Analise_de_Dados_de_Fraude_em_Cartoes_de_Credito.ipynb

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        "<a href=\"https://colab.research.google.com/github/FelipeErmeson/credit-card-fraud-detection/blob/main/Analise_de_Dados_de_Fraude_em_Cartoes_de_Credito.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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        "---\n",
        "<img alt=\"Colaboratory logo\" width=\"30%\" src=\"https://raw.githubusercontent.com/FelipeErmeson/Data-Science-Projects/b35dcf53814c50c86f65de7628483151404026a7/logotipo.svg\">\n",
        "\n",
        "*by [Felipe Lima](https://www.linkedin.com/in/felipe-ermeson-b484bb128/)*\n",
        "\n",
        "---"
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      "source": [
        "## **Análise de Dados de Fraudes em Cartões de Crédito**\n",
        "\n",
        "Os ataques cibernéticos estão cada vez mais sofisticados, e segundo a pesquisa da *PSafe*, o Brasil registra mais de mil tentativas de **fraudes financeiras** digitais por hora.\n",
        "\n",
        "Uma das principais preocupações dos bancos e *fintechs* é a correta identificação de uma transação fraudulenta ou não fraudulenta. \n",
        "\n",
        "A estimativa é que o prejuízo possa chegar a 2.5 Bilhões de reais no final de 2022. Esse número subestimado ou não, é um valor considerável já que é na casa do bilhão.\n",
        "\n",
        "O problema de fraudes financeiras digitais, principalmente de cartões de crédito possuem **dois fatores importantes a serem considerados**. O primeiro é a não detecção da fraude, o que pode acarretar prejuízos ao banco e ao cliente. O segundo é a acusação de fraude errôneamente, o que pode acarretar *stress* e constrangimento ao cliente.\n",
        "\n",
        "<p align=center>\n",
        "<img src=\"https://images.unsplash.com/photo-1537724326059-2ea20251b9c8?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=876&q=80\" width=\"50%\"></p>\n",
        "\n",
        "Neste notebook foi realizada uma análise sobre os dados disponíveis de algumas empresas europeias, em um **período de dois dias**.\n",
        "\n",
        "A [fonte](https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud) dos dados também nos informa que as variáveis passaram por uma transformação conhecida como Análise de Componentes Principais (Principal Component Analysis - PCA). Onde são realizadas transformações das variáveis originais, reduzindo a dimensão dos dados. Então, a quantidade das variáveis que temos são iguais ou menor do que os dados originais (sem a transformação)."
      ],
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      "cell_type": "markdown",
      "source": [
        "## Obtenção dos Dados"
      ],
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      "source": [
        "# importar os pacotes necessários\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# importar os dados para um dataframe\n",
        "file_path = \"https://www.dropbox.com/s/b44o3t3ehmnx2b7/creditcard.csv?dl=1\"\n",
        "# file_path = \"dados/creditcard.csv\"\n",
        "\n",
        "df = pd.read_csv(file_path)\n",
        "df.shape"
      ],
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        "id": "UtlUcJk8Ztxw",
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      "cell_type": "markdown",
      "source": [
        "## Análise Exploratória\n",
        "\n",
        "Nesta análise foi explorado se o dataset possue algum valor faltante, qual seria a variável alvo e se a mesma está balanceada, além de visualizar distribuições de algumas variáveis e suas correlações.\n",
        "\n",
        "Percebemos ao visualizar as 5 primeiras linhas do DataFrame, que as *features* estão anônimizadas, para preservar os clientes e o próprio banco."
      ],
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              "   Time        V1        V2        V3        V4        V5        V6        V7  \\\n",
              "0   0.0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388  0.239599   \n",
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              "2   1.0 -1.358354 -1.340163  1.773209  0.379780 -0.503198  1.800499  0.791461   \n",
              "3   1.0 -0.966272 -0.185226  1.792993 -0.863291 -0.010309  1.247203  0.237609   \n",
              "4   2.0 -1.158233  0.877737  1.548718  0.403034 -0.407193  0.095921  0.592941   \n",
              "\n",
              "         V8        V9  ...       V21       V22       V23       V24       V25  \\\n",
              "0  0.098698  0.363787  ... -0.018307  0.277838 -0.110474  0.066928  0.128539   \n",
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              "\n",
              "        V26       V27       V28  Amount  Class  \n",
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        "Visualizando um pouco da análise descritiva, a variável Amount possue um valor mínimo de 0 e um máximo 25691.16."
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              "                Time            V1            V2            V3            V4  \\\n",
              "count  284807.000000  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05   \n",
              "mean    94813.859575  1.168375e-15  3.416908e-16 -1.379537e-15  2.074095e-15   \n",
              "std     47488.145955  1.958696e+00  1.651309e+00  1.516255e+00  1.415869e+00   \n",
              "min         0.000000 -5.640751e+01 -7.271573e+01 -4.832559e+01 -5.683171e+00   \n",
              "25%     54201.500000 -9.203734e-01 -5.985499e-01 -8.903648e-01 -8.486401e-01   \n",
              "50%     84692.000000  1.810880e-02  6.548556e-02  1.798463e-01 -1.984653e-02   \n",
              "75%    139320.500000  1.315642e+00  8.037239e-01  1.027196e+00  7.433413e-01   \n",
              "max    172792.000000  2.454930e+00  2.205773e+01  9.382558e+00  1.687534e+01   \n",
              "\n",
              "                 V5            V6            V7            V8            V9  \\\n",
              "count  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05   \n",
              "mean   9.604066e-16  1.487313e-15 -5.556467e-16  1.213481e-16 -2.406331e-15   \n",
              "std    1.380247e+00  1.332271e+00  1.237094e+00  1.194353e+00  1.098632e+00   \n",
              "min   -1.137433e+02 -2.616051e+01 -4.355724e+01 -7.321672e+01 -1.343407e+01   \n",
              "25%   -6.915971e-01 -7.682956e-01 -5.540759e-01 -2.086297e-01 -6.430976e-01   \n",
              "50%   -5.433583e-02 -2.741871e-01  4.010308e-02  2.235804e-02 -5.142873e-02   \n",
              "75%    6.119264e-01  3.985649e-01  5.704361e-01  3.273459e-01  5.971390e-01   \n",
              "max    3.480167e+01  7.330163e+01  1.205895e+02  2.000721e+01  1.559499e+01   \n",
              "\n",
              "       ...           V21           V22           V23           V24  \\\n",
              "count  ...  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05   \n",
              "mean   ...  1.654067e-16 -3.568593e-16  2.578648e-16  4.473266e-15   \n",
              "std    ...  7.345240e-01  7.257016e-01  6.244603e-01  6.056471e-01   \n",
              "min    ... -3.483038e+01 -1.093314e+01 -4.480774e+01 -2.836627e+00   \n",
              "25%    ... -2.283949e-01 -5.423504e-01 -1.618463e-01 -3.545861e-01   \n",
              "50%    ... -2.945017e-02  6.781943e-03 -1.119293e-02  4.097606e-02   \n",
              "75%    ...  1.863772e-01  5.285536e-01  1.476421e-01  4.395266e-01   \n",
              "max    ...  2.720284e+01  1.050309e+01  2.252841e+01  4.584549e+00   \n",
              "\n",
              "                V25           V26           V27           V28         Amount  \\\n",
              "count  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05  284807.000000   \n",
              "mean   5.340915e-16  1.683437e-15 -3.660091e-16 -1.227390e-16      88.349619   \n",
              "std    5.212781e-01  4.822270e-01  4.036325e-01  3.300833e-01     250.120109   \n",
              "min   -1.029540e+01 -2.604551e+00 -2.256568e+01 -1.543008e+01       0.000000   \n",
              "25%   -3.171451e-01 -3.269839e-01 -7.083953e-02 -5.295979e-02       5.600000   \n",
              "50%    1.659350e-02 -5.213911e-02  1.342146e-03  1.124383e-02      22.000000   \n",
              "75%    3.507156e-01  2.409522e-01  9.104512e-02  7.827995e-02      77.165000   \n",
              "max    7.519589e+00  3.517346e+00  3.161220e+01  3.384781e+01   25691.160000   \n",
              "\n",
              "               Class  \n",
              "count  284807.000000  \n",
              "mean        0.001727  \n",
              "std         0.041527  \n",
              "min         0.000000  \n",
              "25%         0.000000  \n",
              "50%         0.000000  \n",
              "75%         0.000000  \n",
              "max         1.000000  \n",
              "\n",
              "[8 rows x 31 columns]"
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              "      <th></th>\n",
              "      <th>Time</th>\n",
              "      <th>V1</th>\n",
              "      <th>V2</th>\n",
              "      <th>V3</th>\n",
              "      <th>V4</th>\n",
              "      <th>V5</th>\n",
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              "      <th>V9</th>\n",
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              "      <th>V22</th>\n",
              "      <th>V23</th>\n",
              "      <th>V24</th>\n",
              "      <th>V25</th>\n",
              "      <th>V26</th>\n",
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              "      <th>V28</th>\n",
              "      <th>Amount</th>\n",
              "      <th>Class</th>\n",
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              "      <th>count</th>\n",
              "      <td>284807.000000</td>\n",
              "      <td>2.848070e+05</td>\n",
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              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
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              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>284807.000000</td>\n",
              "      <td>284807.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>94813.859575</td>\n",
              "      <td>1.168375e-15</td>\n",
              "      <td>3.416908e-16</td>\n",
              "      <td>-1.379537e-15</td>\n",
              "      <td>2.074095e-15</td>\n",
              "      <td>9.604066e-16</td>\n",
              "      <td>1.487313e-15</td>\n",
              "      <td>-5.556467e-16</td>\n",
              "      <td>1.213481e-16</td>\n",
              "      <td>-2.406331e-15</td>\n",
              "      <td>...</td>\n",
              "      <td>1.654067e-16</td>\n",
              "      <td>-3.568593e-16</td>\n",
              "      <td>2.578648e-16</td>\n",
              "      <td>4.473266e-15</td>\n",
              "      <td>5.340915e-16</td>\n",
              "      <td>1.683437e-15</td>\n",
              "      <td>-3.660091e-16</td>\n",
              "      <td>-1.227390e-16</td>\n",
              "      <td>88.349619</td>\n",
              "      <td>0.001727</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>47488.145955</td>\n",
              "      <td>1.958696e+00</td>\n",
              "      <td>1.651309e+00</td>\n",
              "      <td>1.516255e+00</td>\n",
              "      <td>1.415869e+00</td>\n",
              "      <td>1.380247e+00</td>\n",
              "      <td>1.332271e+00</td>\n",
              "      <td>1.237094e+00</td>\n",
              "      <td>1.194353e+00</td>\n",
              "      <td>1.098632e+00</td>\n",
              "      <td>...</td>\n",
              "      <td>7.345240e-01</td>\n",
              "      <td>7.257016e-01</td>\n",
              "      <td>6.244603e-01</td>\n",
              "      <td>6.056471e-01</td>\n",
              "      <td>5.212781e-01</td>\n",
              "      <td>4.822270e-01</td>\n",
              "      <td>4.036325e-01</td>\n",
              "      <td>3.300833e-01</td>\n",
              "      <td>250.120109</td>\n",
              "      <td>0.041527</td>\n",
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              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>-5.640751e+01</td>\n",
              "      <td>-7.271573e+01</td>\n",
              "      <td>-4.832559e+01</td>\n",
              "      <td>-5.683171e+00</td>\n",
              "      <td>-1.137433e+02</td>\n",
              "      <td>-2.616051e+01</td>\n",
              "      <td>-4.355724e+01</td>\n",
              "      <td>-7.321672e+01</td>\n",
              "      <td>-1.343407e+01</td>\n",
              "      <td>...</td>\n",
              "      <td>-3.483038e+01</td>\n",
              "      <td>-1.093314e+01</td>\n",
              "      <td>-4.480774e+01</td>\n",
              "      <td>-2.836627e+00</td>\n",
              "      <td>-1.029540e+01</td>\n",
              "      <td>-2.604551e+00</td>\n",
              "      <td>-2.256568e+01</td>\n",
              "      <td>-1.543008e+01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>54201.500000</td>\n",
              "      <td>-9.203734e-01</td>\n",
              "      <td>-5.985499e-01</td>\n",
              "      <td>-8.903648e-01</td>\n",
              "      <td>-8.486401e-01</td>\n",
              "      <td>-6.915971e-01</td>\n",
              "      <td>-7.682956e-01</td>\n",
              "      <td>-5.540759e-01</td>\n",
              "      <td>-2.086297e-01</td>\n",
              "      <td>-6.430976e-01</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.283949e-01</td>\n",
              "      <td>-5.423504e-01</td>\n",
              "      <td>-1.618463e-01</td>\n",
              "      <td>-3.545861e-01</td>\n",
              "      <td>-3.171451e-01</td>\n",
              "      <td>-3.269839e-01</td>\n",
              "      <td>-7.083953e-02</td>\n",
              "      <td>-5.295979e-02</td>\n",
              "      <td>5.600000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>84692.000000</td>\n",
              "      <td>1.810880e-02</td>\n",
              "      <td>6.548556e-02</td>\n",
              "      <td>1.798463e-01</td>\n",
              "      <td>-1.984653e-02</td>\n",
              "      <td>-5.433583e-02</td>\n",
              "      <td>-2.741871e-01</td>\n",
              "      <td>4.010308e-02</td>\n",
              "      <td>2.235804e-02</td>\n",
              "      <td>-5.142873e-02</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.945017e-02</td>\n",
              "      <td>6.781943e-03</td>\n",
              "      <td>-1.119293e-02</td>\n",
              "      <td>4.097606e-02</td>\n",
              "      <td>1.659350e-02</td>\n",
              "      <td>-5.213911e-02</td>\n",
              "      <td>1.342146e-03</td>\n",
              "      <td>1.124383e-02</td>\n",
              "      <td>22.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>139320.500000</td>\n",
              "      <td>1.315642e+00</td>\n",
              "      <td>8.037239e-01</td>\n",
              "      <td>1.027196e+00</td>\n",
              "      <td>7.433413e-01</td>\n",
              "      <td>6.119264e-01</td>\n",
              "      <td>3.985649e-01</td>\n",
              "      <td>5.704361e-01</td>\n",
              "      <td>3.273459e-01</td>\n",
              "      <td>5.971390e-01</td>\n",
              "      <td>...</td>\n",
              "      <td>1.863772e-01</td>\n",
              "      <td>5.285536e-01</td>\n",
              "      <td>1.476421e-01</td>\n",
              "      <td>4.395266e-01</td>\n",
              "      <td>3.507156e-01</td>\n",
              "      <td>2.409522e-01</td>\n",
              "      <td>9.104512e-02</td>\n",
              "      <td>7.827995e-02</td>\n",
              "      <td>77.165000</td>\n",
              "      <td>0.000000</td>\n",
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              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>172792.000000</td>\n",
              "      <td>2.454930e+00</td>\n",
              "      <td>2.205773e+01</td>\n",
              "      <td>9.382558e+00</td>\n",
              "      <td>1.687534e+01</td>\n",
              "      <td>3.480167e+01</td>\n",
              "      <td>7.330163e+01</td>\n",
              "      <td>1.205895e+02</td>\n",
              "      <td>2.000721e+01</td>\n",
              "      <td>1.559499e+01</td>\n",
              "      <td>...</td>\n",
              "      <td>2.720284e+01</td>\n",
              "      <td>1.050309e+01</td>\n",
              "      <td>2.252841e+01</td>\n",
              "      <td>4.584549e+00</td>\n",
              "      <td>7.519589e+00</td>\n",
              "      <td>3.517346e+00</td>\n",
              "      <td>3.161220e+01</td>\n",
              "      <td>3.384781e+01</td>\n",
              "      <td>25691.160000</td>\n",
              "      <td>1.000000</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 31 columns</p>\n",
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          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Verificando se o dataset possue valores nulos."
      ],
      "metadata": {
        "id": "AF6iQLBUlp0j"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "m-N3kYlMZ7FA",
        "outputId": "6ff7f5e1-d353-4216-9f34-8589b8977785"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Time      0\n",
              "V1        0\n",
              "V2        0\n",
              "V3        0\n",
              "V4        0\n",
              "V5        0\n",
              "V6        0\n",
              "V7        0\n",
              "V8        0\n",
              "V9        0\n",
              "V10       0\n",
              "V11       0\n",
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              "V13       0\n",
              "V14       0\n",
              "V15       0\n",
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              "V19       0\n",
              "V20       0\n",
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              "V28       0\n",
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              "Class     0\n",
              "dtype: int64"
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        }
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    {
      "cell_type": "code",
      "source": [
        "BRANCO = '#FFFFFF'\n",
        "BRANCO_GELO = '#F7F7F7'\n",
        "CINZA_ESCURO = '#808080'\n",
        "CINZA_CLARO = '#A6A6A6'\n",
        "AZUL = '#4F81BD'\n",
        "LARANJA = '#ED6D47'\n",
        "\n",
        "sns.color_palette([BRANCO, BRANCO_GELO, CINZA_CLARO, CINZA_ESCURO, AZUL, LARANJA])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 76
        },
        "id": "1W2op-e4Invq",
        "outputId": "4c98d2aa-b897-4e04-c1f7-9c94dc8bde54"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(1.0, 1.0, 1.0),\n",
              " (0.9686274509803922, 0.9686274509803922, 0.9686274509803922),\n",
              " (0.6509803921568628, 0.6509803921568628, 0.6509803921568628),\n",
              " (0.5019607843137255, 0.5019607843137255, 0.5019607843137255),\n",
              " (0.30980392156862746, 0.5058823529411764, 0.7411764705882353),\n",
              " (0.9294117647058824, 0.42745098039215684, 0.2784313725490196)]"
            ],
            "text/html": [
              "<svg  width=\"330\" height=\"55\"><rect x=\"0\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#ffffff;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"55\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#f7f7f7;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"110\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#a6a6a6;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"165\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#808080;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"220\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#4f81bd;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"275\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#ed6d47;stroke-width:2;stroke:rgb(255,255,255)\"/></svg>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def change_width(ax, new_value):\n",
        "  '''\n",
        "  Método auxiliar com o objetivo de alterar\n",
        "  a largura das barras.\n",
        "  '''\n",
        "  for patch in ax.patches :\n",
        "    current_width = patch.get_width()\n",
        "    diff = current_width - new_value\n",
        "    # altera a largura das barras\n",
        "    patch.set_width(new_value)\n",
        "    # centraliza o label no eixo x\n",
        "    patch.set_x(patch.get_x() + diff * .5)"
      ],
      "metadata": {
        "id": "nKBdXiRWZ93X"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(8,4))\n",
        "fig.patch.set_facecolor(BRANCO)\n",
        "sns.countplot(x='Class', data=df, saturation=0.5, ax=ax)\n",
        "ax.text(-0.47, 380000,'Status da transação bancária', fontsize=24, color=CINZA_ESCURO, fontweight='bold')\n",
        "ax.set_title('Menos de 1% do dataset são fraudes.', color=CINZA_CLARO, x=0.3, y=1.15, size=13)\n",
        "ax.spines['top'].set_visible(False)\n",
        "ax.spines['right'].set_visible(False)\n",
        "ax.spines['left'].set_visible(False)\n",
        "ax.spines['bottom'].set_visible(False)\n",
        "\n",
        "ax.tick_params(colors=CINZA_ESCURO, labelleft=False, left=False, bottom=False) # removendo label e valores do eixo y e alterando a cor dos labels x\n",
        "\n",
        "ax.set_xlabel(xlabel='Classe', x=0.05, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.get_yaxis().set_visible(False) #ylabel='Quantidade', y=0.8, labelpad=10\n",
        "ax.set_xticklabels(['Normal', 'Fraude'])\n",
        "change_width(ax, 0.5)\n",
        "# definindo a coordenada das barras, para reduzir o espaço entre as barras\n",
        "ax.patches[0].set_x(-0.45)\n",
        "ax.patches[1].set_x(0.3)\n",
        "# definindo a coordenada do rótulo das barras\n",
        "ax.set_xticks([-0.18, 0.56])\n",
        "\n",
        "# ax.set_facecolor('#F7F7F7') #alterando cor de fundo\n",
        "\n",
        "ax.annotate(\n",
        "    str(df.Class.value_counts(normalize=True)[0]*100)[:5]+\"%\",\n",
        "    xy=(-0.45, 295000),\n",
        "    xytext=(30,0),\n",
        "    textcoords='offset points',\n",
        "    color=AZUL,\n",
        "    fontsize=15,\n",
        "    fontweight='semibold'\n",
        "            )\n",
        "\n",
        "ax.annotate(\n",
        "    str(df.Class.value_counts(normalize=True)[1]*100)[:4]+\"%\",\n",
        "    xy=(0.3, 15000),\n",
        "    xytext=(30,0),\n",
        "    textcoords='offset points',\n",
        "    color=LARANJA,\n",
        "    fontsize=15,\n",
        "    fontweight='semibold'\n",
        "            )\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 365
        },
        "id": "pOufeRoyaAb4",
        "outputId": "af4d5ebf-077d-44a3-86b0-7af3e295461f"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Distribuição da variável alvo em valores absolutos\n",
        "print(df.Class.value_counts())\n",
        "# Distribuição da variável alvo em porcentagem\n",
        "print(df.Class.value_counts(normalize=True))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Rsfixb4QaC8o",
        "outputId": "0eebed28-79bf-4b29-b8c4-d077bed38b24"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0    284315\n",
            "1       492\n",
            "Name: Class, dtype: int64\n",
            "0    0.998273\n",
            "1    0.001727\n",
            "Name: Class, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.Time.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RX-IRm9taJ3w",
        "outputId": "df233242-2f01-41b1-83d4-550ccdcca1a1"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "163152.0    36\n",
              "64947.0     26\n",
              "68780.0     25\n",
              "3767.0      21\n",
              "3770.0      20\n",
              "            ..\n",
              "127750.0     1\n",
              "62260.0      1\n",
              "62259.0      1\n",
              "127753.0     1\n",
              "172792.0     1\n",
              "Name: Time, Length: 124592, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(8,4))\n",
        "fig.patch.set_facecolor(BRANCO)\n",
        "sns.histplot(data=df[df['Class']==0], x='Time', color=AZUL, ax=ax)\n",
        "ax.text(-22000, 9000, 'Transações', color=CINZA_ESCURO, fontsize=18, fontweight='semibold')\n",
        "ax.text(28500, 9000, 'não fraudulentas', color=AZUL, fontsize=18, fontweight='semibold')\n",
        "ax.text(105000, 9000, 'no tempo.', color=CINZA_ESCURO, fontsize=18, fontweight='semibold')\n",
        "ax.spines['top'].set_visible(False)\n",
        "ax.spines['right'].set_visible(False)\n",
        "ax.spines['bottom'].set_color(CINZA_ESCURO)\n",
        "ax.spines['left'].set_color(CINZA_ESCURO)\n",
        "ax.tick_params(colors=CINZA_ESCURO)\n",
        "ax.set_xlabel(xlabel='Time', x=0.0, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_ylabel(ylabel='Count', y=0.9, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_facecolor(BRANCO_GELO)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 324
        },
        "id": "75iQ7PZFaMWS",
        "outputId": "6becf006-96f0-4b96-bce8-a9a7e484888d"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(8,4))\n",
        "fig.patch.set_facecolor(BRANCO)\n",
        "sns.histplot(data=df[df['Class']==1], x='Time', color=AZUL, ax=ax, bins=50)\n",
        "ax.text(-14000, 40, \"Transações\",color=CINZA_ESCURO, fontsize=18, fontweight='semibold')\n",
        "ax.text(36000, 40, \"fraudulentas\",color=AZUL, fontsize=18, fontweight='semibold')\n",
        "ax.text(93000, 40, \"no tempo.\",color=CINZA_ESCURO, fontsize=18, fontweight='semibold')\n",
        "ax.spines['top'].set_visible(False)\n",
        "ax.spines['right'].set_visible(False)\n",
        "ax.spines['bottom'].set_color(CINZA_ESCURO)\n",
        "ax.spines['left'].set_color(CINZA_ESCURO)\n",
        "ax.tick_params(colors=CINZA_ESCURO)\n",
        "ax.set_xlabel(xlabel='Time', x=0.0, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_ylabel(ylabel='Count', y=0.9, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_facecolor(BRANCO_GELO)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 333
        },
        "id": "oIUf6LvDaRsH",
        "outputId": "769b105f-1c3a-43c1-dda6-bc7230093aca"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(8,4))\n",
        "fig.patch.set_facecolor(BRANCO)\n",
        "sns.histplot(data=df[df['Class']==0], x='Time', color=AZUL, bins=50)\n",
        "sns.histplot(data=df[df['Class']==1], x='Time', color=LARANJA, bins=50)\n",
        "ax.text(-19000, 35000, \"Transações\",color=CINZA_ESCURO, fontsize=18, fontweight='semibold')\n",
        "ax.text(31000, 35000, \"normais\",color=AZUL, fontsize=18, fontweight='semibold')\n",
        "ax.text(67900, 35000, \"e\",color=CINZA_ESCURO, fontsize=18, fontweight='semibold')\n",
        "ax.text(77000, 35000, \"fraudulentas\",color=LARANJA, fontsize=18, fontweight='semibold')\n",
        "ax.text(131600, 35000, \".\",color=CINZA_ESCURO, fontsize=18, fontweight='semibold')\n",
        "ax.text(-0.03, -0.35, \"O eixo y foi convertido em escala logarítmica para melhor\\nvisualização das transações fraudulentas.\", fontsize=12, color=CINZA_ESCURO, transform=ax.transAxes)\n",
        "ax.spines['top'].set_visible(False)\n",
        "ax.spines['right'].set_visible(False)\n",
        "ax.spines['bottom'].set_color(CINZA_ESCURO)\n",
        "ax.spines['left'].set_color(CINZA_ESCURO)\n",
        "ax.set_xlabel(xlabel='Time', x=0.0, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_ylabel(ylabel='Count', y=0.9, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.tick_params(colors=CINZA_ESCURO)\n",
        "ax.set_facecolor(BRANCO_GELO)\n",
        "ax.set_yscale('log')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 358
        },
        "id": "XsIc9HuNaV-g",
        "outputId": "e01fd4b2-1b96-4511-f952-ddca41f1510a"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(8,4))\n",
        "fig.patch.set_facecolor(BRANCO)\n",
        "sns.histplot(data=df[df['Class']==0], x='Amount', color=AZUL, bins=70)\n",
        "ax.text(-4000, 305000, \"Histograma de quantia\",color=CINZA_ESCURO, fontsize=18, fontweight='semibold')\n",
        "ax.text(11000, 305000, \"não fraudulenta.\",color=AZUL, fontsize=18, fontweight='semibold')\n",
        "ax.spines['top'].set_visible(False)\n",
        "ax.spines['right'].set_visible(False)\n",
        "ax.spines['bottom'].set_color(CINZA_ESCURO)\n",
        "ax.spines['left'].set_color(CINZA_ESCURO)\n",
        "ax.tick_params(colors=CINZA_ESCURO)\n",
        "ax.set_xlabel(xlabel='Time', x=0.0, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_ylabel(ylabel='Count', y=0.9, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_facecolor(BRANCO_GELO)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 316
        },
        "id": "LctFpDglaY53",
        "outputId": "3307e3a2-6dc6-4fe8-b627-2cd5fefff522"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(8,4))\n",
        "fig.patch.set_facecolor(BRANCO)\n",
        "sns.histplot(data=df[df['Class']==1], x='Amount', color=AZUL, ax=ax)\n",
        "ax.text(-210, 310, \"Histograma de quantia\",color=CINZA_ESCURO, fontsize=18, fontweight='semibold')\n",
        "ax.text(1030, 310, \"fraudulenta.\",color=AZUL, fontsize=18, fontweight='semibold')\n",
        "ax.spines['top'].set_visible(False)\n",
        "ax.spines['right'].set_visible(False)\n",
        "ax.spines['bottom'].set_color(CINZA_ESCURO)\n",
        "ax.spines['left'].set_color(CINZA_ESCURO)\n",
        "ax.tick_params(colors=CINZA_ESCURO)\n",
        "ax.set_xlabel(xlabel='Time', x=0.0, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_ylabel(ylabel='Count', y=0.9, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_facecolor(BRANCO_GELO)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "Q_cxtrIoadgw",
        "outputId": "976be6f9-ebdc-47e4-8ebf-cd9df2497703"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A maior concentração de valores transacionados estão com valores **ZERADOS**. É preciso uma melhor investigação sobre esse fato. Por que pessoas estariam transacionando um valor de ZERO? Ou seria um erro de arredondamento no app, e entre outras possíveis alternativas de resposta."
      ],
      "metadata": {
        "id": "vE082n3KnHZb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(8,4))\n",
        "fig.patch.set_facecolor(BRANCO)\n",
        "sns.boxplot(data=df[df['Class']==1], x='Amount', color=AZUL, saturation=0.65)\n",
        "ax.text(-110, -0.6, \"Boxplot de quantia fraudulenta.\",color=CINZA_ESCURO, fontsize=18, fontweight='semibold')\n",
        "ax.spines['top'].set_visible(False)\n",
        "ax.spines['right'].set_visible(False)\n",
        "ax.spines['left'].set_visible(False)\n",
        "ax.spines['bottom'].set_color(CINZA_ESCURO)\n",
        "ax.tick_params(colors=CINZA_ESCURO, left=False)\n",
        "ax.set_xlabel(xlabel='Quantia', x=0.04, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_facecolor(BRANCO_GELO)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 321
        },
        "id": "WiTvwMV6agSv",
        "outputId": "2678914b-b9d0-4dcd-e271-6673a53339dd"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Correlação** não necessariamente é uma **relação de causa e efeito**, mas pode nos apresentar bons *insights* para análise e modelagem do problema."
      ],
      "metadata": {
        "id": "hz2GBbIEn8hv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_corr = df.corr()\n",
        "df_corr = df_corr.where(np.tril(np.ones(df_corr.shape)).astype(bool))"
      ],
      "metadata": {
        "id": "5UVu45Qnai3g"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(30,15)) \n",
        "ax = sns.heatmap(df_corr, annot=True, cmap='Blues', ax=ax, fmt='.2f')\n",
        "ax.set_xticklabels(df_corr.columns, rotation=0)\n",
        "ax.set_title('Correlação de Pearson');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 879
        },
        "id": "O2a4h8xJalzI",
        "outputId": "07d7cd14-85c1-4123-d876-28a7afee0d86"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2160x1080 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A variável Amount e V2 possue uma correlação negativa considerável em relação a outras correlações do dataset. Abaixo temos uma dispersão dessas duas *features*."
      ],
      "metadata": {
        "id": "VzgRk-W_opUQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(8,4))\n",
        "fig.patch.set_facecolor(BRANCO)\n",
        "sns.scatterplot(data=df, x='Amount', y='V2', hue='Class')\n",
        "ax.text(-1500, 35, \"Dispersão entre a quantia e V2.\",color=CINZA_ESCURO, fontsize=18, fontweight='semibold')\n",
        "ax.spines['top'].set_visible(False)\n",
        "ax.spines['right'].set_visible(False)\n",
        "ax.spines['bottom'].set_color(CINZA_ESCURO)\n",
        "ax.spines['left'].set_color(CINZA_ESCURO)\n",
        "ax.tick_params(colors=CINZA_ESCURO)\n",
        "ax.set_xlabel(xlabel='Quantia', x=0.04, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_ylabel(ylabel='V2', y=0.9, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_facecolor(BRANCO_GELO)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 316
        },
        "id": "7qirJLPlaoL3",
        "outputId": "cf41f906-77e7-46d5-cf9c-05c90152a036"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Percebemos que Amount e V7 possuem uma correlação positiva interessante."
      ],
      "metadata": {
        "id": "9VGr-YZVsTdD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(8,4))\n",
        "fig.patch.set_facecolor(BRANCO)\n",
        "sns.scatterplot(data=df, x='Amount', y='V7', hue='Class')\n",
        "ax.text(-1500, 150, \"Dispersão entre Amount e V7.\",color=CINZA_ESCURO, fontsize=18, fontweight='semibold')\n",
        "ax.spines['top'].set_visible(False)\n",
        "ax.spines['right'].set_visible(False)\n",
        "ax.spines['bottom'].set_color(CINZA_ESCURO)\n",
        "ax.spines['left'].set_color(CINZA_ESCURO)\n",
        "ax.tick_params(colors=CINZA_ESCURO)\n",
        "ax.set_xlabel(xlabel='Amount', x=0.04, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_ylabel(ylabel='V7', y=0.9, labelpad=10, color=CINZA_ESCURO)\n",
        "ax.set_facecolor(BRANCO_GELO)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 325
        },
        "id": "oPzrTZTpaq9K",
        "outputId": "77632609-1c48-47a3-ab62-c7d7cf77220d"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Conclusões**\n",
        "\n",
        "* A variável alvo do dataset possue um **desbalanceamento** considerável.\n",
        "\n",
        "* Os dados não possuem valores faltantes.\n",
        "\n",
        "* A variável Amount possue muitos valores **ZEROS**, o que desperta uma curiosidade para investigar melhor o por quê desse fato. Porém não temos como analisar isso, já que as *features* estão anônimizadas.\n",
        "\n",
        "* Temos uma correlação interessante entre Amount e V2 e Amount e V7."
      ],
      "metadata": {
        "id": "4Q1WiRlCs0iw"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Referências**\n",
        "\n",
        "* https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud\n",
        "\n",
        "* https://extra.globo.com/economia-e-financas/brasil-registra-mais-de-mil-tentativas-de-fraudes-financeiras-digitais-por-hora-aponta-pesquisa-25554716.html\n",
        "\n",
        "* https://economia.uol.com.br/noticias/estadao-conteudo/2022/08/08/golpes-bancarios-disparam-e-devem-gerar-prejuizos-de-r-25-bilhoes-neste-ano.htm#:~:text=Golpes%20banc%C3%A1rios%20disparam%20e%20devem,2%2C5%20bilh%C3%B5es%20neste%20ano&text=O%20volume%20de%20golpes%20no,2%2C5%20bilh%C3%B5es%20neste%20ano."
      ],
      "metadata": {
        "id": "ZJ_cAOFXy0Gl"
      }
    }
  ]
}