analise_dados.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.preprocessing import OneHotEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "################################################################################\n",
    "# Definindo funções\n",
    "################################################################################\n",
    "def gerar_transacao(config: dict) -> list:\n",
    "    \"\"\" \n",
    "    Gera uma linha de dados aleatórios de acordo com os parâmetros para\n",
    "    cada variável, definida no dicionário de configuração. \n",
    "    :param config: Dicionário contendo as porcentagens de cada variável\n",
    "    em caso de fraude.\n",
    "    :return: Lista de valores aleatórios gerados para cada coluna do \n",
    "    dataframe a ser criado.\n",
    "    \"\"\"\n",
    "    categoria = np.random.choice(list(config['categoria'].keys()))\n",
    "    localizacao = np.random.choice(list(config['localizacao'].keys()))\n",
    "    faixa_etaria = np.random.choice(list(config['faixa_etaria'].keys()))\n",
    "    dia_semana = np.random.choice(list(config['dia_semana'].keys()))\n",
    "    hora = np.random.choice(list(config['hora'].keys()))\n",
    "    fraude_prob = np.mean([\n",
    "        config['categoria'][categoria],\n",
    "        config['localizacao'][localizacao],\n",
    "        config['faixa_etaria'][faixa_etaria],\n",
    "        config['dia_semana'][dia_semana],\n",
    "        config['hora'][hora]\n",
    "    ])\n",
    "    fraude = np.random.rand() < fraude_prob\n",
    "    if fraude:\n",
    "        valor_transacao = np.random.uniform(*config['valor']['fraude'])\n",
    "    else:\n",
    "        valor_transacao = np.random.uniform(*config['valor']['legitimo'])\n",
    "    return categoria, localizacao, faixa_etaria, dia_semana, hora, valor_transacao, fraude\n",
    "\n",
    "def tratamento_hora(df: pd.DataFrame) -> pd.DataFrame:  \n",
    "    \"\"\"  \n",
    "    Transforma o formato de hora com tipo e numeração ideal para análise.\n",
    "    :param df: Dataframe com coluna de hora.\n",
    "    :return: Dataframe com coluna de hora tratada.\n",
    "    \"\"\"\n",
    "    df['hora'] = df['hora'].astype(str)\n",
    "    df['hora_transacao'] = df['hora'].str.replace('h', '', regex=False)\n",
    "    df['hora_transacao'] = pd.to_datetime(df['hora_transacao'], format='%H', errors='coerce')\n",
    "    df['hora_transacao'] = df['hora_transacao'].dt.hour\n",
    "    df = df.drop(columns=['hora'])\n",
    "    return df\n",
    "\n",
    "def tratamento_categoricas(df: pd.DataFrame, coluna: str) -> pd.DataFrame:\n",
    "    \"\"\"  \n",
    "    Trata coluna de valor categórico para gerar colunas binárias de \n",
    "    classificação.\n",
    "    :param df: Dataframe com coluna de dados categóricos.\n",
    "    :param coluna: Nome da coluna a ser tratada.\n",
    "    :return: Dataframe com coluna categórica trasnformada em colunas binárias.\n",
    "    \"\"\"\n",
    "    encoded_array = encoder.fit_transform(df[[coluna]])\n",
    "    encoded_df = pd.DataFrame(encoded_array, columns=encoder.get_feature_names_out([coluna]))\n",
    "    df_final = pd.concat([df.drop(coluna, axis=1), encoded_df], axis=1)\n",
    "    return df_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "################################################################################\n",
    "# Definindo objetos\n",
    "################################################################################\n",
    "\n",
    "# Valores para o dataframe\n",
    "n_transacoes = 10000\n",
    "dados = {\n",
    "    'categoria': [],\n",
    "    'localizacao': [],\n",
    "    'faixa_etaria': [],\n",
    "    'dia_semana': [],\n",
    "    'hora': [],\n",
    "    'valor_transacao': [],\n",
    "    'fraude': []\n",
    "}\n",
    "dados_config = {'localizacao': {\n",
    "    'Norte': 0.034,\n",
    "    'Nordeste': 0.028,\n",
    "    'Centro-Oeste': 0.025,\n",
    "    'Sudeste': 0.021,\n",
    "    'Sul': 0.011},\n",
    "    'categoria' : {\n",
    "        'Celular': 0.082,\n",
    "        'Eletrônicos': 0.080,\n",
    "        'Informática': 0.043,\n",
    "        'Automotivo': 0.034,\n",
    "        'Eletrodomésticos': 0.033,\n",
    "        'Acessórios': 0.030,\n",
    "        'Móveis': 0.023,\n",
    "        'Beleza': 0.022,\n",
    "        'Esportes': 0.020,\n",
    "        'Eletroportáteis': 0.020},\n",
    "    'faixa_etaria': {\n",
    "        'até 25 anos': 0.040,\n",
    "        'entre 26 e 35 anos': 0.019,\n",
    "        'entre 36 e 50 anos': 0.015,\n",
    "        'acima de 51 anos': 0.021},\n",
    "    'dia_semana': {\n",
    "        'Domingo': 0.017,\n",
    "        'Segunda': 0.021,\n",
    "        'Terça': 0.022,\n",
    "        'Quarta': 0.022,\n",
    "        'Quinta': 0.022,\n",
    "        'Sexta': 0.021,\n",
    "        'Sábado': 0.020},\n",
    "    'hora': {\n",
    "        '00h': 0.036,\n",
    "        '01h': 0.042,\n",
    "        '02h': 0.069,\n",
    "        '03h': 0.077,\n",
    "        '04h': 0.067,\n",
    "        '05h': 0.037,\n",
    "        '06h': 0.014,\n",
    "        '07h': 0.017,\n",
    "        '08h': 0.014,\n",
    "        '09h': 0.015,\n",
    "        '10h': 0.016,\n",
    "        '11h': 0.018,\n",
    "        '12h': 0.020,\n",
    "        '13h': 0.021,\n",
    "        '14h': 0.021,\n",
    "        '15h': 0.022,\n",
    "        '16h': 0.023,\n",
    "        '17h': 0.022,\n",
    "        '18h': 0.022,\n",
    "        '19h': 0.021,\n",
    "        '20h': 0.021,\n",
    "        '21h': 0.020,\n",
    "        '22h': 0.021,\n",
    "        '23h': 0.026},\n",
    "    'valor': {'fraude': (500.00, 2000.00),\n",
    "        'legitimo': (50.00, 700.00)}}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "################################################################################\n",
    "# Encoder e seed\n",
    "################################################################################\n",
    "\n",
    "np.random.seed(42)\n",
    "encoder = OneHotEncoder(sparse_output=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "################################################################################\n",
    "# Iteração para geração de dataframe\n",
    "################################################################################\n",
    "\n",
    "for i in range(n_transacoes):\n",
    "    categoria, localizacao, faixa_etaria, dia_semana, hora, valor_transacao, fraude = gerar_transacao(dados_config)\n",
    "    transacao = {\n",
    "        'categoria': categoria,\n",
    "        'localizacao': localizacao,\n",
    "        'faixa_etaria': faixa_etaria,\n",
    "        'dia_semana': dia_semana,\n",
    "        'hora': hora,\n",
    "        'valor_transacao': valor_transacao,\n",
    "        'fraude': fraude\n",
    "    }\n",
    "    for key, value in transacao.items():\n",
    "        dados[key].append(value)\n",
    "df = pd.DataFrame(dados)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         categoria   localizacao        faixa_etaria dia_semana hora  \\\n",
      "0           Móveis       Sudeste         até 25 anos     Sábado  10h   \n",
      "1  Eletroportáteis  Centro-Oeste  entre 36 e 50 anos      Terça  10h   \n",
      "2           Beleza  Centro-Oeste  entre 26 e 35 anos     Quinta  01h   \n",
      "3      Eletrônicos       Sudeste         até 25 anos    Domingo  11h   \n",
      "4         Esportes         Norte  entre 36 e 50 anos      Terça  09h   \n",
      "\n",
      "   valor_transacao  fraude  \n",
      "0       437.952603   False  \n",
      "1       440.724758   False  \n",
      "2       660.059261   False  \n",
      "3        54.593098   False  \n",
      "4       682.941087   False  \n"
     ]
    }
   ],
   "source": [
    "################################################################################\n",
    "# Verificando as colunas do dataframe\n",
    "################################################################################\n",
    "\n",
    "print(df.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>categoria</th>\n",
       "      <th>localizacao</th>\n",
       "      <th>faixa_etaria</th>\n",
       "      <th>dia_semana</th>\n",
       "      <th>hora</th>\n",
       "      <th>valor_transacao</th>\n",
       "      <th>fraude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Móveis</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>até 25 anos</td>\n",
       "      <td>Sábado</td>\n",
       "      <td>10h</td>\n",
       "      <td>437.952603</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Eletroportáteis</td>\n",
       "      <td>Centro-Oeste</td>\n",
       "      <td>entre 36 e 50 anos</td>\n",
       "      <td>Terça</td>\n",
       "      <td>10h</td>\n",
       "      <td>440.724758</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Beleza</td>\n",
       "      <td>Centro-Oeste</td>\n",
       "      <td>entre 26 e 35 anos</td>\n",
       "      <td>Quinta</td>\n",
       "      <td>01h</td>\n",
       "      <td>660.059261</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Eletrônicos</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>até 25 anos</td>\n",
       "      <td>Domingo</td>\n",
       "      <td>11h</td>\n",
       "      <td>54.593098</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Esportes</td>\n",
       "      <td>Norte</td>\n",
       "      <td>entre 36 e 50 anos</td>\n",
       "      <td>Terça</td>\n",
       "      <td>09h</td>\n",
       "      <td>682.941087</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9995</th>\n",
       "      <td>Esportes</td>\n",
       "      <td>Centro-Oeste</td>\n",
       "      <td>entre 26 e 35 anos</td>\n",
       "      <td>Terça</td>\n",
       "      <td>04h</td>\n",
       "      <td>217.340580</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9996</th>\n",
       "      <td>Acessórios</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>entre 36 e 50 anos</td>\n",
       "      <td>Quinta</td>\n",
       "      <td>21h</td>\n",
       "      <td>273.640842</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997</th>\n",
       "      <td>Celular</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>entre 36 e 50 anos</td>\n",
       "      <td>Sexta</td>\n",
       "      <td>00h</td>\n",
       "      <td>68.896961</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9998</th>\n",
       "      <td>Automotivo</td>\n",
       "      <td>Norte</td>\n",
       "      <td>entre 36 e 50 anos</td>\n",
       "      <td>Quinta</td>\n",
       "      <td>00h</td>\n",
       "      <td>1400.769500</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9999</th>\n",
       "      <td>Beleza</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>entre 36 e 50 anos</td>\n",
       "      <td>Sábado</td>\n",
       "      <td>07h</td>\n",
       "      <td>416.380697</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            categoria   localizacao        faixa_etaria dia_semana hora  \\\n",
       "0              Móveis       Sudeste         até 25 anos     Sábado  10h   \n",
       "1     Eletroportáteis  Centro-Oeste  entre 36 e 50 anos      Terça  10h   \n",
       "2              Beleza  Centro-Oeste  entre 26 e 35 anos     Quinta  01h   \n",
       "3         Eletrônicos       Sudeste         até 25 anos    Domingo  11h   \n",
       "4            Esportes         Norte  entre 36 e 50 anos      Terça  09h   \n",
       "...               ...           ...                 ...        ...  ...   \n",
       "9995         Esportes  Centro-Oeste  entre 26 e 35 anos      Terça  04h   \n",
       "9996       Acessórios       Sudeste  entre 36 e 50 anos     Quinta  21h   \n",
       "9997          Celular       Sudeste  entre 36 e 50 anos      Sexta  00h   \n",
       "9998       Automotivo         Norte  entre 36 e 50 anos     Quinta  00h   \n",
       "9999           Beleza       Sudeste  entre 36 e 50 anos     Sábado  07h   \n",
       "\n",
       "      valor_transacao  fraude  \n",
       "0          437.952603   False  \n",
       "1          440.724758   False  \n",
       "2          660.059261   False  \n",
       "3           54.593098   False  \n",
       "4          682.941087   False  \n",
       "...               ...     ...  \n",
       "9995       217.340580   False  \n",
       "9996       273.640842   False  \n",
       "9997        68.896961   False  \n",
       "9998      1400.769500    True  \n",
       "9999       416.380697   False  \n",
       "\n",
       "[10000 rows x 7 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "################################################################################\n",
    "# Verificando o dataframe gerado\n",
    "################################################################################\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "################################################################################\n",
    "# Frequência de categorias em fraudes e não fraudes\n",
    "################################################################################\n",
    "\n",
    "dados_fraude = df[df['fraude'] == 1]\n",
    "dados_nao_fraude = df[df['fraude'] == 0]\n",
    "\n",
    "contagem_fraude = dados_fraude['categoria'].value_counts()\n",
    "contagem_nao_fraude = dados_nao_fraude['categoria'].value_counts()\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(12, 6))\n",
    "\n",
    "axes[0].pie(contagem_fraude, labels=contagem_fraude.index, autopct='%1.1f%%', startangle=90)\n",
    "axes[0].set_title('Distribuição de Categorias - Transações com Fraude')\n",
    "\n",
    "axes[1].pie(contagem_nao_fraude, labels=contagem_nao_fraude.index, autopct='%1.1f%%', startangle=90)\n",
    "axes[1].set_title('Distribuição de Categorias - Transações sem Fraude')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Valor da Transação')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "################################################################################\n",
    "# Distribuição de valores entre fraudes e não fraudes\n",
    "################################################################################\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.boxplot(x='fraude', y='valor_transacao', data=df, palette='Set2', hue='fraude')\n",
    "\n",
    "plt.title('Distribuição de Valores entre Transações com e sem Fraude')\n",
    "plt.xlabel('Fraude (0 = Não, 1 = Sim)')\n",
    "plt.ylabel('Valor da Transação')\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}