrV2Pfvn0ljri/zcTEBP7+/ti0aRMiIyOhra1d4mh6EVX8DBV9f3777Tep9oULF8r01dTUlHnPLV68WLIEGVFZcWSWSIk6deqEFi1aYNKkSbh37x7c3d1x4MAB7NixAyNGjJCZV+bq6gp/f38MGzYMOjo6WLJkCQBILX0zffp0REdH47PPPsPgwYNRpUoVLFu2DLm5uZg9e/Y7azIyMsKCBQvQv39/NGnSBD179kS1atVw9epVZGdnl7g+pqLnUlYhISH4/fff0bt3b1y8eBFWVlZYu3atzMVYGhoa+Ouvv9C+fXvUr18fwcHBqFmzJh4+fIjDhw/DyMgIO3fuVOi1fX193xk+1q9fjxo1aqBZs2bFbv/yyy/x559/Yvfu3VLzFVeuXFns0mfDhw+Xa76pMmrp2bMnYmNjERYWhnPnzqF79+6wt7dHVlYWYmNjsXHjRhgaGkrmQQLAhAkTcPnyZfz66684ffo0vv76a+jp6eHEiRNYt24dnJ2d5V5TVVdXF/v27UNQUBCaNm2KvXv3Yvfu3fjxxx8lf3lQ5fvM09MTS5cuxfTp0+Hg4ABzc3PJmtHFsba2xq+//op79+6hbt26iIqKwpUrV7B8+XJoaWkBAL7//nssW7YMffr0wcWLF2FnZ4ctW7bg5MmTWLhwocLf20aNGsHBwQGTJk1Cbm6uXFMMigQGBuLbb7/FkiVL4O/vDxMTk1L7q+JnyMPDAz169MCSJUuQkZGBZs2aISYmBrdu3ZLp+8UXX2Dt2rUwNjaGi4sLTp8+jYMHD0otO0dUJhW1jAJRZSTvskolLd8kCILw4sULYeTIkYK1tbWgpaUlODo6CnPmzJFaCkcQXi8zNGTIEGHdunWCo6OjoKOjIzRs2LDYO15dunRJ8Pf3FwwMDAR9fX2hRYsWwqlTpxSq/Z9//hGaNWsm6OnpCUZGRoKXl5ewceNGqXN6c2muspzL22xtbYWgoKBi63nT/fv3hS+//FLQ19cXTE1NheHDhwv79u0r9g5gly9fFrp06SLUqFFD0NHREWxtbYVu3boJMTExpb7Gm0tzlebN721qaqpQpUoV4bvvviuxf3Z2tqCvry9ZTq3o+1DSIykpqcRjFXcHsCJlqaXIkSNHhK5duwpWVlaClpaWYGRkJDRu3FgIDQ0VkpOTZY5TWFgorFq1SvDx8RGMjIwEXV1doX79+sLUqVPlvqtc0dfx9u3bQtu2bQV9fX3BwsJCCA0NFQoLC6X6vu/7rCQpKSlCx44dBUNDQwGAZHmrkpbmql+/vnDhwgXB29tb0NXVFWxtbYXff/9d5ripqalCcHCwYGpqKmhrawtubm7CqlWr5K7rbZMmTRIACA4ODsVuf3tpriKZmZmCnp6ezFJhRUq6i548P0NFS3MVLaFWpOj9/eYd53JycoRhw4YJNWrUEKpWrSp06tRJSEpKklma6/nz55Kvm4GBgeDv7y/ExcXJ/TlBVBKRICjp6gwiUohIJMKQIUNk/rxK9CHo06cPtmzZUuyfsysjPz8/PH36VOaCOSKq/DhnloiIiIjUFufMEhERKdGzZ8+Ql5dX4nZNTU3JnGEien8Ms0RERErUpUuXUu8EZmtrK7U6CRG9H86ZJSIiUqKLFy+Weuc7PT09+Pj4lGNFRB82hlkiIiIiUlu8AIyIiIiI1NZHOWdWLBbj0aNHMDQ0VPh2h0RERESkeoIg4MWLF7C2tpa6ffTbPsow++jRo3fez56IiIiIKl5SUhJq1apV4vaPMswW3W4wKSnpnfe1JyIiIqLyl5mZCRsbm3feJvqjDLNFUwuMjIwYZomIiIgqsXdNCeUFYERERESkthhmiYiIiEhtMcwSERERkdpimCUiIiIitcUwS0RERERqi2GWiIiIiNQWwywRERERqS2GWSIiIiJSWwyzRERERKS2GGaJiIiISG0xzBIRERGR2mKYJSIiIiK1xTBLRERERGqLYZaIiIiI1BbDLBERERGpLYZZIiIiIlJbDLNEREREpLYYZomIiIhIbTHMEhEREZHaYpglIiIiIrXFMEtEREREaothloiIiIjUFsMsEREREakthlkiIiIiUlsMs0RERESkthhmiYiIiEhtMcwSERERkdpimCUiIiIitcUwS0RERERqi2GWiIiIiNQWwywRERERqS2GWSIiIiJSWwyzRERERKS2GGaJiIiISG0xzBIRERGR2mKYJSIiIiK1xTBLRERERGqLYZaIiIiI1BbDLBERERGpLYZZIiIiIlJbDLNEREREpLYYZomIiIhIbTHMEhEREZHaYpglIiIiIrXFMEtEREREaothloiIiIjUFsMsEREREakthlkiIiIiUlsMs0RERESkthhmiYiIiEhtMcwSERERkdpimCUiIiIitcUwS0RERERqi2GWiIiIiNQWwywRERERqS2GWSIiIiJSWxUaZsPCwtCkSRMYGhrC3NwcAQEBiI+Pf+d+mzdvRr169aCrqws3Nzfs2bOnHKolIiIiosqmQsPs0aNHMWTIEJw5cwbR0dHIz89H27ZtkZWVVeI+p06dQo8ePdCvXz9cvnwZAQEBCAgIQGxsbDlWTkRERESVgUgQBKGiiyjy5MkTmJub4+jRo2jevHmxfQIDA5GVlYVdu3ZJ2j799FN4eHggPDxcrtfJzMyEsbExMjIyYGRkpJTaiYiIiEh55M1rlWrObEZGBgCgevXqJfY5ffo0WrduLdXm7++P06dPq7Q2IiIiIqp8qlR0AUXEYjFGjBgBHx8fuLq6ltgvJSUFFhYWUm0WFhZISUkpcZ/c3Fzk5uZKnmdmZr5/wURERERU4SrNyOyQIUMQGxuLyMhIpR87LCwMxsbGkoeNjY3SX4OIiIiIyl+lCLNDhw7Frl27cPjwYdSqVavUvpaWlkhNTZVqS01NhaWlZYn7TJw4ERkZGZJHUlKSUuomIiIioopVoWFWEAQMHToU27Ztw6FDh2Bvb//Ofby9vRETEyPVFh0dDW9v7xL30dHRgZGRkdSDiIiIiNRfhc6ZHTJkCDZs2IAdO3bA0NBQMu/V2NgYenp6AIDevXujZs2aCAsLAwAMHz4cvr6+mDdvHjp27IjIyEhcuHABy5cvr7DzICIiIqKKUaEjs0uXLkVGRgb8/PxgZWUleURFRUn6JCYmIjk5WfK8WbNm2LBhA5YvXw53d3ds2bIF27dvL/WiMSIiIiL6MFWqdWbLC9eZJSIiIqrc1HKdWSIiIiIiRTDMEhEREZHaYpglIiIiIrXFMEtEREREaothloiIiIjUFsMsEREREakthlkiIiIiUlsMs0RERESkthhmiYiIiEhtMcwSERERkdpimCUiIiIitcUwS0RERERqi2GWiIiIiNQWwywRERERqS2GWSIiIiJSWwyzRERERKS2GGaJiIiISG0xzBIRERGR2mKYJSIiIiK1xTBLRERERGqLYZaIiIiI1BbDLBERERGpLYZZIiIiIlJbDLNEREREpLYYZomIiIhIbTHMEhEREZHaYpglIiIiIrXFMEtEREREaothloiIiIjUVhVFOovFYhw9ehTHjx/H/fv3kZ2dDTMzMzRs2BCtW7eGjY2NquokIiIiIpIh18hsTk4Opk+fDhsbG3To0AF79+5Feno6NDU1cevWLYSGhsLe3h4dOnTAmTNnVF0zEREREREAOUdm69atC29vb/z5559o06YNtLS0ZPrcv38fGzZsQPfu3TFp0iSEhIQovVgiIiIiojeJBEEQ3tXp5s2bcHZ2luuA+fn5SExMRJ06dd67OFXJzMyEsbExMjIyYGRkVNHlEBEREdFb5M1rck0zkDfIAoCWllalDrJERERE9OFQ6AKwNxUUFGDZsmU4cuQICgsL4ePjgyFDhkBXV1eZ9RERERERlajMYXbYsGFISEhAly5dkJ+fjzVr1uDChQvYuHGjMusjIiIiIiqR3GF227Zt+OqrryTPDxw4gPj4eGhqagIA/P398emnnyq/QiIiIiKiEsh904SVK1ciICAAjx49AgA0atQIAwcOxL59+7Bz506MGzcOTZo0UVmhRERERERvkzvM7ty5Ez169ICfnx8WL16M5cuXw8jICJMmTcLPP/8MGxsbbNiwQZW1EhERERFJkWtprjelp6dj3LhxuHr1KsLDw9GwYUNV1aYyXJqLiIiIqHJT6tJcbzIxMcHy5csxZ84c9O7dG2PHjsWrV6/eq1giIiIiorKQO8wmJiaiW7ducHNzQ69eveDo6IiLFy9CX18f7u7u2Lt3ryrrJCIiIiKSIfc0Az8/P1haWqJPnz7Yv38/bt++jX/++QfA6zuEDRgwAJaWlti0aZNKC1YGTjMgIiIiqtzkzWtyL8114cIFXL16FXXq1IG/vz/s7e0l25ydnXHs2DEsX778/aomIiIiIlKA3GHW09MTkydPRlBQEA4ePAg3NzeZPt9//71SiyMiIiIiKo3cc2bXrFmD3NxcjBw5Eg8fPsSyZctUWRcRERER0TvJPTJra2uLLVu2qLIWIiIiIiKFyDUym5WVpdBBFe1PRERERFQWcoVZBwcHzJo1C8nJySX2EQQB0dHRaN++PX777TelFUhEREREVBK5phkcOXIEP/74I6ZMmQJ3d3c0btwY1tbW0NXVxfPnz3Hjxg2cPn0aVapUwcSJEzFgwABV101EREREpNjtbBMTE7F582YcP34c9+/fR05ODkxNTdGwYUP4+/ujffv20NTUVGW9SsF1ZomIiIgqN3nzmkJh9kPBMEtERERUucmb1+RemouIiIiIqLJhmCUiIiIitcUwS0RERERqi2GWiIiIiNQWwywRERERqS25b2f7pvT0dKxYsQI3b94EANSvXx99+/aFsbGxUosjIiIiIiqNwiOzFy5cQJ06dbBgwQI8e/YMz549w/z581GnTh1cunRJFTUSERERERVL4XVmP//8czg4OODPP/9ElSqvB3YLCgrQv39/3LlzB8eOHVNJocrEdWaJiIiIKjeV3TRBT08Ply9fRr169aTab9y4gcaNGyM7O7tsFZcjhlkiIiKiyk1lN00wMjJCYmKiTHtSUhIMDQ0VPRwRERERUZkpHGYDAwPRr18/REVFISkpCUlJSYiMjET//v3Ro0cPVdRIRERERFQshVczmDt3LkQiEXr37o2CggIAgJaWFgYNGoRZs2YpvUAiIiIiopIoPGe2SHZ2Nm7fvg0AqFOnDvT19ZVamCpxziwRERFR5SZvXivTOrMAoK+vDzc3t7LuTkRERET03hQOs1999RVEIpFMu0gkgq6uLhwcHNCzZ084OTkppUAiIiIiopIofAGYsbExDh06hEuXLkEkEkEkEuHy5cs4dOgQCgoKEBUVBXd3d5w8eVIV9RIRERERSSg8MmtpaYmePXvi999/h4bG6ywsFosxfPhwGBoaIjIyEgMHDsT48eNx4sQJpRdMRERERFRE4QvAzMzMcPLkSdStW1eqPSEhAc2aNcPTp0/x77//4vPPP0d6eroya1UaXgBGREREVLmp7KYJBQUFiIuLk2mPi4tDYWEhAEBXV7fYebXFOXbsGDp16gRra2uIRCJs37691P5HjhyRTG9485GSkqLoqRARERGRmlN4msF3332Hfv364ccff0STJk0AAOfPn8fMmTPRu3dvAMDRo0dRv359uY6XlZUFd3d39O3bF126dJG7jvj4eKmUbm5ursBZEBEREdGHQOEwu2DBAlhYWGD27NlITU0FAFhYWGDkyJEYP348AKBt27Zo166dXMdr37492rdvr2gZMDc3h4mJicL7EREREdGHQ+Ewq6mpiUmTJmHSpEnIzMwEAJl5DLVr11ZOdaXw8PBAbm4uXF1dMWXKFPj4+JTYNzc3F7m5uZLnRXUTERERkXpTeM7sm4yMjMr9AiorKyuEh4fj77//xt9//w0bGxv4+fnh0qVLJe4TFhYGY2NjycPGxqYcKyYiIiIiVSnT7Wy3bNmCTZs2ITExEXl5eVLbSguV7yxGJMK2bdsQEBCg0H6+vr6oXbs21q5dW+z24kZmbWxsuJoBERERUSWlstUMfvvtNwQHB8PCwgKXL1+Gl5cXatSogTt37pRp7qsyeHl54datWyVu19HRkYwiV8RoMhERERGphsJhdsmSJVi+fDkWL14MbW1tjBs3DtHR0Rg2bBgyMjJUUeM7XblyBVZWVhXy2kRERERUcRS+ACwxMRHNmjUDAOjp6eHFixcAXi/Z9emnn+L3339X6HgvX76UGlW9e/curly5gurVq6N27dqYOHEiHj58iDVr1gAAFi5cCHt7e9SvXx+vXr3CX3/9hUOHDuHAgQOKngoRERERqbky3c722bNnsLW1Re3atXHmzBm4u7vj7t27KMP0W1y4cAEtWrSQPB81ahQAICgoCBEREUhOTkZiYqJke15eHkaPHo2HDx9CX18fDRo0wMGDB6WOQUREREQfB4UvAOvfvz9sbGwQGhqKP/74A2PHjoWPjw8uXLiALl26YMWKFaqqVWl4O1siIiKiyk3evKZwmBWLxRCLxahS5fWgbmRkJE6dOgVHR0cMGDAA2tra71d5OWCYJSIiIqrcVBJmz5w5g507dyIvLw+tWrWS+y5flQ3DLBEREVHlJm9ek3vO7JYtWxAYGAg9PT1oaWlh/vz5+PXXXzFmzBilFExEREREpCi5l+YKCwtDSEgIMjIy8Pz5c0yfPh0zZ85UZW1ERERERKWSe5qBgYEBrly5AgcHBwCvVxWoWrUqHj58CHNzc5UWqWycZkBERERUuSn9DmDZ2dlSB9LW1oauri5evnz5fpUSEREREZWRQuvM/vXXXzAwMJA8LygoQEREBExNTSVtw4YNU151RERERESlkHuagZ2dHUQiUekHE4lw584dpRSmSpxmQERERFS5KX01g3v37imjLiIiIiIipZF7ziwRERERUWXDMEtEREREaothloiIiIjUFsMsEREREakthlkiIiIiUltyrWaQmZkp9wG51BURERERlRe5wqyJick715gVBAEikQiFhYVKKYyIiIiI6F3kCrOHDx9WdR1ERERERAqTK8z6+vqqug4iIiIiIoXJfQewt2VnZyMxMRF5eXlS7Q0aNHjvooiIiIiI5KFwmH3y5AmCg4Oxd+/eYrdzziwRERERlReFl+YaMWIE0tPTcfbsWejp6WHfvn1YvXo1HB0d8c8//6iiRiIiIiKiYik8Mnvo0CHs2LEDjRs3hoaGBmxtbdGmTRsYGRkhLCwMHTt2VEWdREREREQyFB6ZzcrKgrm5OQCgWrVqePLkCQDAzc0Nly5dUm51RERERESlUDjMOjk5IT4+HgDg7u6OZcuW4eHDhwgPD4eVlZXSCyQiIiIiKonC0wyGDx+O5ORkAEBoaCjatWuH9evXQ1tbGxEREcquj4iIiIioRCJBEIT3OUB2djbi4uJQu3ZtmJqaKqsulcrMzISxsTEyMjJ4+10iIiKiSkjevFbmdWaL6Ovro1GjRu97GCIiIiIihckdZqdNmyZXv8mTJ5e5GCIiIiIiRcg9zUBDQwPW1tYwNzdHSbuIRCK1WNGA0wyIiIiIKjelTzNo3749Dh06hMaNG6Nv37744osvoKGh8GIIRERERERKI3ca3b17N27fvo2mTZti7NixqFmzJsaPHy9ZpouIiIiIqLwpNLRqbW2NiRMnIj4+HlFRUXj8+DGaNGkCHx8f5OTkqKpGIiIiIqJilXk1gyZNmuDevXu4ceMGLl++jPz8fOjp6SmzNiIiIiKiUik86fX06dMICQmBpaUlFi9ejKCgIDx69IgXUhERERFRuZN7ZHb27NmIiIjA06dP0atXLxw/fhwNGjRQZW1ERERERKVSaGmu2rVr44svvoC2tnaJ/ebPn6+04lSFS3MRERERVW5KX5qrefPmEIlEuH79eol9RCKRYlUSEREREb0HucPskSNHVFgGEREREZHieNcDIiIiIlJbDLNEREREpLYYZomIiIhIbTHMEhEREZHaYpglIiIiIrVVpjB7/PhxfPvtt/D29sbDhw8BAGvXrsWJEyeUWhwRERERUWkUDrN///03/P39oaenh8uXLyM3NxcAkJGRgZkzZyq9QCIiIiKikigcZqdPn47w8HD8+eef0NLSkrT7+Pjg0qVLSi2OiIiIiKg0CofZ+Ph4NG/eXKbd2NgY6enpyqiJiIiIiEguCodZS0tL3Lp1S6b9xIkT+OSTT5RSFBERERGRPBQOsyEhIRg+fDjOnj0LkUiER48eYf369RgzZgwGDRqkihqJiIiIiIpVRdEdJkyYALFYjFatWiE7OxvNmzeHjo4OxowZgx9++EEVNRIRERERFUskCIJQlh3z8vJw69YtvHz5Ei4uLjAwMFB2bSqTmZkJY2NjZGRkwMjIqKLLISIiIqK3yJvXFB6ZLaKtrQ0XF5ey7k5ERERE9N7kCrNdunSR+4Bbt24tczFERERERIqQ6wIwY2NjycPIyAgxMTG4cOGCZPvFixcRExMDY2NjlRVKRERERPQ2uUZmV61aJfn3+PHj0a1bN4SHh0NTUxMAUFhYiMGDB3P+KRERERGVK4UvADMzM8OJEyfg5OQk1R4fH49mzZohLS1NqQWqAi8AIyIiIqrc5M1rCq8zW1BQgLi4OJn2uLg4iMViRQ9HRERERFRmCq9mEBwcjH79+uH27dvw8vICAJw9exazZs1CcHCw0gskIiIiIiqJwmF27ty5sLS0xLx585CcnAwAsLKywtixYzF69GilF0hEREREVJIy3zQBeD2XAYDazTvlnFkiIiKiyk3lN00A1C/EEhEREdGHReELwIiIiIiIKguGWSIiIiJSWwyzRERERKS2GGaJiIiISG2V6QKwmJgYxMTE4PHjxzI3Sli5cqVSCiMiIiIieheFw+zUqVMxbdo0NG7cGFZWVhCJRKqoi4iIiIjonRQOs+Hh4YiIiMB3332ninqIiIiIiOSm8JzZvLw8NGvWTBW1EBEREREpROEw279/f2zYsEFpBRw7dgydOnWCtbU1RCIRtm/f/s59jhw5gkaNGkFHRwcODg6IiIhQWj1EREREpD4Unmbw6tUrLF++HAcPHkSDBg2gpaUltX3+/PkKHS8rKwvu7u7o27cvunTp8s7+d+/eRceOHTFw4ECsX78eMTEx6N+/P6ysrODv76/QaxMRERGRelM4zF67dg0eHh4AgNjYWKltZbkYrH379mjfvr3c/cPDw2Fvb4958+YBAJydnXHixAksWLCAYZaIiIjoI6NwmD18+LAq6pDb6dOn0bp1a6k2f39/jBgxosR9cnNzkZubK3memZmpqvKIiIiIqBy9100THjx4gAcPHiirFrmkpKTAwsJCqs3CwgKZmZnIyckpdp+wsDAYGxtLHjY2NuVRKhERERGpmMJhViwWY9q0aTA2NoatrS1sbW1hYmKCX375ReYGCpXFxIkTkZGRIXkkJSVVdElEREREpATvnGawcuVKeHl5wdXVFQAwadIkrFixArNmzYKPjw8A4MSJE5gyZQpevXqFGTNmqLRgS0tLpKamSrWlpqbCyMgIenp6xe6jo6MDHR0dldZFREREROXvnSOztra2aN++PQ4dOgQAWL16Nf766y8MGjQIDRo0QIMGDTB48GD8+eef5bJElre3N2JiYqTaoqOj4e3trfLX/uOPP2BnZwddXV00bdoU586dK7Gvn58fRCKRzKNjx46SPnPnzoW5uTnMzc0lF7QVOXv2LDw9PVFQUKCy8yEiIiJSd+8Ms61atUJMTAwmTJgAAHj27Bnq1asn069evXp49uyZwgW8fPkSV65cwZUrVwC8XnrrypUrSExMBPB6ikDv3r0l/QcOHIg7d+5g3LhxiIuLw5IlS7Bp0yaMHDlS4ddWRFRUFEaNGoXQ0FBcunQJ7u7u8Pf3x+PHj4vtv3XrViQnJ0sesbGx0NTUxDfffAPg9aoQkydPRmRkJDZu3IiffvoJ//77LwCgoKAAAwcORHh4OKpUUfgaPSIiIqKPhlxzZuvWrYtjx44BANzd3fH777/L9Pn999/h7u6ucAEXLlxAw4YN0bBhQwDAqFGj0LBhQ0yePBkAkJycLAm2AGBvb4/du3cjOjoa7u7umDdvHv766y+VL8s1f/58hISEIDg4GC4uLggPD4e+vj5WrlxZbP/q1avD0tJS8oiOjoa+vr4kzMbFxaFBgwZo2bIlWrVqhQYNGiAuLg4AMGfOHDRv3hxNmjRR6TkRERERqTuRIAiCIjscPXoUHTt2RO3atSV/2j99+jSSkpKwZ88efP755yopVJkyMzNhbGyMjIwMGBkZvbN/Xl4e9PX1sWXLFgQEBEjag4KCkJ6ejh07drzzGG5ubvD29sby5csBADdv3oSPjw+uXLkCQRDg4eGBU6dOQVtbG+3bt8fFixdhaGhY5nMkIiIiUmfy5jWFVzPw9fVFQkICvvrqK6SnpyM9PR1dunRBfHy8WgTZsnj69CkKCwuLXRIsJSXlnfufO3cOsbGx6N+/v6TN2dkZM2fORJs2bdC2bVuEhYXB2dkZAwYMwOzZs7F//364urqiYcOGklFxIiIiIpJWpgmZ1tbWKl+14EOyYsUKuLm5wcvLS6p94MCBGDhwoOT56tWrYWhoCG9vbzg5OeH8+fN48OABunfvjrt373JFBiIiIqK3yBVmr127BldXV2hoaODatWul9m3QoIFSCqtMTE1NoampWeySYJaWlqXum5WVhcjISEybNq3Ufk+fPsXUqVNx7NgxnD17FnXr1oWjoyMcHR2Rn5+PhIQEuLm5vfe5EBEREX1I5AqzHh4eSElJgbm5OTw8PCASiVDcVFuRSITCwkKlF1nRtLW14enpiZiYGMmcWbFYjJiYGAwdOrTUfTdv3ozc3Fx8++23pfYbOXIkRo4ciVq1auH8+fPIz8+XbCsoKPggv65ERERE70uuMHv37l2YmZlJ/v0xGjVqFIKCgtC4cWN4eXlh4cKFyMrKQnBwMACgd+/eqFmzJsLCwqT2W7FiBQICAlCjRo0Sjx0dHY2EhASsXr0aANCkSRPExcVh7969SEpKgqamJpycnFR3ckRERERqSq4wa2trW+y/PyaBgYF48uQJJk+ejJSUFHh4eGDfvn2Si8ISExOhoSF9PV18fDxOnDiBAwcOlHjcnJwcDB06FFFRUZL9a9WqhcWLFyM4OBg6OjpYvXp1iXc3IyIiIvqYKbw0V1hYGCwsLNC3b1+p9pUrV+LJkycYP368UgtUBUWX5iIiIiKi8qWypbmWLVtW7B3A6tevj/DwcEUPR0RERERUZgqH2ZSUFFhZWcm0m5mZITk5WSlFERERERHJQ+Ewa2Njg5MnT8q0nzx5EtbW1kopioiIiIhIHgrfNCEkJAQjRoxAfn4+WrZsCQCIiYnBuHHjMHr0aKUXSERERERUEoXD7NixY5GWlobBgwcjLy8PAKCrq4vx48dj4sSJSi+wskpLS4OzszPOnTsHOzs7pRxzwoQJyMrKwuLFi5VyPCIiIqIPnULTDAoLC3H8+HFMmDABT548wZkzZ3D16lU8e/YMkydPVlWNldKMGTPQuXNnmSCblpaGWrVqQSQSIT09XWpbbm4uJk2aBFtbW+jo6MDOzg4rV66UbB8zZgxWr16NO3fulMMZEBEREak/hZfm0tXVxc2bN2Fvb6+qmlTufZfmys7OhpWVFfbv349PP/1UaltAQADy8vKwd+9ePH/+HCYmJpJtnTt3RmpqKqZPnw4HBwckJydDLBbDx8dH0uebb76BnZ0d5syZU+bzIyIiIlJ3Kluay9XV9aMfOdyzZw90dHRkguzSpUuRnp6OMWPGyOyzb98+HD16FHv27EHr1q1hZ2cHb29vqSALAJ06dUJkZKRK6yciIiL6UCgcZqdPn44xY8Zg165dSE5ORmZmptTjY3D8+HF4enpKtd24cQPTpk3DmjVrZO4EBgD//PMPGjdujNmzZ6NmzZqoW7cuxowZg5ycHKl+Xl5eePDgAe7du6fKUyAiIiL6ICh8AViHDh0AAF9++SVEIpGkXRAEiEQiFBYWKq+6Sur+/ftSy5Dl5uaiR48emDNnDmrXrl3syPWdO3dw4sQJ6OrqYtu2bXj69CkGDx6MtLQ0rFq1StKv6Lj3799X2oVlRERERB8qhcPs4cOHVVGHWsnJyYGurq7k+cSJE+Hs7Ixvv/22xH3EYjFEIhHWr18PY2NjAMD8+fPRtWtXLFmyBHp6egAg+W92drYKz4CIiIjow6BwmPX19VVFHWrF1NQUz58/lzw/dOgQ/v33X2zZsgXA61Hqon6TJk3C1KlTYWVlhZo1a0qCLAA4OztDEAQ8ePAAjo6OAIBnz54BeH1HNSIiIiIqncJhFgDS09OxYsUK3Lx5EwBQv3599O3bVyqofcgaNmyIdevWSZ7//fffUnNfz58/j759++L48eOoU6cOAMDHxwebN2/Gy5cvYWBgAABISEiAhoYGatWqJdk3NjYWWlpaqF+/fjmdDREREZH6UvgCsAsXLqBOnTpYsGABnj17hmfPnmH+/PmoU6cOLl26pIoaKx1/f39cv35dMjpbp04duLq6Sh5Fy5Y5OzvD3NwcANCzZ0/UqFEDwcHBuHHjBo4dO4axY8eib9++kqkFwOuLyz7//HOpNiIiIiIqnsJhduTIkfjyyy9x7949bN26FVu3bsXdu3fxxRdfYMSIESoosfJxc3NDo0aNsGnTJrn3MTAwQHR0NNLT09G4cWP06tULnTp1wm+//SbVLzIyEiEhIcoumYiIiOiDpPBNE/T09HD58mXUq1dPqv3GjRto3LixWly49L43TQCA3bt3Y+zYsYiNjS12Ka6y2Lt3L0aPHo1r166hSpUyzQAhIiIi+iCo7KYJRkZGSExMlGlPSkqCoaGhoodTWx07dsT333+Phw8fKu2YWVlZWLVqFYMsERERkZwUTk2BgYHo168f5s6di2bNmgEATp48ibFjx6JHjx5KL7AyU/a0iq5duyr1eEREREQfOoVHZufOnYsuXbqgd+/esLOzg52dHfr06YOuXbvi119/VUWNREQfjT/++AN2dnbQ1dVF06ZNce7cuRL7RkREQCQSST3eXAMbeP2ZbW5uDnNzc8ybN09q29mzZ+Hp6YmCggKVnAsRUXlQeGRWW1sbixYtQlhYGG7fvg3g9dX8+vr6Si+OiOhjEhUVhVGjRiE8PBxNmzbFwoUL4e/vj/j4eMnKKG8zMjJCfHy85Pmbd2a8du0aJk+ejF27dkEQBHzxxRdo27Yt3NzcUFBQgIEDB2L58uWc2kREaq3MVy7p6+vDxMQEJiYmDLJEREowf/58hISEIDg4GC4uLggPD4e+vj5WrlxZ4j4ikQiWlpaSh4WFhWRbXFwcGjRogJYtW6JVq1Zo0KAB4uLiAABz5sxB8+bN0aRJE5WfFxGRKikcZgsKCvDzzz/D2NhYMs3A2NgYP/30E/Lz81VRIxHRBy8vLw8XL15E69atJW0aGhpo3bo1Tp8+XeJ+L1++hK2tLWxsbNC5c2dcv35dss3NzQ0JCQlITEzE/fv3kZCQAFdXV9y+fRurVq3C9OnTVXpORETlQeEw+8MPP2D58uWYPXs2Ll++jMuXL2P27NlYsWIFhg0bpooaiYg+eE+fPkVhYaHUyCoAWFhYICUlpdh9nJycsHLlSuzYsQPr1q2DWCxGs2bN8ODBAwCvb9wyc+ZMtGnTBm3btkVYWBicnZ0xYMAAzJ49G/v374erqysaNmyIY8eOqfwciYhUQeGJUhs2bEBkZCTat28vaWvQoAFsbGzQo0cPLF26VKkFEhFR8by9veHt7S153qxZMzg7O2PZsmX45ZdfAAADBw7EwIEDJX1Wr14NQ0NDeHt7w8nJCefPn8eDBw/QvXt33L17Fzo6OuV+HkRE70PhMKujowM7OzuZdnt7e2hrayujJiKij46pqSk0NTWRmpoq1Z6amgpLS0u5jqGlpYWGDRvi1q1bxW5/+vQppk6dimPHjuHs2bOoW7cuHB0d4ejoiPz8fCQkJMDNze29z4WIqDwpPM1g6NCh+OWXX5Cbmytpy83NxYwZMzB06FClFkdE9LHQ1taGp6cnYmJiJG1isRgxMTFSo6+lKSwsxL///gsrK6tit48cORIjR45ErVq1UFhYKHWdQ0FBAQoLC9/vJIiIKoDCI7OXL19GTEwMatWqBXd3dwDA1atXkZeXh1atWqFLly6Svlu3blVepWqqUCzg3N1nePziFcwNdeFlXx2aGqJ370hEH51Ro0YhKCgIjRs3hpeXFxYuXIisrCwEBwcDAHr37o2aNWsiLCwMADBt2jR8+umncHBwQHp6OubMmYP79++jf//+MseOjo5GQkICVq9eDQBo0qQJ4uLisHfvXiQlJUFTUxNOTk7ld7JEREqicJg1MTHB119/LdVmY2OjtII+JPtikzF15w0kZ7yStFkZ6yK0kwvauRY/ckJEH6/AwEA8efIEkydPRkpKCjw8PLBv3z7JRWGJiYnQ0PjfH9SeP3+OkJAQpKSkoFq1avD09MSpU6fg4uIiddycnBwMHToUUVFRkv1r1aqFxYsXIzg4GDo6Oli9ejX09PTK72SJiJREJAiCUNFFlLfMzEwYGxsjIyMDRkZGKnmNfbHJGLTuEt7+4haNyS79thEDLREREVEJ5M1rZb5pwpMnT3DixAmcOHECT548KethPkiFYgFTd96QCbIAJG1Td95Aofij+z2CiIiISKkUDrNZWVno27cvrKys0Lx5czRv3hzW1tbo168fsrOzVVGj2jl395nU1IK3CQCSM17h3N1n5VcUERER0QdI4TA7atQoHD16FDt37kR6ejrS09OxY8cOHD16FKNHj1ZFjWrn8YuSg2xZ+hERERFR8RS+AOzvv//Gli1b4OfnJ2nr0KED9PT00K1bN940AYC5oa5S+xERERFR8RQemc3Ozpa53SIAmJubc5rB//Oyrw4rY12UtACXCK9XNfCyr16eZRERERF9cBQOs97e3ggNDcWrV//7E3lOTg6mTp0q98LeHzpNDRFCO71eGuftQFv0PLSTC9ebJaJSpaWlwdzcHPfu3VPaMbt374558+Yp7XhERBVN4TC7cOFCnDx5ErVq1UKrVq3QqlUr2NjY4NSpU1i0aJEqalRL7VytsPTbRjA3kr7PuaWxLpflIiK5zJgxA507d4adnR2uXr2KHj16wMbGBnp6enB2di72M/fIkSNo1KgRdHR04ODggIiICKntP/30E2bMmIGMjIxyOgsiItVSeM6sm5sb/vvvP6xfvx5xcXEAgB49eqBXr15ccPst7Vyt4ONgCrcpBwAAEcFN8LmjGUdkieidsrOzsWLFCuzfvx8AcPHiRZibm2PdunWSAYTvv/8empqakluJ3717Fx07dsTAgQOxfv16xMTEoH///rCysoK/vz8AwNXVFXXq1MG6deswZMiQCjs/IiJlUeimCfn5+ahXrx527doFZ2dnVdalUuVx04Qi2XkFcJn8+n9GN6b5Q19b4d8fiOgjtGXLFgwePBiPHz8usc+QIUNw8+ZNHDp0CAAwfvx47N69G7GxsZI+3bt3R3p6Ovbt2ydpmzZtGqKjo3H8+HHVnQAR0XtSyU0TtLS0pObKEhGRahw/fhyenp6l9snIyED16v+7kPT06dNo3bq1VB9/f3+cPn1aqs3Lywvnzp1Dbm6u8gomIqogCs+ZHTJkCH799VcUFBSooh4iIgJw//59WFtbl7j91KlTiIqKwvfffy9pS0lJkVltxsLCApmZmcjJyZG0WVtbIy8vDykpKcovnIionCn8N+/z588jJiYGBw4cgJubG6pWrSq1fevWrUorjojoY5WTkwNd3eLXoo6NjUXnzp0RGhqKtm3bKnzsousbuJwiEX0IFA6zJiYm+Prrr1VRCxER/T9TU1M8f/5cpv3GjRto1aoVvv/+e/z0009S2ywtLZGamirVlpqaCiMjI6kLdJ89e30rbTMzMxVUTkRUvhQOs6tWrVJFHURE9IaGDRti3bp1Um3Xr19Hy5YtERQUhBkzZsjs4+3tjT179ki1RUdHy6wBHhsbi1q1asHU1FT5hRMRlTO558yKxWL8+uuv8PHxQZMmTTBhwgSpOVhERKQ8/v7+uH79umR0NjY2Fi1atEDbtm0xatQopKSkICUlBU+ePJHsM3DgQNy5cwfjxo1DXFwclixZgk2bNmHkyJFSxz5+/HiZpicQEVVGcofZGTNm4Mcff4SBgQFq1qyJRYsWcY1CIiIVcXNzQ6NGjbBp0yYAr5fqevLkCdatWwcrKyvJo0mTJpJ97O3tsXv3bkRHR8Pd3R3z5s3DX3/9JVljFgBevXqF7du3IyQkpNzPiYhIFeReZ9bR0RFjxozBgAEDAAAHDx5Ex44dkZOTAw0NhRdFqFBcZ5aI1MHu3bsxduxYxMbGKu1zdunSpdi2bRsOHDiglOMREamKvHlN7mSVmJiIDh06SJ63bt0aIpEIjx49Qq1atd6vWiIiktGxY0f8999/ePjwIWxsbJRyTC0tLSxevFgpxyIiqgzkDrMFBQUyy8RoaWkhPz9f6UUREdFrI0aMUOrx+vfvr9TjERFVNLnDrCAI6NOnD3R0dCRtr169wsCBA6XWmuU6s0RERERUXuQOs0FBQTJt3377rVKLISIiIiJShNxhluvLEhEREVFlo17LEBARERERvYFhloiIiIjUFsMsEREREakthlkiIiIiUlsMs0REaq5QLOD07TTsuPIQp2+noVAs140diegj9ccff8DOzg66urpo2rQpzp07V2LfrVu3onHjxjAxMUHVqlXh4eGBtWvXSvWZO3cuzM3NYW5ujnnz5kltO3v2LDw9PVFQUKCScwEUWM2AiIgqn32xyZi68waSM15J2qyMdRHayQXtXK0qsDIiqoyioqIwatQohIeHo2nTpli4cCH8/f0RHx8Pc3Nzmf7Vq1fHpEmTUK9ePWhra2PXrl0IDg6Gubk5/P39ce3aNUyePBm7du2CIAj44osv0LZtW7i5uaGgoAADBw7E8uXLUaWK6iInR2aJiNTUvthkDFp3SSrIAkBKxisMWncJ+2KTK6gyIqqs5s+fj5CQEAQHB8PFxQXh4eHQ19fHypUri+3v5+eHr776Cs7OzqhTpw6GDx+OBg0a4MSJEwCAuLg4NGjQAC1btkSrVq3QoEEDxMXFAQDmzJmD5s2bo0mTJio9J4ZZIiI1VCgWMHXnDRQ3oaCoberOG5xyQEQSeXl5uHjxIlq3bi1p09DQQOvWrXH69Ol37i8IAmJiYhAfH4/mzZsDANzc3JCQkIDExETcv38fCQkJcHV1xe3bt7Fq1SpMnz5dZedThGGWiEgNnbv7TGZE9k0CgOSMVzh391n5FUVEldrTp09RWFgICwsLqXYLCwukpKSUuF9GRgYMDAygra2Njh07YvHixWjTpg0AwNnZGTNnzkSbNm3Qtm1bhIWFwdnZGQMGDMDs2bOxf/9+uLq6omHDhjh27JhKzotzZomI1NDjFyUH2bL0IyIqiaGhIa5cuYKXL18iJiYGo0aNwieffAI/Pz8AwMCBAzFw4EBJ/9WrV8PQ0BDe3t5wcnLC+fPn8eDBA3Tv3h13796Fjo6OUutjmCUiUkPmhrpK7UdEHz5TU1NoamoiNTVVqj01NRWWlpYl7qehoQEHBwcAgIeHB27evImwsDBJmH3T06dPMXXqVBw7dgxnz55F3bp14ejoCEdHR+Tn5yMhIQFubm5KPa9KMc1AkSUiIiIiIBKJpB66uvywJqKPi5d9dVgZ60JUwnYRXq9q4GVfvTzLIqJKTFtbG56enoiJiZG0icVixMTEwNvbW+7jiMVi5ObmFrtt5MiRGDlyJGrVqoXCwkLk5+dLthUUFKCwsLDsJ1CCCh+ZVXSJCAAwMjJCfHy85LlIVNLHORHRh0lTQ4TQTi4YtO4SRIDUhWBFn4ihnVygqcHPRyL6n1GjRiEoKAiNGzeGl5cXFi5ciKysLAQHBwMAevfujZo1ayIsLAwAEBYWhsaNG6NOnTrIzc3Fnj17sHbtWixdulTm2NHR0UhISMDq1asBAE2aNEFcXBz27t2LpKQkaGpqwsnJSennVOFh9s0lIgAgPDwcu3fvxsqVKzFhwoRi9xGJRKUOhxMRfQzauVph6beNEPrPdaRm/m+UxJLrzBJRCQIDA/HkyRNMnjwZKSkp8PDwwL59+yQXhSUmJkJD439/uM/KysLgwYPx4MED6OnpoV69eli3bh0CAwOljpuTk4OhQ4ciKipKsn+tWrWwePFiBAcHQ0dHB6tXr4aenp7Sz0kkCEKFrduSl5cHfX19bNmyBQEBAZL2oKAgpKenY8eOHTL7REREoH///qhZsybEYjEaNWqEmTNnon79+iW+Tm5urtRweGZmJmxsbJCRkQEjIyOlntPbsvMK4DJ5PwDgxjR/6GtX+O8PRPSBefEqH25TDgAAIoKb4HNHM47IEpHay8zMhLGx8TvzWoXOmS3LEhFOTk5YuXIlduzYgXXr1kEsFqNZs2Z48OBBia8TFhYGY2NjycPGxkap50FEVJHeDK5e9tUZZInoo1IpLgBThLe3N3r37g0PDw/4+vpi69atMDMzw7Jly0rcZ+LEicjIyJA8kpKSyrFiIiIiIlKVCv2bd1mXiHiTlpYWGjZsiFu3bpXYR0dHR+lrmhERERFRxavQkVllLBFRWFiIf//9F1ZWvNCBiIiI6GNT4VcjKbpExLRp0/Dpp5/CwcEB6enpmDNnDu7fv4/+/ftX5GkQERERUQWo8DCr6BIRz58/R0hICFJSUlCtWjV4enri1KlTcHFxqahTICIiIlJLaWlpcHZ2xrlz52BnZ6eUY3bv3h1NmjTB6NGjlXK8d6nQpbkqirxLPSgDl+YiIlXj5wwRldWoUaPw4sUL/Pnnn0hLS0OvXr1w7do1pKWlwdzcHJ07d8bMmTMleWnr1q1YunQprly5gtzcXNSvXx9TpkyBv7+/5JixsbFo3rw57t69C2Nj4zLXphZLcxERERFRxcjOzsaKFSvQr18/AICGhgY6d+6Mf/75BwkJCYiIiMDBgwcxcOBAyT7Hjh1DmzZtsGfPHly8eBEtWrRAp06dcPnyZUkfV1dX1KlTB+vWrSuX8+Cv70REREQfoT179kBHRweffvopAKBatWoYNGiQZLutrS0GDx6MOXPmSNoWLlwodYyZM2dix44d2LlzJxo2bChp79SpEyIjIzFkyBDVngQ4MktERET0UTp+/Dg8PT1L3P7o0SNs3boVvr6+JfYRi8V48eIFqlevLtXu5eWFc+fOSd2BVVUYZomIiIg+Qvfv34e1tbVMe48ePaCvr4+aNWvCyMgIf/31V4nHmDt3Ll6+fIlu3bpJtVtbWyMvL6/EO7oqE8MsERER0UcoJycHurq6Mu0LFizApUuXsGPHDty+fRujRo0qdv8NGzZg6tSp2LRpE8zNzaW26enpAXg9L1fVOGeWiIiI6CNkamqK58+fy7RbWlrC0tIS9erVQ/Xq1fH555/j559/lrpBVWRkJPr374/NmzejdevWMsd49uwZAMDMzEx1J/D/ODJLRERE9BFq2LAhbty4UWofsVgMAFJzXzdu3Ijg4GBs3LgRHTt2LHa/2NhY1KpVC6ampsoruAQcmSUiIiL6CPn7+2PixIl4/vw5qlWrhj179iA1NRVNmjSBgYEBrl+/jrFjx8LHx0dyQ4UNGzYgKCgIixYtQtOmTSVzYvX09KTWlD1+/Djatm1bLufBkVkiIiKij5CbmxsaNWqETZs2AXgdSP/880989tlncHZ2xsiRI/Hll19i165dkn2WL1+OgoICDBkyBFZWVpLH8OHDJX1evXqF7du3IyQkpFzOgyOzRERERB+pyZMnY+zYsQgJCUGLFi1w6tSpUvsfOXLkncdctWoVvLy8JOvXqhrDLBEREdFHqmPHjvjvv//w8OFD2NjYKOWYWlpaWLx4sVKOJQ+GWSIiIqKP2IgRI5R6vP79+yv1eO/CObNEREREpLYYZomIiIhIbTHMEhEREZHaYpglIiIiIrXFMEtEREREaothloiIiIjUFsMsEREREaktrjNLRERERKUqFAs4d/cZHr94BXNDXXjZV4emhqiiywLAMEtEREREpdgXm4ypO28gOeOVpM3KWBehnVzQztWqAit7jdMMiIiIiKhY+2KTMWjdJakgCwApGa8waN0l7ItNrqDK/odhloiIiIhkFIoFTN15A0Ix24rapu68gUJxcT3KD8MsEREREck4d/eZzIjsmwQAyRmvcO7us/IrqhgMs0REREQk4/GLkoNsWfqpCsMsEREREckwN9RVaj9VYZglIiIiIhle9tVhZayLkhbgEuH1qgZe9tXLsywZDLNEREREJENTQ4TQTi4AIBNoi56HdnKp8PVmGWaJiIiIqFjtXK2w9NtGMDfSkWq3NNbF0m8bVYp1ZnnTBCIiIiIqUTtXK/g4mMJtygEAQERwE3zuaFbhI7JFODJLRERERKV6M7hWplvZAgyzRERERKTGGGaJiIiISG0xzBIRERGR2mKYJSIiIiK1xTBLRERERGqLYZaIiIiI1BbDLBERERGpLYZZIiIiIlJbDLNEREREpLYYZomIiIhIbTHMEhEREZHaYpglIiIiIrXFMEtEREREaothloiIiIjUFsMsEREREakthlkiIiIiUlsMs0RERESkthhmiYiIiEhtMcwSERERkdpimCUiIiIitcUwS0RERERqi2GWiIiIiNQWwywRERERqS2GWSIiIiJSWwyzRERERKS2GGaJiIiISG0xzBIRERGR2mKYJSIiIiK1xTBLRERERGqLYZaIiIiI1BbDLBERERGpLYZZIiIiIlJbDLNEREREpLYYZomIiIhIbTHMEhEREZHaYpglIiIiIrXFMEtEREREaothloiIiIjUVqUIs3/88Qfs7Oygq6uLpk2b4ty5c6X237x5M+rVqwddXV24ublhz5495VQpEREREVUmFR5mo6KiMGrUKISGhuLSpUtwd3eHv78/Hj9+XGz/U6dOoUePHujXrx8uX76MgIAABAQEIDY2tpwrJyIiIqKKVuFhdv78+QgJCUFwcDBcXFwQHh4OfX19rFy5stj+ixYtQrt27TB27Fg4Ozvjl19+QaNGjfD777+Xc+VEREREVNEqNMzm5eXh4sWLaN26taRNQ0MDrVu3xunTp4vd5/Tp01L9AcDf37/E/kRERET04apSkS/+9OlTFBYWwsLCQqrdwsICcXFxxe6TkpJSbP+UlJQSXyc3Nxe5ubmS5xkZGQCAzMzMspYut+y8AohzsyWvV6BdoV9yIvoA8XOGiFStIj5ninKaIAil9vsoPvHCwsIwdepUmXYbG5tyrcNqYbm+HBF9hPg5Q0SqVt6fMy9evICxsXGJ2ys0zJqamkJTUxOpqalS7ampqbC0tCx2H0tLS4X6A8DEiRMxatQoyXOxWIxnz56hRo0aEIlE73EG8snMzISNjQ2SkpJgZGSk8tcjoo8PP2eISNXK+3NGEAS8ePEC1tbWpfar0DCrra0NT09PxMTEICAgAMDroBkTE4OhQ4cWu4+3tzdiYmIwYsQISVt0dDS8vb1LfB0dHR3o6OhItZmYmLxv+QozMjLi/2SISKX4OUNEqlaenzOljcgWqfBpBqNGjUJQUBAaN24MLy8vLFy4EFlZWQgODgYA9O7dGzVr1kRYWBgAYPjw4fD19cW8efPQsWNHREZG4sKFC1i+fHlFngYRERERVYAKD7OBgYF48uQJJk+ejJSUFHh4eGDfvn2Si7wSExOhofG/RReaNWuGDRs24KeffsKPP/4IR0dHbN++Ha6urhV1CkRERERUQUTCuy4Ro/eWm5uLsLAwTJw4UWa6AxGRMvBzhohUrbJ+zjDMEhEREZHaqvA7gBERERERlRXDLBERERGpLYZZIiIiIlJbDLPlzM7ODgsXLpQ8F4lE2L59OwDg3r17EIlEuHLlSoXURkQfrjc/a8pqypQp8PDwUEo9RPTh8vPzk7ofgKp99GG2T58+EIlEMo9bt26p5PXOnz+P77//vthtNjY2SE5O5jJjRGro9OnT0NTURMeOHSu6FCIiANIZR1tbGw4ODpg2bRoKCgpU+rpbt27FL7/8otLXeNNHH2YBoF27dkhOTpZ62Nvbq+S1zMzMoK+vX+w2TU1NWFpaokqVsi//m5eXV+Z9iajsVqxYgR9++AHHjh3Do0ePSuwnCEKx/yPhzy4RqUJRxvnvv/8wevRoTJkyBXPmzJHpp8zPoOrVq8PQ0FBpx3sXhlm8vt2tpaWl1GPRokVwc3ND1apVYWNjg8GDB+Ply5eSfSIiImBiYoJdu3bByckJ+vr66Nq1K7Kzs7F69WrY2dmhWrVqGDZsGAoLCyX7vT3N4E1vTzMoLCxEv379YG9vDz09PTg5OWHRokVS+/Tp0wcBAQGYMWMGrK2t4eTkpPSvDxGV7uXLl4iKisKgQYPQsWNHRERESLYdOXIEIpEIe/fuhaenJ3R0dHDixAn4+flh6NChGDFiBExNTeHv7w8AiI2NRfv27WFgYAALCwt89913ePr0qeR4fn5+GDZsGMaNG4fq1avD0tISU6ZMkarnv//+Q/PmzaGrqwsXFxdER0fL1Dx+/HjUrVsX+vr6+OSTT/Dzzz8jPz9fqs+sWbNgYWEBQ0ND9OvXD69evZLafv78ebRp0wampqYwNjaGr68vLl269J5fTSJSpqKMY2tri0GDBqF169b4559/SswP//77L1q2bAk9PT3UqFED33//vVT+Kdpv6tSpMDMzg5GREQYOHCgVht+eZrB27Vo0btwYhoaGsLS0RM+ePfH48WOlnSPDbAk0NDTw22+/4fr161i9ejUOHTqEcePGSfXJzs7Gb7/9hsjISOzbtw9HjhzBV199hT179mDPnj1Yu3Ytli1bhi1btpSpBrFYjFq1amHz5s24ceMGJk+ejB9//BGbNm2S6hcTE4P4+HhER0dj165dZT5nIiqbTZs2oV69enBycsK3336LlStX4u0lvCdMmIBZs2bh5s2baNCgAQBg9erV0NbWxsmTJxEeHo709HS0bNkSDRs2xIULF7Bv3z6kpqaiW7duUsdavXo1qlatirNnz2L27NmYNm2aJLCKxWJ06dIF2traOHv2LMLDwzF+/HiZmg0NDREREYEbN25g0aJF+PPPP7FgwQKpc5oyZQpmzpyJCxcuwMrKCkuWLJE6xosXLxAUFIQTJ07gzJkzcHR0RIcOHfDixQulfF2JSPn09PQkwfPt/JCVlQV/f39Uq1YN58+fx+bNm3Hw4EEMHTpU6hgxMTG4efMmjhw5go0bN2Lr1q2YOnVqia+Zn5+PX375BVevXsX27dtx79499OnTR3knJXzkgoKCBE1NTaFq1aqSR9euXWX6bd68WahRo4bk+apVqwQAwq1btyRtAwYMEPT19YUXL15I2vz9/YUBAwZIntva2goLFiyQPAcgbNu2TRAEQbh7964AQLh8+XKJ9Q4ZMkT4+uuvpeq3sLAQcnNzFTltIlKiZs2aCQsXLhQEQRDy8/MFU1NT4fDhw4IgCMLhw4cFAML27dul9vH19RUaNmwo1fbLL78Ibdu2lWpLSkoSAAjx8fGS/T777DOpPk2aNBHGjx8vCIIg7N+/X6hSpYrw8OFDyfa9e/dKfdYUZ86cOYKnp6fkube3tzB48GCpPk2bNhXc3d1LPEZhYaFgaGgo7Ny5s8Q+RFR+goKChM6dOwuCIAhisViIjo4WdHR0hDFjxhSbH5YvXy5Uq1ZNePnypaRt9+7dgoaGhpCSkiI5ZvXq1YWsrCxJn6VLlwoGBgZCYWGhIAivP6eGDx9eYl3nz58XAEjlpffBkVkALVq0wJUrVySP3377DQcPHkSrVq1Qs2ZNGBoa4rvvvkNaWhqys7Ml++nr66NOnTqS5xYWFrCzs4OBgYFU2/sMpf/xxx/w9PSEmZkZDAwMsHz5ciQmJkr1cXNzg7a2dplfg4jKLj4+HufOnUOPHj0AAFWqVEFgYCBWrFgh1a9x48Yy+3p6eko9v3r1Kg4fPgwDAwPJo169egCA27dvS/oVjewWsbKyknzO3Lx5EzY2NrC2tpZs9/b2lnntqKgo+Pj4wNLSEgYGBvjpp5+kPltu3ryJpk2bSu3z9nFSU1MREhICR0dHGBsbw8jICC9fvpT5jCKiirNr1y4YGBhAV1cX7du3R2BgoGRq0tv54ebNm3B3d0fVqlUlbT4+PhCLxYiPj5e0ubu7S13/4+3tjZcvXyIpKanYGi5evIhOnTqhdu3aMDQ0hK+vLwAo7bOi7FcafUCqVq0KBwcHyfN79+7hiy++wKBBgzBjxgxUr14dJ06cQL9+/ZCXlyf5BmppaUkdRyQSFdsmFovLVFdkZCTGjBmDefPmwdvbG4aGhpgzZw7Onj0rUz8RVYwVK1agoKBAKjwKggAdHR38/vvvkrbifk7fbnv58iU6deqEX3/9VaavlZWV5N/v+zlz+vRp9OrVC1OnToW/vz+MjY0RGRmJefPmyX0MAAgKCkJaWhoWLVoEW1tb6OjowNvbmxezEVUiLVq0wNKlS6GtrQ1ra2upi8zLIz8UTV3w9/fH+vXrYWZmhsTERPj7+yvts4JhthgXL16EWCzGvHnzoKHxevD67Xmq5eHkyZNo1qwZBg8eLGl7c3SGiCpWQUEB1qxZg3nz5qFt27ZS2wICArBx40bJyKo8GjVqhL///ht2dnZlXtXE2dkZSUlJSE5OlgTgM2fOSPU5deoUbG1tMWnSJEnb/fv3ZY5z9uxZ9O7dW9L29nFOnjyJJUuWoEOHDgCApKQkqYvViKjivT1gVxpnZ2dEREQgKytLEnRPnjwJDQ0NqQvMr169ipycHOjp6QF4/dlgYGAAGxsbmWPGxcUhLS0Ns2bNkmy/cOHC+56WFE4zKIaDgwPy8/OxePFi3LlzB2vXrkV4eHi51+Ho6IgLFy5g//79SEhIwM8//4zz58+Xex1EVLxdu3bh+fPn6NevH1xdXaUeX3/9tcxUg3cZMmQInj17hh49euD8+fO4ffs29u/fj+DgYKlVUUrTunVr1K1bF0FBQbh69SqOHz8uFVqB158tiYmJiIyMxO3bt/Hbb79h27ZtUn2GDx+OlStXYtWqVUhISEBoaCiuX78uc5y1a9fi5s2bOHv2LHr16iX5nxsRqZ9evXpBV1cXQUFBiI2NxeHDh/HDDz/gu+++g4WFhaRfXl4e+vXrhxs3bmDPnj0IDQ3F0KFDJQOAb6pduza0tbUlmeqff/5R+hq0DLPFcHd3x/z58/Hrr7/C1dUV69evR1hYWLnXMWDAAHTp0gWBgYFo2rQp0tLSpEZpiahirVixAq1bt4axsbHMtq+//hoXLlzAtWvX5D6etbU1Tp48icLCQrRt2xZubm4YMWIETExMiv2fRHE0NDSwbds25OTkwMvLC/3798eMGTOk+nz55ZcYOXIkhg4dCg8PD5w6dQo///yzVJ/AwED8/PPPGDduHDw9PXH//n0MGjRI5vyfP3+ORo0a4bvvvsOwYcNgbm4u9/kSUeWir6+P/fv349mzZ2jSpAm6du2KVq1aSU2ZAoBWrVrB0dERzZs3R2BgIL788kuZJQKLmJmZISIiAps3b4aLiwtmzZqFuXPnKrVukSC8tX4MEREREVEx+vTpg/T09Pe+PbYycWSWiIiIiNQWwywRERERqS1OMyAiIiIitcWRWSIiIiJSWwyzRERERKS2GGaJiIiISG0xzBIRERGR2mKYJSKSw5EjRyASiZCenl7RpUj4+flhxIgRcvfv06cPAgICVFZPkSlTpsDDw0Plr0NEBABlu/k3EdEHzs/PDx4eHli4cCEAoFmzZkhOTi72bl8VZevWrdDS0pK7/6JFi8AFbIjoQ8MwS0QkB21tbVhaWlZ0GVKqV6+uUP/KFMSJiJSF0wyIiN7Sp08fHD16FIsWLYJIJIJIJEJERITUNIOIiAiYmJhg+/btcHR0hK6uLvz9/ZGUlCR1rKVLl6JOnTrQ1taGk5MT1q5dK1cNPXv2RGBgoFRbfn4+TE1NsWbNGgDS0wx+/PFHNG3aVOY47u7umDZtmuS83pxmIBaLERYWBnt7e+jp6cHd3R1btmyRbC+aWhETE4PGjRtDX18fzZo1Q3x8vNRrzJo1CxYWFjA0NES/fv3w6tUrqe3nz59HmzZtYGpqCmNjY/j6+uLSpUtyfR2IiN6FYZaI6C2LFi2Ct7c3QkJCkJycjOTkZNjY2Mj0y87OxowZM7BmzRqcPHkS6enp6N69u2T7tm3bMHz4cIwePRqxsbEYMGAAgoODcfjw4XfW0KtXL+zcuRMvX76UtO3fvx/Z2dn46quviu1/7tw53L59W9J2/fp1XLt2DT179iz2NcLCwrBmzRqEh4fj+vXrGDlyJL799lscPXpUqt+kSZMwb948XLhwAVWqVEHfvn0l2zZt2oQpU6Zg5syZuHDhAqysrLBkyRKp/V+8eIGgoCCcOHECZ86cgaOjIzp06IAXL1688+tARPROAhERyfD19RWGDx8ueX748GEBgPD8+XNBEARh1apVAgDhzJkzkj43b94UAAhnz54VBEEQmjVrJoSEhEgd95tvvhE6dOjwztfPz88XTE1NhTVr1kjaevToIQQGBpZYo7u7uzBt2jTJ84kTJwpNmzaVPA8KChI6d+4sCIIgvHr1StDX1xdOnTol9br9+vUTevToIXXOBw8elGzfvXu3AEDIyckRBEEQvL29hcGDB0sdo2nTpoK7u3uJ51ZYWCgYGhoKO3fufMdXgYjo3TgyS0RURlWqVEGTJk0kz+vVqwcTExPcvHkTAHDz5k34+PhI7ePj4yPZ/q5jd+vWDevXrwcAZGVlYceOHejVq1eJ+/Tq1QsbNmwAAAiCgI0bN5bY/9atW8jOzkabNm1gYGAgeaxZs0ZqdBcAGjRoIPm3lZUVAODx48eSc3x7eoO3t7fU89TUVISEhMDR0RHGxsYwMjLCy5cvkZiY+M6vAxHRu/ACMCKiSqpXr17w9fXF48ePER0dDT09PbRr167E/j169MD48eNx6dIl5OTkICkpSWbebZGi6Qu7d+9GzZo1pbbp6OhIPX9zxQSRSATg9XxbeQUFBSEtLQ2LFi2Cra0tdHR04O3tjby8PLmPQURUEo7MEhEVQ1tbG4WFhaX2KSgowIULFyTP4+PjkZ6eDmdnZwCAs7MzTp48KbXPyZMn4eLiIlcNzZo1g42NDaKiorB+/Xp88803pS7FVatWLfj6+mL9+vVYv3492rRpA3Nz82L7uri4QEdHB4mJiXBwcJB6FDc/uCTOzs44e/asVNuZM2eknp88eRLDhg1Dhw4dUL9+fejo6ODp06dyvwYRUWk4MktEVAw7OzucPXsW9+7dg4GBQbEjkVpaWvjhhx/w22+/oUqVKhg6dCg+/fRTeHl5AQDGjh2Lbt26oWHDhmjdujV27tyJrVu34uDBg3LX0bNnT4SHhyMhIUHuC8dCQ0ORl5eHBQsWlNjP0NAQY8aMwciRIyEWi/HZZ58hIyMDJ0+ehJGREYKCguSqb/jw4ejTpw8aN24MHx8frF+/HtevX8cnn3wi6ePo6Ii1a9eicePGyMzMxNixY6GnpyfX8YmI3oUjs0RExRgzZgw0NTXh4uICMzOzYud36uvrY/z48ejZsyd8fHxgYGCAqKgoyfaAgAAsWrQIc+fORf369bFs2TKsWrUKfn5+ctfRq1cv3LhxAzVr1pSZf1ucrl27Ii0tDdnZ2e+829cvv/yCn3/+GWFhYXB2dka7du2we/du2Nvby11fYGAgfv75Z4wbNw6enp64f/8+Bg0aJNVnxYoVeP78ORo1aoTvvvsOw4YNK3HEmIhIUSJB4O1giIgUFRERgREjRlSq29sSEX2MODJLRERERGqLYZaIqAKsX79eakmsNx/169ev6PKIiNQGpxkQEVWAFy9eIDU1tdhtWlpasLW1LeeKiIjUE8MsEREREaktTjMgIiIiIrXFMEtEREREaothloiIiIjUFsMsEREREakthlkiIiIiUlsMs0RERESkthhmiYiIiEhtMcwSERERkdr6P3+QVs4WlTxbAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'tipo_vivienda', y_lim_sup=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Existe una leve tendencia a que las personas con casa propia sean mejores clientes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 25. Tipo de Contrato"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'tipo_contrato', y_lim_sup=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 26. Aportes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data = df, \n",
    "    x = 'aportes', \n",
    "    y = 'clase', \n",
    "    orient = 'h'\n",
    ")\n",
    "plt.title('Distribución de Aportes')\n",
    "plt.xlabel('aportes')\n",
    "plt.ylabel('Clase')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No se observa ninguna relación con la variable objetivo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 27. Numero de créditos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "def num_creditos(x):\n",
    "    if x == 1:\n",
    "        return '[1]'\n",
    "    elif x == 2 or x == 3:\n",
    "        return '[2,3]'\n",
    "    else: \n",
    "        return '[4+]'\n",
    "df['num_creditos_discreta'] = df['numero_creditos'].map(num_creditos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'num_creditos_discreta', y_lim_sup=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 28. Antiguedad Entidad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['antiguedad_entidad_discreta'] = df['antiguedad_entidad'].map(num_creditos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generate_lollipop(df, 'antiguedad_entidad_discreta', y_lim_sup= 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El 30% de la población lleva menos de un año en la entidad y solo el 0.6% son malos clientes, de manera que, este es el segmento con mayor probabilidad de buena paga"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Análisis Multivariado Inicial"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Con el fin de confirmar algunas de las suposiciones conjeturadas a partir de los gráficos de dos variables, implementaremos un análisis de regresión logística para ver la correlación de las variables con la variable objetivo. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "nominales = ['oficina', 'ocupacion', 'estado_civil', 'sexo']\n",
    "ordinales = ['edad_deciles', 'nivel_educativo', 'personas_discreta', 'num_creditos_discreta', 'antiguedad_entidad_discreta']\n",
    "categoricas = nominales + ordinales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "enteras = ['tiempo_desembolso', 'plazo', 'forma_de_pago', 'estrato' ]\n",
    "continuas = ['monto', 'saldo', 'tasa', 'cuota', 'ingreso_total', 'egreso_total']\n",
    "numericas = enteras + continuas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "objetivo = ['clase']\n",
    "df_modelo = df[categoricas + numericas + objetivo]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>oficina</th>\n",
       "      <th>ocupacion</th>\n",
       "      <th>estado_civil</th>\n",
       "      <th>sexo</th>\n",
       "      <th>edad_deciles</th>\n",
       "      <th>nivel_educativo</th>\n",
       "      <th>personas_discreta</th>\n",
       "      <th>num_creditos_discreta</th>\n",
       "      <th>antiguedad_entidad_discreta</th>\n",
       "      <th>tiempo_desembolso</th>\n",
       "      <th>plazo</th>\n",
       "      <th>forma_de_pago</th>\n",
       "      <th>estrato</th>\n",
       "      <th>monto</th>\n",
       "      <th>saldo</th>\n",
       "      <th>tasa</th>\n",
       "      <th>cuota</th>\n",
       "      <th>ingreso_total</th>\n",
       "      <th>egreso_total</th>\n",
       "      <th>clase</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Santa Fe</td>\n",
       "      <td>Empleado</td>\n",
       "      <td>Unión Libre</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>(27.0, 31.0]</td>\n",
       "      <td>Bachillerato</td>\n",
       "      <td>[0]</td>\n",
       "      <td>[1]</td>\n",
       "      <td>[4+]</td>\n",
       "      <td>63</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>411775.0</td>\n",
       "      <td>3.1667</td>\n",
       "      <td>36868</td>\n",
       "      <td>372315.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Usaquen</td>\n",
       "      <td>Empleado</td>\n",
       "      <td>Soltero</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>(37.0, 40.0]</td>\n",
       "      <td>Bachillerato</td>\n",
       "      <td>[0]</td>\n",
       "      <td>[1]</td>\n",
       "      <td>[4+]</td>\n",
       "      <td>65</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2000000.0</td>\n",
       "      <td>1563604.0</td>\n",
       "      <td>3.2083</td>\n",
       "      <td>120761</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chapinero</td>\n",
       "      <td>Empleado</td>\n",
       "      <td>Soltero</td>\n",
       "      <td>Femenino</td>\n",
       "      <td>(51.0, 57.0]</td>\n",
       "      <td>Técnico</td>\n",
       "      <td>[0]</td>\n",
       "      <td>[1]</td>\n",
       "      <td>[4+]</td>\n",
       "      <td>60</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>800000.0</td>\n",
       "      <td>658843.0</td>\n",
       "      <td>3.1667</td>\n",
       "      <td>58990</td>\n",
       "      <td>800000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Santa Fe</td>\n",
       "      <td>Empleado</td>\n",
       "      <td>Casado</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>(27.0, 31.0]</td>\n",
       "      <td>Bachillerato</td>\n",
       "      <td>[0]</td>\n",
       "      <td>[1]</td>\n",
       "      <td>[4+]</td>\n",
       "      <td>57</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>800000.0</td>\n",
       "      <td>744568.0</td>\n",
       "      <td>3.2083</td>\n",
       "      <td>52945</td>\n",
       "      <td>325000.0</td>\n",
       "      <td>80000.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chapinero</td>\n",
       "      <td>Independiente</td>\n",
       "      <td>Casado</td>\n",
       "      <td>Masculino</td>\n",
       "      <td>(43.0, 47.0]</td>\n",
       "      <td>Universitario</td>\n",
       "      <td>[1,2]</td>\n",
       "      <td>[1]</td>\n",
       "      <td>[4+]</td>\n",
       "      <td>58</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>14153655.0</td>\n",
       "      <td>13567368.0</td>\n",
       "      <td>2.8750</td>\n",
       "      <td>547318</td>\n",
       "      <td>2500000.0</td>\n",
       "      <td>1500000.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     oficina      ocupacion estado_civil       sexo  edad_deciles  \\\n",
       "0   Santa Fe       Empleado  Unión Libre  Masculino  (27.0, 31.0]   \n",
       "1    Usaquen       Empleado      Soltero  Masculino  (37.0, 40.0]   \n",
       "2  Chapinero       Empleado      Soltero   Femenino  (51.0, 57.0]   \n",
       "3   Santa Fe       Empleado       Casado  Masculino  (27.0, 31.0]   \n",
       "4  Chapinero  Independiente       Casado  Masculino  (43.0, 47.0]   \n",
       "\n",
       "  nivel_educativo personas_discreta num_creditos_discreta  \\\n",
       "0    Bachillerato               [0]                   [1]   \n",
       "1    Bachillerato               [0]                   [1]   \n",
       "2         Técnico               [0]                   [1]   \n",
       "3    Bachillerato               [0]                   [1]   \n",
       "4   Universitario             [1,2]                   [1]   \n",
       "\n",
       "  antiguedad_entidad_discreta  tiempo_desembolso  plazo  forma_de_pago  \\\n",
       "0                        [4+]                 63     18              1   \n",
       "1                        [4+]                 65     24              1   \n",
       "2                        [4+]                 60     18              1   \n",
       "3                        [4+]                 57     21              1   \n",
       "4                        [4+]                 58     48              1   \n",
       "\n",
       "   estrato       monto       saldo    tasa   cuota  ingreso_total  \\\n",
       "0        3    500000.0    411775.0  3.1667   36868       372315.0   \n",
       "1        2   2000000.0   1563604.0  3.2083  120761       900000.0   \n",
       "2        4    800000.0    658843.0  3.1667   58990       800000.0   \n",
       "3        3    800000.0    744568.0  3.2083   52945       325000.0   \n",
       "4        5  14153655.0  13567368.0  2.8750  547318      2500000.0   \n",
       "\n",
       "   egreso_total  clase  \n",
       "0           0.0      1  \n",
       "1           0.0      1  \n",
       "2           0.0      1  \n",
       "3       80000.0      1  \n",
       "4     1500000.0      1  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_modelo.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Codificación de variables ordinales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_modelo.loc[:,ordinales] = df[ordinales].fillna('-1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Mapeos para la codificación\n",
    "ordinal_mapping =  [\n",
    "    {'col': 'nivel_educativo', 'mapping': {'-1': -1, 'Ninguno': 0, 'Primaria': 1, 'Bachillerato': 2, 'Tecnico': 3, 'Tecnologico': 4, 'Universitario': 5, 'Posgrado': 6}},\n",
    "    {'col': 'personas_discreta', 'mapping': {'-1': -1, '0': 0, '[1,2]': 1, '[3+]': 2}},\n",
    "    {'col': 'num_creditos_discreta', 'mapping': {'-1': -1, '1': 1, '[2,3]': 2, '[4+]': 3}},\n",
    "    {'col': 'antiguedad_entidad_discreta', 'mapping': {'-1': -1, '1': 1, '[2,3]': 2, '[4+]': 3}},\n",
    "    {'col': 'edad_deciles', 'mapping': None}\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Codificar variables ordinales usando enteros consecutivos y preservando el orden natural\n",
    "ordinal_encoder = OrdinalEncoder(cols=ordinales, mapping=ordinal_mapping)\n",
    "df_modelo = ordinal_encoder.fit_transform(df_modelo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>edad_deciles</th>\n",
       "      <th>nivel_educativo</th>\n",
       "      <th>personas_discreta</th>\n",
       "      <th>num_creditos_discreta</th>\n",
       "      <th>antiguedad_entidad_discreta</th>\n",
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       "    <tr>\n",
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       "      <td>3.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-1.0</td>\n",
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       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24781</th>\n",
       "      <td>-1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24782</th>\n",
       "      <td>-1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24783</th>\n",
       "      <td>-1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24784</th>\n",
       "      <td>-1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24785</th>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24786 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       edad_deciles  nivel_educativo  personas_discreta  \\\n",
       "0              -1.0              2.0               -1.0   \n",
       "1              -1.0              2.0               -1.0   \n",
       "2              -1.0             -1.0               -1.0   \n",
       "3              -1.0              2.0               -1.0   \n",
       "4              -1.0              5.0                1.0   \n",
       "...             ...              ...                ...   \n",
       "24781          -1.0              2.0                2.0   \n",
       "24782          -1.0              5.0                1.0   \n",
       "24783          -1.0              5.0               -1.0   \n",
       "24784          -1.0              2.0               -1.0   \n",
       "24785          -1.0             -1.0                1.0   \n",
       "\n",
       "       num_creditos_discreta  antiguedad_entidad_discreta  \n",
       "0                       -1.0                          3.0  \n",
       "1                       -1.0                          3.0  \n",
       "2                       -1.0                          3.0  \n",
       "3                       -1.0                          3.0  \n",
       "4                       -1.0                          3.0  \n",
       "...                      ...                          ...  \n",
       "24781                   -1.0                          2.0  \n",
       "24782                    2.0                          3.0  \n",
       "24783                    2.0                          3.0  \n",
       "24784                   -1.0                         -1.0  \n",
       "24785                   -1.0                         -1.0  \n",
       "\n",
       "[24786 rows x 5 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_modelo[ordinales]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Codificación de Variables Nominales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Codificar variables nominales usando variables dummy\n",
    "onehot_encoder = OneHotEncoder(cols=nominales)\n",
    "df_modelo = onehot_encoder.fit_transform(df_modelo)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Análisis de Regresión"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Variables ordinales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.078137\n",
      "         Iterations 9\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                  clase   No. Observations:                24786\n",
      "Model:                          Logit   Df Residuals:                    24781\n",
      "Method:                           MLE   Df Model:                            4\n",
      "Date:                Tue, 12 Mar 2024   Pseudo R-squ.:                  0.1422\n",
      "Time:                        12:30:56   Log-Likelihood:                -1936.7\n",
      "converged:                       True   LL-Null:                       -2257.8\n",
      "Covariance Type:            nonrobust   LLR p-value:                1.107e-137\n",
      "===============================================================================================\n",
      "                                  coef    std err          z      P>|z|      [0.025      0.975]\n",
      "-----------------------------------------------------------------------------------------------\n",
      "edad_deciles                    4.7515      0.112     42.345      0.000       4.532       4.971\n",
      "nivel_educativo                -0.0407      0.024     -1.701      0.089      -0.088       0.006\n",
      "personas_discreta              -0.7031      0.052    -13.630      0.000      -0.804      -0.602\n",
      "num_creditos_discreta          -0.5493      0.034    -16.320      0.000      -0.615      -0.483\n",
      "antiguedad_entidad_discreta     0.6561      0.045     14.434      0.000       0.567       0.745\n",
      "===============================================================================================\n"
     ]
    }
   ],
   "source": [
    "# Se definen las variables explicativas y la variable objetivo\n",
    "X = df_modelo[ordinales]\n",
    "y = df_modelo[objetivo]\n",
    "\n",
    "# Se ajusta una regresión logística\n",
    "log_reg = sm.Logit(y, X).fit()\n",
    "\n",
    "# Resumen de la regresión\n",
    "print(log_reg.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Variables nominales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Maximum number of iterations has been exceeded.\n",
      "         Current function value: 0.088704\n",
      "         Iterations: 35\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                  clase   No. Observations:                24786\n",
      "Model:                          Logit   Df Residuals:                    24762\n",
      "Method:                           MLE   Df Model:                           23\n",
      "Date:                Tue, 12 Mar 2024   Pseudo R-squ.:                 0.02622\n",
      "Time:                        12:30:57   Log-Likelihood:                -2198.6\n",
      "converged:                      False   LL-Null:                       -2257.8\n",
      "Covariance Type:            nonrobust   LLR p-value:                 8.010e-15\n",
      "==================================================================================\n",
      "                     coef    std err          z      P>|z|      [0.025      0.975]\n",
      "----------------------------------------------------------------------------------\n",
      "oficina_1         -0.8911        nan        nan        nan         nan         nan\n",
      "oficina_2         -1.0042        nan        nan        nan         nan         nan\n",
      "oficina_3         -0.7723        nan        nan        nan         nan         nan\n",
      "oficina_4         -1.2996        nan        nan        nan         nan         nan\n",
      "oficina_5         -1.2849        nan        nan        nan         nan         nan\n",
      "oficina_6         -1.2272        nan        nan        nan         nan         nan\n",
      "oficina_7         -1.2850        nan        nan        nan         nan         nan\n",
      "oficina_8         -1.6411        nan        nan        nan         nan         nan\n",
      "oficina_9         -0.8845        nan        nan        nan         nan         nan\n",
      "ocupacion_1        0.8657    1.6e+06    5.4e-07      1.000   -3.14e+06    3.14e+06\n",
      "ocupacion_2        1.0571   1.57e+06   6.72e-07      1.000   -3.08e+06    3.08e+06\n",
      "ocupacion_3        1.9979   1.66e+06   1.21e-06      1.000   -3.25e+06    3.25e+06\n",
      "ocupacion_4        1.7169   1.65e+06   1.04e-06      1.000   -3.23e+06    3.23e+06\n",
      "ocupacion_5       -0.2087   1.51e+06  -1.38e-07      1.000   -2.96e+06    2.96e+06\n",
      "ocupacion_6       -0.4934   1.55e+06  -3.19e-07      1.000   -3.03e+06    3.03e+06\n",
      "ocupacion_7      -15.2253    1.7e+06  -8.97e-06      1.000   -3.33e+06    3.33e+06\n",
      "estado_civil_1     1.2729        nan        nan        nan         nan         nan\n",
      "estado_civil_2     1.6885        nan        nan        nan         nan         nan\n",
      "estado_civil_3     1.0599        nan        nan        nan         nan         nan\n",
      "estado_civil_4     1.4487        nan        nan        nan         nan         nan\n",
      "estado_civil_5     1.6842        nan        nan        nan         nan         nan\n",
      "estado_civil_6   -17.4441        nan        nan        nan         nan         nan\n",
      "sexo_1            -4.9078        nan        nan        nan         nan         nan\n",
      "sexo_2            -5.3821        nan        nan        nan         nan         nan\n",
      "==================================================================================\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\USUARIO\\Documents\\Pruebas Tecnicas\\myenv\\lib\\site-packages\\statsmodels\\base\\model.py:607: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
      "  warnings.warn(\"Maximum Likelihood optimization failed to \"\n"
     ]
    }
   ],
   "source": [
    "# Se definen las variables explicativas y la variable objetivo\n",
    "X = df_modelo.drop(columns = ordinales + numericas + objetivo)\n",
    "y = df_modelo[objetivo]\n",
    "\n",
    "# Se ajusta una regresión logística\n",
    "log_reg = sm.Logit(y, X).fit()\n",
    "\n",
    "# Resumen de la regresión\n",
    "print(log_reg.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No obtenemos ninguna conclusión con este test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Variables Numéricas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.032760\n",
      "         Iterations 11\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                  clase   No. Observations:                24786\n",
      "Model:                          Logit   Df Residuals:                    24776\n",
      "Method:                           MLE   Df Model:                            9\n",
      "Date:                Tue, 12 Mar 2024   Pseudo R-squ.:                  0.6404\n",
      "Time:                        12:30:57   Log-Likelihood:                -812.00\n",
      "converged:                       True   LL-Null:                       -2257.8\n",
      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
      "=====================================================================================\n",
      "                        coef    std err          z      P>|z|      [0.025      0.975]\n",
      "-------------------------------------------------------------------------------------\n",
      "tiempo_desembolso     0.6107      0.023     26.197      0.000       0.565       0.656\n",
      "plazo                -0.2451      0.013    -19.105      0.000      -0.270      -0.220\n",
      "forma_de_pago        -1.1309      0.507     -2.231      0.026      -2.125      -0.137\n",
      "estrato              -0.0001      0.101     -0.001      0.999      -0.197       0.197\n",
      "monto             -4.874e-06   2.49e-07    -19.579      0.000   -5.36e-06   -4.39e-06\n",
      "saldo              4.857e-06   2.28e-07     21.339      0.000    4.41e-06     5.3e-06\n",
      "tasa                 -1.5351      0.279     -5.506      0.000      -2.082      -0.989\n",
      "cuota              2.114e-05   2.44e-06      8.654      0.000    1.64e-05    2.59e-05\n",
      "ingreso_total      5.134e-07   1.43e-07      3.599      0.000    2.34e-07    7.93e-07\n",
      "egreso_total      -5.592e-06   5.11e-07    -10.943      0.000   -6.59e-06   -4.59e-06\n",
      "=====================================================================================\n",
      "\n",
      "Possibly complete quasi-separation: A fraction 0.33 of observations can be\n",
      "perfectly predicted. This might indicate that there is complete\n",
      "quasi-separation. In this case some parameters will not be identified.\n"
     ]
    }
   ],
   "source": [
    "# Se definen las variables explicativas y la variable objetivo\n",
    "X = df_modelo[numericas]\n",
    "y = df_modelo[objetivo]\n",
    "\n",
    "# Se ajusta una regresión logística\n",
    "log_reg = sm.Logit(y, X).fit()\n",
    "\n",
    "# Resumen de la regresión\n",
    "print(log_reg.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exportación"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>oficina_1</th>\n",
       "      <th>oficina_2</th>\n",
       "      <th>oficina_3</th>\n",
       "      <th>oficina_4</th>\n",
       "      <th>oficina_5</th>\n",
       "      <th>oficina_6</th>\n",
       "      <th>oficina_7</th>\n",
       "      <th>oficina_8</th>\n",
       "      <th>oficina_9</th>\n",
       "      <th>ocupacion_1</th>\n",
       "      <th>...</th>\n",
       "      <th>plazo</th>\n",
       "      <th>forma_de_pago</th>\n",
       "      <th>estrato</th>\n",
       "      <th>monto</th>\n",
       "      <th>saldo</th>\n",
       "      <th>tasa</th>\n",
       "      <th>cuota</th>\n",
       "      <th>ingreso_total</th>\n",
       "      <th>egreso_total</th>\n",
       "      <th>clase</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>2000000.0</td>\n",
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       "      <td>900000.0</td>\n",
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       "    <tr>\n",
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       "      <td>800000.0</td>\n",
       "      <td>658843.0</td>\n",
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       "      <td>58990</td>\n",
       "      <td>800000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
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       "      <td>52945</td>\n",
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       "      <td>547318</td>\n",
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       "      <td>1500000.0</td>\n",
       "      <td>1</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   oficina_1  oficina_2  oficina_3  oficina_4  oficina_5  oficina_6  \\\n",
       "0          1          0          0          0          0          0   \n",
       "1          0          1          0          0          0          0   \n",
       "2          0          0          1          0          0          0   \n",
       "3          1          0          0          0          0          0   \n",
       "4          0          0          1          0          0          0   \n",
       "\n",
       "   oficina_7  oficina_8  oficina_9  ocupacion_1  ...  plazo  forma_de_pago  \\\n",
       "0          0          0          0            1  ...     18              1   \n",
       "1          0          0          0            1  ...     24              1   \n",
       "2          0          0          0            1  ...     18              1   \n",
       "3          0          0          0            1  ...     21              1   \n",
       "4          0          0          0            0  ...     48              1   \n",
       "\n",
       "   estrato       monto       saldo    tasa   cuota  ingreso_total  \\\n",
       "0        3    500000.0    411775.0  3.1667   36868       372315.0   \n",
       "1        2   2000000.0   1563604.0  3.2083  120761       900000.0   \n",
       "2        4    800000.0    658843.0  3.1667   58990       800000.0   \n",
       "3        3    800000.0    744568.0  3.2083   52945       325000.0   \n",
       "4        5  14153655.0  13567368.0  2.8750  547318      2500000.0   \n",
       "\n",
       "   egreso_total  clase  \n",
       "0           0.0      1  \n",
       "1           0.0      1  \n",
       "2           0.0      1  \n",
       "3       80000.0      1  \n",
       "4     1500000.0      1  \n",
       "\n",
       "[5 rows x 40 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_modelo.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_modelo.to_csv('data/intermediate/df_modelo.csv', index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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