data_exploration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Análisis Exploratorio de Datos (EDA)\n",
    "\n",
    "En este notebook realizamos un análisis exploratorio de datos (EDA) sobre un conjunto de datos con el objetivo de clasificar transacciones en fraude y no fraude. El análisis incluye:\n",
    "* inspección de las características más relevantes del dataframe\n",
    "* tratamiento de valores faltantes\n",
    "* exploración de la distribución de las variables numéricas y categóricas\n",
    "* se identifican posibles problemas de desbalance de clases\n",
    "* se evalúan transformaciones necesarias para mejorar la calidad del modelo de clasificación \n",
    "\n",
    "El objetivo es obtener una visión clara de los datos antes de aplicar algoritmos de clasificación."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv( \"MELI-Dataset.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(150000, 19)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>a</th>\n",
       "      <th>b</th>\n",
       "      <th>c</th>\n",
       "      <th>d</th>\n",
       "      <th>e</th>\n",
       "      <th>f</th>\n",
       "      <th>g</th>\n",
       "      <th>h</th>\n",
       "      <th>j</th>\n",
       "      <th>k</th>\n",
       "      <th>l</th>\n",
       "      <th>m</th>\n",
       "      <th>n</th>\n",
       "      <th>o</th>\n",
       "      <th>p</th>\n",
       "      <th>fecha</th>\n",
       "      <th>monto</th>\n",
       "      <th>score</th>\n",
       "      <th>fraude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>0.6812</td>\n",
       "      <td>50084.12</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>20.0</td>\n",
       "      <td>AR</td>\n",
       "      <td>1</td>\n",
       "      <td>cat_d26ab52</td>\n",
       "      <td>0.365475</td>\n",
       "      <td>2479.0</td>\n",
       "      <td>952.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Y</td>\n",
       "      <td>2020-03-20 09:28:19</td>\n",
       "      <td>57.63</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>0.6694</td>\n",
       "      <td>66005.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>AR</td>\n",
       "      <td>1</td>\n",
       "      <td>cat_ea962fb</td>\n",
       "      <td>0.612728</td>\n",
       "      <td>2603.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>2020-03-09 13:58:28</td>\n",
       "      <td>40.19</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>0.4718</td>\n",
       "      <td>7059.05</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.463488</td>\n",
       "      <td>92.0</td>\n",
       "      <td>BR</td>\n",
       "      <td>25</td>\n",
       "      <td>cat_4c2544e</td>\n",
       "      <td>0.651835</td>\n",
       "      <td>2153.0</td>\n",
       "      <td>249.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>2020-04-08 12:25:55</td>\n",
       "      <td>5.77</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0.7260</td>\n",
       "      <td>10043.10</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.046845</td>\n",
       "      <td>43.0</td>\n",
       "      <td>BR</td>\n",
       "      <td>43</td>\n",
       "      <td>cat_1b59ee3</td>\n",
       "      <td>0.692728</td>\n",
       "      <td>4845.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>1</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>2020-03-14 11:46:13</td>\n",
       "      <td>40.89</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>0.7758</td>\n",
       "      <td>16584.42</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.154616</td>\n",
       "      <td>54.0</td>\n",
       "      <td>BR</td>\n",
       "      <td>0</td>\n",
       "      <td>cat_9bacaa5</td>\n",
       "      <td>0.201354</td>\n",
       "      <td>2856.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>2020-03-23 14:17:13</td>\n",
       "      <td>18.98</td>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   a       b         c     d         e     f   g   h            j         k  \\\n",
       "0  4  0.6812  50084.12  50.0  0.000000  20.0  AR   1  cat_d26ab52  0.365475   \n",
       "1  4  0.6694  66005.49   0.0  0.000000   2.0  AR   1  cat_ea962fb  0.612728   \n",
       "2  4  0.4718   7059.05   4.0  0.463488  92.0  BR  25  cat_4c2544e  0.651835   \n",
       "3  4  0.7260  10043.10  24.0  0.046845  43.0  BR  43  cat_1b59ee3  0.692728   \n",
       "4  4  0.7758  16584.42   2.0  0.154616  54.0  BR   0  cat_9bacaa5  0.201354   \n",
       "\n",
       "        l      m  n    o  p                fecha  monto  score  fraude  \n",
       "0  2479.0  952.0  1  NaN  Y  2020-03-20 09:28:19  57.63    100       0  \n",
       "1  2603.0  105.0  1    Y  Y  2020-03-09 13:58:28  40.19     25       0  \n",
       "2  2153.0  249.0  1    Y  Y  2020-04-08 12:25:55   5.77     23       0  \n",
       "3  4845.0  141.0  1    N  Y  2020-03-14 11:46:13  40.89     23       0  \n",
       "4  2856.0   18.0  1    Y  N  2020-03-23 14:17:13  18.98     71       0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a              0\n",
       "b          12984\n",
       "c          12984\n",
       "d            365\n",
       "e              0\n",
       "f             11\n",
       "g            194\n",
       "h              0\n",
       "j              0\n",
       "k              0\n",
       "l             11\n",
       "m            365\n",
       "n              0\n",
       "o         108857\n",
       "p              0\n",
       "fecha          0\n",
       "monto          0\n",
       "score          0\n",
       "fraude         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Crear un mapa de calor de valores nulos\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.heatmap(df.isnull(), cmap='viridis', cbar=False, yticklabels=False)\n",
    "plt.title(\"Visualización de valores nulos\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lo que podemos ver es que:\n",
    "* las features b y c tienen valores nulos para las mismas filas. \n",
    "* Lo mismo que las columnas d y m. \n",
    "* la columna o tiene más valores nulos que no nulos. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(0.7257133333333333)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.o.isnull().sum()/df.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El 72% de las instancias tienen un null value para la feature \"o\". "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tipo de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a           int64\n",
       "b         float64\n",
       "c         float64\n",
       "d         float64\n",
       "e         float64\n",
       "f         float64\n",
       "g          object\n",
       "h           int64\n",
       "j          object\n",
       "k         float64\n",
       "l         float64\n",
       "m         float64\n",
       "n           int64\n",
       "o          object\n",
       "p          object\n",
       "fecha      object\n",
       "monto     float64\n",
       "score       int64\n",
       "fraude      int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['fecha'] = pd.to_datetime(df['fecha']) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a              4\n",
       "b           7672\n",
       "c         135090\n",
       "d             51\n",
       "e          43208\n",
       "f           1338\n",
       "g             51\n",
       "h             59\n",
       "j           8324\n",
       "k         150000\n",
       "l           7297\n",
       "m           1793\n",
       "n              2\n",
       "o              2\n",
       "p              2\n",
       "fecha     145813\n",
       "monto      17831\n",
       "score        101\n",
       "fraude         2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* A la columna *d* voy a convertirla de float en int, ya que toma solo valores enteros y pocos (51).\n",
    "* A la columna *score* voy a convertirla en float, solo para poder incluirla en la categoria numerical y hacer el análisis posterior."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"d\"] = df[\"d\"].astype('Int64')\n",
    "df[\"score\"] = df[\"score\"].astype('float64')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Análisis Exploratorio de Variables Numéricas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Identificar columnas numéricas\n",
    "num_cols = df.select_dtypes(include=['float64']).columns\n",
    "\n",
    "# Definir el número de filas y columnas para plot\n",
    "n_cols = 3\n",
    "n_rows = math.ceil(len(num_cols) / n_cols)  \n",
    "\n",
    "\n",
    "fig, axes = plt.subplots(n_rows, n_cols, figsize=(15, 5 * n_rows))\n",
    "axes = axes.flatten()\n",
    "for i, col in enumerate(num_cols):\n",
    "    sns.histplot(df[col], bins=25, ax=axes[i])\n",
    "    axes[i].set_title(f'Distribución de {col}')\n",
    "    \n",
    "# Eliminar gráficos vacíos \n",
    "for i in range(len(num_cols), len(axes)):\n",
    "    fig.delaxes(axes[i])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Las columnas *c, e , f, monto* tienen distribucion de cola pesada."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(np.float64(0.16), np.float64(0.0), np.float64(-5.0), np.float64(0.02))"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.c.min(), df.e.min(), df.f.min(), df.monto.min()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Las columnas *c*, *e* y *monto* tienen valores positivos, por lo que  aplicaré una transformación logarítmica para reducir la asimetría y mejorar la modelización de los datos. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns_to_transform = ['c', 'e', 'monto']\n",
    "\n",
    "df[columns_to_transform] = df[columns_to_transform].apply(np.log1p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vuelvo a graficar las distribuciones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Identificar columnas numéricas\n",
    "num_cols = df.select_dtypes(include=['float64']).columns\n",
    "\n",
    "# Definir el número de filas y columnas para plot\n",
    "n_cols = 3\n",
    "n_rows = math.ceil(len(num_cols) / n_cols)  \n",
    "\n",
    "\n",
    "fig, axes = plt.subplots(n_rows, n_cols, figsize=(15, 5 * n_rows))\n",
    "axes = axes.flatten()\n",
    "for i, col in enumerate(num_cols):\n",
    "    sns.histplot(df[col], bins=25, ax=axes[i])\n",
    "    axes[i].set_title(f'Distribución de {col}')\n",
    "    \n",
    "# Eliminar gráficos vacíos \n",
    "for i in range(len(num_cols), len(axes)):\n",
    "    fig.delaxes(axes[i])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Se puede ver que ahora las distribuciones de *c*, *e* y *monto* (sobretodo *c* y *monto*) son un poco más simétricas y menos sesgadas. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Para la feature *f* (que tiene valores negativos) podria probar winsorizar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.008513333333333333"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.f<0].shape[0]/df.shape[0] # valores negativos representan el 0.9%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.stats.mstats import winsorize\n",
    "# Winsorización en el percentil 1% y 99% \n",
    "df['f_winsorized'] = winsorize(df['f'].copy(), inplace=False, limits=[0.01, 0.01])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(0.0)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['f_winsorized'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['f_winsorized'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['f'].hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Esta transformacion se tiene que fittear solo con el training set, por eso lo haremos despues. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df= df.drop(columns=\"f_winsorized\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Análisis de Variables Numéricas por Clase de Fraude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_cols = df.select_dtypes(include=['float64']).columns\n",
    "\n",
    "# Definir el número de filas y columnas para plot\n",
    "n_cols = 3\n",
    "n_rows = math.ceil(len(num_cols) / n_cols)  \n",
    "\n",
    "\n",
    "fig, axes = plt.subplots(n_rows, n_cols, figsize=(15, 5 * n_rows))\n",
    "axes = axes.flatten()\n",
    "\n",
    "# Filtrar los datos por los valores de fraude\n",
    "df_fraude_1 = df[df['fraude'] == 1]  # Datos donde fraude = 1\n",
    "df_fraude_0 = df[df['fraude'] == 0]  # Datos donde fraude = 0\n",
    "\n",
    "# Graficar distribuciones de las columnas numéricas para fraude = 1 y fraude = 0\n",
    "for i, col in enumerate(num_cols):\n",
    "    sns.histplot(df_fraude_0[col], bins=25, ax=axes[i], color='blue', kde=True, label='Fraude = 0', stat='density')\n",
    "    sns.histplot(df_fraude_1[col], bins=25, ax=axes[i], color='red', kde=True, label='Fraude = 1', stat='density')\n",
    "\n",
    "    axes[i].set_title(f'Distribución de {col}')\n",
    "    axes[i].legend()\n",
    "\n",
    "# Eliminar gráficos vacíos \n",
    "for i in range(len(num_cols), len(axes)):\n",
    "    fig.delaxes(axes[i])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vemos diferencias más marcadas en las distribuciones de *l*, *monto* y *score*."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Análisis Exploratorio de Variables Categóricas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_cols = df.select_dtypes(include=[\"int64\", 'object']).columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a            4\n",
       "d           51\n",
       "g           51\n",
       "h           59\n",
       "j         8324\n",
       "n            2\n",
       "p            2\n",
       "fraude       2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[cat_cols].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tengo categorias con pocas clases ( *a*, *n*, *p*, *fraude*), y otras con muchas clases (*d*, *g*, *h*, *j*). Para estas últimas al momento de crear el modelo aplicaremos un filtrado previo, asegurando que solo se conserven las categorías con un mínimo de ocurrencias.  \n",
    "\n",
    "### Para las categorias *a*, *n*, *p* (pocas clases) voy a ver si hay alguna separacion con *fraude*. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## *p* y *o*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1558.88x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_counts = df.groupby(['fraude', 'p', 'o']).size().reset_index(name='count')\n",
    "\n",
    "df_counts['normalized'] = df_counts.groupby(['o', 'p'])['count'].transform(lambda x: x / x.sum())\n",
    "\n",
    "g = sns.catplot(data=df_counts, x='o', hue='fraude', col='p', y='normalized', kind='bar', height=5, aspect=1.5)\n",
    "g.set_xticklabels(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Para *p*=N y *o*=N, la proporcion de fraudes es más alta (26% vs en el resto de los casos <13%). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "p  o  fraude\n",
       "N  N  0         0.735650\n",
       "      1         0.264350\n",
       "   Y  0         0.923649\n",
       "      1         0.076351\n",
       "Y  N  0         0.869390\n",
       "      1         0.130610\n",
       "   Y  0         0.941315\n",
       "      1         0.058685\n",
       "Name: proportion, dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby([\"p\", 'o'])[['fraude']].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## *o* y *n*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1558.88x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_counts = df.groupby(['fraude', 'o', 'n']).size().reset_index(name='count')\n",
    "\n",
    "df_counts['normalized'] = df_counts.groupby(['n', 'o'])['count'].transform(lambda x: x / x.sum())\n",
    "\n",
    "g = sns.catplot(data=df_counts, x='o', hue='fraude', col='n', y='normalized', kind='bar', height=5, aspect=1.5)\n",
    "g.set_xticklabels(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## *p* y *n*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1558.88x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_counts = df.groupby(['fraude', 'p', 'n']).size().reset_index(name='count')\n",
    "\n",
    "df_counts['normalized'] = df_counts.groupby(['n', 'p'])['count'].transform(lambda x: x / x.sum())\n",
    "\n",
    "g = sns.catplot(data=df_counts, x='n', hue='fraude', col='p', y='normalized', kind='bar', height=5, aspect=1.5)\n",
    "g.set_xticklabels(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Para *p*=N y *n*=0, la proporcion de fraudes es más alta (16% vs en el resto de los casos <8.6%). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "p  n  fraude\n",
       "N  0  0         0.837789\n",
       "      1         0.162211\n",
       "   1  0         0.947800\n",
       "      1         0.052200\n",
       "Y  0  0         0.913876\n",
       "      1         0.086124\n",
       "   1  0         0.971020\n",
       "      1         0.028980\n",
       "Name: proportion, dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby([\"p\", 'n'])[['fraude']].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## *a* y *n*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Vj1NIEAQAAKABwsA555yTA0Bab2B7qa9p5cxAtZGmFU1Tg9511105XKTxBhs3bqy6x8iRI3Nf1krp+TSbUBqvkEJAmnkoDSBOA4oBAIAG6CaUTJo0Kc4+++xYunRpXHXVVXW6x4gRI2Lt2rUxYcKE3NWnb9++MXfu3KpBxcuXL88zDFVKM1w8/vjjMXbs2Dj88MPz+gIpGPzoRz+q658BAACFVecwcNZZZ8XgwYPjq1/9arzwwgvxy1/+sk73ueCCC/JWk/nz5+9wLHUh+v3vf1+n1wIAAD5lN6E0gDg5+uij8/SiqR9/CgZpZWAAAKAJh4Ft27ZVPe7WrVteETitBHzKKafUZ9kAAIByCwNpTv/tpxFt27ZtPPzww7kvf1pzAAAAKH91GjOwswW+0qBiAACgiYWBRx99NL785S/nRb/S448bTzBs2LD6Kh8AAFDqMDB8+PA8/ef++++fH39cGKioqKiv8gEAAKUOA9uv+rv9YwAAoEADiAEAgAK1DNx88821vun3v//9upYHAAAotzBw00031eq8NGZAGAAAgCYUBt58883dWxIAAKBBGTMAAAAFVadFx5L//M//zOsNLF++PLZs2VLtualTp9ZH2QAAgHILA/PmzYszzjgjDjrooHj55ZejV69esWzZsti2bVsceeSR9V9KAACgPLoJjR8/Pi6++OJYunRptGnTJh588MFYsWJFHH/88fGNb3yj/ksJAACURxh46aWXYuTIkflxy5Yt4/3334+99947Jk+eHNddd119lxEAACiXMLDXXntVjRM44IAD4vXXX696bt26dfVXOgAAoLzGDBx99NGxYMGC6NGjR5x22mnxwx/+MHcZeuihh/JzAABAEw0Dabagd999Nz+eNGlSfjxr1qw45JBDzCQEAABNOQykWYS27zI0Y8aM+iwTAABQzusMVEqtAlu3bq12rF27dp/2tgAAQDkOIH7zzTfj9NNPz60C7du3j3322SdvHTp0yP8CAABNtGXgrLPOyguMzZw5Mzp16hTNmjWr/5IBAADlFwb++Mc/xuLFi+PQQw+t/xIBAADl203oqKOOyisOAwAABWsZuOOOO+L888+PlStXRq9evWKPPfao9vzhhx9eX+UDAADKKQysXbs2rzo8evToqmNp3EAaR5D+raioqM8yAgAA5RIG/vmf/zmOOOKIuO+++wwgBgCAIoWBv/zlL/Hoo4/GwQcfXP8lAgAAyncA8UknnZRnFAIAAArWMjBs2LAYO3ZsLF26NHr37r3DAOIzzjijvsoHAACUUxhIMwklkydP3uE5A4gBAKAJh4GtW7fWf0kAAIDyHjPwwQcfRMuWLeOFF17YPSUCAADKMwyk8QHdunXTFQgAAIo4m9AVV1wRl19+ebz11lv1Uojp06dH9+7do02bNjFw4MBYtGhRra67//778xiF4cOH10s5AACgSOo0ZuCWW26J1157LQ488MD43Oc+F3vttVe155csWVLre82aNSvGjRsXM2bMyEFg2rRpMXTo0HjllVdi//333+l1y5Yti4svvjiOO+64uvwJAABQeHUKA/X5S/zUqVNjzJgxMXr06LyfQsHs2bNj5syZcdlll9V4Teqi9E//9E8xadKkePrpp+Ptt9/e6f03b96ct0obNmyot7IDNAXqSYDiqlMYmDhxYr28+JYtW2Lx4sUxfvz4qmPNmzePIUOGxMKFC3d6XZrSNLUanHvuuTkMfJwpU6bk0ABAzdSTAMVVpzEDldIX+V/96ld5e+6553b5+nXr1uVf+Tt16lTteNpftWpVjdcsWLAgfvGLX8Ttt99eq9dIQWP9+vVV24oVK3a5nABNmXoSoLjq1DKwZs2a+OY3vxnz58+PDh065GOpq86JJ56YB/Xut99+sTu88847cfbZZ+cg0LFjx1pd07p167wBUDP1JEBx1all4MILL8xfzF988cU8o1Da0roDqZ/p97///VrfJ32hb9GiRaxevbra8bTfuXPnHc5//fXX88DhYcOG5bUO0nb33XfHo48+mh+n5wEAgN0YBubOnRu33npr9OjRo+pYz5498xShjz32WK3v06pVq+jXr1/Mmzev2urGaX/QoEE7nH/YYYfF0qVL4/nnn6/azjjjjNwikR537dq1Ln8OAAAUUp26CaUv7GnxsY9Kx9JzuyJNKzpq1Kjo379/DBgwIE8tunHjxqrZhUaOHBldunTJA9zSOgS9evWqdn1lN6WPHgcAAHZDGDjppJPioosuivvuuy+vNZCsXLkyxo4dGyeffPIu3WvEiBGxdu3amDBhQh403Ldv39zyUDmoePny5XmGIQAAoEwWHUvdc9KqwZVdc9KX9t69e+eZhXbVBRdckLeapEHKH+fOO+/c5dcDAADqGAZSAEirDKe+/S+99FI+lsYPpPUBAACAJhwGkt/85jd5S9OMpnECaZ2Be++9Nz+XVg8GAACaYBhIK1WmVYDToN8DDjggmjVrVv8lAwAAyi8MzJgxI/fVTwuAAQAAjVOdpunZsmVLDB48uP5LAwAAlHcYOO+886rGBwAAAAXqJrRp06a47bbb4sknn4zDDz98hwXIpk6dWl/lAwAAyikM/OlPf8qLgyUvvPBCtecMJgYAgCYcBp566qn6LwkAAFD+YwYAAIDGTxgAAICCEgYAAKCghAEAACgoYQAAAApKGAAAgIISBgAAoKCEAQAAKChhAAAACkoYAACAghIGAACgoIQBAAAoKGEAAAAKShgAAICCEgYAAKCghAEAACgoYQAAAAqqZakLAABNxfLJvaOIuk1YWuoiAHWkZQAAAApKGAAAgILSTYha0/wNANC0aBkAAICCEgYAAKCghAEAACgoYQAAAAqqLMLA9OnTo3v37tGmTZsYOHBgLFq0aKfn3n777XHcccfFPvvsk7chQ4Z87PkAAECZhoFZs2bFuHHjYuLEibFkyZLo06dPDB06NNasWVPj+fPnz48zzzwznnrqqVi4cGF07do1Tj311Fi5cmWDlx0AABqzkoeBqVOnxpgxY2L06NHRs2fPmDFjRrRt2zZmzpxZ4/n33HNPfPe7342+ffvGYYcdFnfccUds3bo15s2b1+BlBwCAxqyk6wxs2bIlFi9eHOPHj6861rx589z1J/3qXxvvvfdefPDBB7HvvvvW+PzmzZvzVmnDhg31UHKApkM9CVBcJW0ZWLduXVRUVESnTp2qHU/7q1atqtU9fvSjH8WBBx6YA0RNpkyZEu3bt6/aUrciAD6kngQorpJ3E/o0fvrTn8b9998fDz/8cB58XJPU6rB+/fqqbcWKFQ1eToBypp4EKK6SdhPq2LFjtGjRIlavXl3teNrv3Lnzx177L//yLzkMPPnkk3H44Yfv9LzWrVvnDYCaqScBiqukLQOtWrWKfv36VRv8WzkYeNCgQTu97vrrr4+rr7465s6dG/3792+g0gIAQNNS0paBJE0rOmrUqPylfsCAATFt2rTYuHFjnl0oGTlyZHTp0iX3aU2uu+66mDBhQtx77715bYLKsQV777133gAAgEYSBkaMGBFr167NX/DTF/s0ZWj6xb9yUPHy5cvzDEOVfv7zn+dZiL7+9a9Xu09ap+Cqq65q8PIDAEBjVfIwkFxwwQV529kiY9tbtmxZA5UKAACatkY9mxAAAFB3wgAAABSUMAAAAAUlDAAAQEEJAwAAUFDCAAAAFJQwAAAABSUMAABAQQkDAABQUMIAAAAUlDAAAAAFJQwAAEBBCQMAAFBQwgAAABSUMAAAAAUlDAAAQEEJAwAAUFDCAAAAFJQwAAAABSUMAABAQQkDAABQUMIAAAAUVMtSFwDgo5ZP7h1F1G3C0lIXAYCC0TIAAAAFJQwAAEBB6SYEANDI6E5JfdEyAAAABSUMAABAQQkDAABQUMIAAAAUlDAAAAAFJQwAAEBBCQMAAFBQwgAAABSUMAAAAAVVFmFg+vTp0b1792jTpk0MHDgwFi1a9LHn/9u//Vscdthh+fzevXvHnDlzGqysAADQVJQ8DMyaNSvGjRsXEydOjCVLlkSfPn1i6NChsWbNmhrPf+aZZ+LMM8+Mc889N5577rkYPnx43l544YUGLzsAADRmJQ8DU6dOjTFjxsTo0aOjZ8+eMWPGjGjbtm3MnDmzxvN/9rOfxZe+9KW45JJLokePHnH11VfHkUceGbfcckuDlx0AABqzlqV88S1btsTixYtj/PjxVceaN28eQ4YMiYULF9Z4TTqeWhK2l1oSHnnkkRrP37x5c94qrV+/Pv+7YcOGOpe7YvP7UUTv7FERRfRp3iuflvdasdTHe+0zn/lMNGvWbJeuUU/WH+/dhue9ViylqiebspKGgXXr1kVFRUV06tSp2vG0//LLL9d4zapVq2o8Px2vyZQpU2LSpEk7HO/ateunKnsR9YqCmtK+1CUoHO+1uktf5Nu1a7drL6uerDfeuzQU77WGrSebspKGgYaQWh22b0nYunVrvPXWW/HZz35WKtzFJJ6+GKxYscJ/IHYr77VP/4vXrlJP1g/vXRqK91rD15NNWUnDQMeOHaNFixaxevXqasfTfufOnWu8Jh3flfNbt26dt+116NDhU5e9qFKlo+KhIXivNRz1ZP3y3qWheK/R6AcQt2rVKvr16xfz5s2r9otU2h80aFCN16Tj25+fPPHEEzs9HwAAKNNuQqlpetSoUdG/f/8YMGBATJs2LTZu3JhnF0pGjhwZXbp0yX1ak4suuiiOP/74uPHGG+P000+P+++/P5599tm47bbbSvyXAABA41LyMDBixIhYu3ZtTJgwIQ8C7tu3b8ydO7dqkPDy5cvzDEOVBg8eHPfee2/8+Mc/jssvvzwOOeSQPJNQr16FHUrTIFIXgrQWxEe7EkB9816jsfLepaF4r1Gfmm3btm1bvd4RAABoFEq+6BgAAJSjbdu2xbe//e3Yd9998+xqzz//fIO+/jnnnBPDhw9v2t2EAACgHM2dOzfuvPPOmD9/fhx00EF5JsymRhgAAIAavP7663HAAQfkMas12bJlS54dszHTTQgAAGroonPhhRfmyWxSF6Hu3bvHCSecEBdccEH84Ac/yK0EQ4cOzedOnTo1evfuHXvttVdeEO673/1uvPvuu1X3uuqqq/IkOdtLM2ime1aqqKjIs2ymdV7Soo+XXnpp7qa0vTQFf5ph8/Of/3zsueee0adPn3jggQfi0xAGAADgI372s5/F5MmT47/8l/8Sf/vb3+I//uM/8vG77rortwb87//9v2PGjBn5WJr58uabb44XX3wxP/+b3/wmf5nfFWna/NQlaebMmbFgwYK8EvzDDz9c7ZwUBO6+++78uum1xo4dG2eddVb89re/jbrSTQgAAD6iffv28ZnPfCZatGgRnTt3rjqeprW//vrrq52bWgoqpV/7f/KTn8T5558ft956a9RWaikYP358fO1rX8v76Qv/448/XvX85s2b49prr40nn3yyarHdNI4hBYf//t//e16Hqy6EAQAAqKV+/frtcCx9QU+/2r/88suxYcOG+H//7//Fpk2b4r333ou2bdt+4j3Xr1+fWx8GDhxYdaxly5Z5Ud7KrkKvvfZavt8pp5yyw7iFI444IupKGAAAgFpK4wK2t2zZsvjKV74S3/nOd+Kaa67J05CmX+vPPffc/EU9hYHUjeij/f8/+OCD2BWVYxBmz54dXbp0qfbcp1mAThgAAIA6Wrx4cR7Ym/r8py/9ya9//etq5+y3336xatWqHAjSYORk+zULUpekNGvRH/7wh/jiF7+Yj6XWhXTvI488Mu/37Nkzf+lPA5rr2iWoJsIAAADU0cEHH5x/5f/Xf/3XGDZsWLWBxZXSLERr167NYw2+/vWv5/ULHnvssWjXrl3VORdddFH89Kc/zWMSDjvssDxD0dtvv131fBq/cPHFF+dBwyl8HHvssbl7UXq9dJ9Ro0bVqfxmEwIAgDpK03umL+7XXXdd9OrVK+655548fmB7PXr0yIOJp0+fns9ftGhR/mK/vR/+8Idx9tln5y/1aYBw+vL/1a9+tdo5V199dVx55ZX5/umeX/rSl3K3oTTVaF012/bRDkwAAEAhaBkAAICCEgYAAKCghAEoY6tXr87Lnqd5hzt16pRnEUgrIZ588snx0EMP7TBNGQCRp3hMM7akLc3gAuycMQNQxp599tk46aST4uijj86rDKa5i9esWRP/83/+z/zveeedF7fffnupiwlQNp544ok49dRT81zwGzduzAs5bb96LFCdMABlLE1VluYsTkuhb++dd97JrQUvvfRSvPDCC/H3f//3JSsjQLlI0yym2VzSDyhpGsff/va3wgB8At2EKKy0KmCaE3jo0KHRtWvX3AVn//33j6997Wvx3HPPRTnYY489dggCSZpuLE0nVrk8OUBR68ntpXna33///Tx9I1A7WgYorNSPNC3nfdxxx8Whhx4a++yzT7zxxhvx6KOP5n6mv/vd7+Koo46KcrRp06b8y9ef/vSnePXVV/OCJwBFridT98kzzjgj7r333jjzzDPzIk9aBuCTWYGYwkofamlJ7/RBt70XX3wxf9G+/PLLc9/T2rjzzjtj2bJltX7t9CGVttpK4wPSYiVpxcH0eM6cObFixYqYOHGiIABE0evJ//t//2+MGTMmhg8fnoMAUHvCAIWVmrs/+gGXpP73J554Yjz++OO5z37qqlObD7n0C9Su2NUwMGnSpKr9VKYbbrghr1YIUPR68rvf/W7u0vTzn/98l+4PCAMU3PPPPx/XX399LFiwIDeHpw+17a1bty4OOOCAT7zP/Pnzd2MpIw+ISz36KioqcovAfffdF1dccUU888wz8etf/zpatvRfGShmPTlr1qxcD9599926A1Ev+l1yd4O+3uIbRkYp+QZBYaUv0mnaziRNQ3fIIYfE3nvvnfvBPvLII/HHP/4xNm/eHOUkDSbu3r17jB8/PgeASy+9NE8tmubUBihaPfnWW2/F9773vTj99NPj7LPPLlk5oBTSQPnUSyCF9D59+uTB/gMGDNjl+wgDFNY111yTP8SefvrpOPbYY6s99/vf/z5/yNXW7h4zUJP0wZzCQPq1TRgAilhPpvEMabzA7Nmzc0CpSWWrRZr9qG/fvrV+fShnqUVs3LhxMWPGjDzV+LRp0/KsX6+88kqe8WtXCAMU1uuvv54X8froB9x7770XS5Ys2aV77e4xAzX561//mv+tTV9dgKZYT372s5+Nc889t8bnUkBIv5h+61vfij333DOfC03F1KlT86D50aNH5/0UCtJ7fubMmXHZZZft0r2EAQrrc5/7XJ6WM82KUbloV+qTf/HFF+fFanbF7uoLm35169mz5w5f+FPTeJrFIznttNN2y2sDlHs9mdY+uOOOO3YaJFIYuPHGG40loEnZsmVLLF68OHcZrpQWKB0yZEgsXLhwl+8nDFBYF154Yfyv//W/8i9e//iP/xht2rTJH1YrV67MHyK7e1Bwbdx0003x7//+73HMMcdEt27d8q9bf/nLX3L637hxY3zjG98wjR5Q6HoSimbdunU5lHfq1Kna8bT/8ssv7/L9rEBMYX3lK1+JBx54IA466KD41a9+lReqOeyww2LRokX517BykAbEpV/+03/uu+66K4eD1Mz+xS9+Me6///48g8bO+skCFKGeBD4dKxADAEAjmVo0dRNq27ZtDuppob1Ko0aNirfffjv+x//4H7t0Py0DAADQSLRq1Sr69esX8+bNqzq2devWvD9o0KBdvp8xAwAA0IikaUVTS0D//v3z2gJpatE0lrBydqFdoZsQAAA0MrfcckvVomNpDY2bb745rzmwq4QBAAAoKGMGAACgoAoXBlJDyIYNG/K/AOxIPQlQHCUNA7/73e9i2LBhceCBB+a50h955JFPvCYtcHLkkUdG69at4+CDD87Lm++Kd955J9q3b5//BWBH6kmA4ihpGEijnvv06RPTp0+v1flvvvlmnH766XHiiSfG888/Hz/4wQ/ivPPOi8cff3y3lxUAAJqakk4t+uUvfzlvtTVjxoz4/Oc/HzfeeGPe79GjRyxYsCCvyjp06NDdWFIAAGh6GtU6AwsXLowhQ4ZUO5ZCQGoh2JnNmzfnrVLqBwvAh9STAMXVqAYQp3lUO3XqVO1Y2k8fXO+//36N10yZMiX3fa3cunbt2kClBWgc1JMAxdWowkBdjB8/PtavX1+1rVixotRFAigr6kmA4mpU3YQ6d+4cq1evrnYs7bdr1y723HPPGq9Jsw6lDYCaqScBiqtRhYFBgwbFnDlzqh174okn8nEAAPi0lk/u3aCv123C0ihsN6F33303TxGatsqpQ9Pj5cuXVzVdjxw5sur8888/P95444249NJL4+WXX45bb701fv3rX8fYsWNL9jcAAEC5r9VVlmHg2WefjSOOOCJvybhx4/LjCRMm5P2//e1vVcEgSdOKzp49O7cGpPUJ0hSjd9xxh2lFAQAojI27uFbXx2m2rWDrzaeZh9JsGWmQXBprAEB16kmgyJY3sm5CqWXg4YcfjuHDh9fp+iY/mxAAANAEBhADAGyv3yV3RxEtvuHDMZXwaWgZAACAghIGAACgoIQBAAAoKGMGAACgEUlrdb322mtV+5Vrde27777RrVu3XbqXMAAAAGWyInBt1+o68cQTq/bTWl3JqFGj4s4779ylewkDAADQiJxwwglRX0uFGTMAAAAFJQwAAEBBCQMAAFBQxgxAGbOyJgCwO2kZAACAghIGAACgoIQBAAAoKGEAAAAKShgAAICCEgYAAKCghAEAACgoYQAAAApKGAAAgIISBgAAoKCEAQAAKChhAAAACkoYAACAghIGAACgoFqWugAAND39Lrk7imjxDSNLXQSAXaJlAAAACkoYAACAghIGAACgoIQBAAAoKGEAAAAKShgAAICCEgYAAKCghAEAACiokoeB6dOnR/fu3aNNmzYxcODAWLRo0ceeP23atDj00ENjzz33jK5du8bYsWNj06ZNDVZeAABoKkq6AvGsWbNi3LhxMWPGjBwE0hf9oUOHxiuvvBL777//Duffe++9cdlll8XMmTNj8ODB8eqrr8Y555wTzZo1i6lTpzZYua2sCQBAU1DSloH0BX7MmDExevTo6NmzZw4Fbdu2zV/2a/LMM8/EMcccE9/61rdya8Kpp54aZ5555ie2JgAAAGUUBrZs2RKLFy+OIUOGfFiY5s3z/sKFC2u8JrUGpGsqv/y/8cYbMWfOnDjttNN2+jqbN2+ODRs2VNsA+JB6EqC4ShYG1q1bFxUVFdGpU6dqx9P+qlWrarwmtQhMnjw5jj322Nhjjz3i7/7u7+KEE06Iyy+/fKevM2XKlGjfvn3VlsYZAPAh9SRAcZV8APGumD9/flx77bVx6623xpIlS+Khhx6K2bNnx9VXX73Ta8aPHx/r16+v2lasWNGgZQYod+pJgOIq2QDijh07RosWLWL16tXVjqf9zp0713jNlVdeGWeffXacd955eb93796xcePG+Pa3vx1XXHFF7mb0Ua1bt84bADVTTwIUV8laBlq1ahX9+vWLefPmVR3bunVr3h80aFCN17z33ns7fOFPgSLZtm3bbi4xAAA0LSWdWjRNKzpq1Kjo379/DBgwIE8tmn7pT7MLJSNHjowuXbrk/qzJsGHD8gxERxxxRJ6K9LXXXsutBel4ZSgAAAAaQRgYMWJErF27NiZMmJAHDfft2zfmzp1bNah4+fLl1VoCfvzjH+c1BdK/K1eujP322y8HgWuuuaaEfwUAADROJQ0DyQUXXJC3nQ0Y3l7Lli1j4sSJeQMAAAo0mxAAAFB/hAEAACgoYQAAAApKGAAAgIISBgAAoKCEAQAAKChhAAAACkoYAACAghIGAACgoIQBAAAoKGEAAAAKShgAAICCEgYAAKCghAEAACgoYQAAAApKGAAAgIISBgAAoKCEAQAAKChhAAAACkoYAACAghIGAACgoIQBAAAoKGEAAAAKShgAAICCEgYAAKCgWtb2xA0bNtT6pu3atatreQAAgHILAx06dIhmzZrV6tyKiopPUyYAAKCcwsBTTz1V9XjZsmVx2WWXxTnnnBODBg3KxxYuXBh33XVXTJkyZfeUFAAAKE0YOP7446seT548OaZOnRpnnnlm1bEzzjgjevfuHbfddluMGjWqfksJAACUxwDi1ArQv3//HY6nY4sWLaqPcgEAAOUYBrp27Rq33377DsfvuOOO/BwAANCEuglt76abbop/+Id/iMceeywGDhyYj6UWgT//+c/x4IMP1ncZAQCAcmkZOO200+LVV1+NYcOGxVtvvZW39DgdS88BAABNtGUgSd2Brr322votDQAAUP4rED/99NNx1llnxeDBg2PlypX52C9/+ctYsGBBfZYPAAAopzCQxgUMHTo09txzz1iyZEls3rw5H1+/fv0utxZMnz49unfvHm3atMnjDz5pNqK33347vve978UBBxwQrVu3ji984QsxZ86cuvwZAABQaHUKAz/5yU9ixowZeUahPfbYo+r4Mccck8NBbc2aNSvGjRsXEydOzNf16dMnh4w1a9bUeP6WLVvilFNOyYuePfDAA/HKK6/kMnTp0qUufwYAABRancYMpC/hX/ziF3c43r59+/zLfW2lhcvGjBkTo0ePzvspYMyePTtmzpyZVzj+qHQ8DVZ+5plnqkJIalX4OKnVorLlItmwYUOtywdQBOpJgOKqU8tA586d47XXXtvheBovcNBBB9XqHulX/sWLF8eQIUM+LEzz5nk/LWpWk0cffTQGDRqUuwl16tQpevXqlbslVVRU7PR1pkyZkkNK5WYdBIDq1JMAxVWnMJB+zb/oooviD3/4QzRr1iz++te/xj333BMXX3xxfOc736nVPdatW5e/xKcv9dtL+6tWrarxmjfeeCN3D0rXpXECV155Zdx4442529LOjB8/Po9lqNxWrFixi38tQNOmngQorjp1E0pdeLZu3Ronn3xyvPfee7nLUBrMm8LAhRdeGLtLes39998/brvttmjRokX069cvz2R0ww035HEHNUnlShsANVNPAhRXncJAag244oor4pJLLsndhd59993o2bNn7L333rW+R8eOHfMX+tWrV1c7nvZTN6SapBmE0liBdF2lHj165JaE1O2oVatWdflzAACgkOrUTejuu++Ol156KX/5TiFgwIABOQhs2rQpP1cb6dr0y/68efOq/fKf9tO4gJqk2YpS+EjnVUqrHqeQIAgAAEADhIFzzjknB4C03sD2Ul/TypmBaiNNK5qmBr3rrrtyuEjjDTZu3Fh1j5EjR+a+rJXS82k2oTReIYWANPNQGkCcBhQDAAAN0E0omTRpUpx99tmxdOnSuOqqq+p0jxEjRsTatWtjwoQJuatP3759Y+7cuVWDipcvX55nGKqUZrh4/PHHY+zYsXH44Yfn9QVSMPjRj35U1z8DAAAKq85h4KyzzorBgwfHV7/61XjhhRfil7/8ZZ3uc8EFF+StJvPnz9/hWOpC9Pvf/75OrwUAAHzKbkJpAHFy9NFH5+lFUz/+FAzSysAAAEATDgPbtm2retytW7e8InBaCfiUU06pz7IBAADlFgbSnP7bTyPatm3bePjhh3Nf/rTmAAAA0ETHDOxsga80qBgAAGhiYeDRRx+NL3/5y3nRr/T448YTDBs2rL7KBwAAlDoMDB8+PE//uf/+++fHHxcGKioq6qt8AABAqcPA9qv+bv8YAAAo0ABiAACgQC0DN998c61v+v3vf7+u5QEAAMotDNx00021Oi+NGRAGAACgCYWBN998c/eWBAAAaFDGDAAAQEHVadGx5D//8z/zegPLly+PLVu2VHtu6tSp9VE2AACg3MLAvHnz4owzzoiDDjooXn755ejVq1csW7Ystm3bFkceeWT9lxIAACiPbkLjx4+Piy++OJYuXRpt2rSJBx98MFasWBHHH398fOMb36j/UgIAAOURBl566aUYOXJkftyyZct4//33Y++9947JkyfHddddV99lBAAAyiUM7LXXXlXjBA444IB4/fXXq55bt25d/ZUOAAAorzEDRx99dCxYsCB69OgRp512Wvzwhz/MXYYeeuih/BwAANBEw0CaLejdd9/NjydNmpQfz5o1Kw455BAzCQEAQFMOA2kWoe27DM2YMaM+ywQAAJTzOgOVUqvA1q1bqx1r167dp70tAABQjgOI33zzzTj99NNzq0D79u1jn332yVuHDh3yvwAAQBNtGTjrrLPyAmMzZ86MTp06RbNmzeq/ZAAAQPmFgT/+8Y+xePHiOPTQQ+u/RAAAQPl2EzrqqKPyisMAAEDBWgbuuOOOOP/882PlypXRq1ev2GOPPao9f/jhh9dX+QAAgHIKA2vXrs2rDo8ePbrqWBo3kMYRpH8rKirqs4wAAEC5hIF//ud/jiOOOCLuu+8+A4gBAKBIYeAvf/lLPProo3HwwQfXf4kAAIDyHUB80kkn5RmFAACAgrUMDBs2LMaOHRtLly6N3r177zCA+Iwzzqiv8gEAAOUUBtJMQsnkyZN3eM4AYgAAaMJhYOvWrfVfEgAAoLzHDHzwwQfRsmXLeOGFF3ZPiQAAgPIMA2l8QLdu3XQFAgCAIs4mdMUVV8Tll18eb731Vr0UYvr06dG9e/do06ZNDBw4MBYtWlSr6+6///48RmH48OH1Ug4AACiSOo0ZuOWWW+K1116LAw88MD73uc/FXnvtVe35JUuW1Ppes2bNinHjxsWMGTNyEJg2bVoMHTo0Xnnlldh///13et2yZcvi4osvjuOOO64ufwIAABRencJAff4SP3Xq1BgzZkyMHj0676dQMHv27Jg5c2ZcdtllNV6Tuij90z/9U0yaNCmefvrpePvtt3d6/82bN+et0oYNG+qt7ABNgXoSoLjqFAYmTpxYLy++ZcuWWLx4cYwfP77qWPPmzWPIkCGxcOHCnV6XpjRNrQbnnntuDgMfZ8qUKTk0AFAz9SRAcdVpzECl9EX+V7/6Vd6ee+65Xb5+3bp1+Vf+Tp06VTue9letWlXjNQsWLIhf/OIXcfvtt9fqNVLQWL9+fdW2YsWKXS4nQFOmngQorjq1DKxZsya++c1vxvz586NDhw75WOqqc+KJJ+ZBvfvtt1/sDu+8806cffbZOQh07NixVte0bt06bwDUTD0JUFx1ahm48MIL8xfzF198Mc8olLa07kDqZ/r973+/1vdJX+hbtGgRq1evrnY87Xfu3HmH819//fU8cHjYsGF5rYO03X333fHoo4/mx+l5AABgN4aBuXPnxq233ho9evSoOtazZ888Rehjjz1W6/u0atUq+vXrF/Pmzau2unHaHzRo0A7nH3bYYbF06dJ4/vnnq7Yzzjgjt0ikx127dq3LnwMAAIVUp25C6Qt7Wnzso9Kx9NyuSNOKjho1Kvr37x8DBgzIU4tu3LixanahkSNHRpcuXfIAt7QOQa9evapdX9lN6aPHAQCA3RAGTjrppLjooovivvvuy2sNJCtXroyxY8fGySefvEv3GjFiRKxduzYmTJiQBw337ds3tzxUDipevnx5nmEIAAAok0XHUvectGpwZdec9KW9d+/eeWahXXXBBRfkrSZpkPLHufPOO3f59QAAgDqGgRQA0irDqW//Sy+9lI+l8QNpfQAAAKAJh4HkN7/5Td7SNKNpnEBaZ+Dee+/Nz6XVgwEAgCYYBtJKlWkV4DTo94ADDohmzZrVf8kAAIDyCwMzZszIffXTAmAAAEDjVKdperZs2RKDBw+u/9IAAADlHQbOO++8qvEBAABAgboJbdq0KW677bZ48skn4/DDD99hAbKpU6fWV/kAAIByCgN/+tOf8uJgyQsvvFDtOYOJAQCgCYeBp556qv5LAgAAlP+YAQAAoPETBgAAoKCEAQAAKChhAAAACkoYAACAghIGAACgoIQBAAAoKGEAAAAKShgAAICCEgYAAKCghAEAACgoYQAAAApKGAAAgIISBgAAoKCEAQAAKChhAAAACkoYAACAghIGAACgoIQBAAAoKGEAAAAKShgAAICCEgYAAKCghAEAACgoYQAAAApKGAAAgIIqizAwffr06N69e7Rp0yYGDhwYixYt2um5t99+exx33HGxzz775G3IkCEfez4AAFCmYWDWrFkxbty4mDhxYixZsiT69OkTQ4cOjTVr1tR4/vz58+PMM8+Mp556KhYuXBhdu3aNU089NVauXNngZQcAgMas5GFg6tSpMWbMmBg9enT07NkzZsyYEW3bto2ZM2fWeP4999wT3/3ud6Nv375x2GGHxR133BFbt26NefPmNXjZAQCgMWtZyhffsmVLLF68OMaPH191rHnz5rnrT/rVvzbee++9+OCDD2Lfffet8fnNmzfnrdKGDRvqoeQATYd6EqC4StoysG7duqioqIhOnTpVO572V61aVat7/OhHP4oDDzwwB4iaTJkyJdq3b1+1pW5FAHxIPQlQXCXvJvRp/PSnP437778/Hn744Tz4uCap1WH9+vVV24oVKxq8nADlTD0JUFwl7SbUsWPHaNGiRaxevbra8bTfuXPnj732X/7lX3IYePLJJ+Pwww/f6XmtW7fOG5/e8sm9o4i6TVha6iLAbqWeBCiukrYMtGrVKvr161dt8G/lYOBBgwbt9Lrrr78+rr766pg7d27079+/gUoLAABNS0lbBpI0reioUaPyl/oBAwbEtGnTYuPGjXl2oWTkyJHRpUuX3Kc1ue6662LChAlx77335rUJKscW7L333nkDAAAaSRgYMWJErF27Nn/BT1/s05Sh6Rf/ykHFy5cvzzMMVfr5z3+eZyH6+te/Xu0+aZ2Cq666qsHLDwAAjVXJw0BywQUX5G1ni4xtb9myZQ1UKgAAaNoa9WxCAABA3QkDAABQUMIAAAAUlDAAAAAFJQwAAEBBlcVsQgDQFFipHWhstAwAAEBBCQMAAFBQwgAAABSUMAAAAAUlDAAAQEEJAwAAUFDCAAAAFJQwAAAABSUMAABAQQkDAABQUMIAAAAUlDAAAAAFJQwAAEBBCQMAAFBQwgAAABRUy1IXAOCjlk/uHUXUbcLSUhcBgILRMgAAAAUlDAAAQEEJAwAAUFDCAAAAFJQwAAAABSUMAABAQQkDAABQUMIAAAAUlDAAAAAFZQViAIBGxkrt1BctAwAAUFDCAAAAFJQwAAAABVUWYWD69OnRvXv3aNOmTQwcODAWLVr0sef/27/9Wxx22GH5/N69e8ecOXMarKwAANBUlDwMzJo1K8aNGxcTJ06MJUuWRJ8+fWLo0KGxZs2aGs9/5pln4swzz4xzzz03nnvuuRg+fHjeXnjhhQYvOwAANGYlDwNTp06NMWPGxOjRo6Nnz54xY8aMaNu2bcycObPG83/2s5/Fl770pbjkkkuiR48ecfXVV8eRRx4Zt9xyS4OXHQAAGrOSTi26ZcuWWLx4cYwfP77qWPPmzWPIkCGxcOHCGq9Jx1NLwvZSS8IjjzxS4/mbN2/OW6X169fnfzds2FDncldsfj+K6J09KqKIPs175dPyXiuW+nivfeYzn4lmzZrt0jXqyfrjvdvwvNeKpVT1ZFNW0jCwbt26qKioiE6dOlU7nvZffvnlGq9ZtWpVjeen4zWZMmVKTJo0aYfjXbt2/VRlL6JeUVBT2pe6BIXjvVZ36Yt8u3btdu1l1ZP1xnuXhuK91rD1ZFPW5BcdS60O27ckbN26Nd5666347Gc/KxXuYhJPXwxWrFjhPxC7lffap//Fa1epJ+uH9y4NxXut4evJpqykYaBjx47RokWLWL16dbXjab9z5841XpOO78r5rVu3ztv2OnTo8KnLXlSp0lHx0BC81xqOerJ+ee/SULzXaPQDiFu1ahX9+vWLefPmVftFKu0PGjSoxmvS8e3PT5544omdng8AAJRpN6HUND1q1Kjo379/DBgwIKZNmxYbN27MswslI0eOjC5duuQ+rclFF10Uxx9/fNx4441x+umnx/333x/PPvts3HbbbSX+SwAAoHEpeRgYMWJErF27NiZMmJAHAfft2zfmzp1bNUh4+fLleYahSoMHD4577703fvzjH8fll18ehxxySJ5JqFevwg6laRCpC0FaC+KjXQmgvnmv0Vh579JQvNeoT822bdu2rV7vCAAANAolX3QMAAAoDWEAAAAKShgAAICCEgYAAKCghAE+0fTp06N79+7Rpk2bGDhwYCxatKjURaIJ+t3vfhfDhg2LAw88MK96m2YJg8ZEXcnupp5kdxAG+FizZs3Ka0GkKcyWLFkSffr0iaFDh8aaNWtKXTSamLS+SHp/pS9U0NioK2kI6kl2B1OL8rHSr1tHHXVU3HLLLVUrRHft2jUuvPDCuOyyy0pdPJqo9IvXww8/HMOHDy91UaBW1JU0NPUk9UXLADu1ZcuWWLx4cQwZMqTqWFoALu0vXLiwpGUDKBfqSqAxEwbYqXXr1kVFRUXVatCV0n5aLRoAdSXQuAkDAABQUMIAO9WxY8do0aJFrF69utrxtN+5c+eSlQugnKgrgcZMGGCnWrVqFf369Yt58+ZVHUuD4tL+oEGDSlo2gHKhrgQas5alLgDlLU2VN2rUqOjfv38MGDAgpk2blqc2Gz16dKmLRhPz7rvvxmuvvVa1/+abb8bzzz8f++67b3Tr1q2kZYNPoq6kIagn2R1MLconSlPl3XDDDXkgXN++fePmm2/O0+hBfZo/f36ceOKJOxxPX7DuvPPOkpQJdoW6kt1NPcnuIAwAAEBBGTMAAAAFJQwAAEBBCQMAAFBQwgAAABSUMAAAAAUlDAAAQEEJAwAAUFDCAAAAFJQwAAAABSUMAABAQQkDAABQUMIAAAAUlDAA9aRZs2Z5Sx588ME49thjo127drHXXnvFMcccE3PmzCl1EQFKTl0J5UUYgHo2ceLE+MY3vpEfn3baaXHIIYfEM888E1/5ylfi4YcfLnXxAMqCuhLKQ7Nt27ZtK3UhoCmo/KWrQ4cOMXfu3Bg4cGDVc1dddVVMmjQpvvCFL8Qrr7xSwlIClJa6EsqLMAD1/AF38803x4UXXljtuc2bN0enTp1i/fr1sXz58ujatWuJSglQWupKKC+6CUE9GzZs2A7HWrduHQcddFB+vHLlyhKUCqC8qCuhPAgDUM+6detW4/E0QC7ZtGlTA5cIoPyoK6E8CANQz5o3998K4JOoK6E8+J8IAAAFJQwAAEBBCQMAAFBQwgAAABSUMAAAAAVl0TEAACgoLQMAAFBQwgAAABSUMAAAAAUlDAAAQEEJAwAAUFDCAAAAFJQwAAAABSUMAABAQQkDAABQUMIAAAAUlDAAAAAFJQwAAEAU0/8H7kJuxSaclCcAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 778.875x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_counts = df.groupby(['fraude', \"a\", 'n']).size().reset_index(name='count')\n",
    "df_counts['normalized'] = df_counts.groupby(['n', \"a\"])['count'].transform(lambda x: x / x.sum())\n",
    "\n",
    "g = sns.catplot(\n",
    "    data=df_counts, \n",
    "    x=\"n\", \n",
    "    hue=\"fraude\", \n",
    "    col=\"a\", \n",
    "    y=\"normalized\", \n",
    "    kind=\"bar\", \n",
    "    height=3, \n",
    "    aspect=1.2, \n",
    "    col_wrap=2  \n",
    ")\n",
    "\n",
    "g.set_axis_labels( fontsize=14)\n",
    "g.set_titles(size=14)  \n",
    "g.set_xlabels( fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Para *a*=1 y *n*=0, y *a*=2 y *n*=0 la proporcion de fraudes es más alta. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## *a* y *p*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 778.875x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_counts = df.groupby(['fraude', \"a\", \"p\"]).size().reset_index(name='count')\n",
    "df_counts['normalized'] = df_counts.groupby([\"p\", \"a\"])['count'].transform(lambda x: x / x.sum())\n",
    "\n",
    "g = sns.catplot(\n",
    "    data=df_counts, \n",
    "    x=\"p\", \n",
    "    hue=\"fraude\", \n",
    "    col=\"a\", \n",
    "    y=\"normalized\", \n",
    "    kind=\"bar\", \n",
    "    height=3, \n",
    "    aspect=1.2, \n",
    "    col_wrap=2  \n",
    ")\n",
    "\n",
    "g.set_axis_labels( fontsize=14)\n",
    "g.set_titles(size=14)  \n",
    "g.set_xlabels( fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Features | Type |  Comment |\n",
    "|----------|----------|----------|\n",
    "| a    | cat  |    |\n",
    "| b    | float   |   |\n",
    "| c    | float   | heavy tail   |\n",
    "| d    | cat   |    |\n",
    "| e    | float   | heavy tail    |\n",
    "| f    | float   | heavy tail    |\n",
    "| g    | cat   |    |\n",
    "| h    | cat   |   |\n",
    "| j    | cat   |    |\n",
    "| k    |  float   |   |\n",
    "| l    |  float   |   |\n",
    "| m    |  float   |    |\n",
    "| n    | cat   |   |\n",
    "| p    | cat   |   |\n",
    "| fecha    | date   |    |\n",
    "| monto    | float   | heavy tail   |\n",
    "| score    | float   |    |\n",
    "| fraude    | cat   |    |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Features temporales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Timestamp('2020-03-08 00:02:15'), Timestamp('2020-04-21 23:59:56'))"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"fecha\"].min(), df[\"fecha\"].max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tengo datos de aprox dos meses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extraer el día, la hora y el nombre del día de la semana\n",
    "df['day'] = df['fecha'].dt.date\n",
    "df['hour'] = df['fecha'].dt.hour\n",
    "df['weekday'] = df['fecha'].dt.day_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Función para calcular la proporción de fraude\n",
    "def plot_fraud_proportion(df, group_col, title):\n",
    "    fraud_ratio = df.groupby(group_col)['fraude'].mean()  # P(fraude=1)\n",
    "    \n",
    "    plt.figure(figsize=(10, 5))\n",
    "    fraud_ratio.plot(kind='bar', color='royalblue', alpha=0.7)\n",
    "    plt.title(f'Proporción de fraude por {title}')\n",
    "    plt.ylabel('Proporción de Fraude')\n",
    "    plt.xlabel(title)\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "    plt.show()\n",
    "\n",
    "# Graficar proporción de fraude por 'day', 'hour' y 'weekday'\n",
    "plot_fraud_proportion(df, 'day', 'Día')\n",
    "plot_fraud_proportion(df, 'hour', 'Hora')\n",
    "plot_fraud_proportion(df, 'weekday', 'Día de la Semana')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Podemos ver que:\n",
    "* la proporcion de fraudes por dia no supera el 6%, y es mas o menos uniforme.\n",
    "* Durante la madrugada (aprox de las 00hs hasta las 5am) se producen en promedio mas fraudes que en el resto del dia. \n",
    "* La distribucion por dia de semana es bastante uniforme, es decir, no hay un dia que presente significativamente mas proporcion de fraudes. \n",
    "\n",
    "Vamos a incluir estos features temporales para diseñar el modelo. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Desbalance de clases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(0.05)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['fraude'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Solo un 5% de las instancias son fraudulentas. Esto lo tengo que tener en cuenta a la hora de armar mi modelo de clasificacion, ya que mis clases estan desbalanceadas. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Guardo el dataframe para ser utilizado en el notebook en el que vamos a crear nuestro modelo de clasificacion "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'j', 'k', 'l', 'm', 'n', 'o',\n",
       "       'p', 'fecha', 'monto', 'score', 'fraude', 'day', 'hour', 'weekday'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.sort_values(by=\"fecha\")\n",
    "df = df.set_index(\"fecha\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('dataframe_fraud_model.csv', index=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "env_meli",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}