AluraImersaoDados3.ipynb

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  "metadata": {
    "colab": {
      "name": "AluraImersaoDados3.ipynb",
      "provenance": [],
      "toc_visible": true,
      "authorship_tag": "ABX9TyOCTmX3F2byp/tNGwj9Ava3",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/johnatanDM/imersaoDadosAlura/blob/main/AluraImersaoDados3.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0UGxeigwZf29"
      },
      "source": [
        "#Aula 1"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zZ5ORmEX_WuG"
      },
      "source": [
        "Importar Bibliotecas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L98iPjxj_SiM"
      },
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fM2sKEy1_cUI"
      },
      "source": [
        "Baixar o dataset que vamos trabalhar"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 251
        },
        "id": "QNBKPQWc_jb5",
        "outputId": "4ec41617-b5df-4f54-e2a1-c36b2bdfc89f"
      },
      "source": [
        "dados = pd.read_csv('https://github.com/alura-cursos/imersaodados3/blob/main/dados/dados_experimentos.zip?raw=true', compression='zip')\n",
        "dados.head()"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>0</th>\n",
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              "      <td>24</td>\n",
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              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
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              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
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              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
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              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
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              "      <td>-1.1360</td>\n",
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              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
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              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
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              "      <td>D1</td>\n",
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              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
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              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
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              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
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              "      <td>-0.3104</td>\n",
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              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.1220</td>\n",
              "      <td>-0.3752</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id tratamento  tempo dose  ...    c-96    c-97    c-98    c-99\n",
              "0  id_000644bb2  com_droga     24   D1  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1  id_000779bfc  com_droga     72   D1  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2  id_000a6266a  com_droga     48   D1  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "3  id_0015fd391  com_droga     48   D1  ... -1.6210 -0.8784 -0.3876 -0.8154\n",
              "4  id_001626bd3  com_droga     72   D2  ...  0.1094  0.2885 -0.3786  0.7125\n",
              "\n",
              "[5 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "C83A98nFZqBX"
      },
      "source": [
        "###Respondendo desafio 6: renomear as colunas do dataframe tirando hífen."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 435
        },
        "id": "woNJuHtwYOfE",
        "outputId": "5635351b-5b6e-4b3c-c7bf-eead548d1eca"
      },
      "source": [
        "dados.columns = dados.columns.str.replace('-', '')\n",
        "dados"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>droga</th>\n",
              "      <th>g0</th>\n",
              "      <th>g1</th>\n",
              "      <th>g2</th>\n",
              "      <th>g3</th>\n",
              "      <th>g4</th>\n",
              "      <th>g5</th>\n",
              "      <th>g6</th>\n",
              "      <th>g7</th>\n",
              "      <th>g8</th>\n",
              "      <th>g9</th>\n",
              "      <th>g10</th>\n",
              "      <th>g11</th>\n",
              "      <th>g12</th>\n",
              "      <th>g13</th>\n",
              "      <th>g14</th>\n",
              "      <th>g15</th>\n",
              "      <th>g16</th>\n",
              "      <th>g17</th>\n",
              "      <th>g18</th>\n",
              "      <th>g19</th>\n",
              "      <th>g20</th>\n",
              "      <th>g21</th>\n",
              "      <th>g22</th>\n",
              "      <th>g23</th>\n",
              "      <th>g24</th>\n",
              "      <th>g25</th>\n",
              "      <th>g26</th>\n",
              "      <th>g27</th>\n",
              "      <th>g28</th>\n",
              "      <th>g29</th>\n",
              "      <th>g30</th>\n",
              "      <th>g31</th>\n",
              "      <th>g32</th>\n",
              "      <th>g33</th>\n",
              "      <th>g34</th>\n",
              "      <th>...</th>\n",
              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
              "      <th>c62</th>\n",
              "      <th>c63</th>\n",
              "      <th>c64</th>\n",
              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
              "      <th>c69</th>\n",
              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4805</td>\n",
              "      <td>0.4965</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.1220</td>\n",
              "      <td>-0.3752</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23809</th>\n",
              "      <td>id_fffb1ceed</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>df1d0a5a1</td>\n",
              "      <td>0.1394</td>\n",
              "      <td>-0.0636</td>\n",
              "      <td>-0.1112</td>\n",
              "      <td>-0.5080</td>\n",
              "      <td>-0.4713</td>\n",
              "      <td>0.7201</td>\n",
              "      <td>0.5773</td>\n",
              "      <td>0.3055</td>\n",
              "      <td>-0.4726</td>\n",
              "      <td>0.1269</td>\n",
              "      <td>0.2531</td>\n",
              "      <td>0.1730</td>\n",
              "      <td>-0.4532</td>\n",
              "      <td>-1.0790</td>\n",
              "      <td>0.2474</td>\n",
              "      <td>-0.4550</td>\n",
              "      <td>0.3588</td>\n",
              "      <td>0.1600</td>\n",
              "      <td>-0.7362</td>\n",
              "      <td>-0.1103</td>\n",
              "      <td>0.8550</td>\n",
              "      <td>-0.4139</td>\n",
              "      <td>0.5541</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.5573</td>\n",
              "      <td>-0.4397</td>\n",
              "      <td>-0.9260</td>\n",
              "      <td>-0.2424</td>\n",
              "      <td>-0.6686</td>\n",
              "      <td>0.2326</td>\n",
              "      <td>0.6456</td>\n",
              "      <td>0.0136</td>\n",
              "      <td>-0.5141</td>\n",
              "      <td>-0.6320</td>\n",
              "      <td>0.7166</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0807</td>\n",
              "      <td>0.4024</td>\n",
              "      <td>-0.0895</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9641</td>\n",
              "      <td>-0.1846</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>0.3154</td>\n",
              "      <td>-0.2071</td>\n",
              "      <td>-0.6158</td>\n",
              "      <td>-0.2977</td>\n",
              "      <td>0.0992</td>\n",
              "      <td>0.6838</td>\n",
              "      <td>0.5259</td>\n",
              "      <td>0.7882</td>\n",
              "      <td>0.3119</td>\n",
              "      <td>-0.7697</td>\n",
              "      <td>0.2203</td>\n",
              "      <td>-1.0710</td>\n",
              "      <td>0.5979</td>\n",
              "      <td>0.0848</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.6293</td>\n",
              "      <td>1.1660</td>\n",
              "      <td>0.3329</td>\n",
              "      <td>0.2754</td>\n",
              "      <td>0.4108</td>\n",
              "      <td>-0.1252</td>\n",
              "      <td>-0.2340</td>\n",
              "      <td>0.2267</td>\n",
              "      <td>0.1969</td>\n",
              "      <td>0.0262</td>\n",
              "      <td>-0.8121</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.5372</td>\n",
              "      <td>-0.3246</td>\n",
              "      <td>0.0631</td>\n",
              "      <td>0.9171</td>\n",
              "      <td>0.5258</td>\n",
              "      <td>0.4680</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23810</th>\n",
              "      <td>id_fffb70c0c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>ecf3b6b74</td>\n",
              "      <td>-1.3260</td>\n",
              "      <td>0.3478</td>\n",
              "      <td>-0.3743</td>\n",
              "      <td>0.9905</td>\n",
              "      <td>-0.7178</td>\n",
              "      <td>0.6621</td>\n",
              "      <td>-0.2252</td>\n",
              "      <td>-0.5565</td>\n",
              "      <td>0.5112</td>\n",
              "      <td>0.6727</td>\n",
              "      <td>-0.1851</td>\n",
              "      <td>2.8650</td>\n",
              "      <td>-0.2140</td>\n",
              "      <td>-0.6153</td>\n",
              "      <td>0.8362</td>\n",
              "      <td>0.5584</td>\n",
              "      <td>-0.2589</td>\n",
              "      <td>0.1292</td>\n",
              "      <td>0.0148</td>\n",
              "      <td>0.0949</td>\n",
              "      <td>-0.2182</td>\n",
              "      <td>-0.9235</td>\n",
              "      <td>0.0749</td>\n",
              "      <td>-1.5910</td>\n",
              "      <td>-0.8359</td>\n",
              "      <td>-0.9217</td>\n",
              "      <td>0.3013</td>\n",
              "      <td>0.1716</td>\n",
              "      <td>0.0880</td>\n",
              "      <td>0.1842</td>\n",
              "      <td>0.1835</td>\n",
              "      <td>0.5436</td>\n",
              "      <td>-0.0533</td>\n",
              "      <td>-0.0491</td>\n",
              "      <td>0.9543</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1410</td>\n",
              "      <td>1.2640</td>\n",
              "      <td>-0.8663</td>\n",
              "      <td>0.8129</td>\n",
              "      <td>-0.1514</td>\n",
              "      <td>-0.4652</td>\n",
              "      <td>-0.7390</td>\n",
              "      <td>-1.3270</td>\n",
              "      <td>0.9925</td>\n",
              "      <td>1.0570</td>\n",
              "      <td>-0.3355</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.8219</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>-0.2942</td>\n",
              "      <td>0.2408</td>\n",
              "      <td>-0.7781</td>\n",
              "      <td>-0.0929</td>\n",
              "      <td>-0.0329</td>\n",
              "      <td>0.0781</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>0.3188</td>\n",
              "      <td>-1.1080</td>\n",
              "      <td>0.4895</td>\n",
              "      <td>-0.2144</td>\n",
              "      <td>1.0960</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.4444</td>\n",
              "      <td>-1.1130</td>\n",
              "      <td>0.4286</td>\n",
              "      <td>0.4426</td>\n",
              "      <td>0.0423</td>\n",
              "      <td>-0.3195</td>\n",
              "      <td>-0.8086</td>\n",
              "      <td>-0.9798</td>\n",
              "      <td>-0.2084</td>\n",
              "      <td>-0.1224</td>\n",
              "      <td>-0.2715</td>\n",
              "      <td>0.3689</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6845</td>\n",
              "      <td>0.7127</td>\n",
              "      <td>0.7294</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>id_fffcb9e7c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.4392</td>\n",
              "      <td>0.2044</td>\n",
              "      <td>0.8531</td>\n",
              "      <td>-0.0343</td>\n",
              "      <td>0.0323</td>\n",
              "      <td>0.0463</td>\n",
              "      <td>0.4299</td>\n",
              "      <td>-0.7985</td>\n",
              "      <td>0.5742</td>\n",
              "      <td>0.1421</td>\n",
              "      <td>2.2700</td>\n",
              "      <td>0.2046</td>\n",
              "      <td>0.5363</td>\n",
              "      <td>-1.7330</td>\n",
              "      <td>0.1450</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.2024</td>\n",
              "      <td>0.9865</td>\n",
              "      <td>-0.7805</td>\n",
              "      <td>0.9608</td>\n",
              "      <td>0.3440</td>\n",
              "      <td>2.7650</td>\n",
              "      <td>0.4925</td>\n",
              "      <td>0.6698</td>\n",
              "      <td>0.2374</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.8771</td>\n",
              "      <td>-2.6560</td>\n",
              "      <td>-0.2000</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.6797</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>-0.0927</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3360</td>\n",
              "      <td>-0.6136</td>\n",
              "      <td>0.5011</td>\n",
              "      <td>0.9261</td>\n",
              "      <td>0.4419</td>\n",
              "      <td>0.0295</td>\n",
              "      <td>0.4220</td>\n",
              "      <td>0.4677</td>\n",
              "      <td>-0.1184</td>\n",
              "      <td>0.4524</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.1356</td>\n",
              "      <td>-0.5801</td>\n",
              "      <td>0.0411</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>-0.0270</td>\n",
              "      <td>-0.4194</td>\n",
              "      <td>0.7403</td>\n",
              "      <td>-0.6793</td>\n",
              "      <td>-0.1423</td>\n",
              "      <td>0.7307</td>\n",
              "      <td>0.7946</td>\n",
              "      <td>-0.0650</td>\n",
              "      <td>0.9038</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.9676</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.5187</td>\n",
              "      <td>-0.1105</td>\n",
              "      <td>0.4258</td>\n",
              "      <td>-0.2012</td>\n",
              "      <td>0.1506</td>\n",
              "      <td>1.5230</td>\n",
              "      <td>0.7101</td>\n",
              "      <td>0.1732</td>\n",
              "      <td>0.7015</td>\n",
              "      <td>-0.6290</td>\n",
              "      <td>0.0740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23813</th>\n",
              "      <td>id_ffffdd77b</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>972f41291</td>\n",
              "      <td>-0.8598</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>-0.1361</td>\n",
              "      <td>0.7952</td>\n",
              "      <td>-0.3611</td>\n",
              "      <td>-3.6750</td>\n",
              "      <td>-1.2420</td>\n",
              "      <td>0.9146</td>\n",
              "      <td>3.0790</td>\n",
              "      <td>1.2460</td>\n",
              "      <td>1.9460</td>\n",
              "      <td>1.4370</td>\n",
              "      <td>2.9780</td>\n",
              "      <td>2.2370</td>\n",
              "      <td>-0.6818</td>\n",
              "      <td>0.6870</td>\n",
              "      <td>-1.1060</td>\n",
              "      <td>0.0182</td>\n",
              "      <td>-0.9247</td>\n",
              "      <td>-0.0738</td>\n",
              "      <td>-0.1919</td>\n",
              "      <td>-0.7722</td>\n",
              "      <td>-1.4050</td>\n",
              "      <td>-1.0050</td>\n",
              "      <td>-1.1170</td>\n",
              "      <td>-0.5293</td>\n",
              "      <td>-1.1720</td>\n",
              "      <td>-0.2885</td>\n",
              "      <td>0.1599</td>\n",
              "      <td>-0.4250</td>\n",
              "      <td>0.3591</td>\n",
              "      <td>-0.1420</td>\n",
              "      <td>-0.9530</td>\n",
              "      <td>-0.2005</td>\n",
              "      <td>-1.8340</td>\n",
              "      <td>...</td>\n",
              "      <td>-6.9170</td>\n",
              "      <td>-1.8640</td>\n",
              "      <td>-2.5090</td>\n",
              "      <td>-4.7130</td>\n",
              "      <td>-1.7250</td>\n",
              "      <td>-3.8650</td>\n",
              "      <td>-3.0800</td>\n",
              "      <td>-4.1530</td>\n",
              "      <td>-1.2030</td>\n",
              "      <td>-1.1690</td>\n",
              "      <td>-4.1460</td>\n",
              "      <td>-1.2670</td>\n",
              "      <td>-1.1300</td>\n",
              "      <td>-2.4390</td>\n",
              "      <td>0.1591</td>\n",
              "      <td>-2.2490</td>\n",
              "      <td>-2.5860</td>\n",
              "      <td>-1.9520</td>\n",
              "      <td>-2.1810</td>\n",
              "      <td>-4.6690</td>\n",
              "      <td>-3.9450</td>\n",
              "      <td>-2.9560</td>\n",
              "      <td>-2.7930</td>\n",
              "      <td>-2.1560</td>\n",
              "      <td>-2.4100</td>\n",
              "      <td>-1.8190</td>\n",
              "      <td>-3.3480</td>\n",
              "      <td>-0.1414</td>\n",
              "      <td>-2.6430</td>\n",
              "      <td>-2.5810</td>\n",
              "      <td>-3.3890</td>\n",
              "      <td>-1.7450</td>\n",
              "      <td>-6.6300</td>\n",
              "      <td>-4.0950</td>\n",
              "      <td>-7.3860</td>\n",
              "      <td>-1.4160</td>\n",
              "      <td>-3.5770</td>\n",
              "      <td>-0.4775</td>\n",
              "      <td>-2.1500</td>\n",
              "      <td>-4.2520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>23814 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...     c96     c97     c98     c99\n",
              "0      id_000644bb2     com_droga     24   D1  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1      id_000779bfc     com_droga     72   D1  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2      id_000a6266a     com_droga     48   D1  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "3      id_0015fd391     com_droga     48   D1  ... -1.6210 -0.8784 -0.3876 -0.8154\n",
              "4      id_001626bd3     com_droga     72   D2  ...  0.1094  0.2885 -0.3786  0.7125\n",
              "...             ...           ...    ...  ...  ...     ...     ...     ...     ...\n",
              "23809  id_fffb1ceed     com_droga     24   D2  ...  0.0631  0.9171  0.5258  0.4680\n",
              "23810  id_fffb70c0c     com_droga     24   D2  ... -0.2084 -0.1224 -0.2715  0.3689\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "23812  id_fffcb9e7c     com_droga     24   D1  ...  0.1732  0.7015 -0.6290  0.0740\n",
              "23813  id_ffffdd77b     com_droga     72   D1  ... -3.5770 -0.4775 -2.1500 -4.2520\n",
              "\n",
              "[23814 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rF4AGRiMBH5x"
      },
      "source": [
        "Analisando os dados"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S8XGbezaBL4f",
        "outputId": "bf146794-87ea-4bb3-c886-de7bbaa3ec82"
      },
      "source": [
        "#coluna 'tratamento'\n",
        "print(dados['tratamento'])\n",
        "\n",
        "print(dados['tratamento'].unique())"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0           com_droga\n",
            "1           com_droga\n",
            "2           com_droga\n",
            "3           com_droga\n",
            "4           com_droga\n",
            "             ...     \n",
            "23809       com_droga\n",
            "23810       com_droga\n",
            "23811    com_controle\n",
            "23812       com_droga\n",
            "23813       com_droga\n",
            "Name: tratamento, Length: 23814, dtype: object\n",
            "['com_droga' 'com_controle']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YJYqjxvaCHj4"
      },
      "source": [
        "Sobre a coluna 'tratamento', há dois valores possíveis. 'com_droga' e 'com_controle'.\n",
        "\n",
        "Foi explicado que são experimentos de exposição a drogas e para se ter uma base de comparação existe os experimentos 'com_controle' que não foram expostos a nenhuma droga."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oWm86ynoBhsn",
        "outputId": "0c52fc1d-6a9c-4615-fd1b-7f7b452633c1"
      },
      "source": [
        "#coluna 'tempo'\n",
        "print(dados['tempo'])\n",
        "\n",
        "print(dados['tempo'].unique())"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0        24\n",
            "1        72\n",
            "2        48\n",
            "3        48\n",
            "4        72\n",
            "         ..\n",
            "23809    24\n",
            "23810    24\n",
            "23811    48\n",
            "23812    24\n",
            "23813    72\n",
            "Name: tempo, Length: 23814, dtype: int64\n",
            "[24 72 48]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GarHqtLTDJmp"
      },
      "source": [
        "Parece se tratar do tempo em horas em que a célula do experimento foi exposta a droga até a coleta dos dados"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OUVYEWTqBpzl",
        "outputId": "abe9843f-4328-45e0-d5a2-4cad6c4c4c0b"
      },
      "source": [
        "#coluna 'droga'\n",
        "print(dados['droga'])\n",
        "\n",
        "print(dados['droga'].unique())"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0        b68db1d53\n",
            "1        df89a8e5a\n",
            "2        18bb41b2c\n",
            "3        8c7f86626\n",
            "4        7cbed3131\n",
            "           ...    \n",
            "23809    df1d0a5a1\n",
            "23810    ecf3b6b74\n",
            "23811    cacb2b860\n",
            "23812    8b87a7a83\n",
            "23813    972f41291\n",
            "Name: droga, Length: 23814, dtype: object\n",
            "['b68db1d53' 'df89a8e5a' '18bb41b2c' ... '573c787a2' 'b2fe3eca7'\n",
            " 'dd4a96d16']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "72nAcTIXDSZe"
      },
      "source": [
        "Refere-se às diferentes drogas usadas no experimento. Nota-se que houve um mascaramento no nome do medicamento para evitar um possível viés."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ze0rEG4uB4Su",
        "outputId": "e3d1d721-76c2-4ea7-99a1-c86aa61803a7"
      },
      "source": [
        "#coluna 'g0'\n",
        "print(dados['g0'])\n",
        "\n",
        "print(dados['g0'].unique())"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0        1.0620\n",
            "1        0.0743\n",
            "2        0.6280\n",
            "3       -0.5138\n",
            "4       -0.3254\n",
            "          ...  \n",
            "23809    0.1394\n",
            "23810   -1.3260\n",
            "23811    0.3942\n",
            "23812    0.6660\n",
            "23813   -0.8598\n",
            "Name: g0, Length: 23814, dtype: float64\n",
            "[ 1.062   0.0743  0.628  ...  0.3942  0.666  -0.8598]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "US94QRcKDhOv"
      },
      "source": [
        "Foi informado que esse valor se refere à expressão do gene à droga. Esse valor está normalizado."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c3fZeWTNrONa"
      },
      "source": [
        "###Respondendo desafio 1: Investigar por que a classe 'tratamento' é desbalanceada?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sRC629LfESXH"
      },
      "source": [
        "Dando uma nova olhada à coluna 'tratamento':"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NHqWY0onEWyV",
        "outputId": "b763e1a7-b040-4dba-fbdc-921f03534a9c"
      },
      "source": [
        "dados['tratamento'].value_counts()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "com_droga       21948\n",
              "com_controle     1866\n",
              "Name: tratamento, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fAv6rw2mrcrr"
      },
      "source": [
        "A coluna 'tratamento' foi separado uma porcentagem dos dados para controle. Não sendo essas células expostas a nenhuma droga. Servindo de base de comparação."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2vc_OZLJFB0P"
      },
      "source": [
        "###Respondendo Desafio 2: Plotar as 5 últimas linhas da Tabela"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 251
        },
        "id": "xyLxJjtDFFmR",
        "outputId": "9f17fcb9-3f8b-40d8-f8f9-2d65a6d1be67"
      },
      "source": [
        "dados.tail()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>droga</th>\n",
              "      <th>g0</th>\n",
              "      <th>g1</th>\n",
              "      <th>g2</th>\n",
              "      <th>g3</th>\n",
              "      <th>g4</th>\n",
              "      <th>g5</th>\n",
              "      <th>g6</th>\n",
              "      <th>g7</th>\n",
              "      <th>g8</th>\n",
              "      <th>g9</th>\n",
              "      <th>g10</th>\n",
              "      <th>g11</th>\n",
              "      <th>g12</th>\n",
              "      <th>g13</th>\n",
              "      <th>g14</th>\n",
              "      <th>g15</th>\n",
              "      <th>g16</th>\n",
              "      <th>g17</th>\n",
              "      <th>g18</th>\n",
              "      <th>g19</th>\n",
              "      <th>g20</th>\n",
              "      <th>g21</th>\n",
              "      <th>g22</th>\n",
              "      <th>g23</th>\n",
              "      <th>g24</th>\n",
              "      <th>g25</th>\n",
              "      <th>g26</th>\n",
              "      <th>g27</th>\n",
              "      <th>g28</th>\n",
              "      <th>g29</th>\n",
              "      <th>g30</th>\n",
              "      <th>g31</th>\n",
              "      <th>g32</th>\n",
              "      <th>g33</th>\n",
              "      <th>g34</th>\n",
              "      <th>...</th>\n",
              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
              "      <th>c62</th>\n",
              "      <th>c63</th>\n",
              "      <th>c64</th>\n",
              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
              "      <th>c69</th>\n",
              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>23809</th>\n",
              "      <td>id_fffb1ceed</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>df1d0a5a1</td>\n",
              "      <td>0.1394</td>\n",
              "      <td>-0.0636</td>\n",
              "      <td>-0.1112</td>\n",
              "      <td>-0.5080</td>\n",
              "      <td>-0.4713</td>\n",
              "      <td>0.7201</td>\n",
              "      <td>0.5773</td>\n",
              "      <td>0.3055</td>\n",
              "      <td>-0.4726</td>\n",
              "      <td>0.1269</td>\n",
              "      <td>0.2531</td>\n",
              "      <td>0.1730</td>\n",
              "      <td>-0.4532</td>\n",
              "      <td>-1.0790</td>\n",
              "      <td>0.2474</td>\n",
              "      <td>-0.4550</td>\n",
              "      <td>0.3588</td>\n",
              "      <td>0.1600</td>\n",
              "      <td>-0.7362</td>\n",
              "      <td>-0.1103</td>\n",
              "      <td>0.8550</td>\n",
              "      <td>-0.4139</td>\n",
              "      <td>0.5541</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.5573</td>\n",
              "      <td>-0.4397</td>\n",
              "      <td>-0.9260</td>\n",
              "      <td>-0.2424</td>\n",
              "      <td>-0.6686</td>\n",
              "      <td>0.2326</td>\n",
              "      <td>0.6456</td>\n",
              "      <td>0.0136</td>\n",
              "      <td>-0.5141</td>\n",
              "      <td>-0.6320</td>\n",
              "      <td>0.7166</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0807</td>\n",
              "      <td>0.4024</td>\n",
              "      <td>-0.0895</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9641</td>\n",
              "      <td>-0.1846</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>0.3154</td>\n",
              "      <td>-0.2071</td>\n",
              "      <td>-0.6158</td>\n",
              "      <td>-0.2977</td>\n",
              "      <td>0.0992</td>\n",
              "      <td>0.6838</td>\n",
              "      <td>0.5259</td>\n",
              "      <td>0.7882</td>\n",
              "      <td>0.3119</td>\n",
              "      <td>-0.7697</td>\n",
              "      <td>0.2203</td>\n",
              "      <td>-1.0710</td>\n",
              "      <td>0.5979</td>\n",
              "      <td>0.0848</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.6293</td>\n",
              "      <td>1.1660</td>\n",
              "      <td>0.3329</td>\n",
              "      <td>0.2754</td>\n",
              "      <td>0.4108</td>\n",
              "      <td>-0.1252</td>\n",
              "      <td>-0.2340</td>\n",
              "      <td>0.2267</td>\n",
              "      <td>0.1969</td>\n",
              "      <td>0.0262</td>\n",
              "      <td>-0.8121</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.5372</td>\n",
              "      <td>-0.3246</td>\n",
              "      <td>0.0631</td>\n",
              "      <td>0.9171</td>\n",
              "      <td>0.5258</td>\n",
              "      <td>0.4680</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23810</th>\n",
              "      <td>id_fffb70c0c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>ecf3b6b74</td>\n",
              "      <td>-1.3260</td>\n",
              "      <td>0.3478</td>\n",
              "      <td>-0.3743</td>\n",
              "      <td>0.9905</td>\n",
              "      <td>-0.7178</td>\n",
              "      <td>0.6621</td>\n",
              "      <td>-0.2252</td>\n",
              "      <td>-0.5565</td>\n",
              "      <td>0.5112</td>\n",
              "      <td>0.6727</td>\n",
              "      <td>-0.1851</td>\n",
              "      <td>2.8650</td>\n",
              "      <td>-0.2140</td>\n",
              "      <td>-0.6153</td>\n",
              "      <td>0.8362</td>\n",
              "      <td>0.5584</td>\n",
              "      <td>-0.2589</td>\n",
              "      <td>0.1292</td>\n",
              "      <td>0.0148</td>\n",
              "      <td>0.0949</td>\n",
              "      <td>-0.2182</td>\n",
              "      <td>-0.9235</td>\n",
              "      <td>0.0749</td>\n",
              "      <td>-1.5910</td>\n",
              "      <td>-0.8359</td>\n",
              "      <td>-0.9217</td>\n",
              "      <td>0.3013</td>\n",
              "      <td>0.1716</td>\n",
              "      <td>0.0880</td>\n",
              "      <td>0.1842</td>\n",
              "      <td>0.1835</td>\n",
              "      <td>0.5436</td>\n",
              "      <td>-0.0533</td>\n",
              "      <td>-0.0491</td>\n",
              "      <td>0.9543</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1410</td>\n",
              "      <td>1.2640</td>\n",
              "      <td>-0.8663</td>\n",
              "      <td>0.8129</td>\n",
              "      <td>-0.1514</td>\n",
              "      <td>-0.4652</td>\n",
              "      <td>-0.7390</td>\n",
              "      <td>-1.3270</td>\n",
              "      <td>0.9925</td>\n",
              "      <td>1.0570</td>\n",
              "      <td>-0.3355</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.8219</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>-0.2942</td>\n",
              "      <td>0.2408</td>\n",
              "      <td>-0.7781</td>\n",
              "      <td>-0.0929</td>\n",
              "      <td>-0.0329</td>\n",
              "      <td>0.0781</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>0.3188</td>\n",
              "      <td>-1.1080</td>\n",
              "      <td>0.4895</td>\n",
              "      <td>-0.2144</td>\n",
              "      <td>1.0960</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.4444</td>\n",
              "      <td>-1.1130</td>\n",
              "      <td>0.4286</td>\n",
              "      <td>0.4426</td>\n",
              "      <td>0.0423</td>\n",
              "      <td>-0.3195</td>\n",
              "      <td>-0.8086</td>\n",
              "      <td>-0.9798</td>\n",
              "      <td>-0.2084</td>\n",
              "      <td>-0.1224</td>\n",
              "      <td>-0.2715</td>\n",
              "      <td>0.3689</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6845</td>\n",
              "      <td>0.7127</td>\n",
              "      <td>0.7294</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>id_fffcb9e7c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.4392</td>\n",
              "      <td>0.2044</td>\n",
              "      <td>0.8531</td>\n",
              "      <td>-0.0343</td>\n",
              "      <td>0.0323</td>\n",
              "      <td>0.0463</td>\n",
              "      <td>0.4299</td>\n",
              "      <td>-0.7985</td>\n",
              "      <td>0.5742</td>\n",
              "      <td>0.1421</td>\n",
              "      <td>2.2700</td>\n",
              "      <td>0.2046</td>\n",
              "      <td>0.5363</td>\n",
              "      <td>-1.7330</td>\n",
              "      <td>0.1450</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.2024</td>\n",
              "      <td>0.9865</td>\n",
              "      <td>-0.7805</td>\n",
              "      <td>0.9608</td>\n",
              "      <td>0.3440</td>\n",
              "      <td>2.7650</td>\n",
              "      <td>0.4925</td>\n",
              "      <td>0.6698</td>\n",
              "      <td>0.2374</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.8771</td>\n",
              "      <td>-2.6560</td>\n",
              "      <td>-0.2000</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.6797</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>-0.0927</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3360</td>\n",
              "      <td>-0.6136</td>\n",
              "      <td>0.5011</td>\n",
              "      <td>0.9261</td>\n",
              "      <td>0.4419</td>\n",
              "      <td>0.0295</td>\n",
              "      <td>0.4220</td>\n",
              "      <td>0.4677</td>\n",
              "      <td>-0.1184</td>\n",
              "      <td>0.4524</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.1356</td>\n",
              "      <td>-0.5801</td>\n",
              "      <td>0.0411</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>-0.0270</td>\n",
              "      <td>-0.4194</td>\n",
              "      <td>0.7403</td>\n",
              "      <td>-0.6793</td>\n",
              "      <td>-0.1423</td>\n",
              "      <td>0.7307</td>\n",
              "      <td>0.7946</td>\n",
              "      <td>-0.0650</td>\n",
              "      <td>0.9038</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.9676</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.5187</td>\n",
              "      <td>-0.1105</td>\n",
              "      <td>0.4258</td>\n",
              "      <td>-0.2012</td>\n",
              "      <td>0.1506</td>\n",
              "      <td>1.5230</td>\n",
              "      <td>0.7101</td>\n",
              "      <td>0.1732</td>\n",
              "      <td>0.7015</td>\n",
              "      <td>-0.6290</td>\n",
              "      <td>0.0740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23813</th>\n",
              "      <td>id_ffffdd77b</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>972f41291</td>\n",
              "      <td>-0.8598</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>-0.1361</td>\n",
              "      <td>0.7952</td>\n",
              "      <td>-0.3611</td>\n",
              "      <td>-3.6750</td>\n",
              "      <td>-1.2420</td>\n",
              "      <td>0.9146</td>\n",
              "      <td>3.0790</td>\n",
              "      <td>1.2460</td>\n",
              "      <td>1.9460</td>\n",
              "      <td>1.4370</td>\n",
              "      <td>2.9780</td>\n",
              "      <td>2.2370</td>\n",
              "      <td>-0.6818</td>\n",
              "      <td>0.6870</td>\n",
              "      <td>-1.1060</td>\n",
              "      <td>0.0182</td>\n",
              "      <td>-0.9247</td>\n",
              "      <td>-0.0738</td>\n",
              "      <td>-0.1919</td>\n",
              "      <td>-0.7722</td>\n",
              "      <td>-1.4050</td>\n",
              "      <td>-1.0050</td>\n",
              "      <td>-1.1170</td>\n",
              "      <td>-0.5293</td>\n",
              "      <td>-1.1720</td>\n",
              "      <td>-0.2885</td>\n",
              "      <td>0.1599</td>\n",
              "      <td>-0.4250</td>\n",
              "      <td>0.3591</td>\n",
              "      <td>-0.1420</td>\n",
              "      <td>-0.9530</td>\n",
              "      <td>-0.2005</td>\n",
              "      <td>-1.8340</td>\n",
              "      <td>...</td>\n",
              "      <td>-6.9170</td>\n",
              "      <td>-1.8640</td>\n",
              "      <td>-2.5090</td>\n",
              "      <td>-4.7130</td>\n",
              "      <td>-1.7250</td>\n",
              "      <td>-3.8650</td>\n",
              "      <td>-3.0800</td>\n",
              "      <td>-4.1530</td>\n",
              "      <td>-1.2030</td>\n",
              "      <td>-1.1690</td>\n",
              "      <td>-4.1460</td>\n",
              "      <td>-1.2670</td>\n",
              "      <td>-1.1300</td>\n",
              "      <td>-2.4390</td>\n",
              "      <td>0.1591</td>\n",
              "      <td>-2.2490</td>\n",
              "      <td>-2.5860</td>\n",
              "      <td>-1.9520</td>\n",
              "      <td>-2.1810</td>\n",
              "      <td>-4.6690</td>\n",
              "      <td>-3.9450</td>\n",
              "      <td>-2.9560</td>\n",
              "      <td>-2.7930</td>\n",
              "      <td>-2.1560</td>\n",
              "      <td>-2.4100</td>\n",
              "      <td>-1.8190</td>\n",
              "      <td>-3.3480</td>\n",
              "      <td>-0.1414</td>\n",
              "      <td>-2.6430</td>\n",
              "      <td>-2.5810</td>\n",
              "      <td>-3.3890</td>\n",
              "      <td>-1.7450</td>\n",
              "      <td>-6.6300</td>\n",
              "      <td>-4.0950</td>\n",
              "      <td>-7.3860</td>\n",
              "      <td>-1.4160</td>\n",
              "      <td>-3.5770</td>\n",
              "      <td>-0.4775</td>\n",
              "      <td>-2.1500</td>\n",
              "      <td>-4.2520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...     c96     c97     c98     c99\n",
              "23809  id_fffb1ceed     com_droga     24   D2  ...  0.0631  0.9171  0.5258  0.4680\n",
              "23810  id_fffb70c0c     com_droga     24   D2  ... -0.2084 -0.1224 -0.2715  0.3689\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "23812  id_fffcb9e7c     com_droga     24   D1  ...  0.1732  0.7015 -0.6290  0.0740\n",
              "23813  id_ffffdd77b     com_droga     72   D1  ... -3.5770 -0.4775 -2.1500 -4.2520\n",
              "\n",
              "[5 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "X70ZhLRbFYkz"
      },
      "source": [
        "###Respondendo ao desafio 3: Calcular a proporção das classes investigando a documentação do pandas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uzfoWgseFeXg",
        "outputId": "1079b48f-c925-4455-c6ba-18413cc0e708"
      },
      "source": [
        "#tratamento\n",
        "dados['tratamento'].value_counts(normalize=True)"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "com_droga       0.921643\n",
              "com_controle    0.078357\n",
              "Name: tratamento, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PBEvfHSbVvLs"
      },
      "source": [
        "###Respondendo ao desafio 4: Quantos tipos de drogas foram investigadas."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CgQm6xYzV0qj",
        "outputId": "72576249-b298-4cc7-c165-3c9f6326d14a"
      },
      "source": [
        "dados['droga'].unique().shape[0]"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3289"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "LiMF4OMWWVXl",
        "outputId": "766aa4bd-5a5f-46fb-9b2c-83726f2d6a95"
      },
      "source": [
        "dados['tratamento'].value_counts().plot.pie()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1d85fbfb90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "VzlcDN7UXpNS",
        "outputId": "b1521211-f1d5-49d0-e017-d98986d4a379"
      },
      "source": [
        "dados['tempo'].value_counts().plot.bar()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1d860603d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 435
        },
        "id": "Uo65E84bXvVe",
        "outputId": "ba3299fc-f6da-4987-fce4-5b08d0815255"
      },
      "source": [
        "dados_g0_filtrado = dados[dados['g0'] > 0]\n",
        "dados_g0_filtrado"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>droga</th>\n",
              "      <th>g0</th>\n",
              "      <th>g1</th>\n",
              "      <th>g2</th>\n",
              "      <th>g3</th>\n",
              "      <th>g4</th>\n",
              "      <th>g5</th>\n",
              "      <th>g6</th>\n",
              "      <th>g7</th>\n",
              "      <th>g8</th>\n",
              "      <th>g9</th>\n",
              "      <th>g10</th>\n",
              "      <th>g11</th>\n",
              "      <th>g12</th>\n",
              "      <th>g13</th>\n",
              "      <th>g14</th>\n",
              "      <th>g15</th>\n",
              "      <th>g16</th>\n",
              "      <th>g17</th>\n",
              "      <th>g18</th>\n",
              "      <th>g19</th>\n",
              "      <th>g20</th>\n",
              "      <th>g21</th>\n",
              "      <th>g22</th>\n",
              "      <th>g23</th>\n",
              "      <th>g24</th>\n",
              "      <th>g25</th>\n",
              "      <th>g26</th>\n",
              "      <th>g27</th>\n",
              "      <th>g28</th>\n",
              "      <th>g29</th>\n",
              "      <th>g30</th>\n",
              "      <th>g31</th>\n",
              "      <th>g32</th>\n",
              "      <th>g33</th>\n",
              "      <th>g34</th>\n",
              "      <th>...</th>\n",
              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
              "      <th>c62</th>\n",
              "      <th>c63</th>\n",
              "      <th>c64</th>\n",
              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
              "      <th>c69</th>\n",
              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4805</td>\n",
              "      <td>0.4965</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>id_001bd861f</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>746ca1f5a</td>\n",
              "      <td>2.0440</td>\n",
              "      <td>1.7000</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>5.9440</td>\n",
              "      <td>-2.1670</td>\n",
              "      <td>-4.0360</td>\n",
              "      <td>3.6950</td>\n",
              "      <td>1.4530</td>\n",
              "      <td>0.9724</td>\n",
              "      <td>-2.4380</td>\n",
              "      <td>5.1340</td>\n",
              "      <td>-4.6600</td>\n",
              "      <td>5.7960</td>\n",
              "      <td>4.9700</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>2.4790</td>\n",
              "      <td>-3.8010</td>\n",
              "      <td>-1.0230</td>\n",
              "      <td>5.3110</td>\n",
              "      <td>-0.5660</td>\n",
              "      <td>-4.4450</td>\n",
              "      <td>1.2210</td>\n",
              "      <td>1.3750</td>\n",
              "      <td>0.3932</td>\n",
              "      <td>0.3392</td>\n",
              "      <td>4.3510</td>\n",
              "      <td>5.7540</td>\n",
              "      <td>-1.6590</td>\n",
              "      <td>5.3000</td>\n",
              "      <td>5.6050</td>\n",
              "      <td>5.5320</td>\n",
              "      <td>3.7860</td>\n",
              "      <td>0.9197</td>\n",
              "      <td>1.9310</td>\n",
              "      <td>2.4870</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.8904</td>\n",
              "      <td>2.0590</td>\n",
              "      <td>0.5052</td>\n",
              "      <td>0.6890</td>\n",
              "      <td>0.5340</td>\n",
              "      <td>0.5135</td>\n",
              "      <td>0.6507</td>\n",
              "      <td>0.9838</td>\n",
              "      <td>0.4532</td>\n",
              "      <td>-0.3212</td>\n",
              "      <td>0.2662</td>\n",
              "      <td>0.6864</td>\n",
              "      <td>1.6300</td>\n",
              "      <td>1.3810</td>\n",
              "      <td>0.0061</td>\n",
              "      <td>0.2908</td>\n",
              "      <td>0.2598</td>\n",
              "      <td>0.1266</td>\n",
              "      <td>-0.3526</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>-1.1030</td>\n",
              "      <td>1.3650</td>\n",
              "      <td>1.0610</td>\n",
              "      <td>0.4034</td>\n",
              "      <td>1.0880</td>\n",
              "      <td>-0.4230</td>\n",
              "      <td>0.4013</td>\n",
              "      <td>0.1726</td>\n",
              "      <td>0.7464</td>\n",
              "      <td>0.9418</td>\n",
              "      <td>0.1855</td>\n",
              "      <td>1.1720</td>\n",
              "      <td>0.8325</td>\n",
              "      <td>0.6486</td>\n",
              "      <td>0.8090</td>\n",
              "      <td>1.5880</td>\n",
              "      <td>2.4670</td>\n",
              "      <td>0.0357</td>\n",
              "      <td>0.1351</td>\n",
              "      <td>-0.3179</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>id_0020d0484</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.2711</td>\n",
              "      <td>0.5133</td>\n",
              "      <td>-0.1327</td>\n",
              "      <td>2.5950</td>\n",
              "      <td>0.6980</td>\n",
              "      <td>0.5846</td>\n",
              "      <td>-0.2633</td>\n",
              "      <td>-2.1490</td>\n",
              "      <td>0.4881</td>\n",
              "      <td>1.4750</td>\n",
              "      <td>-0.0488</td>\n",
              "      <td>-0.0561</td>\n",
              "      <td>0.1641</td>\n",
              "      <td>0.1749</td>\n",
              "      <td>-0.3464</td>\n",
              "      <td>-0.1811</td>\n",
              "      <td>0.5685</td>\n",
              "      <td>1.2970</td>\n",
              "      <td>1.0510</td>\n",
              "      <td>-0.9585</td>\n",
              "      <td>0.7911</td>\n",
              "      <td>-0.2991</td>\n",
              "      <td>2.7420</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>-1.0240</td>\n",
              "      <td>0.7268</td>\n",
              "      <td>0.1590</td>\n",
              "      <td>-1.9730</td>\n",
              "      <td>1.1340</td>\n",
              "      <td>-2.5720</td>\n",
              "      <td>0.2068</td>\n",
              "      <td>0.9992</td>\n",
              "      <td>-0.1958</td>\n",
              "      <td>0.2262</td>\n",
              "      <td>1.0140</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2623</td>\n",
              "      <td>-0.5500</td>\n",
              "      <td>-0.0530</td>\n",
              "      <td>0.2077</td>\n",
              "      <td>-0.0825</td>\n",
              "      <td>0.2156</td>\n",
              "      <td>0.8142</td>\n",
              "      <td>1.0990</td>\n",
              "      <td>1.0860</td>\n",
              "      <td>0.4011</td>\n",
              "      <td>-0.1342</td>\n",
              "      <td>0.4653</td>\n",
              "      <td>-0.1104</td>\n",
              "      <td>0.3935</td>\n",
              "      <td>1.2370</td>\n",
              "      <td>-0.5072</td>\n",
              "      <td>0.0351</td>\n",
              "      <td>0.5084</td>\n",
              "      <td>-0.1248</td>\n",
              "      <td>0.4351</td>\n",
              "      <td>0.1389</td>\n",
              "      <td>0.6726</td>\n",
              "      <td>0.6070</td>\n",
              "      <td>0.3431</td>\n",
              "      <td>-0.4116</td>\n",
              "      <td>0.1194</td>\n",
              "      <td>0.3420</td>\n",
              "      <td>0.1331</td>\n",
              "      <td>0.8541</td>\n",
              "      <td>0.6282</td>\n",
              "      <td>0.3230</td>\n",
              "      <td>-0.4140</td>\n",
              "      <td>0.2532</td>\n",
              "      <td>0.0513</td>\n",
              "      <td>0.8600</td>\n",
              "      <td>1.4250</td>\n",
              "      <td>0.6633</td>\n",
              "      <td>0.4562</td>\n",
              "      <td>-0.9622</td>\n",
              "      <td>0.0260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23807</th>\n",
              "      <td>id_fff7e6992</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>a28556d51</td>\n",
              "      <td>0.1420</td>\n",
              "      <td>-0.3696</td>\n",
              "      <td>-0.0093</td>\n",
              "      <td>-0.2495</td>\n",
              "      <td>-0.0175</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>-0.2201</td>\n",
              "      <td>0.2443</td>\n",
              "      <td>0.4879</td>\n",
              "      <td>0.3432</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>0.9056</td>\n",
              "      <td>0.3538</td>\n",
              "      <td>0.5246</td>\n",
              "      <td>-0.4441</td>\n",
              "      <td>-0.1605</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-0.5619</td>\n",
              "      <td>-0.1409</td>\n",
              "      <td>0.1255</td>\n",
              "      <td>0.1214</td>\n",
              "      <td>-0.1975</td>\n",
              "      <td>-0.4367</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.4301</td>\n",
              "      <td>-0.7606</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>0.0270</td>\n",
              "      <td>-0.0367</td>\n",
              "      <td>-1.2480</td>\n",
              "      <td>0.0559</td>\n",
              "      <td>-0.0984</td>\n",
              "      <td>0.5537</td>\n",
              "      <td>0.1063</td>\n",
              "      <td>0.3893</td>\n",
              "      <td>...</td>\n",
              "      <td>0.5554</td>\n",
              "      <td>0.2225</td>\n",
              "      <td>-0.0903</td>\n",
              "      <td>0.9227</td>\n",
              "      <td>-0.0460</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>1.0730</td>\n",
              "      <td>-0.6904</td>\n",
              "      <td>0.9298</td>\n",
              "      <td>1.0500</td>\n",
              "      <td>0.4646</td>\n",
              "      <td>0.4481</td>\n",
              "      <td>0.9771</td>\n",
              "      <td>0.7187</td>\n",
              "      <td>0.5299</td>\n",
              "      <td>0.1079</td>\n",
              "      <td>1.2010</td>\n",
              "      <td>0.2529</td>\n",
              "      <td>-0.4546</td>\n",
              "      <td>0.7998</td>\n",
              "      <td>0.6401</td>\n",
              "      <td>-1.3370</td>\n",
              "      <td>0.6542</td>\n",
              "      <td>0.8561</td>\n",
              "      <td>0.4829</td>\n",
              "      <td>0.3213</td>\n",
              "      <td>-0.0177</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.4626</td>\n",
              "      <td>0.0030</td>\n",
              "      <td>0.8775</td>\n",
              "      <td>0.5230</td>\n",
              "      <td>0.1589</td>\n",
              "      <td>0.7715</td>\n",
              "      <td>0.5497</td>\n",
              "      <td>0.6929</td>\n",
              "      <td>0.3738</td>\n",
              "      <td>0.8636</td>\n",
              "      <td>0.4494</td>\n",
              "      <td>0.1218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23808</th>\n",
              "      <td>id_fff8c2444</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>6c3a459be</td>\n",
              "      <td>0.1608</td>\n",
              "      <td>-1.0500</td>\n",
              "      <td>0.2551</td>\n",
              "      <td>-0.2239</td>\n",
              "      <td>-0.2431</td>\n",
              "      <td>0.4256</td>\n",
              "      <td>-0.1166</td>\n",
              "      <td>-0.1777</td>\n",
              "      <td>-0.7480</td>\n",
              "      <td>0.1368</td>\n",
              "      <td>0.5493</td>\n",
              "      <td>-0.5083</td>\n",
              "      <td>0.4112</td>\n",
              "      <td>0.1181</td>\n",
              "      <td>0.7861</td>\n",
              "      <td>-0.1877</td>\n",
              "      <td>0.2476</td>\n",
              "      <td>0.1956</td>\n",
              "      <td>0.0273</td>\n",
              "      <td>0.1182</td>\n",
              "      <td>-0.5037</td>\n",
              "      <td>-0.5939</td>\n",
              "      <td>0.4825</td>\n",
              "      <td>-0.5187</td>\n",
              "      <td>0.1618</td>\n",
              "      <td>-0.2253</td>\n",
              "      <td>0.3153</td>\n",
              "      <td>0.4839</td>\n",
              "      <td>0.0520</td>\n",
              "      <td>1.3850</td>\n",
              "      <td>0.6502</td>\n",
              "      <td>-0.4198</td>\n",
              "      <td>0.2723</td>\n",
              "      <td>-0.3629</td>\n",
              "      <td>1.0820</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2720</td>\n",
              "      <td>-0.6021</td>\n",
              "      <td>0.2451</td>\n",
              "      <td>0.6607</td>\n",
              "      <td>-0.1849</td>\n",
              "      <td>-0.6546</td>\n",
              "      <td>-0.5798</td>\n",
              "      <td>0.3449</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>0.2949</td>\n",
              "      <td>0.4158</td>\n",
              "      <td>0.8586</td>\n",
              "      <td>0.3868</td>\n",
              "      <td>1.0030</td>\n",
              "      <td>-0.4593</td>\n",
              "      <td>0.6498</td>\n",
              "      <td>0.8293</td>\n",
              "      <td>-0.7645</td>\n",
              "      <td>0.5379</td>\n",
              "      <td>0.5610</td>\n",
              "      <td>0.2577</td>\n",
              "      <td>-0.5493</td>\n",
              "      <td>0.2690</td>\n",
              "      <td>0.6392</td>\n",
              "      <td>-0.5774</td>\n",
              "      <td>-0.3393</td>\n",
              "      <td>0.5068</td>\n",
              "      <td>-0.2005</td>\n",
              "      <td>-0.4559</td>\n",
              "      <td>0.3734</td>\n",
              "      <td>0.0789</td>\n",
              "      <td>0.3538</td>\n",
              "      <td>0.0558</td>\n",
              "      <td>0.3377</td>\n",
              "      <td>-0.4753</td>\n",
              "      <td>-0.2504</td>\n",
              "      <td>-0.7415</td>\n",
              "      <td>0.8413</td>\n",
              "      <td>-0.4259</td>\n",
              "      <td>0.2434</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23809</th>\n",
              "      <td>id_fffb1ceed</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>df1d0a5a1</td>\n",
              "      <td>0.1394</td>\n",
              "      <td>-0.0636</td>\n",
              "      <td>-0.1112</td>\n",
              "      <td>-0.5080</td>\n",
              "      <td>-0.4713</td>\n",
              "      <td>0.7201</td>\n",
              "      <td>0.5773</td>\n",
              "      <td>0.3055</td>\n",
              "      <td>-0.4726</td>\n",
              "      <td>0.1269</td>\n",
              "      <td>0.2531</td>\n",
              "      <td>0.1730</td>\n",
              "      <td>-0.4532</td>\n",
              "      <td>-1.0790</td>\n",
              "      <td>0.2474</td>\n",
              "      <td>-0.4550</td>\n",
              "      <td>0.3588</td>\n",
              "      <td>0.1600</td>\n",
              "      <td>-0.7362</td>\n",
              "      <td>-0.1103</td>\n",
              "      <td>0.8550</td>\n",
              "      <td>-0.4139</td>\n",
              "      <td>0.5541</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.5573</td>\n",
              "      <td>-0.4397</td>\n",
              "      <td>-0.9260</td>\n",
              "      <td>-0.2424</td>\n",
              "      <td>-0.6686</td>\n",
              "      <td>0.2326</td>\n",
              "      <td>0.6456</td>\n",
              "      <td>0.0136</td>\n",
              "      <td>-0.5141</td>\n",
              "      <td>-0.6320</td>\n",
              "      <td>0.7166</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0807</td>\n",
              "      <td>0.4024</td>\n",
              "      <td>-0.0895</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9641</td>\n",
              "      <td>-0.1846</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>0.3154</td>\n",
              "      <td>-0.2071</td>\n",
              "      <td>-0.6158</td>\n",
              "      <td>-0.2977</td>\n",
              "      <td>0.0992</td>\n",
              "      <td>0.6838</td>\n",
              "      <td>0.5259</td>\n",
              "      <td>0.7882</td>\n",
              "      <td>0.3119</td>\n",
              "      <td>-0.7697</td>\n",
              "      <td>0.2203</td>\n",
              "      <td>-1.0710</td>\n",
              "      <td>0.5979</td>\n",
              "      <td>0.0848</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.6293</td>\n",
              "      <td>1.1660</td>\n",
              "      <td>0.3329</td>\n",
              "      <td>0.2754</td>\n",
              "      <td>0.4108</td>\n",
              "      <td>-0.1252</td>\n",
              "      <td>-0.2340</td>\n",
              "      <td>0.2267</td>\n",
              "      <td>0.1969</td>\n",
              "      <td>0.0262</td>\n",
              "      <td>-0.8121</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.5372</td>\n",
              "      <td>-0.3246</td>\n",
              "      <td>0.0631</td>\n",
              "      <td>0.9171</td>\n",
              "      <td>0.5258</td>\n",
              "      <td>0.4680</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6845</td>\n",
              "      <td>0.7127</td>\n",
              "      <td>0.7294</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>id_fffcb9e7c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.4392</td>\n",
              "      <td>0.2044</td>\n",
              "      <td>0.8531</td>\n",
              "      <td>-0.0343</td>\n",
              "      <td>0.0323</td>\n",
              "      <td>0.0463</td>\n",
              "      <td>0.4299</td>\n",
              "      <td>-0.7985</td>\n",
              "      <td>0.5742</td>\n",
              "      <td>0.1421</td>\n",
              "      <td>2.2700</td>\n",
              "      <td>0.2046</td>\n",
              "      <td>0.5363</td>\n",
              "      <td>-1.7330</td>\n",
              "      <td>0.1450</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.2024</td>\n",
              "      <td>0.9865</td>\n",
              "      <td>-0.7805</td>\n",
              "      <td>0.9608</td>\n",
              "      <td>0.3440</td>\n",
              "      <td>2.7650</td>\n",
              "      <td>0.4925</td>\n",
              "      <td>0.6698</td>\n",
              "      <td>0.2374</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.8771</td>\n",
              "      <td>-2.6560</td>\n",
              "      <td>-0.2000</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.6797</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>-0.0927</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3360</td>\n",
              "      <td>-0.6136</td>\n",
              "      <td>0.5011</td>\n",
              "      <td>0.9261</td>\n",
              "      <td>0.4419</td>\n",
              "      <td>0.0295</td>\n",
              "      <td>0.4220</td>\n",
              "      <td>0.4677</td>\n",
              "      <td>-0.1184</td>\n",
              "      <td>0.4524</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.1356</td>\n",
              "      <td>-0.5801</td>\n",
              "      <td>0.0411</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>-0.0270</td>\n",
              "      <td>-0.4194</td>\n",
              "      <td>0.7403</td>\n",
              "      <td>-0.6793</td>\n",
              "      <td>-0.1423</td>\n",
              "      <td>0.7307</td>\n",
              "      <td>0.7946</td>\n",
              "      <td>-0.0650</td>\n",
              "      <td>0.9038</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.9676</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.5187</td>\n",
              "      <td>-0.1105</td>\n",
              "      <td>0.4258</td>\n",
              "      <td>-0.2012</td>\n",
              "      <td>0.1506</td>\n",
              "      <td>1.5230</td>\n",
              "      <td>0.7101</td>\n",
              "      <td>0.1732</td>\n",
              "      <td>0.7015</td>\n",
              "      <td>-0.6290</td>\n",
              "      <td>0.0740</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>11769 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...     c96     c97     c98     c99\n",
              "0      id_000644bb2     com_droga     24   D1  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1      id_000779bfc     com_droga     72   D1  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2      id_000a6266a     com_droga     48   D1  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "6      id_001bd861f     com_droga     24   D2  ...  2.4670  0.0357  0.1351 -0.3179\n",
              "7      id_0020d0484     com_droga     48   D1  ...  0.6633  0.4562 -0.9622  0.0260\n",
              "...             ...           ...    ...  ...  ...     ...     ...     ...     ...\n",
              "23807  id_fff7e6992     com_droga     48   D1  ...  0.3738  0.8636  0.4494  0.1218\n",
              "23808  id_fff8c2444     com_droga     72   D1  ... -0.7415  0.8413 -0.4259  0.2434\n",
              "23809  id_fffb1ceed     com_droga     24   D2  ...  0.0631  0.9171  0.5258  0.4680\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "23812  id_fffcb9e7c     com_droga     24   D1  ...  0.1732  0.7015 -0.6290  0.0740\n",
              "\n",
              "[11769 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tg8njx0NaKnZ"
      },
      "source": [
        "###Resolvendo o desafio 5: Procurar na documentação o método query do pandas."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_iW9X3m5poR8"
      },
      "source": [
        "[Método query() na documentação do Pandas](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.query.html?highlight=query#pandas.DataFrame.query)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 435
        },
        "id": "P0agPPG4Z8SB",
        "outputId": "020f5c4c-9f8d-452f-c2c4-5c466ccab774"
      },
      "source": [
        "dados_g0_filtrado2 = dados.query('g0 > 0')\n",
        "dados_g0_filtrado2"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>droga</th>\n",
              "      <th>g0</th>\n",
              "      <th>g1</th>\n",
              "      <th>g2</th>\n",
              "      <th>g3</th>\n",
              "      <th>g4</th>\n",
              "      <th>g5</th>\n",
              "      <th>g6</th>\n",
              "      <th>g7</th>\n",
              "      <th>g8</th>\n",
              "      <th>g9</th>\n",
              "      <th>g10</th>\n",
              "      <th>g11</th>\n",
              "      <th>g12</th>\n",
              "      <th>g13</th>\n",
              "      <th>g14</th>\n",
              "      <th>g15</th>\n",
              "      <th>g16</th>\n",
              "      <th>g17</th>\n",
              "      <th>g18</th>\n",
              "      <th>g19</th>\n",
              "      <th>g20</th>\n",
              "      <th>g21</th>\n",
              "      <th>g22</th>\n",
              "      <th>g23</th>\n",
              "      <th>g24</th>\n",
              "      <th>g25</th>\n",
              "      <th>g26</th>\n",
              "      <th>g27</th>\n",
              "      <th>g28</th>\n",
              "      <th>g29</th>\n",
              "      <th>g30</th>\n",
              "      <th>g31</th>\n",
              "      <th>g32</th>\n",
              "      <th>g33</th>\n",
              "      <th>g34</th>\n",
              "      <th>...</th>\n",
              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
              "      <th>c62</th>\n",
              "      <th>c63</th>\n",
              "      <th>c64</th>\n",
              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
              "      <th>c69</th>\n",
              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4805</td>\n",
              "      <td>0.4965</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>id_001bd861f</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>746ca1f5a</td>\n",
              "      <td>2.0440</td>\n",
              "      <td>1.7000</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>5.9440</td>\n",
              "      <td>-2.1670</td>\n",
              "      <td>-4.0360</td>\n",
              "      <td>3.6950</td>\n",
              "      <td>1.4530</td>\n",
              "      <td>0.9724</td>\n",
              "      <td>-2.4380</td>\n",
              "      <td>5.1340</td>\n",
              "      <td>-4.6600</td>\n",
              "      <td>5.7960</td>\n",
              "      <td>4.9700</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>2.4790</td>\n",
              "      <td>-3.8010</td>\n",
              "      <td>-1.0230</td>\n",
              "      <td>5.3110</td>\n",
              "      <td>-0.5660</td>\n",
              "      <td>-4.4450</td>\n",
              "      <td>1.2210</td>\n",
              "      <td>1.3750</td>\n",
              "      <td>0.3932</td>\n",
              "      <td>0.3392</td>\n",
              "      <td>4.3510</td>\n",
              "      <td>5.7540</td>\n",
              "      <td>-1.6590</td>\n",
              "      <td>5.3000</td>\n",
              "      <td>5.6050</td>\n",
              "      <td>5.5320</td>\n",
              "      <td>3.7860</td>\n",
              "      <td>0.9197</td>\n",
              "      <td>1.9310</td>\n",
              "      <td>2.4870</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.8904</td>\n",
              "      <td>2.0590</td>\n",
              "      <td>0.5052</td>\n",
              "      <td>0.6890</td>\n",
              "      <td>0.5340</td>\n",
              "      <td>0.5135</td>\n",
              "      <td>0.6507</td>\n",
              "      <td>0.9838</td>\n",
              "      <td>0.4532</td>\n",
              "      <td>-0.3212</td>\n",
              "      <td>0.2662</td>\n",
              "      <td>0.6864</td>\n",
              "      <td>1.6300</td>\n",
              "      <td>1.3810</td>\n",
              "      <td>0.0061</td>\n",
              "      <td>0.2908</td>\n",
              "      <td>0.2598</td>\n",
              "      <td>0.1266</td>\n",
              "      <td>-0.3526</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>-1.1030</td>\n",
              "      <td>1.3650</td>\n",
              "      <td>1.0610</td>\n",
              "      <td>0.4034</td>\n",
              "      <td>1.0880</td>\n",
              "      <td>-0.4230</td>\n",
              "      <td>0.4013</td>\n",
              "      <td>0.1726</td>\n",
              "      <td>0.7464</td>\n",
              "      <td>0.9418</td>\n",
              "      <td>0.1855</td>\n",
              "      <td>1.1720</td>\n",
              "      <td>0.8325</td>\n",
              "      <td>0.6486</td>\n",
              "      <td>0.8090</td>\n",
              "      <td>1.5880</td>\n",
              "      <td>2.4670</td>\n",
              "      <td>0.0357</td>\n",
              "      <td>0.1351</td>\n",
              "      <td>-0.3179</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>id_0020d0484</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.2711</td>\n",
              "      <td>0.5133</td>\n",
              "      <td>-0.1327</td>\n",
              "      <td>2.5950</td>\n",
              "      <td>0.6980</td>\n",
              "      <td>0.5846</td>\n",
              "      <td>-0.2633</td>\n",
              "      <td>-2.1490</td>\n",
              "      <td>0.4881</td>\n",
              "      <td>1.4750</td>\n",
              "      <td>-0.0488</td>\n",
              "      <td>-0.0561</td>\n",
              "      <td>0.1641</td>\n",
              "      <td>0.1749</td>\n",
              "      <td>-0.3464</td>\n",
              "      <td>-0.1811</td>\n",
              "      <td>0.5685</td>\n",
              "      <td>1.2970</td>\n",
              "      <td>1.0510</td>\n",
              "      <td>-0.9585</td>\n",
              "      <td>0.7911</td>\n",
              "      <td>-0.2991</td>\n",
              "      <td>2.7420</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>-1.0240</td>\n",
              "      <td>0.7268</td>\n",
              "      <td>0.1590</td>\n",
              "      <td>-1.9730</td>\n",
              "      <td>1.1340</td>\n",
              "      <td>-2.5720</td>\n",
              "      <td>0.2068</td>\n",
              "      <td>0.9992</td>\n",
              "      <td>-0.1958</td>\n",
              "      <td>0.2262</td>\n",
              "      <td>1.0140</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2623</td>\n",
              "      <td>-0.5500</td>\n",
              "      <td>-0.0530</td>\n",
              "      <td>0.2077</td>\n",
              "      <td>-0.0825</td>\n",
              "      <td>0.2156</td>\n",
              "      <td>0.8142</td>\n",
              "      <td>1.0990</td>\n",
              "      <td>1.0860</td>\n",
              "      <td>0.4011</td>\n",
              "      <td>-0.1342</td>\n",
              "      <td>0.4653</td>\n",
              "      <td>-0.1104</td>\n",
              "      <td>0.3935</td>\n",
              "      <td>1.2370</td>\n",
              "      <td>-0.5072</td>\n",
              "      <td>0.0351</td>\n",
              "      <td>0.5084</td>\n",
              "      <td>-0.1248</td>\n",
              "      <td>0.4351</td>\n",
              "      <td>0.1389</td>\n",
              "      <td>0.6726</td>\n",
              "      <td>0.6070</td>\n",
              "      <td>0.3431</td>\n",
              "      <td>-0.4116</td>\n",
              "      <td>0.1194</td>\n",
              "      <td>0.3420</td>\n",
              "      <td>0.1331</td>\n",
              "      <td>0.8541</td>\n",
              "      <td>0.6282</td>\n",
              "      <td>0.3230</td>\n",
              "      <td>-0.4140</td>\n",
              "      <td>0.2532</td>\n",
              "      <td>0.0513</td>\n",
              "      <td>0.8600</td>\n",
              "      <td>1.4250</td>\n",
              "      <td>0.6633</td>\n",
              "      <td>0.4562</td>\n",
              "      <td>-0.9622</td>\n",
              "      <td>0.0260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23807</th>\n",
              "      <td>id_fff7e6992</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>a28556d51</td>\n",
              "      <td>0.1420</td>\n",
              "      <td>-0.3696</td>\n",
              "      <td>-0.0093</td>\n",
              "      <td>-0.2495</td>\n",
              "      <td>-0.0175</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>-0.2201</td>\n",
              "      <td>0.2443</td>\n",
              "      <td>0.4879</td>\n",
              "      <td>0.3432</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>0.9056</td>\n",
              "      <td>0.3538</td>\n",
              "      <td>0.5246</td>\n",
              "      <td>-0.4441</td>\n",
              "      <td>-0.1605</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-0.5619</td>\n",
              "      <td>-0.1409</td>\n",
              "      <td>0.1255</td>\n",
              "      <td>0.1214</td>\n",
              "      <td>-0.1975</td>\n",
              "      <td>-0.4367</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.4301</td>\n",
              "      <td>-0.7606</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>0.0270</td>\n",
              "      <td>-0.0367</td>\n",
              "      <td>-1.2480</td>\n",
              "      <td>0.0559</td>\n",
              "      <td>-0.0984</td>\n",
              "      <td>0.5537</td>\n",
              "      <td>0.1063</td>\n",
              "      <td>0.3893</td>\n",
              "      <td>...</td>\n",
              "      <td>0.5554</td>\n",
              "      <td>0.2225</td>\n",
              "      <td>-0.0903</td>\n",
              "      <td>0.9227</td>\n",
              "      <td>-0.0460</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>1.0730</td>\n",
              "      <td>-0.6904</td>\n",
              "      <td>0.9298</td>\n",
              "      <td>1.0500</td>\n",
              "      <td>0.4646</td>\n",
              "      <td>0.4481</td>\n",
              "      <td>0.9771</td>\n",
              "      <td>0.7187</td>\n",
              "      <td>0.5299</td>\n",
              "      <td>0.1079</td>\n",
              "      <td>1.2010</td>\n",
              "      <td>0.2529</td>\n",
              "      <td>-0.4546</td>\n",
              "      <td>0.7998</td>\n",
              "      <td>0.6401</td>\n",
              "      <td>-1.3370</td>\n",
              "      <td>0.6542</td>\n",
              "      <td>0.8561</td>\n",
              "      <td>0.4829</td>\n",
              "      <td>0.3213</td>\n",
              "      <td>-0.0177</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.4626</td>\n",
              "      <td>0.0030</td>\n",
              "      <td>0.8775</td>\n",
              "      <td>0.5230</td>\n",
              "      <td>0.1589</td>\n",
              "      <td>0.7715</td>\n",
              "      <td>0.5497</td>\n",
              "      <td>0.6929</td>\n",
              "      <td>0.3738</td>\n",
              "      <td>0.8636</td>\n",
              "      <td>0.4494</td>\n",
              "      <td>0.1218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23808</th>\n",
              "      <td>id_fff8c2444</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>6c3a459be</td>\n",
              "      <td>0.1608</td>\n",
              "      <td>-1.0500</td>\n",
              "      <td>0.2551</td>\n",
              "      <td>-0.2239</td>\n",
              "      <td>-0.2431</td>\n",
              "      <td>0.4256</td>\n",
              "      <td>-0.1166</td>\n",
              "      <td>-0.1777</td>\n",
              "      <td>-0.7480</td>\n",
              "      <td>0.1368</td>\n",
              "      <td>0.5493</td>\n",
              "      <td>-0.5083</td>\n",
              "      <td>0.4112</td>\n",
              "      <td>0.1181</td>\n",
              "      <td>0.7861</td>\n",
              "      <td>-0.1877</td>\n",
              "      <td>0.2476</td>\n",
              "      <td>0.1956</td>\n",
              "      <td>0.0273</td>\n",
              "      <td>0.1182</td>\n",
              "      <td>-0.5037</td>\n",
              "      <td>-0.5939</td>\n",
              "      <td>0.4825</td>\n",
              "      <td>-0.5187</td>\n",
              "      <td>0.1618</td>\n",
              "      <td>-0.2253</td>\n",
              "      <td>0.3153</td>\n",
              "      <td>0.4839</td>\n",
              "      <td>0.0520</td>\n",
              "      <td>1.3850</td>\n",
              "      <td>0.6502</td>\n",
              "      <td>-0.4198</td>\n",
              "      <td>0.2723</td>\n",
              "      <td>-0.3629</td>\n",
              "      <td>1.0820</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2720</td>\n",
              "      <td>-0.6021</td>\n",
              "      <td>0.2451</td>\n",
              "      <td>0.6607</td>\n",
              "      <td>-0.1849</td>\n",
              "      <td>-0.6546</td>\n",
              "      <td>-0.5798</td>\n",
              "      <td>0.3449</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>0.2949</td>\n",
              "      <td>0.4158</td>\n",
              "      <td>0.8586</td>\n",
              "      <td>0.3868</td>\n",
              "      <td>1.0030</td>\n",
              "      <td>-0.4593</td>\n",
              "      <td>0.6498</td>\n",
              "      <td>0.8293</td>\n",
              "      <td>-0.7645</td>\n",
              "      <td>0.5379</td>\n",
              "      <td>0.5610</td>\n",
              "      <td>0.2577</td>\n",
              "      <td>-0.5493</td>\n",
              "      <td>0.2690</td>\n",
              "      <td>0.6392</td>\n",
              "      <td>-0.5774</td>\n",
              "      <td>-0.3393</td>\n",
              "      <td>0.5068</td>\n",
              "      <td>-0.2005</td>\n",
              "      <td>-0.4559</td>\n",
              "      <td>0.3734</td>\n",
              "      <td>0.0789</td>\n",
              "      <td>0.3538</td>\n",
              "      <td>0.0558</td>\n",
              "      <td>0.3377</td>\n",
              "      <td>-0.4753</td>\n",
              "      <td>-0.2504</td>\n",
              "      <td>-0.7415</td>\n",
              "      <td>0.8413</td>\n",
              "      <td>-0.4259</td>\n",
              "      <td>0.2434</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23809</th>\n",
              "      <td>id_fffb1ceed</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>df1d0a5a1</td>\n",
              "      <td>0.1394</td>\n",
              "      <td>-0.0636</td>\n",
              "      <td>-0.1112</td>\n",
              "      <td>-0.5080</td>\n",
              "      <td>-0.4713</td>\n",
              "      <td>0.7201</td>\n",
              "      <td>0.5773</td>\n",
              "      <td>0.3055</td>\n",
              "      <td>-0.4726</td>\n",
              "      <td>0.1269</td>\n",
              "      <td>0.2531</td>\n",
              "      <td>0.1730</td>\n",
              "      <td>-0.4532</td>\n",
              "      <td>-1.0790</td>\n",
              "      <td>0.2474</td>\n",
              "      <td>-0.4550</td>\n",
              "      <td>0.3588</td>\n",
              "      <td>0.1600</td>\n",
              "      <td>-0.7362</td>\n",
              "      <td>-0.1103</td>\n",
              "      <td>0.8550</td>\n",
              "      <td>-0.4139</td>\n",
              "      <td>0.5541</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.5573</td>\n",
              "      <td>-0.4397</td>\n",
              "      <td>-0.9260</td>\n",
              "      <td>-0.2424</td>\n",
              "      <td>-0.6686</td>\n",
              "      <td>0.2326</td>\n",
              "      <td>0.6456</td>\n",
              "      <td>0.0136</td>\n",
              "      <td>-0.5141</td>\n",
              "      <td>-0.6320</td>\n",
              "      <td>0.7166</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0807</td>\n",
              "      <td>0.4024</td>\n",
              "      <td>-0.0895</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9641</td>\n",
              "      <td>-0.1846</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>0.3154</td>\n",
              "      <td>-0.2071</td>\n",
              "      <td>-0.6158</td>\n",
              "      <td>-0.2977</td>\n",
              "      <td>0.0992</td>\n",
              "      <td>0.6838</td>\n",
              "      <td>0.5259</td>\n",
              "      <td>0.7882</td>\n",
              "      <td>0.3119</td>\n",
              "      <td>-0.7697</td>\n",
              "      <td>0.2203</td>\n",
              "      <td>-1.0710</td>\n",
              "      <td>0.5979</td>\n",
              "      <td>0.0848</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.6293</td>\n",
              "      <td>1.1660</td>\n",
              "      <td>0.3329</td>\n",
              "      <td>0.2754</td>\n",
              "      <td>0.4108</td>\n",
              "      <td>-0.1252</td>\n",
              "      <td>-0.2340</td>\n",
              "      <td>0.2267</td>\n",
              "      <td>0.1969</td>\n",
              "      <td>0.0262</td>\n",
              "      <td>-0.8121</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.5372</td>\n",
              "      <td>-0.3246</td>\n",
              "      <td>0.0631</td>\n",
              "      <td>0.9171</td>\n",
              "      <td>0.5258</td>\n",
              "      <td>0.4680</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6845</td>\n",
              "      <td>0.7127</td>\n",
              "      <td>0.7294</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>id_fffcb9e7c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.4392</td>\n",
              "      <td>0.2044</td>\n",
              "      <td>0.8531</td>\n",
              "      <td>-0.0343</td>\n",
              "      <td>0.0323</td>\n",
              "      <td>0.0463</td>\n",
              "      <td>0.4299</td>\n",
              "      <td>-0.7985</td>\n",
              "      <td>0.5742</td>\n",
              "      <td>0.1421</td>\n",
              "      <td>2.2700</td>\n",
              "      <td>0.2046</td>\n",
              "      <td>0.5363</td>\n",
              "      <td>-1.7330</td>\n",
              "      <td>0.1450</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.2024</td>\n",
              "      <td>0.9865</td>\n",
              "      <td>-0.7805</td>\n",
              "      <td>0.9608</td>\n",
              "      <td>0.3440</td>\n",
              "      <td>2.7650</td>\n",
              "      <td>0.4925</td>\n",
              "      <td>0.6698</td>\n",
              "      <td>0.2374</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.8771</td>\n",
              "      <td>-2.6560</td>\n",
              "      <td>-0.2000</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.6797</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>-0.0927</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3360</td>\n",
              "      <td>-0.6136</td>\n",
              "      <td>0.5011</td>\n",
              "      <td>0.9261</td>\n",
              "      <td>0.4419</td>\n",
              "      <td>0.0295</td>\n",
              "      <td>0.4220</td>\n",
              "      <td>0.4677</td>\n",
              "      <td>-0.1184</td>\n",
              "      <td>0.4524</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.1356</td>\n",
              "      <td>-0.5801</td>\n",
              "      <td>0.0411</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>-0.0270</td>\n",
              "      <td>-0.4194</td>\n",
              "      <td>0.7403</td>\n",
              "      <td>-0.6793</td>\n",
              "      <td>-0.1423</td>\n",
              "      <td>0.7307</td>\n",
              "      <td>0.7946</td>\n",
              "      <td>-0.0650</td>\n",
              "      <td>0.9038</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.9676</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.5187</td>\n",
              "      <td>-0.1105</td>\n",
              "      <td>0.4258</td>\n",
              "      <td>-0.2012</td>\n",
              "      <td>0.1506</td>\n",
              "      <td>1.5230</td>\n",
              "      <td>0.7101</td>\n",
              "      <td>0.1732</td>\n",
              "      <td>0.7015</td>\n",
              "      <td>-0.6290</td>\n",
              "      <td>0.0740</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>11769 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...     c96     c97     c98     c99\n",
              "0      id_000644bb2     com_droga     24   D1  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1      id_000779bfc     com_droga     72   D1  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2      id_000a6266a     com_droga     48   D1  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "6      id_001bd861f     com_droga     24   D2  ...  2.4670  0.0357  0.1351 -0.3179\n",
              "7      id_0020d0484     com_droga     48   D1  ...  0.6633  0.4562 -0.9622  0.0260\n",
              "...             ...           ...    ...  ...  ...     ...     ...     ...     ...\n",
              "23807  id_fff7e6992     com_droga     48   D1  ...  0.3738  0.8636  0.4494  0.1218\n",
              "23808  id_fff8c2444     com_droga     72   D1  ... -0.7415  0.8413 -0.4259  0.2434\n",
              "23809  id_fffb1ceed     com_droga     24   D2  ...  0.0631  0.9171  0.5258  0.4680\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "23812  id_fffcb9e7c     com_droga     24   D1  ...  0.1732  0.7015 -0.6290  0.0740\n",
              "\n",
              "[11769 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "irk9q_P4aZ7p"
      },
      "source": [
        "###Resolvendo o desafio 7: deixar os gráficos bonitões. (matplotlib.pyplot)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 421
        },
        "id": "yMc3XtMRadcS",
        "outputId": "51e306b6-b3c6-450a-fc66-5df108e656ad"
      },
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "dados['tempo'].value_counts().plot.bar()\n",
        "plt.xlabel('horas')\n",
        "plt.ylabel('Experimentos')\n",
        "plt.title('Gráfico da coluna Tempo')\n",
        "plt.xticks(rotation=0)"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([0, 1, 2]), <a list of 3 Text major ticklabel objects>)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JFdLODA06D5x"
      },
      "source": [
        "###Respondendo o desafio 8: resumo do que aprendeu com os dados.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AP5FY_6o6nWw"
      },
      "source": [
        "Os dados que vamos trabalhar, trata-se de experimentos com diferentes drogas para avaliar a expressão gênica quando expostas a um composto. \n",
        "\n",
        "Na coluna 'tratamento' vimos que foi separado uma porcentagem dos dados para controle. Não sendo essas células expostas a nenhuma droga.\n",
        "\n",
        "Na coluna 'tempo' vimos que as amostras foram separadas quase igualmente entre as classes 24, 48 e 72 horas. Que é o tempo de exposição da amostra à droga até a coleta dos dados.\n",
        "\n",
        "Contando os valores únicos da coluna 'droga' vimos que os experimentos se dividem em 3289 drogas.\n",
        "\n",
        "E por último as colunas G* e C* parecem estar normalizadas e as colunas G* referem-se à expressão dos genes."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bYf7YV-IZbf3"
      },
      "source": [
        "#Aula 2"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W04r1SVylc2L"
      },
      "source": [
        "Renomear coluna 'droga' para 'composto'"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4Al2tI2xZZNA"
      },
      "source": [
        "mapa = {'droga': 'composto'}\n",
        "dados.rename(columns=mapa, inplace=True)"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 251
        },
        "id": "dh5YTxFGkbc6",
        "outputId": "abc5634e-3db9-4993-8598-ee1b5b071d04"
      },
      "source": [
        "dados.head()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g0</th>\n",
              "      <th>g1</th>\n",
              "      <th>g2</th>\n",
              "      <th>g3</th>\n",
              "      <th>g4</th>\n",
              "      <th>g5</th>\n",
              "      <th>g6</th>\n",
              "      <th>g7</th>\n",
              "      <th>g8</th>\n",
              "      <th>g9</th>\n",
              "      <th>g10</th>\n",
              "      <th>g11</th>\n",
              "      <th>g12</th>\n",
              "      <th>g13</th>\n",
              "      <th>g14</th>\n",
              "      <th>g15</th>\n",
              "      <th>g16</th>\n",
              "      <th>g17</th>\n",
              "      <th>g18</th>\n",
              "      <th>g19</th>\n",
              "      <th>g20</th>\n",
              "      <th>g21</th>\n",
              "      <th>g22</th>\n",
              "      <th>g23</th>\n",
              "      <th>g24</th>\n",
              "      <th>g25</th>\n",
              "      <th>g26</th>\n",
              "      <th>g27</th>\n",
              "      <th>g28</th>\n",
              "      <th>g29</th>\n",
              "      <th>g30</th>\n",
              "      <th>g31</th>\n",
              "      <th>g32</th>\n",
              "      <th>g33</th>\n",
              "      <th>g34</th>\n",
              "      <th>...</th>\n",
              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
              "      <th>c62</th>\n",
              "      <th>c63</th>\n",
              "      <th>c64</th>\n",
              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
              "      <th>c69</th>\n",
              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4805</td>\n",
              "      <td>0.4965</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.1220</td>\n",
              "      <td>-0.3752</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id tratamento  tempo dose  ...     c96     c97     c98     c99\n",
              "0  id_000644bb2  com_droga     24   D1  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1  id_000779bfc  com_droga     72   D1  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2  id_000a6266a  com_droga     48   D1  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "3  id_0015fd391  com_droga     48   D1  ... -1.6210 -0.8784 -0.3876 -0.8154\n",
              "4  id_001626bd3  com_droga     72   D2  ...  0.1094  0.2885 -0.3786  0.7125\n",
              "\n",
              "[5 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vhDt7bbgk47P"
      },
      "source": [
        "gráfico de barras com a quantidade de experimentos realizados com os 5 composto mais frequentes com o seaborn.countplot"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BTz1DwzZk4Ol"
      },
      "source": [
        "top5_compostos = dados['composto'].value_counts()[:5].index\n",
        "qtd_top5_compostos = dados.query('composto in @top5_compostos')"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DcKHofe0ny7T"
      },
      "source": [
        "###Respondendo o desafio 1: Ordenar o gráfico countplot"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i9vPmaUJr8b_"
      },
      "source": [
        "###Respondendo o desafio 2: Melhorar a visualização alterando tamanho da fonte das legendas do gráfico"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 415
        },
        "id": "pqe6scMhmCTn",
        "outputId": "f45de208-3e6a-4e71-f931-7e28f2b137bf"
      },
      "source": [
        "sns.set()\n",
        "plt.figure(figsize=(8,6))\n",
        "ax = sns.countplot(x='composto', data=qtd_top5_compostos, order=top5_compostos)\n",
        "plt.title('Compostos Mais Frequentes', fontsize=20)\n",
        "plt.xlabel('Compostos')\n",
        "plt.ylabel('Quantidade')\n",
        "plt.show()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eYnlYhmZ0bRz"
      },
      "source": [
        "plotar histograma do g0 com 50 bins"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "rNRidZmB0ZQ_",
        "outputId": "6971748f-19c9-4620-8975-3dd42f623e15"
      },
      "source": [
        "dados['g0'].hist(bins=50)"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1d84df2990>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QeJCAwj60rBp"
      },
      "source": [
        "plotar histograma do g19 com 50 bins"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "_nrFXsqO0rfp",
        "outputId": "612fec1d-7c3a-47c9-e5c1-c8a78ee25858"
      },
      "source": [
        "dados['g19'].hist(bins=50)"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1d84f9ec50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iBNkA2Fe01bs"
      },
      "source": [
        "selecionar apenas as colunas g* (loc) e mostrar o describe"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hx-ICahf02BH"
      },
      "source": [
        "dados_genes = dados.loc[:,'g0':'g771'].describe().T"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n2pNpo3MsJna"
      },
      "source": [
        "plotar histograma da média, min e max do G0"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "F2HbtiMgsV1z",
        "outputId": "69203492-30f9-4642-e7a9-d5eee3436a3c"
      },
      "source": [
        "dados_genes[\"mean\"].hist(bins=50)"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1d84bd5f50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "vpbowtR1sjii",
        "outputId": "a1e6c399-11ab-425a-8410-a9ad41d4b849"
      },
      "source": [
        "dados_genes[\"min\"].hist(bins=50)"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1d8483e790>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        },
        "id": "FfZGMye0slUw",
        "outputId": "ecb91cc6-3fc5-479a-f083-1f319bf0bd21"
      },
      "source": [
        "dados_genes[\"max\"].hist(bins=50)"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1d84836f10>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WSZ4jB1RswB7"
      },
      "source": [
        "### Respondendo o desafio 3: Plotar os histogramas com seaborn."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 416
        },
        "id": "VpzUk3JHs1ro",
        "outputId": "f6111d50-ef84-4b2b-b81e-cd15175ca10a"
      },
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "ax = sns.histplot(data=dados_genes, x=\"mean\", bins=50)\n",
        "plt.title('Média da expressão gênica', fontsize=20)\n",
        "plt.xlabel('Média')\n",
        "plt.ylabel('Quantidade')\n",
        "plt.show()"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 416
        },
        "id": "S2eRBgb6tkB7",
        "outputId": "8ff3d126-088a-49ba-e6d2-a9e994caf8bb"
      },
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "ax = sns.histplot(data=dados_genes, x=\"min\", bins=50)\n",
        "plt.title('Mínimos da expressão gênica', fontsize=20)\n",
        "plt.xlabel('Mínimos')\n",
        "plt.ylabel('Quantidade')\n",
        "plt.show()"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 416
        },
        "id": "kTIDjD4ktqRN",
        "outputId": "31db83cc-44e2-49af-a812-4e755d5f1855"
      },
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "ax = sns.histplot(data=dados_genes, x=\"max\", bins=50)\n",
        "plt.title('Máximos da expressão gênica', fontsize=20)\n",
        "plt.xlabel('Máximos')\n",
        "plt.ylabel('Quantidade')\n",
        "plt.show()"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0OehNJg6t2l6"
      },
      "source": [
        "### Respondendo o desafio 4: estudar sobre as estatísticas retornadas no .describe()"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6Nk9QncAuAem",
        "outputId": "31bac675-22e0-4746-8bc8-c21cf1e46edc"
      },
      "source": [
        "print(dados.describe().index.values)"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['count' 'mean' 'std' 'min' '25%' '50%' '75%' 'max']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KFcGYcpauKxZ"
      },
      "source": [
        "**count** - é a quantidade de linhas não nulas.\n",
        "\n",
        "**mean** - é a média dos valores.\n",
        "\n",
        "**std** - é o desvio padrão.\n",
        "\n",
        "**min** - é o menor valor da série.\n",
        "\n",
        "**25%, 50% e 75%** - são os quartis. [leia mais](https://pt.wikipedia.org/wiki/Quartil)\n",
        "\n",
        "**max** - é o maior valor da série.\n",
        "\n",
        "[Sobre o .describe()](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.describe.html)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GeV1NoKMlQnL"
      },
      "source": [
        "refazer os passos dos G's com o os C's"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9FcHC2F4lRhV"
      },
      "source": [
        "dados_celulas = dados.loc[:,'c0':'c99'].describe().T"
      ],
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 416
        },
        "id": "ZU0V7-Zcm_02",
        "outputId": "4ba526e3-ffac-42f3-afe5-3d7549ea9d46"
      },
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "ax = sns.histplot(data=dados_celulas, x=\"mean\", bins=50)\n",
        "plt.title('Média dos tipos celulares', fontsize=20)\n",
        "plt.xlabel('Média')\n",
        "plt.ylabel('Quantidade')\n",
        "plt.show()"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 415
        },
        "id": "ELzW4atPnNXg",
        "outputId": "62b49b0c-4c91-433f-ac56-36045effd08b"
      },
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "ax = sns.histplot(data=dados_celulas, x=\"min\", bins=50)\n",
        "plt.title('Mínimos dos tipos celulares', fontsize=20)\n",
        "plt.xlabel('Mínimos')\n",
        "plt.ylabel('Quantidade')\n",
        "plt.show()"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 416
        },
        "id": "SL-ragH_nRGK",
        "outputId": "7d44fce8-85e9-4772-8db7-8e340c8db61a"
      },
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "ax = sns.histplot(data=dados_celulas, x=\"max\", bins=50)\n",
        "plt.title('Máximos dos tipos celulares', fontsize=20)\n",
        "plt.xlabel('Máximos')\n",
        "plt.ylabel('Quantidade')\n",
        "plt.show()"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hAv37D34w7pd"
      },
      "source": [
        "plotar um boxplot com o seaborn"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 303
        },
        "id": "acvNNL-1w-gi",
        "outputId": "509ce645-f314-4bcc-987b-91b85bd5ce32"
      },
      "source": [
        "sns.boxplot(x='g0', data=dados)"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1d84546dd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "id": "i-6_gzOC1oBO",
        "outputId": "cb36bd95-975d-41b7-a488-04560f2e8796"
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.boxplot(y='g0', x='tratamento', data=dados)"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1d844d8610>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BRdtsxxG12IZ"
      },
      "source": [
        "### Respondendo o desafio 5: Refletir sobre a manipulação do tamanho das visualizações\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "88OMNfvJ2jfq"
      },
      "source": [
        "Analizando outros boxplots na internet, percebe-se que o formato padrão dele é realmente formar caixas representando os quartis. \n",
        "\n",
        "Acredito que o formato alcançado no exemplo da aula deve-se a grande quantidade de outliers na distribuição.\n",
        "\n",
        "Melhora um pouco a visualização do boxplot configurando um tamanho de 12,4 com os boxplots na horizontal."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 264
        },
        "id": "YDwFlxEb2MtM",
        "outputId": "e695a8cc-29d5-494a-9deb-07de8e57b1c1"
      },
      "source": [
        "plt.figure(figsize=(15,4))\n",
        "sns.boxplot(x='g0', y='tratamento', data=dados)"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1d31672310>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RwJ977KM3WhT"
      },
      "source": [
        "###Respondendo o desafio 6: Fazer outras análises com o boxplot e até com o histograma."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "id": "WPWaTr8N3qe9",
        "outputId": "120f2bb6-b97f-47d6-e3e5-134a043e97e8"
      },
      "source": [
        "plt.figure(figsize=(15,4))\n",
        "#o próximo passo foi necessário para transformar a coluna tempo em uma coluna categórica\n",
        "dados['tempo'] = dados['tempo'].astype('category') \n",
        "sns.boxplot(x='g0', y='tempo', data=dados)"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1d825ea990>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "sv-jmYup_umW",
        "outputId": "8cf03085-4f98-4456-b3db-bbabbee095ad"
      },
      "source": [
        "plt.figure(figsize=(15,4))\n",
        "sns.boxplot(x='g0', y='dose', data=dados)"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1d37bbbd50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QcRDbN9kSTZ2"
      },
      "source": [
        "###Respondendo o desafio 7: resumo do que aprendeu com os dados."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PbmllZroSeRd"
      },
      "source": [
        "Quando plotamos o histograma da média percebemos uma possível distribuição normal dos dados e ao plotar o histograma dos mínimos e máximos vemos que aparentemente foi determinado um intervalo de valores e todos que passavam esses valores eram considerados -10 pro mínimo e 10 pro máximo.\n",
        "\n",
        "Na plotagem dos boxplot vimos que há muitos outlines nos dados."
      ]
    }
  ]
}