diff --git a/DesafioDIO_ETL.ipynb b/DesafioDIO_ETL.ipynb
new file mode 100644
index 0000000..2d10978
--- /dev/null
+++ b/DesafioDIO_ETL.ipynb
@@ -0,0 +1,1255 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "JqxdSj5j0yuY",
+        "outputId": "e84b321c-9593-4962-f1c8-4d3baba0ea9b"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Writing banco.csv\n"
+          ]
+        }
+      ],
+      "source": [
+        "%%writefile banco.csv\n",
+        "age,job,marital,education,default,balance,housing,loan\n",
+        "34,unemployed,single,primary,no,1587,no,yes\n",
+        "34,services,married,secondary,no,3789,yes,yes\n",
+        "31,management,single,tertiary,no,1850,yes,no\n",
+        "32,management,married,tertiary,no,1476,yes,no\n",
+        "39,blue-collar,married,secondary,no,0,yes,no\n",
+        "35,management,single,tertiary,no,747,no,no\n",
+        "36,self-employed,married,tertiary,no,307,yes,no\n",
+        "38,technician,single,secondary,no,147,no,no\n",
+        "42,entrepreneur,married,tertiary,no,221,yes,no\n",
+        "45,services,married,primary,no,-88,,yes"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd"
+      ],
+      "metadata": {
+        "id": "14rznqrx1FcU"
+      },
+      "execution_count": 2,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df = pd.read_csv('banco.csv', na_values='na')"
+      ],
+      "metadata": {
+        "id": "8FXN7Il81MPL"
+      },
+      "execution_count": 4,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df.head(n=10)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 362
+        },
+        "id": "xyudAlDR1Nva",
+        "outputId": "dc08e3c3-86f8-4b57-80e7-a6e44bc78265"
+      },
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "   age            job  marital  education default  balance housing loan\n",
+              "0   34     unemployed   single    primary      no     1587      no  yes\n",
+              "1   34       services  married  secondary      no     3789     yes  yes\n",
+              "2   31     management   single   tertiary      no     1850     yes   no\n",
+              "3   32     management  married   tertiary      no     1476     yes   no\n",
+              "4   39    blue-collar  married  secondary      no        0     yes   no\n",
+              "5   35     management   single   tertiary      no      747      no   no\n",
+              "6   36  self-employed  married   tertiary      no      307     yes   no\n",
+              "7   38     technician   single  secondary      no      147      no   no\n",
+              "8   42   entrepreneur  married   tertiary      no      221     yes   no\n",
+              "9   45       services  married    primary      no      -88     NaN  yes"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-aa703d8c-a0d4-4474-91b8-16e85b492d54\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
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+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
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+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>age</th>\n",
+              "      <th>job</th>\n",
+              "      <th>marital</th>\n",
+              "      <th>education</th>\n",
+              "      <th>default</th>\n",
+              "      <th>balance</th>\n",
+              "      <th>housing</th>\n",
+              "      <th>loan</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>34</td>\n",
+              "      <td>unemployed</td>\n",
+              "      <td>single</td>\n",
+              "      <td>primary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>1587</td>\n",
+              "      <td>no</td>\n",
+              "      <td>yes</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>34</td>\n",
+              "      <td>services</td>\n",
+              "      <td>married</td>\n",
+              "      <td>secondary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>3789</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>yes</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>31</td>\n",
+              "      <td>management</td>\n",
+              "      <td>single</td>\n",
+              "      <td>tertiary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>1850</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>32</td>\n",
+              "      <td>management</td>\n",
+              "      <td>married</td>\n",
+              "      <td>tertiary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>1476</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>39</td>\n",
+              "      <td>blue-collar</td>\n",
+              "      <td>married</td>\n",
+              "      <td>secondary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>0</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>35</td>\n",
+              "      <td>management</td>\n",
+              "      <td>single</td>\n",
+              "      <td>tertiary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>747</td>\n",
+              "      <td>no</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>36</td>\n",
+              "      <td>self-employed</td>\n",
+              "      <td>married</td>\n",
+              "      <td>tertiary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>307</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>38</td>\n",
+              "      <td>technician</td>\n",
+              "      <td>single</td>\n",
+              "      <td>secondary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>147</td>\n",
+              "      <td>no</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>42</td>\n",
+              "      <td>entrepreneur</td>\n",
+              "      <td>married</td>\n",
+              "      <td>tertiary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>221</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9</th>\n",
+              "      <td>45</td>\n",
+              "      <td>services</td>\n",
+              "      <td>married</td>\n",
+              "      <td>primary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>-88</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>yes</td>\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
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+              "      width: 32px;\n",
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+              "\n",
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+              "      background-color: #E2EBFA;\n",
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+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-aa703d8c-a0d4-4474-91b8-16e85b492d54 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-aa703d8c-a0d4-4474-91b8-16e85b492d54');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
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+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
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+              "\n",
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+              "      border-bottom-color: var(--fill-color);\n",
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+              "\n",
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+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-4dd3bd31-4730-4f64-a6f7-6556f7bbb82c button');\n",
+              "      quickchartButtonEl.style.display =\n",
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+              "    })();\n",
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+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 5
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df.dtypes"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Z2eOai5X1Qv6",
+        "outputId": "1f5876f9-2b58-4610-e84d-6c342f8c31cf"
+      },
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "age           int64\n",
+              "job          object\n",
+              "marital      object\n",
+              "education    object\n",
+              "default      object\n",
+              "balance       int64\n",
+              "housing      object\n",
+              "loan         object\n",
+              "dtype: object"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 6
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df.select_dtypes('object').describe().transpose()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 237
+        },
+        "id": "FuFA7xQU1R3X",
+        "outputId": "a8069f88-b544-447c-cf41-d4d8a49bcfea"
+      },
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "          count unique         top freq\n",
+              "job          10      7  management    3\n",
+              "marital      10      2     married    6\n",
+              "education    10      3    tertiary    5\n",
+              "default      10      1          no   10\n",
+              "housing       9      2         yes    6\n",
+              "loan         10      2          no    7"
+            ],
+            "text/html": [
+              "\n",
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+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>count</th>\n",
+              "      <th>unique</th>\n",
+              "      <th>top</th>\n",
+              "      <th>freq</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>job</th>\n",
+              "      <td>10</td>\n",
+              "      <td>7</td>\n",
+              "      <td>management</td>\n",
+              "      <td>3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>marital</th>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>married</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>education</th>\n",
+              "      <td>10</td>\n",
+              "      <td>3</td>\n",
+              "      <td>tertiary</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>default</th>\n",
+              "      <td>10</td>\n",
+              "      <td>1</td>\n",
+              "      <td>no</td>\n",
+              "      <td>10</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>housing</th>\n",
+              "      <td>9</td>\n",
+              "      <td>2</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>loan</th>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>no</td>\n",
+              "      <td>7</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f49b13bf-435f-418c-9a45-4e8833fd6053')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-f49b13bf-435f-418c-9a45-4e8833fd6053 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-f49b13bf-435f-418c-9a45-4e8833fd6053');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-3c88c09c-d4f7-4e34-b9dc-1dfda95d5b73\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3c88c09c-d4f7-4e34-b9dc-1dfda95d5b73')\"\n",
+              "            title=\"Suggest charts.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-3c88c09c-d4f7-4e34-b9dc-1dfda95d5b73 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 7
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df.isna().any()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Wds8rTRQ1UeG",
+        "outputId": "a38cdefd-fddc-42cd-dffe-b6c1cb552136"
+      },
+      "execution_count": 8,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "age          False\n",
+              "job          False\n",
+              "marital      False\n",
+              "education    False\n",
+              "default      False\n",
+              "balance      False\n",
+              "housing       True\n",
+              "loan         False\n",
+              "dtype: bool"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 8
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df.dropna(inplace=True)"
+      ],
+      "metadata": {
+        "id": "X-UghV8_1WRu"
+      },
+      "execution_count": 9,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df.head(n=10)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 331
+        },
+        "id": "p4KdHbku1X6o",
+        "outputId": "6a846276-7eb1-4286-a148-71032e369618"
+      },
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "   age            job  marital  education default  balance housing loan\n",
+              "0   34     unemployed   single    primary      no     1587      no  yes\n",
+              "1   34       services  married  secondary      no     3789     yes  yes\n",
+              "2   31     management   single   tertiary      no     1850     yes   no\n",
+              "3   32     management  married   tertiary      no     1476     yes   no\n",
+              "4   39    blue-collar  married  secondary      no        0     yes   no\n",
+              "5   35     management   single   tertiary      no      747      no   no\n",
+              "6   36  self-employed  married   tertiary      no      307     yes   no\n",
+              "7   38     technician   single  secondary      no      147      no   no\n",
+              "8   42   entrepreneur  married   tertiary      no      221     yes   no"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-5f8f08ad-8554-423d-b6d9-f25ab50673e0\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>age</th>\n",
+              "      <th>job</th>\n",
+              "      <th>marital</th>\n",
+              "      <th>education</th>\n",
+              "      <th>default</th>\n",
+              "      <th>balance</th>\n",
+              "      <th>housing</th>\n",
+              "      <th>loan</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>34</td>\n",
+              "      <td>unemployed</td>\n",
+              "      <td>single</td>\n",
+              "      <td>primary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>1587</td>\n",
+              "      <td>no</td>\n",
+              "      <td>yes</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>34</td>\n",
+              "      <td>services</td>\n",
+              "      <td>married</td>\n",
+              "      <td>secondary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>3789</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>yes</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>31</td>\n",
+              "      <td>management</td>\n",
+              "      <td>single</td>\n",
+              "      <td>tertiary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>1850</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>32</td>\n",
+              "      <td>management</td>\n",
+              "      <td>married</td>\n",
+              "      <td>tertiary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>1476</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>39</td>\n",
+              "      <td>blue-collar</td>\n",
+              "      <td>married</td>\n",
+              "      <td>secondary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>0</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>35</td>\n",
+              "      <td>management</td>\n",
+              "      <td>single</td>\n",
+              "      <td>tertiary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>747</td>\n",
+              "      <td>no</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>36</td>\n",
+              "      <td>self-employed</td>\n",
+              "      <td>married</td>\n",
+              "      <td>tertiary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>307</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>38</td>\n",
+              "      <td>technician</td>\n",
+              "      <td>single</td>\n",
+              "      <td>secondary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>147</td>\n",
+              "      <td>no</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>42</td>\n",
+              "      <td>entrepreneur</td>\n",
+              "      <td>married</td>\n",
+              "      <td>tertiary</td>\n",
+              "      <td>no</td>\n",
+              "      <td>221</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>no</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5f8f08ad-8554-423d-b6d9-f25ab50673e0')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-5f8f08ad-8554-423d-b6d9-f25ab50673e0 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-5f8f08ad-8554-423d-b6d9-f25ab50673e0');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-0d870e16-69ea-4145-9a32-c426ea7cf49b\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0d870e16-69ea-4145-9a32-c426ea7cf49b')\"\n",
+              "            title=\"Suggest charts.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-0d870e16-69ea-4145-9a32-c426ea7cf49b button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 10
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "idades = []\n",
+        "with open(file='idades.csv', mode='w', encoding='utf8') as fp:\n",
+        "  linha = 'idade' + '\\n'\n",
+        "  fp.write(linha)\n",
+        "  for idade in idades:\n",
+        "    linha = str(idade) + '\\n'\n",
+        "    fp.write(linha)"
+      ],
+      "metadata": {
+        "id": "_B4FBmxI1mYG"
+      },
+      "execution_count": 13,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file
diff --git a/README.md b/README.md
index 6dc7e61..3f73402 100644
--- a/README.md
+++ b/README.md
@@ -1,66 +1,62 @@
 # Santander Dev Week 2023 Java API
 
-RESTful API da Santander Dev Week 2023 construída em Java 17 com Spring Boot 3.
-
-## Principais Tecnologias
- - **Java 17**: Utilizaremos a versão LTS mais recente do Java para tirar vantagem das últimas inovações que essa linguagem robusta e amplamente utilizada oferece;
- - **Spring Boot 3**: Trabalharemos com a mais nova versão do Spring Boot, que maximiza a produtividade do desenvolvedor por meio de sua poderosa premissa de autoconfiguração;
- - **Spring Data JPA**: Exploraremos como essa ferramenta pode simplificar nossa camada de acesso aos dados, facilitando a integração com bancos de dados SQL;
- - **OpenAPI (Swagger)**: Vamos criar uma documentação de API eficaz e fácil de entender usando a OpenAPI (Swagger), perfeitamente alinhada com a alta produtividade que o Spring Boot oferece;
- - **Railway**: facilita o deploy e monitoramento de nossas soluções na nuvem, além de oferecer diversos bancos de dados como serviço e pipelines de CI/CD.
-
-## [Link do Figma](https://www.figma.com/file/0ZsjwjsYlYd3timxqMWlbj/SANTANDER---Projeto-Web%2FMobile?type=design&node-id=1421%3A432&mode=design&t=6dPQuerScEQH0zAn-1)
-
-O Figma foi utilizado para a abstração do domínio desta API, sendo útil na análise e projeto da solução.
-
-## Diagrama de Classes (Domínio da API)
-
-```mermaid
-classDiagram
-  class User {
-    -String name
-    -Account account
-    -Feature[] features
-    -Card card
-    -News[] news
-  }
-
-  class Account {
-    -String number
-    -String agency
-    -Number balance
-    -Number limit
-  }
-
-  class Feature {
-    -String icon
-    -String description
-  }
-
-  class Card {
-    -String number
-    -Number limit
-  }
-
-  class News {
-    -String icon
-    -String description
-  }
-
-  User "1" *-- "1" Account
-  User "1" *-- "N" Feature
-  User "1" *-- "1" Card
-  User "1" *-- "N" News
-```
-
-## Documentação da API (Swagger)
-
-### [https://sdw-2023-prd.up.railway.app/swagger-ui.html](https://sdw-2023-prd.up.railway.app/swagger-ui.html)
-
-Esta API ficará disponível no Railway por um período de tempo limitado, mas este é um código-fonte aberto. Portanto, sintam-se à vontade para cloná-lo, modificá-lo (já que é um bom projeto base para novos projetos) e executar localmente ou onde achar mais interessante! Só não esquece de marcar a gente quando divulgar a sua solução 🥰
-
-### IMPORTANTE
-
-Aos interessados no desenvolvimento da tela inicial do App do Santander (Figma) em Angular, Android, iOS ou Flutter... Caso a URL produtiva não esteja mais disponível, deixamos um Backup no GitHub Pages, é só dar um GET lá 😘
-- URL de Produção: https://sdw-2023-prd.up.railway.app/users/1
-- Mock (Backup): https://digitalinnovationone.github.io/santander-dev-week-2023-api/mocks/find_one.json
+Desafio: "Explorando IA Generativa em um Pipeline de ETL com Python" parte do Santander Bootcamp 2023 - Ciência de Dados com Python
+
+## Etapas Realizadas
+Arquivo CSV criado usando googgle collab:
+
+%%writefile banco.csv
+age,job,marital,education,default,balance,housing,loan
+34,unemployed,single,primary,no,1587,no,yes
+34,services,married,secondary,no,3789,yes,yes
+31,management,single,tertiary,no,1850,yes,no
+32,management,married,tertiary,no,1476,yes,no
+39,blue-collar,married,secondary,no,0,yes,no
+35,management,single,tertiary,no,747,no,no
+36,self-employed,married,tertiary,no,307,yes,no
+38,technician,single,secondary,no,147,no,no
+42,entrepreneur,married,tertiary,no,221,yes,no
+45,services,married,primary,no,-88,,yes
+
+
+#### Extração
+Extrair as informações de idades do arquivo anterior:
+
+import pandas as pd
+df = pd.read_csv('banco.csv', na_values='na')
+df.head(n=10)
+
+Analisando as informações
+
+df.dtypes
+df.select_dtypes('object').describe().transpose()
+
+#### Transform
+
+Verificar se alguma coluna tem info faltante:
+df.isna().any()
+
+Remover a linha com informação incompleta:
+df.dropna(inplace=True)
+
+Revisar informações após ajuste:
+df.head(n=10)
+
+#### Load
+
+Extrair as informações de idades do arquivo aque foi ajustado e salvar como novo arquivo:
+
+idades = []
+with open(file='idades.csv', mode='w', encoding='utf8') as fp:
+  linha = 'idade' + '\n'
+  fp.write(linha)
+  for idade in idades:
+    linha = str(idade) + '\n'
+    fp.write(linha)
+
+  
+
+    
+
+
+