Aula01_ImersaoDados_Desafios.ipynb

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      "name": "Aula01_ImersaoDados_Desafios.ipynb",
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/tamsmchado/imersao_dados_alura/blob/main/Aula01_ImersaoDados_Desafios.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kRUa6iLtNPck"
      },
      "source": [
        "# Introdução"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5Kc9emUfdY9x"
      },
      "source": [
        "**Seguem abaixo alguns conceitos que podem nos ajudar na compreensão do estudo.**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iVjzRWdqWieJ"
      },
      "source": [
        "## Bioinformática"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fevpFH56OOCG"
      },
      "source": [
        "O que é Bioinformática e qual sua relação com a Ciência de Dados?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HHJVSvITOwUG"
      },
      "source": [
        "Segundo o site de pesquisa Wikipédia, Bioinformática é:\n",
        "\n",
        "\"Bioinformática é um campo interdisciplinar que corresponde à aplicação das técnicas da informática, no sentido de análise da informação, nas áreas de estudo da biologia. Como um campo interdisciplinar da ciência, a bioinformática combina a biologia, ciência da computação, estatística, matemática e engenharia para analisar, interpretar e processar dados biológicos.\"\n",
        "\n",
        "Ainda lendo sobre Bioinformática na Wikipédia temos a seguente afirmação que nos apresenta uma relação direta entre Bioinformática e Ciência de Dados:\n",
        "\n",
        "\"Bioinformática organiza e analisa dados biológicos (...). Analisar dados biológicos para produzir informações significativas envolve escrita e execução de programas que usam **algoritmos de teoria de grafos, inteligência artificial, mineração de dados, processamento de imagens e simulação computacional**. Os algoritmos, por sua vez dependem de fundamentos teóricos, tais como matemática discreta, teoria de controle, teoria de sistemas, teoria da informação e estatística.\"\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PcG6PhmwWJ4r"
      },
      "source": [
        "Segue o link para leitura completa sobre Bioinformática:\n",
        "https://pt.wikipedia.org/wiki/Bioinform%C3%A1tica"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KfmxVu5hWwCY"
      },
      "source": [
        "## Droga"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wjR6IaWWXs7u"
      },
      "source": [
        "\"Droga é toda e qualquer substância, natural ou sintética que, uma vez introduzida no organismo, modifica suas funções.\n",
        "\n",
        "Em medicina, refere-se a qualquer substância com o potencial de prevenir ou curar doenças ou aumentar o bem-estar físico ou mental; em farmacologia, refere-se a qualquer agente químico que altera os processos bioquímicos e fisiológicos de tecidos ou organismos.\"\n",
        "\n",
        "Link para mais informações: https://pt.wikipedia.org/wiki/Droga"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "japl3JOmZ4ZW"
      },
      "source": [
        "## Grupo Controle (com_controle) x Grupo Experimental ou Tratamento (com_droga)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4MYQ7T_BcXZd"
      },
      "source": [
        "\"Em um experimento , os dados de um grupo experimental são comparados com os dados de um grupo de controle. Esses dois grupos devem ser idênticos em todos os aspectos, exceto um: a diferença entre um grupo de controle e um grupo experimental é que a variável independente é alterada para o grupo experimental, mas é mantida constante no grupo de controle.\"\n",
        "\n",
        "\"Um grupo experimental é uma amostra de teste ou o grupo que recebe um procedimento experimental. Este grupo está exposto a mudanças na variável independente que está sendo testada. Os valores da variável independente e o impacto na variável dependente são registrados. Um experimento pode incluir vários grupos experimentais ao mesmo tempo.\"\n",
        "\n",
        "\"Um grupo de controle é um grupo separado do resto do experimento de forma que a variável independente sendo testada não possa influenciar os resultados. Isso isola os efeitos da variável independente no experimento e pode ajudar a descartar explicações alternativas dos resultados experimentais.\"\n",
        "\n",
        "\n",
        "\n",
        "**Um bom exemplo pode facilitar muito:**\n",
        "\n",
        "\"Um exemplo simples de um experimento controlado pode ser usado para determinar se as plantas precisam ou não de ser regadas para viver. O grupo de controle seria composto por plantas que não são regadas. O grupo experimental seria composto por plantas que recebem água.\"\n",
        "\n",
        "\n",
        "Segue o link para leitura completa: https://www.greelane.com/pt/ci%C3%AAncia-tecnologia-matem%C3%A1tica/ci%C3%AAncia/control-and-experimental-group-differences-606113"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-K84Gcp7eR-U"
      },
      "source": [
        "#Desafios"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JhsSZGBP3aot"
      },
      "source": [
        "## Aula 01"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YKxQfgLieYzU"
      },
      "source": [
        "### Importanto as bibliotecas necessárias para resolução dos desafios"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BRMtcsdyehlq"
      },
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jeGM9eDGfe62"
      },
      "source": [
        "### Carregando a base de dados"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 247
        },
        "id": "lgf3Io-FfkoG",
        "outputId": "0277863c-c169-418c-8291-5bf07f9005be"
      },
      "source": [
        "url_dados = 'https://github.com/alura-cursos/imersaodados3/blob/main/dados/dados_experimentos.zip?raw=true'\n",
        "\n",
        "dados = pd.read_csv(url_dados, compression = 'zip')\n",
        "\n",
        "dados.head()"
      ],
      "execution_count": 3,
      "outputs": [
        {
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              "      <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": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WdB_SCevezYz"
      },
      "source": [
        "### Desafio 01: Investigar por que a classe tratamento é tão desbalanceada?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HqwWOK09q8qB"
      },
      "source": [
        "https://pandas.pydata.org/docs/reference/api/pandas.Series.value_counts.html\n",
        "\n",
        "https://pandas.pydata.org/docs/reference/api/pandas.Series.unique.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cTaCAk8PfBYP",
        "outputId": "db274427-d315-4fcd-cbce-d1606c8a1e3c"
      },
      "source": [
        "dados['tratamento'].value_counts()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "com_droga       21948\n",
              "com_controle     1866\n",
              "Name: tratamento, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l_wM-uz7gUlB",
        "outputId": "fd12479e-7f39-4fe9-d47e-3d44a666aca5"
      },
      "source": [
        "dados['tratamento'].value_counts(normalize = True) "
      ],
      "execution_count": 5,
      "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": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "mgRoUbx4lbAS",
        "outputId": "706b2db9-61d4-4e46-fc36-2576344d5dba"
      },
      "source": [
        "dados[dados['tratamento'] == 'com_controle']"
      ],
      "execution_count": 6,
      "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>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>id_0054388ec</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.6696</td>\n",
              "      <td>-0.2718</td>\n",
              "      <td>-1.2230</td>\n",
              "      <td>-0.6226</td>\n",
              "      <td>-0.7220</td>\n",
              "      <td>0.1588</td>\n",
              "      <td>0.7785</td>\n",
              "      <td>0.7062</td>\n",
              "      <td>-0.7951</td>\n",
              "      <td>1.3770</td>\n",
              "      <td>0.2856</td>\n",
              "      <td>-0.8331</td>\n",
              "      <td>0.3879</td>\n",
              "      <td>1.3290</td>\n",
              "      <td>-0.4746</td>\n",
              "      <td>0.0857</td>\n",
              "      <td>-0.2745</td>\n",
              "      <td>-0.1093</td>\n",
              "      <td>0.2603</td>\n",
              "      <td>0.7386</td>\n",
              "      <td>-0.6665</td>\n",
              "      <td>-1.6520</td>\n",
              "      <td>-0.9262</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.6310</td>\n",
              "      <td>-0.2933</td>\n",
              "      <td>0.2043</td>\n",
              "      <td>-2.2070</td>\n",
              "      <td>0.1383</td>\n",
              "      <td>-0.4966</td>\n",
              "      <td>0.6922</td>\n",
              "      <td>-0.4077</td>\n",
              "      <td>0.2303</td>\n",
              "      <td>-0.0456</td>\n",
              "      <td>-0.7447</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6976</td>\n",
              "      <td>-0.0178</td>\n",
              "      <td>0.3768</td>\n",
              "      <td>0.4318</td>\n",
              "      <td>-0.1051</td>\n",
              "      <td>0.3933</td>\n",
              "      <td>-0.3189</td>\n",
              "      <td>0.4128</td>\n",
              "      <td>-0.2116</td>\n",
              "      <td>-1.0410</td>\n",
              "      <td>0.7798</td>\n",
              "      <td>0.1579</td>\n",
              "      <td>1.7250</td>\n",
              "      <td>1.4490</td>\n",
              "      <td>0.9117</td>\n",
              "      <td>-0.0754</td>\n",
              "      <td>-0.8396</td>\n",
              "      <td>0.7640</td>\n",
              "      <td>1.2080</td>\n",
              "      <td>1.1890</td>\n",
              "      <td>0.2114</td>\n",
              "      <td>0.6335</td>\n",
              "      <td>0.3265</td>\n",
              "      <td>-0.1056</td>\n",
              "      <td>0.5478</td>\n",
              "      <td>0.7477</td>\n",
              "      <td>1.2340</td>\n",
              "      <td>0.5035</td>\n",
              "      <td>-0.6591</td>\n",
              "      <td>0.3023</td>\n",
              "      <td>0.6171</td>\n",
              "      <td>0.6405</td>\n",
              "      <td>0.5429</td>\n",
              "      <td>0.3562</td>\n",
              "      <td>1.3290</td>\n",
              "      <td>0.5573</td>\n",
              "      <td>0.8837</td>\n",
              "      <td>0.5534</td>\n",
              "      <td>0.8976</td>\n",
              "      <td>1.0050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>id_0079af0fb</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.1636</td>\n",
              "      <td>-1.8230</td>\n",
              "      <td>-0.5211</td>\n",
              "      <td>0.3054</td>\n",
              "      <td>-1.1280</td>\n",
              "      <td>0.6041</td>\n",
              "      <td>0.3856</td>\n",
              "      <td>-0.1670</td>\n",
              "      <td>-0.5400</td>\n",
              "      <td>0.2721</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>0.0761</td>\n",
              "      <td>-0.4054</td>\n",
              "      <td>2.9760</td>\n",
              "      <td>-0.7679</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>0.0752</td>\n",
              "      <td>0.5943</td>\n",
              "      <td>0.4266</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.0410</td>\n",
              "      <td>-0.1131</td>\n",
              "      <td>0.6593</td>\n",
              "      <td>-0.6890</td>\n",
              "      <td>0.5115</td>\n",
              "      <td>-0.2512</td>\n",
              "      <td>-0.8775</td>\n",
              "      <td>-1.3810</td>\n",
              "      <td>0.1419</td>\n",
              "      <td>-0.0363</td>\n",
              "      <td>0.2559</td>\n",
              "      <td>2.5290</td>\n",
              "      <td>0.2853</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.3626</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.3420</td>\n",
              "      <td>0.2815</td>\n",
              "      <td>-0.7493</td>\n",
              "      <td>-0.2701</td>\n",
              "      <td>0.1205</td>\n",
              "      <td>0.2396</td>\n",
              "      <td>0.3506</td>\n",
              "      <td>-0.9233</td>\n",
              "      <td>0.2490</td>\n",
              "      <td>-0.0824</td>\n",
              "      <td>0.4841</td>\n",
              "      <td>1.1940</td>\n",
              "      <td>-1.1650</td>\n",
              "      <td>-0.4853</td>\n",
              "      <td>1.1080</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>0.7438</td>\n",
              "      <td>0.2050</td>\n",
              "      <td>-0.2761</td>\n",
              "      <td>-0.1748</td>\n",
              "      <td>0.3385</td>\n",
              "      <td>-0.3500</td>\n",
              "      <td>-0.0309</td>\n",
              "      <td>-0.0409</td>\n",
              "      <td>-0.0735</td>\n",
              "      <td>0.2732</td>\n",
              "      <td>-1.2100</td>\n",
              "      <td>0.0089</td>\n",
              "      <td>0.0317</td>\n",
              "      <td>0.4721</td>\n",
              "      <td>-0.3880</td>\n",
              "      <td>-0.6828</td>\n",
              "      <td>-0.6594</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.3571</td>\n",
              "      <td>-0.1319</td>\n",
              "      <td>0.2187</td>\n",
              "      <td>0.0737</td>\n",
              "      <td>0.6498</td>\n",
              "      <td>-1.4820</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>id_007bfbb91</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-1.3200</td>\n",
              "      <td>-1.7340</td>\n",
              "      <td>-0.0741</td>\n",
              "      <td>1.5440</td>\n",
              "      <td>-1.8290</td>\n",
              "      <td>-0.0951</td>\n",
              "      <td>0.3829</td>\n",
              "      <td>-1.8700</td>\n",
              "      <td>-0.0324</td>\n",
              "      <td>2.7670</td>\n",
              "      <td>-0.0438</td>\n",
              "      <td>-0.0147</td>\n",
              "      <td>0.1276</td>\n",
              "      <td>0.2968</td>\n",
              "      <td>-0.0704</td>\n",
              "      <td>-0.3767</td>\n",
              "      <td>2.5790</td>\n",
              "      <td>0.4069</td>\n",
              "      <td>-0.3868</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>1.8180</td>\n",
              "      <td>-2.9390</td>\n",
              "      <td>-0.1150</td>\n",
              "      <td>-0.8009</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>0.5412</td>\n",
              "      <td>-0.0804</td>\n",
              "      <td>-0.4444</td>\n",
              "      <td>2.9230</td>\n",
              "      <td>2.8270</td>\n",
              "      <td>-0.3437</td>\n",
              "      <td>1.6570</td>\n",
              "      <td>-1.9200</td>\n",
              "      <td>0.3442</td>\n",
              "      <td>1.7160</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4009</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2789</td>\n",
              "      <td>0.4465</td>\n",
              "      <td>0.9492</td>\n",
              "      <td>0.6385</td>\n",
              "      <td>1.5510</td>\n",
              "      <td>-0.1220</td>\n",
              "      <td>0.6688</td>\n",
              "      <td>0.4396</td>\n",
              "      <td>0.6947</td>\n",
              "      <td>0.9761</td>\n",
              "      <td>1.2430</td>\n",
              "      <td>1.4770</td>\n",
              "      <td>-0.0081</td>\n",
              "      <td>1.0040</td>\n",
              "      <td>1.4420</td>\n",
              "      <td>-0.3482</td>\n",
              "      <td>0.3297</td>\n",
              "      <td>1.2070</td>\n",
              "      <td>0.0524</td>\n",
              "      <td>0.5346</td>\n",
              "      <td>0.7643</td>\n",
              "      <td>0.4067</td>\n",
              "      <td>0.3817</td>\n",
              "      <td>0.4566</td>\n",
              "      <td>0.7736</td>\n",
              "      <td>0.5316</td>\n",
              "      <td>0.2790</td>\n",
              "      <td>0.9735</td>\n",
              "      <td>0.7412</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>0.7393</td>\n",
              "      <td>1.1020</td>\n",
              "      <td>0.3786</td>\n",
              "      <td>0.2636</td>\n",
              "      <td>-0.5751</td>\n",
              "      <td>0.3362</td>\n",
              "      <td>0.8543</td>\n",
              "      <td>0.9180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>id_008a986b7</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.4860</td>\n",
              "      <td>0.1430</td>\n",
              "      <td>0.5281</td>\n",
              "      <td>-0.0022</td>\n",
              "      <td>-0.2334</td>\n",
              "      <td>-0.6607</td>\n",
              "      <td>0.6459</td>\n",
              "      <td>-0.0109</td>\n",
              "      <td>1.0120</td>\n",
              "      <td>-0.0864</td>\n",
              "      <td>-0.3817</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>0.9435</td>\n",
              "      <td>0.6296</td>\n",
              "      <td>0.3864</td>\n",
              "      <td>0.1420</td>\n",
              "      <td>0.9834</td>\n",
              "      <td>0.4189</td>\n",
              "      <td>0.7980</td>\n",
              "      <td>-0.2132</td>\n",
              "      <td>0.7651</td>\n",
              "      <td>-1.2410</td>\n",
              "      <td>0.0747</td>\n",
              "      <td>-1.5750</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.0840</td>\n",
              "      <td>0.6705</td>\n",
              "      <td>-0.7517</td>\n",
              "      <td>-0.2756</td>\n",
              "      <td>-1.0920</td>\n",
              "      <td>-0.8683</td>\n",
              "      <td>0.3021</td>\n",
              "      <td>-0.3164</td>\n",
              "      <td>-0.2074</td>\n",
              "      <td>0.4587</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2189</td>\n",
              "      <td>-0.5262</td>\n",
              "      <td>-0.2982</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>-1.0040</td>\n",
              "      <td>-0.6726</td>\n",
              "      <td>-0.0321</td>\n",
              "      <td>-0.5398</td>\n",
              "      <td>-0.7518</td>\n",
              "      <td>0.0370</td>\n",
              "      <td>0.7213</td>\n",
              "      <td>-0.3466</td>\n",
              "      <td>0.2354</td>\n",
              "      <td>-0.4432</td>\n",
              "      <td>-0.1020</td>\n",
              "      <td>-0.9391</td>\n",
              "      <td>-1.1970</td>\n",
              "      <td>0.1365</td>\n",
              "      <td>-0.9264</td>\n",
              "      <td>0.5828</td>\n",
              "      <td>-0.7379</td>\n",
              "      <td>-0.4354</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>-0.3771</td>\n",
              "      <td>-0.6525</td>\n",
              "      <td>-0.4169</td>\n",
              "      <td>-1.0640</td>\n",
              "      <td>-0.3331</td>\n",
              "      <td>-0.5761</td>\n",
              "      <td>-0.3085</td>\n",
              "      <td>-0.1866</td>\n",
              "      <td>0.7629</td>\n",
              "      <td>0.3288</td>\n",
              "      <td>-0.9915</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.4979</td>\n",
              "      <td>0.5281</td>\n",
              "      <td>-0.9245</td>\n",
              "      <td>-0.9367</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>63</th>\n",
              "      <td>id_009d8340f</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.4471</td>\n",
              "      <td>-0.0839</td>\n",
              "      <td>-0.3864</td>\n",
              "      <td>0.3196</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>-0.3156</td>\n",
              "      <td>-0.1187</td>\n",
              "      <td>1.1610</td>\n",
              "      <td>0.5838</td>\n",
              "      <td>-0.2996</td>\n",
              "      <td>-0.3995</td>\n",
              "      <td>1.0700</td>\n",
              "      <td>0.2969</td>\n",
              "      <td>-0.2785</td>\n",
              "      <td>0.9678</td>\n",
              "      <td>-0.1409</td>\n",
              "      <td>1.0850</td>\n",
              "      <td>-0.0656</td>\n",
              "      <td>-0.6502</td>\n",
              "      <td>0.3527</td>\n",
              "      <td>0.1998</td>\n",
              "      <td>0.0975</td>\n",
              "      <td>0.0563</td>\n",
              "      <td>-0.3578</td>\n",
              "      <td>-0.0657</td>\n",
              "      <td>0.5316</td>\n",
              "      <td>0.6573</td>\n",
              "      <td>-0.5355</td>\n",
              "      <td>1.2380</td>\n",
              "      <td>-0.4994</td>\n",
              "      <td>-0.8140</td>\n",
              "      <td>0.2567</td>\n",
              "      <td>-0.8155</td>\n",
              "      <td>1.1180</td>\n",
              "      <td>-0.2501</td>\n",
              "      <td>...</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.5214</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>-0.5903</td>\n",
              "      <td>0.1332</td>\n",
              "      <td>-0.3517</td>\n",
              "      <td>-0.3276</td>\n",
              "      <td>-0.4955</td>\n",
              "      <td>0.1359</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>0.5725</td>\n",
              "      <td>-0.1126</td>\n",
              "      <td>-0.0874</td>\n",
              "      <td>1.2220</td>\n",
              "      <td>-0.0641</td>\n",
              "      <td>0.0246</td>\n",
              "      <td>-0.5659</td>\n",
              "      <td>-0.7402</td>\n",
              "      <td>1.1170</td>\n",
              "      <td>-0.0612</td>\n",
              "      <td>-1.3040</td>\n",
              "      <td>-0.4025</td>\n",
              "      <td>0.3760</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>0.8064</td>\n",
              "      <td>-0.0170</td>\n",
              "      <td>0.3092</td>\n",
              "      <td>0.2671</td>\n",
              "      <td>0.3311</td>\n",
              "      <td>-0.4572</td>\n",
              "      <td>0.4795</td>\n",
              "      <td>0.3939</td>\n",
              "      <td>0.7665</td>\n",
              "      <td>0.7932</td>\n",
              "      <td>-0.6804</td>\n",
              "      <td>-0.0435</td>\n",
              "      <td>0.0949</td>\n",
              "      <td>0.2000</td>\n",
              "      <td>-0.4326</td>\n",
              "      <td>0.9364</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>23729</th>\n",
              "      <td>id_ff1f9e5fc</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.0465</td>\n",
              "      <td>0.6430</td>\n",
              "      <td>-0.2453</td>\n",
              "      <td>0.3521</td>\n",
              "      <td>0.6195</td>\n",
              "      <td>-0.6659</td>\n",
              "      <td>0.8263</td>\n",
              "      <td>0.5933</td>\n",
              "      <td>0.1388</td>\n",
              "      <td>-0.2246</td>\n",
              "      <td>-0.6127</td>\n",
              "      <td>-0.1687</td>\n",
              "      <td>1.5170</td>\n",
              "      <td>0.6243</td>\n",
              "      <td>-0.8399</td>\n",
              "      <td>-0.1881</td>\n",
              "      <td>-0.1583</td>\n",
              "      <td>0.0622</td>\n",
              "      <td>-0.1170</td>\n",
              "      <td>0.7722</td>\n",
              "      <td>0.0063</td>\n",
              "      <td>0.7347</td>\n",
              "      <td>-0.4820</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0938</td>\n",
              "      <td>-0.6062</td>\n",
              "      <td>0.6108</td>\n",
              "      <td>-0.4900</td>\n",
              "      <td>0.1075</td>\n",
              "      <td>0.3029</td>\n",
              "      <td>-0.1369</td>\n",
              "      <td>0.1946</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>1.1030</td>\n",
              "      <td>0.3444</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.4342</td>\n",
              "      <td>0.0541</td>\n",
              "      <td>0.9346</td>\n",
              "      <td>0.7595</td>\n",
              "      <td>-0.0139</td>\n",
              "      <td>0.2990</td>\n",
              "      <td>-0.7176</td>\n",
              "      <td>0.8572</td>\n",
              "      <td>0.2990</td>\n",
              "      <td>-0.2060</td>\n",
              "      <td>0.9029</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.0802</td>\n",
              "      <td>0.0686</td>\n",
              "      <td>-0.3934</td>\n",
              "      <td>0.2344</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.0144</td>\n",
              "      <td>-1.0080</td>\n",
              "      <td>0.8748</td>\n",
              "      <td>1.2900</td>\n",
              "      <td>0.5188</td>\n",
              "      <td>0.5824</td>\n",
              "      <td>0.0182</td>\n",
              "      <td>0.7578</td>\n",
              "      <td>1.1910</td>\n",
              "      <td>-0.3264</td>\n",
              "      <td>0.6882</td>\n",
              "      <td>0.7486</td>\n",
              "      <td>0.6438</td>\n",
              "      <td>0.6085</td>\n",
              "      <td>0.1621</td>\n",
              "      <td>-0.2065</td>\n",
              "      <td>0.8314</td>\n",
              "      <td>-0.1891</td>\n",
              "      <td>-0.0074</td>\n",
              "      <td>0.2131</td>\n",
              "      <td>-0.1419</td>\n",
              "      <td>-0.2422</td>\n",
              "      <td>0.0457</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23747</th>\n",
              "      <td>id_ff469c482</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.6204</td>\n",
              "      <td>-1.3800</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>-0.6573</td>\n",
              "      <td>-0.8408</td>\n",
              "      <td>-0.2447</td>\n",
              "      <td>1.3490</td>\n",
              "      <td>-0.5155</td>\n",
              "      <td>1.2610</td>\n",
              "      <td>-0.1790</td>\n",
              "      <td>-0.7182</td>\n",
              "      <td>-0.7885</td>\n",
              "      <td>0.3022</td>\n",
              "      <td>2.0140</td>\n",
              "      <td>0.1667</td>\n",
              "      <td>-0.7325</td>\n",
              "      <td>-0.1553</td>\n",
              "      <td>0.8400</td>\n",
              "      <td>-0.1069</td>\n",
              "      <td>-0.7247</td>\n",
              "      <td>1.3430</td>\n",
              "      <td>1.5010</td>\n",
              "      <td>-1.3370</td>\n",
              "      <td>0.7190</td>\n",
              "      <td>-0.0843</td>\n",
              "      <td>0.4841</td>\n",
              "      <td>-0.9104</td>\n",
              "      <td>1.3990</td>\n",
              "      <td>0.7447</td>\n",
              "      <td>-1.2110</td>\n",
              "      <td>0.6562</td>\n",
              "      <td>0.1265</td>\n",
              "      <td>0.3036</td>\n",
              "      <td>2.2600</td>\n",
              "      <td>-1.3770</td>\n",
              "      <td>...</td>\n",
              "      <td>0.9633</td>\n",
              "      <td>-0.4057</td>\n",
              "      <td>-0.2206</td>\n",
              "      <td>0.5111</td>\n",
              "      <td>-0.8666</td>\n",
              "      <td>0.4692</td>\n",
              "      <td>0.8903</td>\n",
              "      <td>0.6648</td>\n",
              "      <td>0.2922</td>\n",
              "      <td>0.2440</td>\n",
              "      <td>1.0960</td>\n",
              "      <td>1.2420</td>\n",
              "      <td>1.0430</td>\n",
              "      <td>1.4310</td>\n",
              "      <td>1.0040</td>\n",
              "      <td>1.0320</td>\n",
              "      <td>0.7345</td>\n",
              "      <td>0.8025</td>\n",
              "      <td>0.7174</td>\n",
              "      <td>0.1932</td>\n",
              "      <td>-0.2609</td>\n",
              "      <td>0.3501</td>\n",
              "      <td>0.5916</td>\n",
              "      <td>0.9193</td>\n",
              "      <td>0.1398</td>\n",
              "      <td>0.0243</td>\n",
              "      <td>0.4820</td>\n",
              "      <td>-0.4428</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.4166</td>\n",
              "      <td>0.8209</td>\n",
              "      <td>0.7366</td>\n",
              "      <td>0.5468</td>\n",
              "      <td>1.1450</td>\n",
              "      <td>0.5254</td>\n",
              "      <td>0.6224</td>\n",
              "      <td>-0.9630</td>\n",
              "      <td>0.8872</td>\n",
              "      <td>-0.0742</td>\n",
              "      <td>-0.6777</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23768</th>\n",
              "      <td>id_ff89331ca</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.1051</td>\n",
              "      <td>0.4335</td>\n",
              "      <td>0.3648</td>\n",
              "      <td>-0.0525</td>\n",
              "      <td>-0.3632</td>\n",
              "      <td>-0.3228</td>\n",
              "      <td>-2.3190</td>\n",
              "      <td>-0.5294</td>\n",
              "      <td>0.1878</td>\n",
              "      <td>0.5047</td>\n",
              "      <td>1.3820</td>\n",
              "      <td>0.6107</td>\n",
              "      <td>2.4790</td>\n",
              "      <td>0.4347</td>\n",
              "      <td>0.9422</td>\n",
              "      <td>-0.1042</td>\n",
              "      <td>-0.2611</td>\n",
              "      <td>1.5760</td>\n",
              "      <td>-0.0232</td>\n",
              "      <td>-0.2455</td>\n",
              "      <td>0.8058</td>\n",
              "      <td>-2.4180</td>\n",
              "      <td>-0.5838</td>\n",
              "      <td>-0.1626</td>\n",
              "      <td>-0.8609</td>\n",
              "      <td>-0.2021</td>\n",
              "      <td>0.1494</td>\n",
              "      <td>0.6618</td>\n",
              "      <td>1.3080</td>\n",
              "      <td>-0.7822</td>\n",
              "      <td>0.3923</td>\n",
              "      <td>-0.4608</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>0.3173</td>\n",
              "      <td>0.7622</td>\n",
              "      <td>...</td>\n",
              "      <td>1.2340</td>\n",
              "      <td>-0.1665</td>\n",
              "      <td>-0.0318</td>\n",
              "      <td>0.8694</td>\n",
              "      <td>0.4048</td>\n",
              "      <td>0.1281</td>\n",
              "      <td>0.0164</td>\n",
              "      <td>1.0670</td>\n",
              "      <td>1.5790</td>\n",
              "      <td>0.2428</td>\n",
              "      <td>1.1330</td>\n",
              "      <td>-1.2310</td>\n",
              "      <td>0.3626</td>\n",
              "      <td>-0.4737</td>\n",
              "      <td>0.2937</td>\n",
              "      <td>0.1638</td>\n",
              "      <td>-0.1554</td>\n",
              "      <td>0.9236</td>\n",
              "      <td>0.0937</td>\n",
              "      <td>0.9598</td>\n",
              "      <td>0.4738</td>\n",
              "      <td>-0.2608</td>\n",
              "      <td>0.3577</td>\n",
              "      <td>-1.2040</td>\n",
              "      <td>0.8125</td>\n",
              "      <td>1.4260</td>\n",
              "      <td>0.2223</td>\n",
              "      <td>0.3079</td>\n",
              "      <td>1.1490</td>\n",
              "      <td>1.7320</td>\n",
              "      <td>-0.1219</td>\n",
              "      <td>0.4885</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.9434</td>\n",
              "      <td>-0.4779</td>\n",
              "      <td>0.6951</td>\n",
              "      <td>0.9517</td>\n",
              "      <td>-0.8110</td>\n",
              "      <td>-0.1748</td>\n",
              "      <td>-0.3626</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23793</th>\n",
              "      <td>id_ffd26f361</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.6008</td>\n",
              "      <td>0.2781</td>\n",
              "      <td>-0.3319</td>\n",
              "      <td>-0.8782</td>\n",
              "      <td>0.9281</td>\n",
              "      <td>0.7535</td>\n",
              "      <td>0.5971</td>\n",
              "      <td>1.6350</td>\n",
              "      <td>-0.3146</td>\n",
              "      <td>0.4984</td>\n",
              "      <td>-1.1890</td>\n",
              "      <td>0.3772</td>\n",
              "      <td>-0.8196</td>\n",
              "      <td>0.1083</td>\n",
              "      <td>-2.0350</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.7586</td>\n",
              "      <td>-0.4024</td>\n",
              "      <td>-0.0449</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.2358</td>\n",
              "      <td>0.7919</td>\n",
              "      <td>-0.8775</td>\n",
              "      <td>0.4232</td>\n",
              "      <td>1.8460</td>\n",
              "      <td>-2.0940</td>\n",
              "      <td>0.1438</td>\n",
              "      <td>-0.6604</td>\n",
              "      <td>0.7243</td>\n",
              "      <td>0.0338</td>\n",
              "      <td>-0.0182</td>\n",
              "      <td>-0.2022</td>\n",
              "      <td>0.8827</td>\n",
              "      <td>0.3147</td>\n",
              "      <td>-0.9263</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1934</td>\n",
              "      <td>1.2240</td>\n",
              "      <td>-0.1178</td>\n",
              "      <td>0.1459</td>\n",
              "      <td>-0.1242</td>\n",
              "      <td>0.3106</td>\n",
              "      <td>-0.7959</td>\n",
              "      <td>0.5681</td>\n",
              "      <td>0.3663</td>\n",
              "      <td>0.4874</td>\n",
              "      <td>-0.0548</td>\n",
              "      <td>0.1810</td>\n",
              "      <td>1.3470</td>\n",
              "      <td>1.6210</td>\n",
              "      <td>-0.8260</td>\n",
              "      <td>0.3377</td>\n",
              "      <td>0.3264</td>\n",
              "      <td>0.9241</td>\n",
              "      <td>0.3012</td>\n",
              "      <td>1.2980</td>\n",
              "      <td>-0.2789</td>\n",
              "      <td>0.7019</td>\n",
              "      <td>-0.3528</td>\n",
              "      <td>0.7383</td>\n",
              "      <td>1.0300</td>\n",
              "      <td>0.6527</td>\n",
              "      <td>1.6750</td>\n",
              "      <td>-0.5046</td>\n",
              "      <td>0.2942</td>\n",
              "      <td>0.2950</td>\n",
              "      <td>1.2470</td>\n",
              "      <td>0.9569</td>\n",
              "      <td>-0.2065</td>\n",
              "      <td>-0.4918</td>\n",
              "      <td>0.7863</td>\n",
              "      <td>0.0504</td>\n",
              "      <td>0.8813</td>\n",
              "      <td>0.7757</td>\n",
              "      <td>-0.5272</td>\n",
              "      <td>0.7082</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",
              "  </tbody>\n",
              "</table>\n",
              "<p>1866 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...    c-96    c-97    c-98    c-99\n",
              "25     id_0054388ec  com_controle     48   D1  ...  0.8837  0.5534  0.8976  1.0050\n",
              "38     id_0079af0fb  com_controle     24   D1  ...  0.2187  0.0737  0.6498 -1.4820\n",
              "40     id_007bfbb91  com_controle     24   D2  ... -0.5751  0.3362  0.8543  0.9180\n",
              "47     id_008a986b7  com_controle     48   D2  ... -0.4979  0.5281 -0.9245 -0.9367\n",
              "63     id_009d8340f  com_controle     24   D2  ...  0.0949  0.2000 -0.4326  0.9364\n",
              "...             ...           ...    ...  ...  ...     ...     ...     ...     ...\n",
              "23729  id_ff1f9e5fc  com_controle     24   D1  ...  0.2131 -0.1419 -0.2422  0.0457\n",
              "23747  id_ff469c482  com_controle     72   D1  ... -0.9630  0.8872 -0.0742 -0.6777\n",
              "23768  id_ff89331ca  com_controle     72   D2  ...  0.9517 -0.8110 -0.1748 -0.3626\n",
              "23793  id_ffd26f361  com_controle     48   D2  ...  0.8813  0.7757 -0.5272  0.7082\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "\n",
              "[1866 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wyc22s-vljOG"
      },
      "source": [
        "Quando realizamos o filtro \"com_controle\" para a coluna \"tratamento\", verifica-se que a coluna \"droga\" aparenta receber apenas um tipo de droga. \n",
        "Para verificar se essa suposição é verdadeira aplica-se o método unique() para a coluna \"droga\" com os filtros \"com_controle\" e \"com_droga\" na coluna \"tratamento\", a fim de realizar a comparação valores recebidos na coluna \"droga\"."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4C25TXwxgytE",
        "outputId": "d0fce08c-ee58-4e3f-e1d0-30f976ec6f3f"
      },
      "source": [
        "dados['droga'][dados['tratamento'] == 'com_controle'].unique()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['cacb2b860'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s_51UGi5hj5W",
        "outputId": "ac2eda65-effc-46d0-ed5d-ca5c70261e79"
      },
      "source": [
        "dados['droga'][dados['tratamento'] == 'com_droga'].unique()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['b68db1d53', 'df89a8e5a', '18bb41b2c', ..., '573c787a2',\n",
              "       'b2fe3eca7', 'dd4a96d16'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c0lQ_YWlmdVp"
      },
      "source": [
        "Suposição verdadeira!\n",
        "\n",
        "Ao aplicar o método unique() vericamos que a coluna \"tratamento\" com valores \"com_controle\" só recebem um tipo de droga, 'cacb2b860'. Já os casos de \"tratamento\" e filtro \"com_droga\" recebem várias drogas diferenres. \n",
        "Isso ocorre, pois, assim como verificamos na seção \"Grupo Controle (com_controle) x Grupo Experimental ou Tratamento (com_droga)\", um experimeno pode incluir diversos grupos experimentais diferentes, neste caso, testando diferentes substâncias em cada grupo. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r6f_VZuhqGm0"
      },
      "source": [
        "### Desafio 02: Plotar as 5 últimas linhas do DataFrame."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 247
        },
        "id": "AgKuF41bqHjF",
        "outputId": "92bdeb45-52c7-463e-8f21-a304b446a96c"
      },
      "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>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</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  ...    c-96    c-97    c-98    c-99\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": "aS1Mw7ZxqbUH"
      },
      "source": [
        "### Desafio 03: Proporção das classes tratamento."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kweYYmqlqzGn"
      },
      "source": [
        "https://pandas.pydata.org/docs/reference/api/pandas.Series.value_counts.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sZz1xA5bqTMA",
        "outputId": "610a603c-210a-47b0-857f-b7ed3b380581"
      },
      "source": [
        "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": "TcDvQ-JrrpRQ"
      },
      "source": [
        "### Desafio 04: Quantos tipos de drogas foram investigados"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AW4oHATRsbhm"
      },
      "source": [
        "Utilizando value_counts()\n",
        "\n",
        "https://pandas.pydata.org/docs/reference/api/pandas.Series.value_counts.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hyrLeHJKqinC",
        "outputId": "744b5d17-74e5-4063-db08-4ee6f21fd0e4"
      },
      "source": [
        "dados['droga'].value_counts()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "cacb2b860    1866\n",
              "87d714366     718\n",
              "9f80f3f77     246\n",
              "8b87a7a83     203\n",
              "5628cb3ee     202\n",
              "             ... \n",
              "1502f8cbb       1\n",
              "a6334fda8       1\n",
              "ed64cad3a       1\n",
              "866e7bc56       1\n",
              "125db1da8       1\n",
              "Name: droga, Length: 3289, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-QPnhzcqstPZ"
      },
      "source": [
        "Temos que 3289 drogas foram investigadas e a contagem de quantas vezes cada uma aparece no estudo."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aV_gME7ntHRu"
      },
      "source": [
        "Utilizando o drop_duplicates()\n",
        "\n",
        "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.drop_duplicates.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YeRcTMFssoS4",
        "outputId": "9c1ab615-2596-4726-d0d0-fc157f3257f6"
      },
      "source": [
        "dados['droga'].drop_duplicates()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        b68db1d53\n",
              "1        df89a8e5a\n",
              "2        18bb41b2c\n",
              "3        8c7f86626\n",
              "4        7cbed3131\n",
              "           ...    \n",
              "23258    19b95658c\n",
              "23284    73aa9f9ff\n",
              "23343    573c787a2\n",
              "23570    b2fe3eca7\n",
              "23757    dd4a96d16\n",
              "Name: droga, Length: 3289, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1KGWUFcHtWtW"
      },
      "source": [
        "Também retorna 3289 drogas, porém apenas mostrando quais são essas drogas e em que posição no DataFrame elas aparecem pela primeira vez."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FT_YMPTruJIo"
      },
      "source": [
        "### Desafio 05: Procurar na documentação o método query(pandas)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "morBDKjyuOOr"
      },
      "source": [
        "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.query.html\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iAcRYnSsvtff"
      },
      "source": [
        "Fazendo o filtro da coluna \"g-0\" sem precisar renomear as colunas. Utilizando a crase."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "6WRrEb4UwGEx",
        "outputId": "85a5c736-9c9a-4ac8-a0fd-abded1880f10"
      },
      "source": [
        "dados.query('`g-0` > 0')"
      ],
      "execution_count": 13,
      "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>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</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  ...    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",
              "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": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gss465XlubBN"
      },
      "source": [
        "Replicando alguns filtros feitos anteriormente, agora utilizando query"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "IcazPoxGuwvE",
        "outputId": "ef80cd74-e891-4f11-f08c-169e6f349e49"
      },
      "source": [
        "dados.query('tratamento == \"com_controle\"')"
      ],
      "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",
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              "\n",
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              "<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>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>id_0054388ec</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.6696</td>\n",
              "      <td>-0.2718</td>\n",
              "      <td>-1.2230</td>\n",
              "      <td>-0.6226</td>\n",
              "      <td>-0.7220</td>\n",
              "      <td>0.1588</td>\n",
              "      <td>0.7785</td>\n",
              "      <td>0.7062</td>\n",
              "      <td>-0.7951</td>\n",
              "      <td>1.3770</td>\n",
              "      <td>0.2856</td>\n",
              "      <td>-0.8331</td>\n",
              "      <td>0.3879</td>\n",
              "      <td>1.3290</td>\n",
              "      <td>-0.4746</td>\n",
              "      <td>0.0857</td>\n",
              "      <td>-0.2745</td>\n",
              "      <td>-0.1093</td>\n",
              "      <td>0.2603</td>\n",
              "      <td>0.7386</td>\n",
              "      <td>-0.6665</td>\n",
              "      <td>-1.6520</td>\n",
              "      <td>-0.9262</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.6310</td>\n",
              "      <td>-0.2933</td>\n",
              "      <td>0.2043</td>\n",
              "      <td>-2.2070</td>\n",
              "      <td>0.1383</td>\n",
              "      <td>-0.4966</td>\n",
              "      <td>0.6922</td>\n",
              "      <td>-0.4077</td>\n",
              "      <td>0.2303</td>\n",
              "      <td>-0.0456</td>\n",
              "      <td>-0.7447</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6976</td>\n",
              "      <td>-0.0178</td>\n",
              "      <td>0.3768</td>\n",
              "      <td>0.4318</td>\n",
              "      <td>-0.1051</td>\n",
              "      <td>0.3933</td>\n",
              "      <td>-0.3189</td>\n",
              "      <td>0.4128</td>\n",
              "      <td>-0.2116</td>\n",
              "      <td>-1.0410</td>\n",
              "      <td>0.7798</td>\n",
              "      <td>0.1579</td>\n",
              "      <td>1.7250</td>\n",
              "      <td>1.4490</td>\n",
              "      <td>0.9117</td>\n",
              "      <td>-0.0754</td>\n",
              "      <td>-0.8396</td>\n",
              "      <td>0.7640</td>\n",
              "      <td>1.2080</td>\n",
              "      <td>1.1890</td>\n",
              "      <td>0.2114</td>\n",
              "      <td>0.6335</td>\n",
              "      <td>0.3265</td>\n",
              "      <td>-0.1056</td>\n",
              "      <td>0.5478</td>\n",
              "      <td>0.7477</td>\n",
              "      <td>1.2340</td>\n",
              "      <td>0.5035</td>\n",
              "      <td>-0.6591</td>\n",
              "      <td>0.3023</td>\n",
              "      <td>0.6171</td>\n",
              "      <td>0.6405</td>\n",
              "      <td>0.5429</td>\n",
              "      <td>0.3562</td>\n",
              "      <td>1.3290</td>\n",
              "      <td>0.5573</td>\n",
              "      <td>0.8837</td>\n",
              "      <td>0.5534</td>\n",
              "      <td>0.8976</td>\n",
              "      <td>1.0050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>id_0079af0fb</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.1636</td>\n",
              "      <td>-1.8230</td>\n",
              "      <td>-0.5211</td>\n",
              "      <td>0.3054</td>\n",
              "      <td>-1.1280</td>\n",
              "      <td>0.6041</td>\n",
              "      <td>0.3856</td>\n",
              "      <td>-0.1670</td>\n",
              "      <td>-0.5400</td>\n",
              "      <td>0.2721</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>0.0761</td>\n",
              "      <td>-0.4054</td>\n",
              "      <td>2.9760</td>\n",
              "      <td>-0.7679</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>0.0752</td>\n",
              "      <td>0.5943</td>\n",
              "      <td>0.4266</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.0410</td>\n",
              "      <td>-0.1131</td>\n",
              "      <td>0.6593</td>\n",
              "      <td>-0.6890</td>\n",
              "      <td>0.5115</td>\n",
              "      <td>-0.2512</td>\n",
              "      <td>-0.8775</td>\n",
              "      <td>-1.3810</td>\n",
              "      <td>0.1419</td>\n",
              "      <td>-0.0363</td>\n",
              "      <td>0.2559</td>\n",
              "      <td>2.5290</td>\n",
              "      <td>0.2853</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.3626</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.3420</td>\n",
              "      <td>0.2815</td>\n",
              "      <td>-0.7493</td>\n",
              "      <td>-0.2701</td>\n",
              "      <td>0.1205</td>\n",
              "      <td>0.2396</td>\n",
              "      <td>0.3506</td>\n",
              "      <td>-0.9233</td>\n",
              "      <td>0.2490</td>\n",
              "      <td>-0.0824</td>\n",
              "      <td>0.4841</td>\n",
              "      <td>1.1940</td>\n",
              "      <td>-1.1650</td>\n",
              "      <td>-0.4853</td>\n",
              "      <td>1.1080</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>0.7438</td>\n",
              "      <td>0.2050</td>\n",
              "      <td>-0.2761</td>\n",
              "      <td>-0.1748</td>\n",
              "      <td>0.3385</td>\n",
              "      <td>-0.3500</td>\n",
              "      <td>-0.0309</td>\n",
              "      <td>-0.0409</td>\n",
              "      <td>-0.0735</td>\n",
              "      <td>0.2732</td>\n",
              "      <td>-1.2100</td>\n",
              "      <td>0.0089</td>\n",
              "      <td>0.0317</td>\n",
              "      <td>0.4721</td>\n",
              "      <td>-0.3880</td>\n",
              "      <td>-0.6828</td>\n",
              "      <td>-0.6594</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.3571</td>\n",
              "      <td>-0.1319</td>\n",
              "      <td>0.2187</td>\n",
              "      <td>0.0737</td>\n",
              "      <td>0.6498</td>\n",
              "      <td>-1.4820</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>id_007bfbb91</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-1.3200</td>\n",
              "      <td>-1.7340</td>\n",
              "      <td>-0.0741</td>\n",
              "      <td>1.5440</td>\n",
              "      <td>-1.8290</td>\n",
              "      <td>-0.0951</td>\n",
              "      <td>0.3829</td>\n",
              "      <td>-1.8700</td>\n",
              "      <td>-0.0324</td>\n",
              "      <td>2.7670</td>\n",
              "      <td>-0.0438</td>\n",
              "      <td>-0.0147</td>\n",
              "      <td>0.1276</td>\n",
              "      <td>0.2968</td>\n",
              "      <td>-0.0704</td>\n",
              "      <td>-0.3767</td>\n",
              "      <td>2.5790</td>\n",
              "      <td>0.4069</td>\n",
              "      <td>-0.3868</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>1.8180</td>\n",
              "      <td>-2.9390</td>\n",
              "      <td>-0.1150</td>\n",
              "      <td>-0.8009</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>0.5412</td>\n",
              "      <td>-0.0804</td>\n",
              "      <td>-0.4444</td>\n",
              "      <td>2.9230</td>\n",
              "      <td>2.8270</td>\n",
              "      <td>-0.3437</td>\n",
              "      <td>1.6570</td>\n",
              "      <td>-1.9200</td>\n",
              "      <td>0.3442</td>\n",
              "      <td>1.7160</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4009</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2789</td>\n",
              "      <td>0.4465</td>\n",
              "      <td>0.9492</td>\n",
              "      <td>0.6385</td>\n",
              "      <td>1.5510</td>\n",
              "      <td>-0.1220</td>\n",
              "      <td>0.6688</td>\n",
              "      <td>0.4396</td>\n",
              "      <td>0.6947</td>\n",
              "      <td>0.9761</td>\n",
              "      <td>1.2430</td>\n",
              "      <td>1.4770</td>\n",
              "      <td>-0.0081</td>\n",
              "      <td>1.0040</td>\n",
              "      <td>1.4420</td>\n",
              "      <td>-0.3482</td>\n",
              "      <td>0.3297</td>\n",
              "      <td>1.2070</td>\n",
              "      <td>0.0524</td>\n",
              "      <td>0.5346</td>\n",
              "      <td>0.7643</td>\n",
              "      <td>0.4067</td>\n",
              "      <td>0.3817</td>\n",
              "      <td>0.4566</td>\n",
              "      <td>0.7736</td>\n",
              "      <td>0.5316</td>\n",
              "      <td>0.2790</td>\n",
              "      <td>0.9735</td>\n",
              "      <td>0.7412</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>0.7393</td>\n",
              "      <td>1.1020</td>\n",
              "      <td>0.3786</td>\n",
              "      <td>0.2636</td>\n",
              "      <td>-0.5751</td>\n",
              "      <td>0.3362</td>\n",
              "      <td>0.8543</td>\n",
              "      <td>0.9180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>id_008a986b7</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.4860</td>\n",
              "      <td>0.1430</td>\n",
              "      <td>0.5281</td>\n",
              "      <td>-0.0022</td>\n",
              "      <td>-0.2334</td>\n",
              "      <td>-0.6607</td>\n",
              "      <td>0.6459</td>\n",
              "      <td>-0.0109</td>\n",
              "      <td>1.0120</td>\n",
              "      <td>-0.0864</td>\n",
              "      <td>-0.3817</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>0.9435</td>\n",
              "      <td>0.6296</td>\n",
              "      <td>0.3864</td>\n",
              "      <td>0.1420</td>\n",
              "      <td>0.9834</td>\n",
              "      <td>0.4189</td>\n",
              "      <td>0.7980</td>\n",
              "      <td>-0.2132</td>\n",
              "      <td>0.7651</td>\n",
              "      <td>-1.2410</td>\n",
              "      <td>0.0747</td>\n",
              "      <td>-1.5750</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.0840</td>\n",
              "      <td>0.6705</td>\n",
              "      <td>-0.7517</td>\n",
              "      <td>-0.2756</td>\n",
              "      <td>-1.0920</td>\n",
              "      <td>-0.8683</td>\n",
              "      <td>0.3021</td>\n",
              "      <td>-0.3164</td>\n",
              "      <td>-0.2074</td>\n",
              "      <td>0.4587</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2189</td>\n",
              "      <td>-0.5262</td>\n",
              "      <td>-0.2982</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>-1.0040</td>\n",
              "      <td>-0.6726</td>\n",
              "      <td>-0.0321</td>\n",
              "      <td>-0.5398</td>\n",
              "      <td>-0.7518</td>\n",
              "      <td>0.0370</td>\n",
              "      <td>0.7213</td>\n",
              "      <td>-0.3466</td>\n",
              "      <td>0.2354</td>\n",
              "      <td>-0.4432</td>\n",
              "      <td>-0.1020</td>\n",
              "      <td>-0.9391</td>\n",
              "      <td>-1.1970</td>\n",
              "      <td>0.1365</td>\n",
              "      <td>-0.9264</td>\n",
              "      <td>0.5828</td>\n",
              "      <td>-0.7379</td>\n",
              "      <td>-0.4354</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>-0.3771</td>\n",
              "      <td>-0.6525</td>\n",
              "      <td>-0.4169</td>\n",
              "      <td>-1.0640</td>\n",
              "      <td>-0.3331</td>\n",
              "      <td>-0.5761</td>\n",
              "      <td>-0.3085</td>\n",
              "      <td>-0.1866</td>\n",
              "      <td>0.7629</td>\n",
              "      <td>0.3288</td>\n",
              "      <td>-0.9915</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.4979</td>\n",
              "      <td>0.5281</td>\n",
              "      <td>-0.9245</td>\n",
              "      <td>-0.9367</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>63</th>\n",
              "      <td>id_009d8340f</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.4471</td>\n",
              "      <td>-0.0839</td>\n",
              "      <td>-0.3864</td>\n",
              "      <td>0.3196</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>-0.3156</td>\n",
              "      <td>-0.1187</td>\n",
              "      <td>1.1610</td>\n",
              "      <td>0.5838</td>\n",
              "      <td>-0.2996</td>\n",
              "      <td>-0.3995</td>\n",
              "      <td>1.0700</td>\n",
              "      <td>0.2969</td>\n",
              "      <td>-0.2785</td>\n",
              "      <td>0.9678</td>\n",
              "      <td>-0.1409</td>\n",
              "      <td>1.0850</td>\n",
              "      <td>-0.0656</td>\n",
              "      <td>-0.6502</td>\n",
              "      <td>0.3527</td>\n",
              "      <td>0.1998</td>\n",
              "      <td>0.0975</td>\n",
              "      <td>0.0563</td>\n",
              "      <td>-0.3578</td>\n",
              "      <td>-0.0657</td>\n",
              "      <td>0.5316</td>\n",
              "      <td>0.6573</td>\n",
              "      <td>-0.5355</td>\n",
              "      <td>1.2380</td>\n",
              "      <td>-0.4994</td>\n",
              "      <td>-0.8140</td>\n",
              "      <td>0.2567</td>\n",
              "      <td>-0.8155</td>\n",
              "      <td>1.1180</td>\n",
              "      <td>-0.2501</td>\n",
              "      <td>...</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.5214</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>-0.5903</td>\n",
              "      <td>0.1332</td>\n",
              "      <td>-0.3517</td>\n",
              "      <td>-0.3276</td>\n",
              "      <td>-0.4955</td>\n",
              "      <td>0.1359</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>0.5725</td>\n",
              "      <td>-0.1126</td>\n",
              "      <td>-0.0874</td>\n",
              "      <td>1.2220</td>\n",
              "      <td>-0.0641</td>\n",
              "      <td>0.0246</td>\n",
              "      <td>-0.5659</td>\n",
              "      <td>-0.7402</td>\n",
              "      <td>1.1170</td>\n",
              "      <td>-0.0612</td>\n",
              "      <td>-1.3040</td>\n",
              "      <td>-0.4025</td>\n",
              "      <td>0.3760</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>0.8064</td>\n",
              "      <td>-0.0170</td>\n",
              "      <td>0.3092</td>\n",
              "      <td>0.2671</td>\n",
              "      <td>0.3311</td>\n",
              "      <td>-0.4572</td>\n",
              "      <td>0.4795</td>\n",
              "      <td>0.3939</td>\n",
              "      <td>0.7665</td>\n",
              "      <td>0.7932</td>\n",
              "      <td>-0.6804</td>\n",
              "      <td>-0.0435</td>\n",
              "      <td>0.0949</td>\n",
              "      <td>0.2000</td>\n",
              "      <td>-0.4326</td>\n",
              "      <td>0.9364</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>23729</th>\n",
              "      <td>id_ff1f9e5fc</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.0465</td>\n",
              "      <td>0.6430</td>\n",
              "      <td>-0.2453</td>\n",
              "      <td>0.3521</td>\n",
              "      <td>0.6195</td>\n",
              "      <td>-0.6659</td>\n",
              "      <td>0.8263</td>\n",
              "      <td>0.5933</td>\n",
              "      <td>0.1388</td>\n",
              "      <td>-0.2246</td>\n",
              "      <td>-0.6127</td>\n",
              "      <td>-0.1687</td>\n",
              "      <td>1.5170</td>\n",
              "      <td>0.6243</td>\n",
              "      <td>-0.8399</td>\n",
              "      <td>-0.1881</td>\n",
              "      <td>-0.1583</td>\n",
              "      <td>0.0622</td>\n",
              "      <td>-0.1170</td>\n",
              "      <td>0.7722</td>\n",
              "      <td>0.0063</td>\n",
              "      <td>0.7347</td>\n",
              "      <td>-0.4820</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0938</td>\n",
              "      <td>-0.6062</td>\n",
              "      <td>0.6108</td>\n",
              "      <td>-0.4900</td>\n",
              "      <td>0.1075</td>\n",
              "      <td>0.3029</td>\n",
              "      <td>-0.1369</td>\n",
              "      <td>0.1946</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>1.1030</td>\n",
              "      <td>0.3444</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.4342</td>\n",
              "      <td>0.0541</td>\n",
              "      <td>0.9346</td>\n",
              "      <td>0.7595</td>\n",
              "      <td>-0.0139</td>\n",
              "      <td>0.2990</td>\n",
              "      <td>-0.7176</td>\n",
              "      <td>0.8572</td>\n",
              "      <td>0.2990</td>\n",
              "      <td>-0.2060</td>\n",
              "      <td>0.9029</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.0802</td>\n",
              "      <td>0.0686</td>\n",
              "      <td>-0.3934</td>\n",
              "      <td>0.2344</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.0144</td>\n",
              "      <td>-1.0080</td>\n",
              "      <td>0.8748</td>\n",
              "      <td>1.2900</td>\n",
              "      <td>0.5188</td>\n",
              "      <td>0.5824</td>\n",
              "      <td>0.0182</td>\n",
              "      <td>0.7578</td>\n",
              "      <td>1.1910</td>\n",
              "      <td>-0.3264</td>\n",
              "      <td>0.6882</td>\n",
              "      <td>0.7486</td>\n",
              "      <td>0.6438</td>\n",
              "      <td>0.6085</td>\n",
              "      <td>0.1621</td>\n",
              "      <td>-0.2065</td>\n",
              "      <td>0.8314</td>\n",
              "      <td>-0.1891</td>\n",
              "      <td>-0.0074</td>\n",
              "      <td>0.2131</td>\n",
              "      <td>-0.1419</td>\n",
              "      <td>-0.2422</td>\n",
              "      <td>0.0457</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23747</th>\n",
              "      <td>id_ff469c482</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.6204</td>\n",
              "      <td>-1.3800</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>-0.6573</td>\n",
              "      <td>-0.8408</td>\n",
              "      <td>-0.2447</td>\n",
              "      <td>1.3490</td>\n",
              "      <td>-0.5155</td>\n",
              "      <td>1.2610</td>\n",
              "      <td>-0.1790</td>\n",
              "      <td>-0.7182</td>\n",
              "      <td>-0.7885</td>\n",
              "      <td>0.3022</td>\n",
              "      <td>2.0140</td>\n",
              "      <td>0.1667</td>\n",
              "      <td>-0.7325</td>\n",
              "      <td>-0.1553</td>\n",
              "      <td>0.8400</td>\n",
              "      <td>-0.1069</td>\n",
              "      <td>-0.7247</td>\n",
              "      <td>1.3430</td>\n",
              "      <td>1.5010</td>\n",
              "      <td>-1.3370</td>\n",
              "      <td>0.7190</td>\n",
              "      <td>-0.0843</td>\n",
              "      <td>0.4841</td>\n",
              "      <td>-0.9104</td>\n",
              "      <td>1.3990</td>\n",
              "      <td>0.7447</td>\n",
              "      <td>-1.2110</td>\n",
              "      <td>0.6562</td>\n",
              "      <td>0.1265</td>\n",
              "      <td>0.3036</td>\n",
              "      <td>2.2600</td>\n",
              "      <td>-1.3770</td>\n",
              "      <td>...</td>\n",
              "      <td>0.9633</td>\n",
              "      <td>-0.4057</td>\n",
              "      <td>-0.2206</td>\n",
              "      <td>0.5111</td>\n",
              "      <td>-0.8666</td>\n",
              "      <td>0.4692</td>\n",
              "      <td>0.8903</td>\n",
              "      <td>0.6648</td>\n",
              "      <td>0.2922</td>\n",
              "      <td>0.2440</td>\n",
              "      <td>1.0960</td>\n",
              "      <td>1.2420</td>\n",
              "      <td>1.0430</td>\n",
              "      <td>1.4310</td>\n",
              "      <td>1.0040</td>\n",
              "      <td>1.0320</td>\n",
              "      <td>0.7345</td>\n",
              "      <td>0.8025</td>\n",
              "      <td>0.7174</td>\n",
              "      <td>0.1932</td>\n",
              "      <td>-0.2609</td>\n",
              "      <td>0.3501</td>\n",
              "      <td>0.5916</td>\n",
              "      <td>0.9193</td>\n",
              "      <td>0.1398</td>\n",
              "      <td>0.0243</td>\n",
              "      <td>0.4820</td>\n",
              "      <td>-0.4428</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.4166</td>\n",
              "      <td>0.8209</td>\n",
              "      <td>0.7366</td>\n",
              "      <td>0.5468</td>\n",
              "      <td>1.1450</td>\n",
              "      <td>0.5254</td>\n",
              "      <td>0.6224</td>\n",
              "      <td>-0.9630</td>\n",
              "      <td>0.8872</td>\n",
              "      <td>-0.0742</td>\n",
              "      <td>-0.6777</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23768</th>\n",
              "      <td>id_ff89331ca</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.1051</td>\n",
              "      <td>0.4335</td>\n",
              "      <td>0.3648</td>\n",
              "      <td>-0.0525</td>\n",
              "      <td>-0.3632</td>\n",
              "      <td>-0.3228</td>\n",
              "      <td>-2.3190</td>\n",
              "      <td>-0.5294</td>\n",
              "      <td>0.1878</td>\n",
              "      <td>0.5047</td>\n",
              "      <td>1.3820</td>\n",
              "      <td>0.6107</td>\n",
              "      <td>2.4790</td>\n",
              "      <td>0.4347</td>\n",
              "      <td>0.9422</td>\n",
              "      <td>-0.1042</td>\n",
              "      <td>-0.2611</td>\n",
              "      <td>1.5760</td>\n",
              "      <td>-0.0232</td>\n",
              "      <td>-0.2455</td>\n",
              "      <td>0.8058</td>\n",
              "      <td>-2.4180</td>\n",
              "      <td>-0.5838</td>\n",
              "      <td>-0.1626</td>\n",
              "      <td>-0.8609</td>\n",
              "      <td>-0.2021</td>\n",
              "      <td>0.1494</td>\n",
              "      <td>0.6618</td>\n",
              "      <td>1.3080</td>\n",
              "      <td>-0.7822</td>\n",
              "      <td>0.3923</td>\n",
              "      <td>-0.4608</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>0.3173</td>\n",
              "      <td>0.7622</td>\n",
              "      <td>...</td>\n",
              "      <td>1.2340</td>\n",
              "      <td>-0.1665</td>\n",
              "      <td>-0.0318</td>\n",
              "      <td>0.8694</td>\n",
              "      <td>0.4048</td>\n",
              "      <td>0.1281</td>\n",
              "      <td>0.0164</td>\n",
              "      <td>1.0670</td>\n",
              "      <td>1.5790</td>\n",
              "      <td>0.2428</td>\n",
              "      <td>1.1330</td>\n",
              "      <td>-1.2310</td>\n",
              "      <td>0.3626</td>\n",
              "      <td>-0.4737</td>\n",
              "      <td>0.2937</td>\n",
              "      <td>0.1638</td>\n",
              "      <td>-0.1554</td>\n",
              "      <td>0.9236</td>\n",
              "      <td>0.0937</td>\n",
              "      <td>0.9598</td>\n",
              "      <td>0.4738</td>\n",
              "      <td>-0.2608</td>\n",
              "      <td>0.3577</td>\n",
              "      <td>-1.2040</td>\n",
              "      <td>0.8125</td>\n",
              "      <td>1.4260</td>\n",
              "      <td>0.2223</td>\n",
              "      <td>0.3079</td>\n",
              "      <td>1.1490</td>\n",
              "      <td>1.7320</td>\n",
              "      <td>-0.1219</td>\n",
              "      <td>0.4885</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.9434</td>\n",
              "      <td>-0.4779</td>\n",
              "      <td>0.6951</td>\n",
              "      <td>0.9517</td>\n",
              "      <td>-0.8110</td>\n",
              "      <td>-0.1748</td>\n",
              "      <td>-0.3626</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23793</th>\n",
              "      <td>id_ffd26f361</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.6008</td>\n",
              "      <td>0.2781</td>\n",
              "      <td>-0.3319</td>\n",
              "      <td>-0.8782</td>\n",
              "      <td>0.9281</td>\n",
              "      <td>0.7535</td>\n",
              "      <td>0.5971</td>\n",
              "      <td>1.6350</td>\n",
              "      <td>-0.3146</td>\n",
              "      <td>0.4984</td>\n",
              "      <td>-1.1890</td>\n",
              "      <td>0.3772</td>\n",
              "      <td>-0.8196</td>\n",
              "      <td>0.1083</td>\n",
              "      <td>-2.0350</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.7586</td>\n",
              "      <td>-0.4024</td>\n",
              "      <td>-0.0449</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.2358</td>\n",
              "      <td>0.7919</td>\n",
              "      <td>-0.8775</td>\n",
              "      <td>0.4232</td>\n",
              "      <td>1.8460</td>\n",
              "      <td>-2.0940</td>\n",
              "      <td>0.1438</td>\n",
              "      <td>-0.6604</td>\n",
              "      <td>0.7243</td>\n",
              "      <td>0.0338</td>\n",
              "      <td>-0.0182</td>\n",
              "      <td>-0.2022</td>\n",
              "      <td>0.8827</td>\n",
              "      <td>0.3147</td>\n",
              "      <td>-0.9263</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1934</td>\n",
              "      <td>1.2240</td>\n",
              "      <td>-0.1178</td>\n",
              "      <td>0.1459</td>\n",
              "      <td>-0.1242</td>\n",
              "      <td>0.3106</td>\n",
              "      <td>-0.7959</td>\n",
              "      <td>0.5681</td>\n",
              "      <td>0.3663</td>\n",
              "      <td>0.4874</td>\n",
              "      <td>-0.0548</td>\n",
              "      <td>0.1810</td>\n",
              "      <td>1.3470</td>\n",
              "      <td>1.6210</td>\n",
              "      <td>-0.8260</td>\n",
              "      <td>0.3377</td>\n",
              "      <td>0.3264</td>\n",
              "      <td>0.9241</td>\n",
              "      <td>0.3012</td>\n",
              "      <td>1.2980</td>\n",
              "      <td>-0.2789</td>\n",
              "      <td>0.7019</td>\n",
              "      <td>-0.3528</td>\n",
              "      <td>0.7383</td>\n",
              "      <td>1.0300</td>\n",
              "      <td>0.6527</td>\n",
              "      <td>1.6750</td>\n",
              "      <td>-0.5046</td>\n",
              "      <td>0.2942</td>\n",
              "      <td>0.2950</td>\n",
              "      <td>1.2470</td>\n",
              "      <td>0.9569</td>\n",
              "      <td>-0.2065</td>\n",
              "      <td>-0.4918</td>\n",
              "      <td>0.7863</td>\n",
              "      <td>0.0504</td>\n",
              "      <td>0.8813</td>\n",
              "      <td>0.7757</td>\n",
              "      <td>-0.5272</td>\n",
              "      <td>0.7082</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",
              "  </tbody>\n",
              "</table>\n",
              "<p>1866 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...    c-96    c-97    c-98    c-99\n",
              "25     id_0054388ec  com_controle     48   D1  ...  0.8837  0.5534  0.8976  1.0050\n",
              "38     id_0079af0fb  com_controle     24   D1  ...  0.2187  0.0737  0.6498 -1.4820\n",
              "40     id_007bfbb91  com_controle     24   D2  ... -0.5751  0.3362  0.8543  0.9180\n",
              "47     id_008a986b7  com_controle     48   D2  ... -0.4979  0.5281 -0.9245 -0.9367\n",
              "63     id_009d8340f  com_controle     24   D2  ...  0.0949  0.2000 -0.4326  0.9364\n",
              "...             ...           ...    ...  ...  ...     ...     ...     ...     ...\n",
              "23729  id_ff1f9e5fc  com_controle     24   D1  ...  0.2131 -0.1419 -0.2422  0.0457\n",
              "23747  id_ff469c482  com_controle     72   D1  ... -0.9630  0.8872 -0.0742 -0.6777\n",
              "23768  id_ff89331ca  com_controle     72   D2  ...  0.9517 -0.8110 -0.1748 -0.3626\n",
              "23793  id_ffd26f361  com_controle     48   D2  ...  0.8813  0.7757 -0.5272  0.7082\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "\n",
              "[1866 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "7X7WuPPwu5a2",
        "outputId": "ba913652-adc4-40c1-bedd-9e876a4599cc"
      },
      "source": [
        "dados.query('tratamento == \"com_droga\"')"
      ],
      "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>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</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>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>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>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>21948 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",
              "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",
              "23810  id_fffb70c0c  com_droga     24   D2  ... -0.2084 -0.1224 -0.2715  0.3689\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",
              "[21948 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zOVErCExwnjd"
      },
      "source": [
        "### Desafio 06: Renomear as colunas tirando do hífen"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cfrFkN_j3QBU"
      },
      "source": [
        "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.rename.html\n",
        "\n",
        "\n",
        "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.replace.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ocl7VxQxwojY"
      },
      "source": [
        "for item in dados.columns[5:]:\n",
        "  dados.rename(columns={item:item.replace('-', '_')},inplace=True)"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 247
        },
        "id": "DsqCvt_01hR9",
        "outputId": "f92348e2-e11a-4f1a-ce9f-dd29a4408473"
      },
      "source": [
        "dados.head()"
      ],
      "execution_count": 17,
      "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>g_0</th>\n",
              "      <th>g_1</th>\n",
              "      <th>g_2</th>\n",
              "      <th>g_3</th>\n",
              "      <th>g_4</th>\n",
              "      <th>g_5</th>\n",
              "      <th>g_6</th>\n",
              "      <th>g_7</th>\n",
              "      <th>g_8</th>\n",
              "      <th>g_9</th>\n",
              "      <th>g_10</th>\n",
              "      <th>g_11</th>\n",
              "      <th>g_12</th>\n",
              "      <th>g_13</th>\n",
              "      <th>g_14</th>\n",
              "      <th>g_15</th>\n",
              "      <th>g_16</th>\n",
              "      <th>g_17</th>\n",
              "      <th>g_18</th>\n",
              "      <th>g_19</th>\n",
              "      <th>g_20</th>\n",
              "      <th>g_21</th>\n",
              "      <th>g_22</th>\n",
              "      <th>g_23</th>\n",
              "      <th>g_24</th>\n",
              "      <th>g_25</th>\n",
              "      <th>g_26</th>\n",
              "      <th>g_27</th>\n",
              "      <th>g_28</th>\n",
              "      <th>g_29</th>\n",
              "      <th>g_30</th>\n",
              "      <th>g_31</th>\n",
              "      <th>g_32</th>\n",
              "      <th>g_33</th>\n",
              "      <th>g_34</th>\n",
              "      <th>...</th>\n",
              "      <th>c_60</th>\n",
              "      <th>c_61</th>\n",
              "      <th>c_62</th>\n",
              "      <th>c_63</th>\n",
              "      <th>c_64</th>\n",
              "      <th>c_65</th>\n",
              "      <th>c_66</th>\n",
              "      <th>c_67</th>\n",
              "      <th>c_68</th>\n",
              "      <th>c_69</th>\n",
              "      <th>c_70</th>\n",
              "      <th>c_71</th>\n",
              "      <th>c_72</th>\n",
              "      <th>c_73</th>\n",
              "      <th>c_74</th>\n",
              "      <th>c_75</th>\n",
              "      <th>c_76</th>\n",
              "      <th>c_77</th>\n",
              "      <th>c_78</th>\n",
              "      <th>c_79</th>\n",
              "      <th>c_80</th>\n",
              "      <th>c_81</th>\n",
              "      <th>c_82</th>\n",
              "      <th>c_83</th>\n",
              "      <th>c_84</th>\n",
              "      <th>c_85</th>\n",
              "      <th>c_86</th>\n",
              "      <th>c_87</th>\n",
              "      <th>c_88</th>\n",
              "      <th>c_89</th>\n",
              "      <th>c_90</th>\n",
              "      <th>c_91</th>\n",
              "      <th>c_92</th>\n",
              "      <th>c_93</th>\n",
              "      <th>c_94</th>\n",
              "      <th>c_95</th>\n",
              "      <th>c_96</th>\n",
              "      <th>c_97</th>\n",
              "      <th>c_98</th>\n",
              "      <th>c_99</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  ...    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": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D9LBvIPhGUyb"
      },
      "source": [
        "### Desafio 07: Deixar os gráficos bonitões(título, labels e etc). Usando matplotlib.pyplot"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-R3I-sEu7Jne",
        "outputId": "2c108702-9832-4c86-cdc2-0f4e4f338f48"
      },
      "source": [
        "dados['tratamento'].value_counts(normalize = True)"
      ],
      "execution_count": 18,
      "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": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        },
        "id": "_AlBqVAa3u3H",
        "outputId": "b3909c75-0975-4955-e1ee-23e77244e9f7"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "labels = dados['tratamento'].value_counts().index\n",
        "plt.figure(figsize=(15,6))\n",
        "ax = plt.subplot(1,2,1)\n",
        "ax.pie(dados['tratamento'].value_counts(), labels = labels, autopct='%1.1f%%')\n",
        "ax.set_title('Frequencia de Tratamento', fontsize = 18)\n",
        "\n",
        "ax = plt.subplot(1,2,2)\n",
        "ax.bar(x = dados['tratamento'].value_counts().index, height=dados['tratamento'].value_counts())\n",
        "ax.set_xlabel('Tipo de Tratamento', fontsize = 12)\n",
        "ax.set_ylabel('Quantidade de Elementos', fontsize = 12)\n",
        "ax.set_title('Frequencia de Tratamento', fontsize = 18)\n",
        "\n",
        "plt.tight_layout(pad=5)\n",
        "plt.show()\n",
        "\n"
      ],
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "yQwCZd4EOL98",
        "outputId": "f01d02be-d478-4562-801b-17ef88f4cb00"
      },
      "source": [
        "plt.figure(figsize=(10,5))\n",
        "plt.xlabel('Tempo de Exposição em horas', fontsize = 14)\n",
        "plt.ylabel('Quantidade de Elementos', fontsize = 14)\n",
        "plt.title('Quantidade de Elementos por Tempo de Exposição', fontsize = 18)\n",
        "dados['tempo'].value_counts().plot.bar()\n",
        "plt.show()"
      ],
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FaXBhbHm0wBQ"
      },
      "source": [
        "### Desafio 08: Resumo do que você aprendeu."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q6j-yxOG02D0"
      },
      "source": [
        "* Aprendi sobre Bioinformática e como a Ciência de Dados contribui para pesquisas e descobertas na área de biologio.\n",
        "* Aprendi como novos compostos são testados para descoberta de novas drogas.\n",
        "* Aprendi como são realizados os testes nos grupos celulares e entendi sobre grupo controle e grupo tratamento. Podem existir diversos grupos tratamento que recebem estímilos/compostos diferentes, mas só um grupo controle é necessário para realizar a comparação.\n",
        "* Aprendi sobre gene e expressão gênica e como estímulos podem gerar expressões gênicas diferentes."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QmzP2vE8306i"
      },
      "source": [
        "## Aula 02"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BP_5df0y4DKS"
      },
      "source": [
        "### Desafio 01: Ordenar as barras do gráfico countplot do maior para o menor."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ihx-qw1_5MjE"
      },
      "source": [
        "O gráfico Countplot da bibiloteca Seaborn consiste em plotar a contagem dos elementos de acordo com o parâmetro que lhe for passado. Para este desafio foi proposto plotar os 5 compostos mais significativos da coluna \"droga\" ordenando os compostos por sua quantidade do maior para o menor, mas para realizar esse desafio precisamos realizar algumas mudanças na nossa base de dados. Como foi sugerido na aula, deve-se alterar o nome da coluna \"droga\" para \"composto\", isso faz sentido porque os elementos contidos na coluna \"droga\" ainda não são de fato drogas, são compostos que estão sendo testados com potencial de se tornarem drogas.\n",
        "Então vamos precisar realizar alguns ajustes e segue abaixo o passo a passo.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qKX9ktvZ6Gtt"
      },
      "source": [
        "1. Renomeando a coluna \"droga\" para \"composto\""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 247
        },
        "id": "s0AZReJ16bx2",
        "outputId": "68dd05b9-b21f-48de-e346-44261a04bd74"
      },
      "source": [
        "dados.rename(columns={'droga': 'composto'}, inplace = True)\n",
        "dados.head()"
      ],
      "execution_count": 24,
      "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>g_0</th>\n",
              "      <th>g_1</th>\n",
              "      <th>g_2</th>\n",
              "      <th>g_3</th>\n",
              "      <th>g_4</th>\n",
              "      <th>g_5</th>\n",
              "      <th>g_6</th>\n",
              "      <th>g_7</th>\n",
              "      <th>g_8</th>\n",
              "      <th>g_9</th>\n",
              "      <th>g_10</th>\n",
              "      <th>g_11</th>\n",
              "      <th>g_12</th>\n",
              "      <th>g_13</th>\n",
              "      <th>g_14</th>\n",
              "      <th>g_15</th>\n",
              "      <th>g_16</th>\n",
              "      <th>g_17</th>\n",
              "      <th>g_18</th>\n",
              "      <th>g_19</th>\n",
              "      <th>g_20</th>\n",
              "      <th>g_21</th>\n",
              "      <th>g_22</th>\n",
              "      <th>g_23</th>\n",
              "      <th>g_24</th>\n",
              "      <th>g_25</th>\n",
              "      <th>g_26</th>\n",
              "      <th>g_27</th>\n",
              "      <th>g_28</th>\n",
              "      <th>g_29</th>\n",
              "      <th>g_30</th>\n",
              "      <th>g_31</th>\n",
              "      <th>g_32</th>\n",
              "      <th>g_33</th>\n",
              "      <th>g_34</th>\n",
              "      <th>...</th>\n",
              "      <th>c_60</th>\n",
              "      <th>c_61</th>\n",
              "      <th>c_62</th>\n",
              "      <th>c_63</th>\n",
              "      <th>c_64</th>\n",
              "      <th>c_65</th>\n",
              "      <th>c_66</th>\n",
              "      <th>c_67</th>\n",
              "      <th>c_68</th>\n",
              "      <th>c_69</th>\n",
              "      <th>c_70</th>\n",
              "      <th>c_71</th>\n",
              "      <th>c_72</th>\n",
              "      <th>c_73</th>\n",
              "      <th>c_74</th>\n",
              "      <th>c_75</th>\n",
              "      <th>c_76</th>\n",
              "      <th>c_77</th>\n",
              "      <th>c_78</th>\n",
              "      <th>c_79</th>\n",
              "      <th>c_80</th>\n",
              "      <th>c_81</th>\n",
              "      <th>c_82</th>\n",
              "      <th>c_83</th>\n",
              "      <th>c_84</th>\n",
              "      <th>c_85</th>\n",
              "      <th>c_86</th>\n",
              "      <th>c_87</th>\n",
              "      <th>c_88</th>\n",
              "      <th>c_89</th>\n",
              "      <th>c_90</th>\n",
              "      <th>c_91</th>\n",
              "      <th>c_92</th>\n",
              "      <th>c_93</th>\n",
              "      <th>c_94</th>\n",
              "      <th>c_95</th>\n",
              "      <th>c_96</th>\n",
              "      <th>c_97</th>\n",
              "      <th>c_98</th>\n",
              "      <th>c_99</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  ...    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": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dDxRwmaC8gCF"
      },
      "source": [
        "2. Criando a variável compostos que receberá a contagem dos elementos da coluna \"composto\" e o filtro dos 5 mais significativos.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MBZvhhXz89h5",
        "outputId": "4fa4495f-5927-43d1-f0a8-d673426d6b66"
      },
      "source": [
        "compostos = dados['composto'].value_counts()[:5]\n",
        "compostos"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "cacb2b860    1866\n",
              "87d714366     718\n",
              "9f80f3f77     246\n",
              "8b87a7a83     203\n",
              "5628cb3ee     202\n",
              "Name: composto, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "R3BZ5qGd-OvZ"
      },
      "source": [
        "3. Guardando na variável cod_composto o index do resultado gerado pela variável compostos, esse index represenda o nome dos top 5 compostos"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pxp_6PmY-1WC",
        "outputId": "b28b0cb7-d834-4b33-ee01-1cc8d6745897"
      },
      "source": [
        "cod_compostos = dados['composto'].value_counts().index[:5]\n",
        "cod_compostos"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['cacb2b860', '87d714366', '9f80f3f77', '8b87a7a83', '5628cb3ee'], dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NwZaMgFB-7A7"
      },
      "source": [
        "4. Fazendo um filtro na coluna \"compostos\" da base de dados utilizando o método query, na qual retornará a base de dados apenas com os elementos mais significativos"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "ziAAGQKZASdx",
        "outputId": "44932c5a-6108-4427-dd63-3769d35ebc83"
      },
      "source": [
        "dados.query('composto in @cod_compostos')"
      ],
      "execution_count": 33,
      "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>g_0</th>\n",
              "      <th>g_1</th>\n",
              "      <th>g_2</th>\n",
              "      <th>g_3</th>\n",
              "      <th>g_4</th>\n",
              "      <th>g_5</th>\n",
              "      <th>g_6</th>\n",
              "      <th>g_7</th>\n",
              "      <th>g_8</th>\n",
              "      <th>g_9</th>\n",
              "      <th>g_10</th>\n",
              "      <th>g_11</th>\n",
              "      <th>g_12</th>\n",
              "      <th>g_13</th>\n",
              "      <th>g_14</th>\n",
              "      <th>g_15</th>\n",
              "      <th>g_16</th>\n",
              "      <th>g_17</th>\n",
              "      <th>g_18</th>\n",
              "      <th>g_19</th>\n",
              "      <th>g_20</th>\n",
              "      <th>g_21</th>\n",
              "      <th>g_22</th>\n",
              "      <th>g_23</th>\n",
              "      <th>g_24</th>\n",
              "      <th>g_25</th>\n",
              "      <th>g_26</th>\n",
              "      <th>g_27</th>\n",
              "      <th>g_28</th>\n",
              "      <th>g_29</th>\n",
              "      <th>g_30</th>\n",
              "      <th>g_31</th>\n",
              "      <th>g_32</th>\n",
              "      <th>g_33</th>\n",
              "      <th>g_34</th>\n",
              "      <th>...</th>\n",
              "      <th>c_60</th>\n",
              "      <th>c_61</th>\n",
              "      <th>c_62</th>\n",
              "      <th>c_63</th>\n",
              "      <th>c_64</th>\n",
              "      <th>c_65</th>\n",
              "      <th>c_66</th>\n",
              "      <th>c_67</th>\n",
              "      <th>c_68</th>\n",
              "      <th>c_69</th>\n",
              "      <th>c_70</th>\n",
              "      <th>c_71</th>\n",
              "      <th>c_72</th>\n",
              "      <th>c_73</th>\n",
              "      <th>c_74</th>\n",
              "      <th>c_75</th>\n",
              "      <th>c_76</th>\n",
              "      <th>c_77</th>\n",
              "      <th>c_78</th>\n",
              "      <th>c_79</th>\n",
              "      <th>c_80</th>\n",
              "      <th>c_81</th>\n",
              "      <th>c_82</th>\n",
              "      <th>c_83</th>\n",
              "      <th>c_84</th>\n",
              "      <th>c_85</th>\n",
              "      <th>c_86</th>\n",
              "      <th>c_87</th>\n",
              "      <th>c_88</th>\n",
              "      <th>c_89</th>\n",
              "      <th>c_90</th>\n",
              "      <th>c_91</th>\n",
              "      <th>c_92</th>\n",
              "      <th>c_93</th>\n",
              "      <th>c_94</th>\n",
              "      <th>c_95</th>\n",
              "      <th>c_96</th>\n",
              "      <th>c_97</th>\n",
              "      <th>c_98</th>\n",
              "      <th>c_99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\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>16</th>\n",
              "      <td>id_002fb9c19</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>87d714366</td>\n",
              "      <td>8.7380</td>\n",
              "      <td>0.1914</td>\n",
              "      <td>2.4380</td>\n",
              "      <td>-0.2930</td>\n",
              "      <td>3.2010</td>\n",
              "      <td>1.4910</td>\n",
              "      <td>5.3920</td>\n",
              "      <td>-1.0420</td>\n",
              "      <td>-8.4860</td>\n",
              "      <td>-2.5790</td>\n",
              "      <td>-6.7470</td>\n",
              "      <td>3.6150</td>\n",
              "      <td>-1.4510</td>\n",
              "      <td>0.6909</td>\n",
              "      <td>-0.7623</td>\n",
              "      <td>-2.9400</td>\n",
              "      <td>-9.2850</td>\n",
              "      <td>-6.7110</td>\n",
              "      <td>-0.4195</td>\n",
              "      <td>1.1600</td>\n",
              "      <td>-1.3180</td>\n",
              "      <td>1.3660</td>\n",
              "      <td>-1.4020</td>\n",
              "      <td>-2.6220</td>\n",
              "      <td>0.7204</td>\n",
              "      <td>-2.5930</td>\n",
              "      <td>-4.0630</td>\n",
              "      <td>-0.8282</td>\n",
              "      <td>-3.5000</td>\n",
              "      <td>0.9206</td>\n",
              "      <td>-5.1450</td>\n",
              "      <td>9.8040</td>\n",
              "      <td>-2.6840</td>\n",
              "      <td>-2.4390</td>\n",
              "      <td>-0.1427</td>\n",
              "      <td>...</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-9.5910</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-8.5110</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-8.8870</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-4.9020</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-5.5520</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.7960</td>\n",
              "      <td>-8.1770</td>\n",
              "      <td>-9.8990</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-6.7840</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>id_0054388ec</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.6696</td>\n",
              "      <td>-0.2718</td>\n",
              "      <td>-1.2230</td>\n",
              "      <td>-0.6226</td>\n",
              "      <td>-0.7220</td>\n",
              "      <td>0.1588</td>\n",
              "      <td>0.7785</td>\n",
              "      <td>0.7062</td>\n",
              "      <td>-0.7951</td>\n",
              "      <td>1.3770</td>\n",
              "      <td>0.2856</td>\n",
              "      <td>-0.8331</td>\n",
              "      <td>0.3879</td>\n",
              "      <td>1.3290</td>\n",
              "      <td>-0.4746</td>\n",
              "      <td>0.0857</td>\n",
              "      <td>-0.2745</td>\n",
              "      <td>-0.1093</td>\n",
              "      <td>0.2603</td>\n",
              "      <td>0.7386</td>\n",
              "      <td>-0.6665</td>\n",
              "      <td>-1.6520</td>\n",
              "      <td>-0.9262</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.6310</td>\n",
              "      <td>-0.2933</td>\n",
              "      <td>0.2043</td>\n",
              "      <td>-2.2070</td>\n",
              "      <td>0.1383</td>\n",
              "      <td>-0.4966</td>\n",
              "      <td>0.6922</td>\n",
              "      <td>-0.4077</td>\n",
              "      <td>0.2303</td>\n",
              "      <td>-0.0456</td>\n",
              "      <td>-0.7447</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6976</td>\n",
              "      <td>-0.0178</td>\n",
              "      <td>0.3768</td>\n",
              "      <td>0.4318</td>\n",
              "      <td>-0.1051</td>\n",
              "      <td>0.3933</td>\n",
              "      <td>-0.3189</td>\n",
              "      <td>0.4128</td>\n",
              "      <td>-0.2116</td>\n",
              "      <td>-1.0410</td>\n",
              "      <td>0.7798</td>\n",
              "      <td>0.1579</td>\n",
              "      <td>1.7250</td>\n",
              "      <td>1.4490</td>\n",
              "      <td>0.9117</td>\n",
              "      <td>-0.0754</td>\n",
              "      <td>-0.8396</td>\n",
              "      <td>0.7640</td>\n",
              "      <td>1.2080</td>\n",
              "      <td>1.1890</td>\n",
              "      <td>0.2114</td>\n",
              "      <td>0.6335</td>\n",
              "      <td>0.3265</td>\n",
              "      <td>-0.1056</td>\n",
              "      <td>0.5478</td>\n",
              "      <td>0.7477</td>\n",
              "      <td>1.2340</td>\n",
              "      <td>0.5035</td>\n",
              "      <td>-0.6591</td>\n",
              "      <td>0.3023</td>\n",
              "      <td>0.6171</td>\n",
              "      <td>0.6405</td>\n",
              "      <td>0.5429</td>\n",
              "      <td>0.3562</td>\n",
              "      <td>1.3290</td>\n",
              "      <td>0.5573</td>\n",
              "      <td>0.8837</td>\n",
              "      <td>0.5534</td>\n",
              "      <td>0.8976</td>\n",
              "      <td>1.0050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>id_0079af0fb</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.1636</td>\n",
              "      <td>-1.8230</td>\n",
              "      <td>-0.5211</td>\n",
              "      <td>0.3054</td>\n",
              "      <td>-1.1280</td>\n",
              "      <td>0.6041</td>\n",
              "      <td>0.3856</td>\n",
              "      <td>-0.1670</td>\n",
              "      <td>-0.5400</td>\n",
              "      <td>0.2721</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>0.0761</td>\n",
              "      <td>-0.4054</td>\n",
              "      <td>2.9760</td>\n",
              "      <td>-0.7679</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>0.0752</td>\n",
              "      <td>0.5943</td>\n",
              "      <td>0.4266</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.0410</td>\n",
              "      <td>-0.1131</td>\n",
              "      <td>0.6593</td>\n",
              "      <td>-0.6890</td>\n",
              "      <td>0.5115</td>\n",
              "      <td>-0.2512</td>\n",
              "      <td>-0.8775</td>\n",
              "      <td>-1.3810</td>\n",
              "      <td>0.1419</td>\n",
              "      <td>-0.0363</td>\n",
              "      <td>0.2559</td>\n",
              "      <td>2.5290</td>\n",
              "      <td>0.2853</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.3626</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.3420</td>\n",
              "      <td>0.2815</td>\n",
              "      <td>-0.7493</td>\n",
              "      <td>-0.2701</td>\n",
              "      <td>0.1205</td>\n",
              "      <td>0.2396</td>\n",
              "      <td>0.3506</td>\n",
              "      <td>-0.9233</td>\n",
              "      <td>0.2490</td>\n",
              "      <td>-0.0824</td>\n",
              "      <td>0.4841</td>\n",
              "      <td>1.1940</td>\n",
              "      <td>-1.1650</td>\n",
              "      <td>-0.4853</td>\n",
              "      <td>1.1080</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>0.7438</td>\n",
              "      <td>0.2050</td>\n",
              "      <td>-0.2761</td>\n",
              "      <td>-0.1748</td>\n",
              "      <td>0.3385</td>\n",
              "      <td>-0.3500</td>\n",
              "      <td>-0.0309</td>\n",
              "      <td>-0.0409</td>\n",
              "      <td>-0.0735</td>\n",
              "      <td>0.2732</td>\n",
              "      <td>-1.2100</td>\n",
              "      <td>0.0089</td>\n",
              "      <td>0.0317</td>\n",
              "      <td>0.4721</td>\n",
              "      <td>-0.3880</td>\n",
              "      <td>-0.6828</td>\n",
              "      <td>-0.6594</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.3571</td>\n",
              "      <td>-0.1319</td>\n",
              "      <td>0.2187</td>\n",
              "      <td>0.0737</td>\n",
              "      <td>0.6498</td>\n",
              "      <td>-1.4820</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>id_007bfbb91</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-1.3200</td>\n",
              "      <td>-1.7340</td>\n",
              "      <td>-0.0741</td>\n",
              "      <td>1.5440</td>\n",
              "      <td>-1.8290</td>\n",
              "      <td>-0.0951</td>\n",
              "      <td>0.3829</td>\n",
              "      <td>-1.8700</td>\n",
              "      <td>-0.0324</td>\n",
              "      <td>2.7670</td>\n",
              "      <td>-0.0438</td>\n",
              "      <td>-0.0147</td>\n",
              "      <td>0.1276</td>\n",
              "      <td>0.2968</td>\n",
              "      <td>-0.0704</td>\n",
              "      <td>-0.3767</td>\n",
              "      <td>2.5790</td>\n",
              "      <td>0.4069</td>\n",
              "      <td>-0.3868</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>1.8180</td>\n",
              "      <td>-2.9390</td>\n",
              "      <td>-0.1150</td>\n",
              "      <td>-0.8009</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>0.5412</td>\n",
              "      <td>-0.0804</td>\n",
              "      <td>-0.4444</td>\n",
              "      <td>2.9230</td>\n",
              "      <td>2.8270</td>\n",
              "      <td>-0.3437</td>\n",
              "      <td>1.6570</td>\n",
              "      <td>-1.9200</td>\n",
              "      <td>0.3442</td>\n",
              "      <td>1.7160</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4009</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2789</td>\n",
              "      <td>0.4465</td>\n",
              "      <td>0.9492</td>\n",
              "      <td>0.6385</td>\n",
              "      <td>1.5510</td>\n",
              "      <td>-0.1220</td>\n",
              "      <td>0.6688</td>\n",
              "      <td>0.4396</td>\n",
              "      <td>0.6947</td>\n",
              "      <td>0.9761</td>\n",
              "      <td>1.2430</td>\n",
              "      <td>1.4770</td>\n",
              "      <td>-0.0081</td>\n",
              "      <td>1.0040</td>\n",
              "      <td>1.4420</td>\n",
              "      <td>-0.3482</td>\n",
              "      <td>0.3297</td>\n",
              "      <td>1.2070</td>\n",
              "      <td>0.0524</td>\n",
              "      <td>0.5346</td>\n",
              "      <td>0.7643</td>\n",
              "      <td>0.4067</td>\n",
              "      <td>0.3817</td>\n",
              "      <td>0.4566</td>\n",
              "      <td>0.7736</td>\n",
              "      <td>0.5316</td>\n",
              "      <td>0.2790</td>\n",
              "      <td>0.9735</td>\n",
              "      <td>0.7412</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>0.7393</td>\n",
              "      <td>1.1020</td>\n",
              "      <td>0.3786</td>\n",
              "      <td>0.2636</td>\n",
              "      <td>-0.5751</td>\n",
              "      <td>0.3362</td>\n",
              "      <td>0.8543</td>\n",
              "      <td>0.9180</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>23793</th>\n",
              "      <td>id_ffd26f361</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.6008</td>\n",
              "      <td>0.2781</td>\n",
              "      <td>-0.3319</td>\n",
              "      <td>-0.8782</td>\n",
              "      <td>0.9281</td>\n",
              "      <td>0.7535</td>\n",
              "      <td>0.5971</td>\n",
              "      <td>1.6350</td>\n",
              "      <td>-0.3146</td>\n",
              "      <td>0.4984</td>\n",
              "      <td>-1.1890</td>\n",
              "      <td>0.3772</td>\n",
              "      <td>-0.8196</td>\n",
              "      <td>0.1083</td>\n",
              "      <td>-2.0350</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.7586</td>\n",
              "      <td>-0.4024</td>\n",
              "      <td>-0.0449</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.2358</td>\n",
              "      <td>0.7919</td>\n",
              "      <td>-0.8775</td>\n",
              "      <td>0.4232</td>\n",
              "      <td>1.8460</td>\n",
              "      <td>-2.0940</td>\n",
              "      <td>0.1438</td>\n",
              "      <td>-0.6604</td>\n",
              "      <td>0.7243</td>\n",
              "      <td>0.0338</td>\n",
              "      <td>-0.0182</td>\n",
              "      <td>-0.2022</td>\n",
              "      <td>0.8827</td>\n",
              "      <td>0.3147</td>\n",
              "      <td>-0.9263</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1934</td>\n",
              "      <td>1.2240</td>\n",
              "      <td>-0.1178</td>\n",
              "      <td>0.1459</td>\n",
              "      <td>-0.1242</td>\n",
              "      <td>0.3106</td>\n",
              "      <td>-0.7959</td>\n",
              "      <td>0.5681</td>\n",
              "      <td>0.3663</td>\n",
              "      <td>0.4874</td>\n",
              "      <td>-0.0548</td>\n",
              "      <td>0.1810</td>\n",
              "      <td>1.3470</td>\n",
              "      <td>1.6210</td>\n",
              "      <td>-0.8260</td>\n",
              "      <td>0.3377</td>\n",
              "      <td>0.3264</td>\n",
              "      <td>0.9241</td>\n",
              "      <td>0.3012</td>\n",
              "      <td>1.2980</td>\n",
              "      <td>-0.2789</td>\n",
              "      <td>0.7019</td>\n",
              "      <td>-0.3528</td>\n",
              "      <td>0.7383</td>\n",
              "      <td>1.0300</td>\n",
              "      <td>0.6527</td>\n",
              "      <td>1.6750</td>\n",
              "      <td>-0.5046</td>\n",
              "      <td>0.2942</td>\n",
              "      <td>0.2950</td>\n",
              "      <td>1.2470</td>\n",
              "      <td>0.9569</td>\n",
              "      <td>-0.2065</td>\n",
              "      <td>-0.4918</td>\n",
              "      <td>0.7863</td>\n",
              "      <td>0.0504</td>\n",
              "      <td>0.8813</td>\n",
              "      <td>0.7757</td>\n",
              "      <td>-0.5272</td>\n",
              "      <td>0.7082</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23802</th>\n",
              "      <td>id_fff3976bd</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>87d714366</td>\n",
              "      <td>3.2890</td>\n",
              "      <td>2.1270</td>\n",
              "      <td>0.9770</td>\n",
              "      <td>2.0490</td>\n",
              "      <td>2.3170</td>\n",
              "      <td>-0.5355</td>\n",
              "      <td>-0.6357</td>\n",
              "      <td>-6.9060</td>\n",
              "      <td>-4.4830</td>\n",
              "      <td>-2.8400</td>\n",
              "      <td>-5.3310</td>\n",
              "      <td>0.6547</td>\n",
              "      <td>-2.2080</td>\n",
              "      <td>3.6030</td>\n",
              "      <td>0.6380</td>\n",
              "      <td>-2.1280</td>\n",
              "      <td>-3.1680</td>\n",
              "      <td>-4.2180</td>\n",
              "      <td>-0.3170</td>\n",
              "      <td>0.2140</td>\n",
              "      <td>-1.7660</td>\n",
              "      <td>-1.9700</td>\n",
              "      <td>-1.4820</td>\n",
              "      <td>-1.3710</td>\n",
              "      <td>-0.2628</td>\n",
              "      <td>-0.5276</td>\n",
              "      <td>-2.4160</td>\n",
              "      <td>-0.4638</td>\n",
              "      <td>-3.8630</td>\n",
              "      <td>-0.8880</td>\n",
              "      <td>-1.9850</td>\n",
              "      <td>2.0530</td>\n",
              "      <td>-1.4700</td>\n",
              "      <td>-3.3220</td>\n",
              "      <td>1.8800</td>\n",
              "      <td>...</td>\n",
              "      <td>-9.9170</td>\n",
              "      <td>-4.0200</td>\n",
              "      <td>-6.7560</td>\n",
              "      <td>-9.9170</td>\n",
              "      <td>-4.1240</td>\n",
              "      <td>-8.5110</td>\n",
              "      <td>-5.7500</td>\n",
              "      <td>-8.4760</td>\n",
              "      <td>-6.9470</td>\n",
              "      <td>-4.7650</td>\n",
              "      <td>-9.7690</td>\n",
              "      <td>-5.7900</td>\n",
              "      <td>-9.9170</td>\n",
              "      <td>-5.7450</td>\n",
              "      <td>-2.3570</td>\n",
              "      <td>-9.1190</td>\n",
              "      <td>-4.5980</td>\n",
              "      <td>-8.7760</td>\n",
              "      <td>-7.7980</td>\n",
              "      <td>-4.1620</td>\n",
              "      <td>-6.1510</td>\n",
              "      <td>-5.7400</td>\n",
              "      <td>-6.8700</td>\n",
              "      <td>-9.1000</td>\n",
              "      <td>-3.3360</td>\n",
              "      <td>-6.6420</td>\n",
              "      <td>-2.2750</td>\n",
              "      <td>-3.4720</td>\n",
              "      <td>-6.2670</td>\n",
              "      <td>-6.3980</td>\n",
              "      <td>-8.6300</td>\n",
              "      <td>-8.1490</td>\n",
              "      <td>-6.2900</td>\n",
              "      <td>-8.0970</td>\n",
              "      <td>-8.7330</td>\n",
              "      <td>-2.3780</td>\n",
              "      <td>-8.4480</td>\n",
              "      <td>-4.4550</td>\n",
              "      <td>-5.7930</td>\n",
              "      <td>-3.7000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23805</th>\n",
              "      <td>id_fff6df1c5</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>5628cb3ee</td>\n",
              "      <td>1.7380</td>\n",
              "      <td>-1.2900</td>\n",
              "      <td>-0.4533</td>\n",
              "      <td>-1.1640</td>\n",
              "      <td>-0.4841</td>\n",
              "      <td>-0.2392</td>\n",
              "      <td>-0.1774</td>\n",
              "      <td>-1.3980</td>\n",
              "      <td>-0.4059</td>\n",
              "      <td>0.1553</td>\n",
              "      <td>0.1083</td>\n",
              "      <td>-0.8020</td>\n",
              "      <td>-0.5039</td>\n",
              "      <td>-0.7167</td>\n",
              "      <td>-0.5016</td>\n",
              "      <td>-0.9369</td>\n",
              "      <td>-0.5864</td>\n",
              "      <td>-0.1009</td>\n",
              "      <td>0.8987</td>\n",
              "      <td>0.3389</td>\n",
              "      <td>-1.3460</td>\n",
              "      <td>-0.5087</td>\n",
              "      <td>-0.0892</td>\n",
              "      <td>-0.6559</td>\n",
              "      <td>0.0864</td>\n",
              "      <td>-0.6251</td>\n",
              "      <td>0.2471</td>\n",
              "      <td>-0.4523</td>\n",
              "      <td>-0.0389</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>0.0796</td>\n",
              "      <td>-0.2560</td>\n",
              "      <td>-0.7851</td>\n",
              "      <td>-0.1687</td>\n",
              "      <td>-1.2890</td>\n",
              "      <td>...</td>\n",
              "      <td>0.2866</td>\n",
              "      <td>0.3854</td>\n",
              "      <td>-0.4986</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.5843</td>\n",
              "      <td>0.0907</td>\n",
              "      <td>-0.9303</td>\n",
              "      <td>0.1981</td>\n",
              "      <td>0.6515</td>\n",
              "      <td>0.2877</td>\n",
              "      <td>0.4389</td>\n",
              "      <td>-0.3859</td>\n",
              "      <td>0.5203</td>\n",
              "      <td>-1.1070</td>\n",
              "      <td>2.3870</td>\n",
              "      <td>0.1820</td>\n",
              "      <td>-0.6434</td>\n",
              "      <td>-0.9722</td>\n",
              "      <td>-0.4200</td>\n",
              "      <td>-0.5693</td>\n",
              "      <td>1.0700</td>\n",
              "      <td>1.1110</td>\n",
              "      <td>-0.5117</td>\n",
              "      <td>-1.2130</td>\n",
              "      <td>0.3769</td>\n",
              "      <td>0.5296</td>\n",
              "      <td>1.0400</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>1.0150</td>\n",
              "      <td>-0.7669</td>\n",
              "      <td>0.2865</td>\n",
              "      <td>0.5974</td>\n",
              "      <td>-0.2727</td>\n",
              "      <td>0.1188</td>\n",
              "      <td>1.0770</td>\n",
              "      <td>-1.0250</td>\n",
              "      <td>0.1516</td>\n",
              "      <td>0.4503</td>\n",
              "      <td>-0.6312</td>\n",
              "      <td>-0.8302</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>3235 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...    c_96    c_97    c_98    c_99\n",
              "7      id_0020d0484     com_droga     48   D1  ...  0.6633  0.4562 -0.9622  0.0260\n",
              "16     id_002fb9c19     com_droga     48   D1  ... -9.9840 -9.9840 -9.9840 -6.7840\n",
              "25     id_0054388ec  com_controle     48   D1  ...  0.8837  0.5534  0.8976  1.0050\n",
              "38     id_0079af0fb  com_controle     24   D1  ...  0.2187  0.0737  0.6498 -1.4820\n",
              "40     id_007bfbb91  com_controle     24   D2  ... -0.5751  0.3362  0.8543  0.9180\n",
              "...             ...           ...    ...  ...  ...     ...     ...     ...     ...\n",
              "23793  id_ffd26f361  com_controle     48   D2  ...  0.8813  0.7757 -0.5272  0.7082\n",
              "23802  id_fff3976bd     com_droga     24   D1  ... -8.4480 -4.4550 -5.7930 -3.7000\n",
              "23805  id_fff6df1c5     com_droga     48   D2  ...  0.1516  0.4503 -0.6312 -0.8302\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",
              "[3235 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_3dOHD_wAcSb"
      },
      "source": [
        "Essa \"nova\" base de dados filtrada será utilizada para criação do gráfico countplot, sendo passada no parâmetro \"data\"."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aFb5zQhxFMHB"
      },
      "source": [
        "https://seaborn.pydata.org/generated/seaborn.countplot.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 502
        },
        "id": "yvtcAlh7353C",
        "outputId": "f88a1764-eaed-4703-f3b5-e67ea9de919a"
      },
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "plt.figure(figsize = (10,8))\n",
        "ax = sns.countplot(x = 'composto', data = dados.query('composto in @cod_compostos'), order = cod_compostos)\n",
        "plt.show()"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "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": "ynwVk6u3Burz"
      },
      "source": [
        "###Desafio 02: Aumentar as fontes do gráfico do título e legendas, renomear as legendas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 524
        },
        "id": "buzkebsX4pWx",
        "outputId": "9f4530ae-301a-402d-ad17-60bc257617b2"
      },
      "source": [
        "plt.figure(figsize = (10,8)) # Ajustado o tamanho do gráfico\n",
        "ax = sns.countplot(x = 'composto', data = dados.query('composto in @cod_compostos'), palette = \"crest\", order = cod_compostos)\n",
        "ax.set_title('Top 5 Compostos', fontsize=18) # Colocando um título e ajustando a fonte do título\n",
        "ax.set_xlabel('Nome dos Compostos', fontsize = 16) # Coloando a legenda do eixo x e ajustando sua fonte\n",
        "ax.set_ylabel('Contagem dos Elementos', fontsize = 16) # Colocando a legenda do eixo y e ajustando sua fonte\n",
        "plt.show() # Mostra o gráfico sem algumas informações que vem acima dele que não são necessárias"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Lly5Vjx49yj44AABAOSrzU64TJ07U+vXrlZycrKFDh8rHx0effvqppAuF7oUXXsi1fEpKikaNGqWcnBw5nU41adJE48aNkyR5eHho6tSpGjduXK7blgAAAFxJHMaYoi8eu8wV5xq6cStmlUGiK9f4vqO4hg4AgHzY5ho6AAAAFB+FDgAAwOYodAAAADZHoQMAALA5Ch0AAIDNUegAAABsjkIHAABgcxQ6AAAAm6PQAQAA2ByFDgAAwOYodAAAADZHoQMAALA5Ch0AAIDNUegAAABsjkIHAABgcxQ6AAAAm6PQAQAA2ByFDgAAwOYodAAAADZHoQMAALA5Ch0AAIDNUegAAABsjkIHAABgcxQ6AAAAm6PQAQAA2ByFDgAAwOYodAAAADZHoQMAALA5Ch0AAIDNUegAAABsjkIHAABgcxQ6AAAAm6PQAQAA2ByFDgAAwOYodAAAADZHoQMAALA5Ch0AAIDNUegAAABsjkIHAABgcxQ6AAAAm6PQAQAA2ByFDgAAwOYodAAAADZHoQMAALA5Ch0AAIDNUegAAABsrswL3ZQpUxQREaGQkBAdOHDANR4REaEePXrozjvv1J133qn//ve/rrldu3YpMjJS3bt31wMPPKCUlBRLcwAAAFeCMi90Xbt21ZIlSxQUFJRnbubMmVq5cqVWrlyp8PBwSZLT6dSYMWM0duxYrVu3TmFhYZo+fXqRcwAAAFeKMi90YWFhCgwMtLz8nj175OXlpbCwMElSVFSU1q5dW+QcAADAlaJyeQf4q5iYGBlj1LZtW40ePVq1atVSYmKiGjRo4FrGz89PTqdTaWlphc75+PhY3q6/v3epvg5cmoCAmuUdAQAAW6kwhW7JkiUKDAxUdna2Jk2apNjY2DI7fZqSkiGn0xS5HEWjbCQlpZd3BAAAKhwPD0eBB6EqzLtcL56G9fT01KBBg7Rz507XeEJCgmu5kydPysPDQz4+PoXOAQAAXCkqRKE7e/as0tMvHJUxxmjNmjUKDQ2VJLVo0UKZmZnasWOHJGnp0qXq0aNHkXMAAABXijI/5Tpx4kStX79eycnJGjp0qHx8fDR37lyNGjVKOTk5cjqdatKkicaNGydJ8vDw0NSpUzVu3DhlZWUpKChI06ZNK3IOAADgSuEwxhR98dhlrjjX0I1bMasMEl25xvcdxTV0AADkwxbX0AEAAKBkKHQAAAA2R6EDAACwOQodAACAzVHoAAAAbI5CBwAAYHMUOgAAAJuj0AEAANgchQ4AAMDmSlzo0tLStGfPHmVnZ5dmHgAAABSTpUI3Z84cvfbaa67H3377rSIiIjRgwADdfvvtOnz4sLvyAQAAoAiWCt2qVavUqFEj1+Pp06fr+uuv1+zZs+Xv768333zTbQEBAABQuMpWFjpx4oSuvvpqSdLJkyf1ww8/aOHChbrpppt07tw5TZw40a0hAQAAUDBLR+gqVaqkc+fOSbpwutXLy0tt2rSRJPn5+enUqVPuSwgAAIBCWSp0TZs21apVq3TmzBktW7ZM7dq1U5UqVSRJiYmJ8vf3d2tIAAAAFMxSoRs5cqQ+++wzhYWF6euvv9bw4cNdc1u3blWzZs3cFhAAAACFs3QNXXh4uNasWaN9+/YpNDRUV111lWuuXbt2uv76690WEAAAAIWzVOgkqVGjRrne6XpRVFRUqQYCAABA8VgudH/88YcWLFig7du369SpU6pdu7ZuuukmDR06VAEBAe7MCAAAgEJYuobu0KFD6tu3r95//31Vr15dLVu2VPXq1fXee++pb9++3FgYAACgHFk6Qjd9+nR5e3vr448/VsOGDV3j8fHxeuCBBzR9+nS99dZbbgsJAACAglk6Qrdt2zY9/vjjucqcJAUFBWnUqFHatm2bW8IBAACgaJYK3blz51SjRo1852rUqOG66TAAAADKnqVCFxoaqvfff19OpzPXuDFGH3zwAbctAQAAKEeWrqF79NFH9fDDD6tnz57q1auXAgIClJycrLVr1+rIkSN655133J0TAAAABbBU6Dp16qS5c+fqjTfe0Ny5c2WMkcPhUPPmzTV37lzdcsst7s4JAACAAli+D12nTp3UqVMn/fnnnzp9+rRq1aqlatWquTMbAAAALLB0Dd1zzz2no0ePSpKqVaumevXqucpcfHy8nnvuOfclBAAAQKEsFbrly5crNTU137nU1FStWLGiVEMBAADAOkuFrjDJycmqWrVqaWQBAABACRR4Dd2GDRu0YcMG1+NZs2bJ19c31zKZmZn67rvv1Lx5c/clBAAAQKEKLHQJCQnasWOHJMnhcOinn36Sp6dnrmU8PT3VunVrjR492r0pAQAAUKACC92QIUM0ZMgQSVJERITmzJnDDYQBAAAqIEu3Ldm8ebO7cwAAAKCELN+Hzul06ocfflBCQoKys7PzzPft27dUgwEAAMAaS4Xu119/1ciRI/X777/LGJNn3uFwUOgAAADKiaVCN378eJ0/f15vvPGGgoOD87w5AgAAAOXHUqHbu3evXn31Vd1+++3uzgMAAIBisnRjYV9fX1WpUsXdWQAAAFAClgrd/fffryVLlignJ8fdeQAAAFBMlk65njx5UocOHVKvXr3UsWNH1a5dO9e8w+HQ//t//88tAQEAAFA4S4Xu7bffdv39yJEjeeYpdAAAAOXHUqH7+eef3Z0DAAAAJWTpGjoAAABUXJY/KcIYo82bN2vHjh1KS0vTY489pqCgIG3fvl1XX3216tWr586cAAAAKIClQnfq1Ck99NBD2r17t2rUqKGzZ89q8ODBCgoK0scffywfHx+9+OKL7s4KAACAfFg65Tp16lQlJibqww8/1LZt23J9/FeHDh309ddfuy0gAAAACmfpCN2mTZv0zDPPqHXr1nnuRRcYGKjExETLG5wyZYrWrVun+Ph4xcXFKTg4WKmpqXr66af1+++/y9PTU1dffbViY2Pl5+cnSQoJCVFwcLA8PC70z6lTpyokJESStHnzZk2dOlU5OTlq3ry5Jk+erGrVqlnOAwAAYHeWjtCdPXu2wGvksrOzcx2xK0rXrl21ZMkSBQUFucYcDoeGDRumdevWKS4uTo0aNdL06dNzPW/p0qVauXKlVq5c6SpzZ86c0UsvvaS5c+dqw4YNqlGjhubPn285CwAAwOXAUqG75ppr9MUXX+Q7t337dlfBsiIsLEyBgYG5xnx8fHTTTTe5Hrdq1UoJCQlFruvzzz9XixYt1LhxY0lSVFSUPvvsM8tZAAAALgeWTrkOGjRIEyZMUM2aNdW7d29J0unTp7Vs2TItWbJEsbGxpRbI6XTqww8/VERERK7x6Oho5eTkqFOnTho1apQ8PT2VmJioBg0auJZp0KBBsU7/XuTv733JuVF6AgJqlncEAABsxVKhGzhwoI4ePapZs2Zp5syZkqQHHnhAHh4eGjZsmCIjI0st0IQJE1S9enUNHjzYNfaf//xHgYGBysjI0JgxYzR79mw9+eSTpbbNlJQMOZ1FnzamaJSNpKT08o4AAECF4+HhKPAglOX70MXExOiee+7Rl19+qZMnT8rHx0cdO3ZUo0aNSi3olClTdOTIEc2dO9f1BghJrlO03t7eGjBggBYsWOAa37Ztm2u5hISEPKdzAQAALneWC50kBQUF6e9//7tbgsyYMUN79uzRvHnz5Onp6Ro/deqUvLy8VLVqVZ0/f17r1q1TaGioJCk8PFwTJkzQ4cOH1bhxYy1dulQ9e/Z0Sz4AAICKqliFLjExUYmJicrKysozd/PNN1tax8SJE7V+/XolJydr6NCh8vHx0RtvvKF33nlHjRs3VlRUlCSpYcOGmj17tn777TeNHTtWDodD58+fV+vWrfX4449LunDELjY2ViNGjJDT6VRoaKheeOGF4rwkAAAA23MYC/ccOXr0qGJiYvTDDz9Ikus2JQ6HQ8YYORwO/fTTT+5N6kbFuYZu3IpZZZDoyjW+7yiuoQMAIB+XfA3dCy+8oISEBD3//PO69tprVaVKlVINCAAAgJKzVOh+/PFHvfrqq+revbu78wAAAKCYLN1YuH79+hyVAwAAqKAsFboRI0bo3Xff1dmzZ92dBwAAAMVk6ZRr3759dejQIUVERKhVq1aqVatWrnmHw6EpU6a4JSAAAAAKZ6nQ/fvf/9Y777yjSpUqae/evXlOvzocDreEAwAAQNEsFbpZs2bptttu06RJk/IcnQMAAED5snQNXVpamgYNGkSZAwAAqIAsFbo2bdro4MGD7s4CAACAErBU6F544QV9/PHHWrVqlVJTU+V0OvP8AQAAQPmwdA1dr169JEnPPPNMvvMOh0P79u0rvVQAAACwzFKhGzlyJO9kBQAAqKAsFbpRo0a5OwcAAABKyNI1dH915swZxcfH69y5c+7IAwAAgGKyXOi2bNmiu+66S2FhYerWrZsOHDgg6cIbJuLi4twWEAAAAIWzVOg2btyoRx99VL6+voqJiZExxjXXsGFDrVixwm0BAQAAUDhLhe6tt95Sv3799M9//lNDhgzJNXfddde5jtYBAACg7FkqdAcPHnTduuR/3+1au3ZtpaWllX4yAAAAWGKp0Hl7eys1NTXfufj4ePn5+ZVqKAAAAFhnqdB16NBB77zzjk6fPu0aczgcys7O1uLFi9WpUye3BQQAAEDhLN2H7sknn9SAAQPUo0cPde7cWQ6HQ/PmzdP+/fuVnp6u2bNnuzsnAAAACmDpCF3Dhg21fPly3Xrrrfryyy9VqVIl7dixQ61atdInn3yievXquTsnAAAACmDpCJ0k1a9fX6+88oo7swAAAKAEiv1JEQAAAKhYCjxC99xzz1leicPh4OgdAABAOSmw0G3bts3ySv733nQAAAAoOwUWus2bN5dlDgAAAJQQ19ABAADYXIGF7r333lNKSkqusb179yorKyvXWHx8vCZOnOiedAAAAChSgYVu8uTJio+Pdz3OycnR3XffrV9//TXXcsnJyVqyZIn7EgIAAKBQBRY6Y4ylMQAAAJQvrqEDAACwOQodAACAzRW70HHPOQAAgIql0M9ynTVrlnx9fSX93/Vzb775pmrXru1aJjU11Y3xAAAAUJQCC12DBg108ODBPGO//PJLnmUDAwNLPxkAAAAs4ZMiAAAAbI43RQAAANgchQ4AAMDmKHQAAAA2R6EDAACwOQodAACAzVHoAAAAbK7QGwtfdPLkSWVmZqpBgwausaVLl+qXX37RLbfcoi5durgtIAAAAApn6Qjd888/r3nz5rkez549Wy+//LJWr16tRx99VGvWrHFbQAAAABTOUqHbs2ePbr75ZtfjpUuXasSIEdq2bZvuvfdeLViwwG0BAQAAUDhLhe7UqVPy9/eXJB04cEDJycm66667JEldu3bVoUOHLG1sypQpioiIUEhIiA4cOOAaP3TokAYOHKju3btr4MCBOnz48CXPAQAAXCksFTofHx+dOHFCkvTNN9+obt26aty4sSTp/PnzcjqdljbWtWtXLVmyREFBQbnGx40bp0GDBmndunUaNGiQxo4de8lzAAAAVwpLha5Dhw6aNWuWFi9erAULFqhbt26uud9++y1PQStIWFiYAgMDc42lpKRo37596t27tySpd+/e2rdvn06ePFniOQAAgCuJpXe5jhkzRmPGjNFrr72mG264QSNHjnTNxcXFqU2bNiUOkJiYqHr16qlSpUqSpEqVKqlu3bpKTEyUMaZEc35+fsXK4O/vXeL8KH0BATXLOwIAALZiqdDVqVOnwDc+LFy4UJ6enqUaqqylpGTI6TRFLkfRKBtJSenlHQEAgArHw8NR4EEoS4XuImOMfv31V506dUq1a9dW06ZN5e19aUe3AgMDdeLECeXk5KhSpUrKycnRH3/8ocDAQBljSjQHAABwJbH8SRGffPKJbrnlFkVGRio6OlqRkZEKDw/XJ598ckkB/P39FRoaqtWrV0uSVq9erdDQUPn5+ZV4DgAA4EriMMYUea5x1apVevrpp3XzzTcrMjJSderUUXJysuLi4vT1119r2rRprjcnFGbixIlav369kpOT5evrKx8fH3366ac6ePCgnn32WZ0+fVq1atXSlClTdO2110pSieeKozinXMetmFXs9cO68X1HccoVAIB8FHbK1XdxAtEAACAASURBVFKhi4yMVEhIiKZNm5ZnbsyYMTpw4IBWrlx56UnLCYWu4qDQAQCQv8IKnaVTrocOHVJkZGS+c5GRkZZvLAwAAIDSZ6nQ1ahRQ8ePH8937vjx46pRo0aphgIAAIB1lgpdp06d9Prrr2vHjh25xr///nu9+eab6tSpk1vCAQAAoGiWbyy8e/duRUdHq169egoICFBycrKOHz+uq666SmPGjHF3TgAAABTAUqELCAjQihUrtGzZMu3YsUOnTp1SUFCQhg0bpn79+qlatWruzgkAAIACWL6xcLVq1TR48GANHjzYnXkAAABQTJZvLAwAAICKqcAjdBEREXI4HJZXtGnTplIJBAAAgOIpsNC1b98+V6H7+uuvlZycrDZt2rg+KWLnzp0KCAjQ3/72tzIJCwAAgLwKLHSvvvqq6+8fffSRdu/erY0bN6p+/fqu8cTERA0bNkytW7d2b0oAAAAUyNI1dPPnz9eoUaNylTlJCgwM1MiRI/Xuu++6JRwAAACKZqnQHT9+XF5eXvnOeXp66sSJE6UaCgAAANZZKnRNmzbV/PnzlZWVlWs8MzNT8+fPV9OmTd0SDgAAAEWz/EkRDz30kG699VZ17txZ/v7+SklJ0datW5Wens4pVwAAgHJkqdDdfPPNWrFihebMmaMdO3YoKSlJAQEB6tixox555BE1adLE3TkBAABQAMufFNGkSRO99tpr7swCAACAEuCTIgAAAGyOQgcAAGBzFDoAAACbo9ABAADYHIUOAADA5ih0AAAANmf5tiUHDx7U2rVrdfz48TyfGOFwODRlypRSDwcAAICiWSp0K1as0PPPPy+HwyE/Pz9VqVIl17zD4XBLOAAAABTNUqGbM2eOunbtqkmTJqlWrVruzgQAAIBisHQNXVJSkgYNGkSZAwAAqIAsFbo2bdro4MGD7s4CAACAErBU6MaOHauPPvpIq1evVmpqqpxOZ54/AAAAKB+WrqGrX7++mjVrpjFjxuQ773A4tG/fvlINBgAAAGssFboXX3xRn332mbp166Zrr702z7tcAQAAUH4sFbpNmzZpzJgxGjJkiLvzAAAAoJgsXUNXvXp1NW3a1N1ZAAAAUAKWCl2/fv20evVqd2cBAABACVg65dqgQQOtXr1aQ4cOVXh4eL73o7v77rtLPRwAAACKZqnQvfzyy5KkhIQEff3113nmHQ4HhQ4AAKCcWH5TBAAAAComS4UuKCjI3TkAAABQQpYK3UU///yzduzYobS0NA0cOFABAQE6cuSI/P395e3t7a6MAAAAKISlQpedna2YmBht2LBBxhg5HA516dJFAQEBmjZtmho3bqyYmBh3ZwUAAEA+LN225PXXX9fXX3+tqVOn6quvvpIxxjXXqVMnffHFF24LCAAAgMJZOkK3evVqPfHEE+rTp49ycnJyzTVs2FDx8fFuCQcAAICiWTpCl5aWpmuvvTbfOafTqezs7FINBQAAAOssFbqGDRtq165d+c798MMPuuaaa0o1FAAAAKyzVOj69u2refPmadWqVTp//rykCzcT/uabb7Ro0SL179/frSEBAABQMEvX0A0bNkw///yznn76ab344ouSpEGDBikrK0u9evVSdHS0W0MCAACgYJYKXaVKlfT666/r3nvv1X//+1+dPHlSPj4+Cg8PV/v27d2dEQAAAIUo1o2Fw8LCFBYW5q4sAAAAKIFiFTp3OnbsmEaOHOl6nJ6eroyMDG3fvl0RERHy9PSUl5eXJCkmJkbh4eGSpF27dmns2LHKyspSUFCQpk2bJn9//3J5DQAAAOXBUqG7/vrr5XA48p1zOByqWbOmmjVrpgcffFC33HJLiYI0bNhQK1eudD2eNGlSrnvezZw5U8HBwbme43Q6NWbMGE2ePFlhYWGaM2eOpk+frsmTJ5coAwAAgB1Zepfro48+qsDAQPn5+emuu+7S8OHD1bdvX/n5+al+/fqKjIzUyZMnNXz4cG3ZsuWSQ2VnZysuLq7Id8/u2bNHXl5ertPAUVFRWrt27SVvHwAAwE4sHaHz8vJSUFCQ/vGPf7hOe0pSZmamhg8fLj8/Py1fvlwPPfSQ3nnnHXXp0uWSQm3evFn16tVT8+bNXWMxMTEyxqht27YaPXq0atWqpcTERDVo0MC1jJ+fn5xOp9LS0uTj42N5e/7+3peUF6UrIKBmeUcAAMBWLBW6pUuX6sUXX8xV5iSpatWqGjJkiCZMmKBHHnlEAwYM0LPPPnvJoZYtW5br6NySJUsUGBio7OxsTZo0SbGxsZo+ffolb+eilJQMOZ2myOUoGmUjKSm9vCMAAFDheHg4CjwIZemU68mTJ103FP5f586dU1pamiTJ19dXxhRdjApz4sQJffvtt+rTp49rLDAwUJLk6empQYMGaefOna7xhISEXDk9PDyKdXQOAADA7iwVuubNm+utt97SH3/8kWv8xIkTmj17tlq0aCFJSkhIUN26dS8p0PLly9W5c2f5+vpKks6ePav09AtHbIwxWrNmjUJDQyVJLVq0UGZmpnbs2CHpwpHEHj16XNL2AQAA7MbSKdcXXnhB999/v7p166Ybb7xR/v7+SklJ0a5du1StWjVNmzZNknTkyBH17t37kgItX75cL7zwgutxSkqKRo0apZycHDmdTjVp0kTjxo2TJHl4eGjq1KkaN25crtuWAAAAXEkcxuI50tTUVC1YsEC7d+9WUlKSAgIC1KpVK91///2uo2l2VZxr6MatmFUGia5c4/uO4ho6AADyUdg1dJZvLOzr66vRo0eXWigAAACUjgrzSRGAO9WsXVVVPauUd4zLXmb2OaWfyizvGABwxbFc6H755Rd98sknOnTokLKysnLNORwOLVq0qNTDAaWlqmcV3Tub6yvdbcnIMUoXhQ4AypqlQrd7924NHjxYQUFBOnLkiEJCQnT69GklJCSofv36uuqqq9ydEwAAAAWwdNuSGTNm6Pbbb9enn34qY4wmTZqkzZs3a8GCBcrJydEjjzzi7pwAAAAogKVCt3//fkVGRsrhcEiScnJyJEk333yzHnnkEc2YMcN9CQEAAFAoS4Xu3Llzqlatmjw8PFS7dm0lJSW55q655hr98ssvbgsIAACAwlkqdFdffbVOnDghSQoJCdGyZcvkdDrldDr173//W3Xq1HFrSAAAABTMUqHr0qWLtm/fLkl6+OGH9fnnn6tt27Zq166dVq9eraFDh7o1JAAAAApm6V2uo0aNcv29Q4cO+vjjj7Vu3TplZmYqPDxct9xyi9sCAgAAoHAlurFws2bN1KxZs9LOAgAAgBKwdMo1NDRUP/zwQ75ze/bsUWhoaKmGAgAAgHWWCp0xBX9wvdPpdN3OBAAAAGWv0FOuTqfTVeYuvqv1rzIzM/X555/L19fXfQkBAABQqAIL3VtvvaXZs2dLuvBZrffcc0+BKxk0aFDpJwMAAIAlBRa69u3bS7pwunX27Nm6++67Vb9+/VzLeHp6qkmTJurSpYt7UwIAAKBAhRa6i6XO4XBowIABqlevXpkFAwAAgDWWblvy2GOPuTsHAAAASsjyfei2b9+u1atXKzExUVlZWbnmHA6HFi1aVOrhAAAAUDRLhW7p0qV6+eWXVbt2bV1zzTWqUqVKrvnCbmsCAAAA97JU6BYsWKDevXvrlVdekaenp7szAQAAoBgs3Vj4xIkT6t+/P2UOAACgArJU6Jo3b66jR4+6OwsAAABKwFKhe/HFF7Vo0SJ9++237s4DAACAYrJ0Dd3DDz+sjIwM3Xfffapatapq166da97hcGjLli1uCQgAAIDCWSp0N998sxwOh7uzAAAAoAQsFbpXX33V3TkAAABQQpauoQMAAEDFZfmTIvbv36/Zs2dr+/btOn36tGrVqqWbbrpJjz76qEJCQtyZEQAAAIWwVOh++OEHRUdHq2rVqoqIiFCdOnWUnJyszZs3a+vWrVq8eLFatGjh7qwAAADIh6VCN2PGDF133XVauHChvL29XeMZGRkaOnSoZsyYoX/+859uCwkAAICCWbqGbvfu3RoxYkSuMidJ3t7eGj58uL7//nu3hAMAAEDRSuVNEdzSBAAAoPxYKnQ33nij5s6dq4yMjFzjZ8+e1bvvvqtWrVq5JRwAAACKZukautGjRys6OloRERG69dZbFRAQoOTkZG3dulWZmZl677333J0TAAAABbBU6Fq2bKmPPvpIc+bM0RdffKFTp06pdu3a3LYEAACgArB8H7rrr79eM2fOdGcWAAAAlECB19A5nU5t3rxZBw4cKPDJ+/fv1+bNm90SDAAAANYUWOhWrVqlp556StWqVSvwyTVq1NBTTz2l1atXuyUcAAAAilZooevXr58aNWpU4JMbNmyo/v37a/ny5W4JBwAAgKIVWOj27t2rjh07FrmCDh06aM+ePaUaCgAAANYVWOjOnDmjWrVqFbmCWrVq6cyZM6UaCgAAANYVWOh8fX2VkJBQ5AoSExPl6+tbqqEAAABgXYGFrm3btlqxYkWRK1i+fLnatm1bqqEAAABgXYGFbsiQIfr666/1yiuvKDs7O8/8uXPnNGnSJH3zzTe6//773ZkRAAAAhSjwxsKtW7fWM888oylTpiguLk4dO3ZUUFCQJCk+Pl5fffWV0tLS9Mwzz/BZrgAAAOWo0E+KuP/++9W8eXO9++672rhxozIzMyVJVatWVfv27fXQQw8pLCys1MJERETI09NTXl5ekqSYmBiFh4dr165dGjt2rLKyshQUFKRp06bJ399fkgqdAwAAuBIU+dFf7dq1U7t27eR0OpWamipJ8vHxUaVKldwSaObMmQoODnY9djqdGjNmjCZPnqywsDDNmTNH06dP1+TJkwudAwAAuFIUeA1dngU9POTv7y9/f3+3lbn87NmzR15eXq4jgVFRUVq7dm2RcwAAAFeKIo/QlbWYmBgZY9S2bVuNHj1aiYmJatCggWvez89PTqdTaWlphc75+PhY3qa/v3epvgZcmoCAmuUdAZeA/QcAZa9CFbolS5YoMDBQ2dnZmjRpkmJjY3Xbbbe5fbspKRlyOk2Ry/GLqmwkJaWX+jrZd2XHHfsPACB5eDgKPAhl+ZRrWQgMDJQkeXp6atCgQdq5c6cCAwNz3eD45MmT8vDwkI+PT6FzAAAAV4oKU+jOnj2r9PQL/7M3xmjNmjUKDQ1VixYtlJmZqR07dkiSli5dqh49ekhSoXMAAABXigpzyjUlJUWjRo1STk6OnE6nmjRponHjxsnDw0NTp07VuHHjct2aRFKhcwAAAFeKClPoGjVqVOBHjbVp00ZxcXHFngMAALgSVJhTrgAAACgZCh0AAIDNUegAAABsjkIHAABgcxQ6AAAAm6PQAQAA2ByFDgAAwOYodAAAADZHoQMAALA5Ch0AAIDNUegAAABsjkIHAABgcxQ6AAAAm6PQAQAA2ByFDgAAwOYodAAAADZHoQMAALA5Ch0AAIDNUegAAABsjkIHAABgcxQ6AAAAm6PQAQAA2ByFDgAAwOYodAAAADZHoQMAALA5Ch0AAIDNUegAAABsjkIHAABgcxQ6AAAAm6PQAQAA2ByFDgAAwOYodAAAADZHoQMAALA5Ch0AAIDNUegAAABsjkIHAABgcxQ6AAAAm6PQAQAA2ByFDgAAwOYodAAAADZHoQMAALA5Ch0AAIDNUegAAABsjkIHAABgcxQ6AAAAm6PQAQAA2ByFDgAAwOYql3eAi1JTU/X000/r999/l6enp66++mrFxsbKz89PISEhCg4OlofHhf45depUhYSESJI2b96sqVOnKicnR82bN9fkyZNVrVq18nwpAAAAZarCHKFzOBwaNmyY1q1bp7i4ODVq1EjTp093zS9dulQrV67UypUrXWXuzJkzeumllzR37lxt2LBBNWrU0Pz588vrJQAAAJSLClPofHx8dNNNN7ket2rVSgkJCYU+5/PPP1eLFi3UuHFjSVJUVJQ+++wzd8YEAACocCrMKde/cjqd+vDDDxUREeEai46OVk5Ojjp16qRRo0bJ09NTiYmJatCggWuZBg0aKDExsdjb8/f3LpXcKB0BATXLOwIuAfsPAMpehSx0EyZMUPXq1TV48GBJ0n/+8x8FBgYqIyNDY8aM0ezZs/Xkk0+W2vZSUjLkdJoil+MXVdlISkov9XWy78qOO/afdy0vVfPyLPX14v/8mZWtjNNZ5R0DQCE8PBwFHoSqcIVuypQpOnLkiObOnet6E0RgYKAkydvbWwMGDNCCBQtc49u2bXM9NyEhwbUsgMtHNS9PdX5pQnnHuKxtnfCSMkShA+yqwlxDJ0kzZszQnj17NHv2bHl6Xvjf+KlTp5SZmSlJOn/+vNatW6fQ0FBJUnh4uH788UcdPnxY0oU3TvTs2bNcsgMAAJSXCnOE7pdfftE777yjxo0bKyoqSpLUsGFDDRs2TGPHjpXD4dD58+fVunVrPf7445IuHLGLjY3ViBEj5HQ6FRoaqhdeeKE8XwYAAECZqzCF7rrrrtP+/fvznYuLiyvwed26dVO3bt3cFQsAAKDCq1CnXAEAAFB8FDoAAACbo9ABAADYHIUOAADA5irMmyIAAJcnbgztfu66MbR3TS9Vq8q+c7c/M7OVkX5p+49CBwBwq2penmox4qXyjnFZ2/POBLfcGLpaVU+1uuvpUl8vctu1fOolFzpOuQIAANgchQ4AAMDmKHQAAAA2R6EDAACwOQodAACAzVHoAAAAbI5CBwAAYHMUOgAAAJuj0AEAANgchQ4AAMDmKHQAAAA2R6EDAACwOQodAACAzVHoAAAAbI5CBwAAYHMUOgAAAJuj0AEAANgchQ4AAMDmKHQAAAA2R6EDAACwOQodAACAzVHoAAAAbI5CBwAAYHMUOgAAAJuj0AEAANgchQ4AAMDmKHQAAAA2R6EDAACwOQodAACAzVHoAAAAbI5CBwAAYHMUOgAAAJuj0AEAANgchQ4AAMDmKHQAAAA2R6EDAACwOQodAACAzVHoAAAAbI5CBwAAYHMUOgAAAJu7LArdoUOHNHDgQHXv3l0DBw7U4cOHyzsSAABAmbksCt24ceM0aNAgrVu3ToMGDdLYsWPLOxIAAECZqVzeAS5VSkqK9u3bpwULFkiSevfurQkTJujkyZPy8/OztA4PD4fl7flUr1minLCuOPujOOrUrOWW9SI3d+2/+j613bJe/B937TtJauDv47Z14wJ37b8GAb5uWS9ys7L/ClvGYYwxpRmorO3Zs0fPPPOMPv30U9dYr169NG3aNDVv3rwckwEAAJSNy+KUKwAAwJXM9oUuMDBQJ06cUE5OjiQpJydHf/zxhwIDA8s5GQAAQNmwfaHz9/dXaGioVq9eLUlavXq1QkNDLV8/BwAAYHe2v4ZOkg4ePKhnn31Wp0+fVq1atTRlyhRde+215R0LAACgTFwWhQ4AAOBKZvtTrgAAAFc6Ch0AAIDNUegAAABsjkIHAABgcxQ6AAAAm7P9Z7leiUJCQrRz507VqFEj13hqaqqefvpp/f777/L09NTVV1+t2NhY+fn56dixY+rfv7+2bduW7zr/9a9/adGiRfLw8FClSpX0/PPPKywsTJKUlpam2NhY7d27V5UrV1bPnj312GOPSZJ27dqlsWPHKisrS0FBQZo2bZr8/f3d+wUoY1u2bNGbb74pY4yMMXrsscfUrFkzjRw50rVMenq6MjIytH379nzXcXGfpaamFvq8KVOmaN26dYqPj1dcXJyCg4PzrOutt97SrFmzXPNOp1P33HOP/vzzT0lSQECAxo8fr4YNG0oqfP8VNne5+s9//qM333xT58+fV+3atTV58mQ1atRIGzdu1GuvvSYvLy/NmDFDR44cybPfb7/9dknSoUOH9OyzzyotLU0+Pj6aMmWKGjduLEl51jN9+nQdO3ZMHh4eql69ul566SWFhobmu+yTTz7pyvnXfxvHjh0r1r+3y0l+33+33357gT8HC3tOSb+Oa9eu1dtvv+16fPz4cbVr105vvfVWoc/7888/9eKLL2r//v0yxui6667TxIkT5e3trc8//1zTp0+Xw+HQ+fPn1a1bNz3xxBNyONz3ebrlISIiQp6envLy8pIkxcTEKDw8vMCfPYcOHdLYsWOVlJSkypUr64YbbtC4ceNUtWpVSdLcuXO1atUqVa5cWTVq1FBsbKyuu+66Ardf2O++on522o6B7QQHB5uMjIw846mpqeabb75xPX711VfNc889Z4wx5ujRo6Z9+/b5ru/kyZOmdevWJikpyRhjzMaNG03Pnj1d8yNGjDALFixwPf7jjz+MMcbk5OSYbt26mW+//dYYY8zs2bPNs88+e2kvroJxOp0mLCzM7N+/3xhjzE8//WRatWplcnJyci03ceJEM378+ALXU9A++9/nffvttyYhIcF06dLFtc2/2rNnj3nwwQfzzJ8+fdr194ULF5qRI0e6Hhe0/4qauxylpaWZ9u3bm99++80YY8yKFSvMAw88YIwx5sEHHzRr1qwxxhS936Ojo82KFStc64iOjnZt46/rMSb3vtmwYYPp27dvgcv+VWH/por693a5KGw/FPQ9ZfV71piSfx3vvPNO89lnnxW53IIFC8yoUaOM0+k0TqfTjBo1ysybN88YY0xGRoY5f/68McaY7Oxs079/f7Nx48ZiZ6noCvpZVtDPnqNHj5q9e/caYy78jnn88cfNW2+9ZYwxZt++febWW281Z86cMcYYs2jRIjNs2LBCt1/Y7z5jCv/ZaTecci1D33//ve655x5FRkYqMjJSX3zxhaZMmaL+/fsrMjJSQ4YMUXx8vGv5LVu2qF+/foqMjFTfvn31888/u+bmz5+vO++8U927d9e6deskST4+Prrppptcy7Rq1UoJCQm5Mrz66qvq06eP+vTpox07dkiS63+xZ86ckXThf63169eXJB0+fFgHDhzQkCFDXOsICAiQJO3Zs0deXl6uI3lRUVFau3ZtqX29KgoPDw+lp6dLuvC1qVu3rjw8/u9bJzs7W3Fxcerfv79rbP369erRo4fuvPNOzZ49O9/15ve8sLCwAj+2Ljs7W7GxsXr55ZfzzNWsWdP194yMDFe+wvZfYXOXqyNHjqhOnTq65pprJEmdO3fWF198oeeee07fffedpk+frujoaEkF7/eUlBTt27dPvXv3liT17t1b+/bt08mTJ/XKK6/kWc//7puLR2DyW/ai/P5tWJm7HBX2/Zffz8GinnNRfl/Hp556Sv369VOfPn00cuRInTp1Kk+evXv36vjx44qIiJAkJSUlKTo6Wv369dMdd9yhqVOnupZ1OBzKzMzUuXPndO7cOZ09e9b1s7VGjRqqVKmSJCkrK0vnzp3Lk/FyVdjPnoYNG6pZs2aSLuzHli1bun6PORwOnTt3TpmZmZJy/66SLpxpuvj7tX///kpOTnbN5fe7Tyr4Z6ckbd26VVFRUerXr58GDhyoXbt2ueaWL1+uAQMGqF+/frrvvvv022+/lcrX5pKUd6O8UqSmppoOHTqY7777zhhjzPnz501aWppJSUlxLfPxxx+bJ554whhjzG+//WY6dOhgDh06ZIwxJisry6SnpxtjLhztmTVrljHGmIMHD5r27dub5OTkXNvLyckxQ4YMMYsWLTLGXPhfSnBwsFm+fLkxxphvvvnGhIeHm6ysLGOMMatWrTKtW7c2nTt3NuHh4ebw4cPGmAtHFKKiosxzzz1n+vbta4YNG2YOHDhgjDFm7dq1Zvjw4bm227JlS5Oamlo6X7QK4quvvjLt27c3t956q2nXrp35/vvvc81/9tlnJjIy0vU4KSnJtG/f3hw8eNAYY8y8efPyPZrwv8/7q/z+Vzt16lSzePHiAueHDRtmOnToYO644w5z/PhxY0zh+6+wucvV6dOnTfv27c3u3buNMca89957Jjg42OzZs8cMHjzYbN682bVsQfv9xx9/NL169cq13p49e5o9e/YYY0ye9RhjzPPPP286d+5sOnXqlOtrnN+yxhT+b6OwuctRQfuhsJ+DRX3PGpP/1/GvP49nzJhhpk2blud548ePNxMnTnQ9zszMdH1vZ2dnm+joaLN161bX3BNPPGHCwsJMWFiY6+f7RT/88IPp3bu3ueGGG8wrr7xinE5nsb8+FV2XLl1Mnz59TO/evc24cePMqVOnLP/s+fPPP83/b+/e46KqEgCO/wAZFRRQBDWpJW0H8YkgmoIvNAUyJFqDlDZfgW80QcdPi+ZzMBPwlfj6qB813QzdAXJdS0VgXUsTNRctlzJWUoTBF4IyM5z9g8/cGnlo5a6Lnu/nM3/cc+7j3HNm7j1zzrn3BAcHW7Rcbtq0SXTv3l34+/uL4OBgUVpaKoSovqcNGTJEaekrKysTd+/efeC9T4jar50//PCDeP3115X77rfffisGDBgghKjuSXn77beVfWRmZorw8PBHnHO/3NPxd+D/wOnTp+nQoQPe3t4A2NjY4OjoSFZWFq+//jrDhw9n8+bNnD9/HoBjx47Rv39/ZVyOSqWiWbNmyv5GjhwJQPv27enUqZPFPweARYsWYWdnR2RkpBJma2tLSEgIAL1796ZJkyZ89913lJWVsXPnTj755BMyMzPRaDRMnToVIQRVVVWcOXOGsLAw5R/JpEmT/mv59P/GaDSyfv16PvzwQ44cOcK6deuYMWOG0poJkJqaavEv/8yZM3Tq1EmZfi48PLzWfd+/XX1yc3M5d+4co0aNqnOdjRs3kp2dzcsvv6yM96mv/J7Gsm3evDlJSUlotVrCwsLQ6/U4ODgoLSVmD1Puv8SSJUvIzMxk5syZFi04danvu/FLvjcN3YPKobbr4MOWXW35qNPplBa6jIwM5XpsVllZSUZGhsV2JpOJ999/n5CQEMLCwrh48aLSm3Ls2DEAcnJyyMnJwWAwsHnzZmXbrl27kp6eTmZmJv/85z8tWo6eFDt37iQtLY3U1FSEECxck8f/6AAAE45JREFUuPChrj1Go5GZM2fy4osvMnjwYAAKCws5dOgQBw8eJDs7m1dffRWNRgNUj40dMWKE0tJnb2+vjNur695nVtu1Mzs7m4KCAkaPHs2IESOIjY3FaDRSUlLC4cOHuXDhAiNHjmTEiBGsWLGCq1ev/ncz8iHICt1jVFhYiFarZcWKFWRkZLB06VIqKyt/836XLVvGDz/8QHJy8kM14efk5NC8eXOlAhIcHExBQQHXr1+nbdu2tG3bVulWHTp0KMXFxZSWltK2bVuLLt3S0lKsra1xcnL6zefw/+L8+fNcu3YNHx8fAHx8fGjatCn5+fkAFBUVceLECV555ZVftN9fut2JEyfIz89n8ODBBAQEcPXqVcaPH09OTo7FetbW1vzhD39Ap9MBPLD86op7kvXt25ddu3axd+9eIiMjuXv3Ls8995zFOvWVe9u2bSkqKsJkMgHVN/Rr167V2VX+c6GhoXzxxRdcv369znXq+2782u9bQ/Wg39+v3aa2fDx58iS7du1i06ZNpKenM2PGjBrX488++ww3Nzc6duyohG3ZsoVbt26xZ88e0tPTGTJkCPfu3QNg9+7dvPTSSzRu3JjGjRsTHBxc6+D8li1b0r9//ydyyIr5d6FSqRg1ahSnTp164LXHZDIRGxuLo6Mjf/rTn5R9HThwALVajaurK/DT7+lRuP/aCdCvXz90Op3yycnJoVWrVggheO2115TwtLQ0MjMzH0k6fgtZofsf8fLyIj8/n9zcXKD6C3vlyhVsbW1xcXGhqqqK3bt3K+v7+fmRlZXFpUuXgOp/hmVlZUp8amoqUD0WIS8vDy8vLwASExM5d+4ca9euRaVSWaTBYDCQnp4OVF+87t69S/v27XFzcyMvLw+9Xg/A8ePHadasGS1atKBLly7Y2dlx8eJFoLpi4ejoqMTdvXtX+Ve5e/duAgMDH3XWPVZt2rTh6tWryr+5/Px89Hq9UgHYt28fAwYMoEWLFso2Xl5e5OXlKWW3Z8+eGvutbbv6REVFkZOTw+HDhzl8+DBt2rRh8+bN+Pv7U1paalEJO3DgAB4eHgAPLL+64p5kxcXFQHULZWJiIhEREdjZ2VmsU1+5Ozs74+npSUZGBgAZGRl4enrSsmXLGse6c+cOV65cUZYPHz6Mo6NjvX966vtu/NLvTUP3oN9fbdfBB20DtefjrVu3aNasGU5OTlRWVir7/rnaWvVu376Ni4sLjRs3pqioiEOHDilxbm5u5OTkKL0d2dnZyhOZ33//PVVVVQCUl5eTlZVV61PtDVl5ebkyllEIwf79+/H09Kz32lNVVYVGo8HGxoYlS5ZYPPXr5ubGV199RXl5OVA9xs2cnwMHDkSn0ynj5u7cuaNUrOu699V37fTz8yM7O1tJI8DZs2eB6id3dTqd0ipnMpk4d+7cI869X06+tuR/xMnJidWrV5OQkEB5eTnW1tbMmTOHwMBAgoODadGiBQMGDFAqR+7u7ixatIiZM2diMpmwsbEhISFB+bKZTCZCQ0OpqKhg4cKFODs7c/HiRdavX4+7uzsRERFA9Q/APCjfycmJCxcusGnTJqC68qdSqejSpQsTJkwgMjISW1tbVCoVK1eutBi8PXfuXCorK2natClr1qzBysoKKysr3n//febPn2/x2pIniYuLC++99x4xMTEW+WG+Ie/bt493333XYhtnZ2cWLVrExIkTadKkifKqi5+rbTuAxYsXc/DgQUpKShg7dixOTk58+umn9aaxuLiYuXPnYjAYACzKwcrKqs7yM59LXXFPquTkZE6dOoXBYMDPz4/Y2Nga6zyo3N977z00Gg0ffvghDg4OLFu2rNZjVVRUEBMTQ0VFBdbW1jg6OpKSklJvHtf13XhQ3JPoQeVQ23UQqHcbqD0f+/XrR1paGsOGDaNFixb07NmTr7/+Wom/cuUKp06dIjk52WK7N998k5iYGIYPH07r1q3p06ePEjdlyhTmzZunPEDTsWNHpWvx0KFD7Nu3DxsbG6qqqhgyZIjShfyk0Ov1TJs2DZPJRFVVFR06dGD+/Pn1XpeOHj1KWloaarWasLAwALy9vZk/fz5Dhw5VumpVKhUODg5otVqguis1KiqKsWPHYmVlhUqlIiUlBaj73lfftdPd3Z3ly5fz7rvvKg+2eHt7061bN3x9fZkxYwaTJk3CZDJhMBgIDAykS5cu/+sstmAlhBCPNQWSJEmSJEnSbyK7XCVJkiRJkho4WaGTJEmSJElq4GSFTpIkSZIkqYGTFTpJkiRJkqQGTlboJEmSJEmSGjhZoZOkp9jevXvx8PCgZ8+eNeatNBqNeHh4sHr16seUukfniy++wMPD45G9hPRhHT16lOjoaPr06UPnzp3p27cvEydO5LPPPvufpuNxWL16Nf/4xz8edzIk6akhK3SSJHH79m02btz4uJPxRNFqtURFRdG4cWPi4+PZunUr8fHxODg4EBMTo0wP9aRas2YNx48ff9zJkKSnhnyxsCRJ+Pv7s2PHDsaMGUOrVq0ed3IaPJ1Ox9atW5kzZw7jxo2ziAsKCuKPf/wjDg4Ojyl1kiQ9iWQLnSRJytvrzRNT1+fs2bOMGTOGHj164OXlxVtvvaVMiWOm0Wjo378/X3/9NREREXTr1o1hw4Yp8x1u2bKFgIAAvL29mTRpUo35Y80TrJvfvu7v709CQoIylU99SktLmTVrFt7e3vTs2ZPZs2cr0w/9nBCCrVu3MmzYMOUYCxcutJhiD2Dbtm0EBQUpb4gPCwt7YJfphg0bUKvVNSpzZl26dOGZZ55RlrOysggPD6dbt274+PgwefJki8nDoXpGgjfeeIOsrCxGjBhBt27dCA0N5cyZMxiNRhITE/H396dXr15oNBpleiSAy5cv4+Hhwc6dO9FqtfTp04fu3bsTHR3N5cuXLY5jMBhISkoiICCALl26EBAQQFJSkvI2fagun+TkZIYMGULXrl3p3bs3b7zxhjLTjXlGm5SUFDw8PGp03et0OkJCQpRt4+LiuHbtmkU60tPTCQ0NpUePHnh7e/PKK69YTI8oSZIl2UInSRIuLi6MHj2abdu2MW7cONq1a1frehcuXCAyMpIXXngBrVaLlZUVGzZsIDIyko8//thi0vKysjKlhcrV1ZWUlBSmTZvG6NGjuXTpEvPmzaOkpISlS5eyYMECVq5cqWwbFxfHkSNHmDBhAt7e3uTn57Ny5UoKCwsfOKZv6tSpXLhwgXfeeYff/e537N+/n0WLFtVYLykpifXr1zN69GgGDRqkHOPChQvs2LEDa2tr0tLSWLZsGZMnT6Znz57cu3ePb775hhs3btR5/KKiIv71r38RHR39oGwHqitz0dHRvPjiiyQlJVFeXs6qVasYNWoUOp2O1q1bK+sWFBSwfPlyJk6ciJ2dHcuXL2fSpEkEBARgMpnQarXk5+ezfPlyWrZsyezZsy2OtWHDBjw9PdFqtej1epKSkhg/fjwZGRnY2toC1ZXxv/71r0RHR+Pj40Nubi4pKSlcvnyZFStWALBx40a2bdvGjBkz8PT0pKysjHPnzinjMP/85z8THh5OWFgY4eHhQPW8rOa4efPmERwczKxZs7h27RqJiYmcPXuWvXv3Ym9vz8mTJ4mLi+PNN99k9uzZVFVV8d1333Hr1q2HylNJeioJSZKeWqmpqUKtVotLly6J69evCx8fH6HRaIQQQhgMBqFWq8WqVauU9adNmyZ8fHzEzZs3lbDbt28LX19fMWXKFCVszpw5Qq1Wiy+//FIJO3/+vFCr1WLo0KHCaDQq4UuXLhWdOnVSwk6cOCHUarXYt2+fRVp1Op1Qq9UiLy+vzvPJyckRarVaZGRkWISPHz9eqNVqcfz4cSGEENevXxedO3cWc+bMsVjvL3/5i1Cr1eLzzz8XQgixYMECERoaWk8O1nT69GmhVqvFrl27Hmr9V199Vbz00kvCYDAoYQUFBaJTp05i6dKlSlhkZKTo1KmTKCgoUMI+//xzoVarxVtvvWWxzylTpohBgwYpy//+97+FWq0WQUFBwmQyKeEnT54UarVafPzxx0IIIb755psaZS6EEGvXrhVqtVqcP39eCCFEVFSURXnXRq1Wi8TERIswo9Eo+vTpIyIjIy3CzWW+bds2IYQQmzZtEr6+vvXuX5IkS7LLVZIkoHoC67Fjx6LT6Wp095mdOHGCgQMHWoz/atasGQEBAZw4ccJiXTs7O3x9fZXl9u3bA9C3b19sbGwswo1GI8XFxQBkZ2dja2vLsGHDMBqNysff319JQ11yc3OxsbFh6NChFuEvv/yyxfKZM2cwGAyEhITUWK9Ro0bKMbp27cr58+dZtGgRx44do6Kios5j/xrl5eXk5eURFBREo0Y/dZg8++yzeHt71zhXd3d3nn32WWXZnKfmvPl5eFFREeK+qbqHDRuGtfVPl30fHx/atGnD6dOngZ/y9v58MS//PF+OHj1KUlISJ0+epLKy8qHO9/vvv0ev19fYf8+ePWnXrp3F/m/evElsbCxHjhyRLXOS9BBkl6skSYoxY8awY8cOVq1axQcffFAj/ubNm7i4uNQIb9WqVY3XnjRv3txiWaVSAdR4GMDc1WceH6fX6zEYDHh5edWaxvq6O4uLi3FwcFD2aebs7FzrPu4/l0aNGuHk5KScS2hoKPfu3eOTTz7ho48+olGjRgwYMACNRoObm1utaTB3Lf744491ptPs1q1bCCFwdXWtEdeqVSsKCwstwurKO0dHxxrhRqMRk8lkUVGs7YEXZ2dnioqKAJTzvj9fzMvm+OjoaFQqFenp6aSkpGBnZ0dgYCBxcXG0bNmyzvOtK9/NaTPH9+rVi5UrV7Jjxw6mTp0KgK+vLxqNxqJbX5Kkn8gKnSRJCnt7e6Kjo0lISGD8+PE14h0dHSkpKakRXlJSUqNS8Ws5OTnRuHFjdu7cWWt8bZUfMxcXF27duoXBYLCo1On1+hrHgOp0//73v1fCjUYjN27cUM7FysqKiIgIIiIiuHnzJn//+99JSEhg5syZ7Nmzp9Y0tG7dmg4dOnDkyBHeeeedes/VwcEBKysrpXXy50pKSpR0Piq1lZ1er8fT0xP4qWJYUlLCc889p6xjTp853tbWlqioKKKioiguLiYzMxOtVktFRQXJycl1Ht98PnWdb+fOnZXlwMBAAgMDuXPnDl9++SUffPABEyZMICsry6KVUZKkavJXIUmShVGjRtG6detab8y+vr5kZWVZPAlaVlbGkSNH6NWr1yM5fr9+/bh37x5lZWV07dq1xufnDwncr0ePHphMJg4ePGgR/umnn1osd+/eHVtb2xrh+/fvx2g01noujo6OBAcHExQUxMWLF+s9h+joaL799lu2bNlSa3xeXh4//vgjdnZ2dO7cmQMHDmAymZT4wsJCcnNzH1memv3tb3+jqqpKWf7qq6+4evWq0hpq7iK/P1/S09MBak2Pi4sLI0eOpG/fvhb5YmtrW+Op5Oeff55WrVqxf/9+i/BTp05RWFhY6/7t7e0ZNGgQ4eHhFBcX19tCK0lPM9lCJ0mSBZVKxZQpU4iPj68RN3nyZDIzMxkzZgxvv/02VlZWbNy4kYqKCqZMmfJIjt+7d2+GDx/O9OnTGTNmDN26dcPa2prCwkKOHj1KbGwszz//fK3b+vn54ePjw7x587h+/brylOv9FTAnJyfGjRvH+vXradq0KQMGDCA/P5/k5GR8fHwYOHAgAPHx8djb2+Pl5YWzszOXLl1Cp9Ph5+dX7zmMGDGCvLw8EhISyM3NJSgoCBcXF/R6PZmZmaSlpZGamsozzzxDTEwM0dHRREdHM2rUKMrLy1m9ejXNmjVj7NixjyRPze7cucPkyZOJiIigtLSUxMRE3N3dCQ0NBUCtVjN8+HDWrFmDyWSiR48e5Obmsm7dOoYPH668jmTSpEl07NiRzp074+DgQF5eHtnZ2coTrQAvvPACmZmZ9OvXDwcHB1xdXWndujXTp09n3rx5xMbGEhISQlFREcnJybi7u/Paa68BsHLlSvR6Pb1798bV1ZWrV6+yfft2PD096+3SlaSnmazQSZJUQ1hYGJs3b+bSpUsW4R07dmT79u0kJSWh0WgQQtC9e3d27NjxSMc2LV++nO3bt5OamkpKSgoqlYp27drh7+//wBcfr1mzhsWLF7NixQpsbGwICAggPj6+RoVz5syZtGzZkl27drFr1y6cnJwIDQ1l1qxZSpeet7c3e/fuRafTcfv2bVxdXQkJCWH69OkPPIe5c+fSt29fdu7cyYIFC7h9+zaOjo50796d1atXK/nVv39/1q9fz9q1a5kxYwa2trb06tWLuLi4elsjf42oqCgKCgrQaDRUVFTQu3dv4uPjLbqntVotbm5upKamsm7dOlxdXZkwYYIylg2qW/IOHDjARx99REVFBW3btmXChAlMnDhRWSc+Pp4lS5YwceJEKisrmTp1KtOmTSM8PJwmTZqwefNmJk+ejL29Pf379ycuLg47OzugugV1+/btaLVabty4gbOzM35+fsTExDzS/JCkJ4mVuP8xKEmSJOmJcvnyZQYPHszixYsZOXLk406OJEn/BXIMnSRJkiRJUgMnK3SSJEmSJEkNnOxylSRJkiRJauBkC50kSZIkSVIDJyt0kiRJkiRJDZys0EmSJEmSJDVwskInSZIkSZLUwMkKnSRJkiRJUgP3H+2TxGFsdriRAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-qvx1e7JCQQd"
      },
      "source": [
        "###Desafio 03: Plotar os histogramas com Seaborn"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UNE_Sz93FBvG"
      },
      "source": [
        "https://seaborn.pydata.org/generated/seaborn.histplot.html"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G0VmdqW3qMmO"
      },
      "source": [
        "1. Histograma da Expressões Genicas de g_0"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 356
        },
        "id": "MnTXCqUfCRb6",
        "outputId": "1585f951-f026-41ab-b176-0fac97589a81"
      },
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "fig = plt.figure(figsize=(15, 5)) # Tamanho do gráfico\n",
        "\n",
        "ax1 = fig.add_subplot(1, 2, 1)  # Adicionando a posição do primeir gráfico, 1 linha, 1 coluna, 1ª Posição\n",
        "ax2 = fig.add_subplot(1, 2, 2)  # Adicionando a posição do segundo gráfico, 1 linha, 1 coluna, 2ª Posição\n",
        "\n",
        "ax1.set_xlabel('g_0', fontsize=14) # Adicionando a legenda dos eixo x\n",
        "ax1.set_title('Histograma - Expressão Gênica - Sem kde', fontsize=12)  # Adicionando o título do pimeiro gráfico\n",
        "sns.histplot(data = dados['g_0'], ax = ax1, bins=30, color='teal') \n",
        "\n",
        "ax2.set_xlabel('g_0', fontsize=14)  # Adicionando a legenda dos eixo x\n",
        "ax2.set_title('Histograma - Expressão Gênica - Com kde', fontsize=12)  # Adicionando o título do segundo gráfico\n",
        "sns.histplot(data = dados['g_0'], ax = ax2, bins=30, kde = True, color='teal')\n",
        "\n",
        "\n",
        "plt.show()\n"
      ],
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x360 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ga8UtPgxq9jN"
      },
      "source": [
        "2. Histogramas dos valores médios, máximos e míninos de todos os genes (g_0 ao g_771)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T5Mdjv62FwBa",
        "outputId": "e8322d1d-3660-4e46-ffb0-159c86d9e508"
      },
      "source": [
        "media_genes = dados.loc[:, 'g_0':'g_771'].describe().T['mean']  # Calculando o valor médio da expressão gênica de cada gene\n",
        "media_genes"
      ],
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "g_0      0.248366\n",
              "g_1     -0.095684\n",
              "g_2      0.152253\n",
              "g_3      0.081971\n",
              "g_4      0.057347\n",
              "           ...   \n",
              "g_767   -0.076251\n",
              "g_768    0.134162\n",
              "g_769   -0.128018\n",
              "g_770   -0.219210\n",
              "g_771    0.101524\n",
              "Name: mean, Length: 772, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 109
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Rk-pQnLSpeax",
        "outputId": "b64669a5-8085-4f25-f2ab-63823bda8696",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "minimo_genes = dados.loc[:, 'g_0':'g_771'].describe().T['min']  # Calculando o valor mínino da expressão gênica para cada gene\n",
        "minimo_genes"
      ],
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "g_0      -5.513\n",
              "g_1      -5.737\n",
              "g_2      -9.104\n",
              "g_3      -5.998\n",
              "g_4      -6.369\n",
              "          ...  \n",
              "g_767   -10.000\n",
              "g_768    -4.269\n",
              "g_769   -10.000\n",
              "g_770   -10.000\n",
              "g_771   -10.000\n",
              "Name: min, Length: 772, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EkBQ7KODr9ZD",
        "outputId": "759bf5db-7a5a-44c6-936b-124290910943",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "maximo_genes = dados.loc[:, 'g_0':'g_771'].describe().T['max']  # Calculando o valor máximo da expressão gênica para cada gene\n",
        "maximo_genes"
      ],
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "g_0      10.000\n",
              "g_1       5.039\n",
              "g_2       8.257\n",
              "g_3      10.000\n",
              "g_4      10.000\n",
              "          ...  \n",
              "g_767     6.317\n",
              "g_768    10.000\n",
              "g_769     5.911\n",
              "g_770    10.000\n",
              "g_771    10.000\n",
              "Name: max, Length: 772, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sBwAKW-HsrUF"
      },
      "source": [
        "Plotando os histogramas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8_Wo3f21sNF6",
        "outputId": "8ec12142-e9ff-4b08-915c-a1ba7f9fce7a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 339
        }
      },
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "fig = plt.figure(figsize=(20, 5)) # Tamanho do gráfico\n",
        "\n",
        "ax1 = fig.add_subplot(1, 3, 1)  # Adicionando a posição do primeir gráfico, 1 linha, 1 coluna, 1ª Posição\n",
        "ax2 = fig.add_subplot(1, 3, 2)  # Adicionando a posição do segundo gráfico, 1 linha, 1 coluna, 2ª Posição\n",
        "ax3 = fig.add_subplot(1, 3, 3)  # Adicionando a posição do segundo gráfico, 1 linha, 1 coluna, 3ª Posição\n",
        "\n",
        "ax1.set_xlabel('Valores Médios', fontsize=14) # Adicionando a legenda dos eixo x\n",
        "ax1.set_title('Histograma - Valores Médios das Expressões Gênicas', fontsize=14)  # Adicionando o título do pimeiro gráfico\n",
        "sns.histplot(media_genes, ax = ax1, bins=50, color='teal') \n",
        "\n",
        "ax2.set_xlabel('Valores Mínimos', fontsize=14) # Adicionando a legenda dos eixo x\n",
        "ax2.set_title('Histograma - Valores Mínimos das Expressões Gênicas', fontsize=14)  # Adicionando o título do pimeiro gráfico\n",
        "sns.histplot(minimo_genes, ax = ax2, bins=50, color='teal') \n",
        "\n",
        "ax3.set_xlabel('Valores Máximos', fontsize=14) # Adicionando a legenda dos eixo x\n",
        "ax3.set_title('Histograma - Valores Máximos Expressões Gênicas', fontsize=14)  # Adicionando o título do pimeiro gráfico\n",
        "sns.histplot(maximo_genes, ax = ax3, bins=50, color='teal') \n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 121,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ei1AuLi7Czc1N5V/Lli21JoWZM2eKwYMHC6VSqXG9Xbp0EWvWrFFpmzBhghg0aJBK2+LFi4WXl5cQQojk5GTh5OQkzp07J/VnZGSIpk2bqiWFGTNmlLpv8+bNE1988YXKvnbq1EkUFhZKbR9//LHw8/MrNfYXHT58WLi6ukq/yFRUUVGR+OCDD8T8+fOlttWrVwtPT0/pBFXatl9OCqWNsRDP9+/FXyCFEGLixIli8uTJKm2XL18WTk5O4v79++LBgwfCyclJnDx5ssz7V/xBSkpKEq1atRJPnjwRFy5cEB4eHuLp06cqH7Tc3FzRokULcerUKZV1zJo1SwwbNkwIIcTmzZtF69atRU5OjtS/c+dOrUWoBQsWiO7du6u8V9u3bxeurq7i6dOn5d6v69evCycnJ3H69GmpLT09Xe0YfdnL79uIESNUftEvzfbt24WTk5Pa53TAgAEqy82aNUt4e3uL4OBg0a1bN5WxWrx4sWjatKm4deuW1Hbq1Cnh5OQkbty4IYR4/hlp27atSiLeunWr6N69u8pnvbCwULRp00bs3btXCPH8JLdkyRKNsa9bt0706NFDKBQKtb7c3Fzh6uoqnVCL1921a1exYMECIYQQixYtEoMHD1Z53cOHD4WTk5M4f/68EEIId3d38dNPP5U8gC9ISEgQTk5O4uDBgyrtXl5e0rhOmzZNCCHEH3/8Idzc3EReXp7Ksr179xarVq0SQvz/9yY5OVnq37Vrl3B1dZXG7OUvEwMGDBDjxo0rU7xCCJGUlCScnJxEZmamEKL08++rYE5gThDC8DlBCM1FqE8//VRlnV9++aWYMmWK2jZe3Lfx48dLP+fk5AgnJycxc+ZMqY15g3mjNMwbr465hblFCOPILS97+vSpcHFxUfkO8vjxY9GlSxfx3XffiU6dOonIyEiN23xxXw2da4rjcnV1Vfucbdiwocz71qVLF/Hll1+qtE2ZMkX4+/tLP2v6bAwcOFAsXbpUpe3nn38Wbm5uQqlUiosXLwonJyeRnp6uMXZtOeHHH38UHh4e4smTJ1Jb8TFZXFzt3LmzSl4Q4nkhqVevXkIIIQ4cOKC2Dm1CQkKEh4eHSlt8fLzKuBYfM6Ud10KU/3eYGzduCCcnJ6kQVxYvn4vKk+eK6fWZUJ6enpg5c6ZK27Vr1/DNN9+U+JqPP/4YQ4YMQc+ePdGhQwd07twZnTp1gkxW8p2E169fly7TLta6dWssXboUOTk5uH79OmQyGZo3by71Ozg4oE6dOmrrenGZYps2bcLWrVuRkZGB/Px8FBQUwNHRUWWZd999F+bm5tLPdnZ20iWKxWxtbVWm6jx+/DhWrVqF5ORkPHnyBEqlEgUFBbh37x7q1q2rFseKFSuwcuVK6ee9e/eifv36asvJZDL069cPW7duRWBgIMzNzbF9+3b4+flJz2so77ZLG2MrKyuN43fp0iXcvHlTugQfgHRJbWpqKtzd3dGvXz8MHToU7dq1Q7t27dCzZ0+N+/WyJk2aoGnTpoiNjUViYiI++ugjtQeOJyUlIT8/H8OGDZPu5Qag8h4mJyfD2dkZNWvWlPpLmzkmOTkZrVq1UjkuW7dujYKCAty8eRNNmzYt134lJydDJpOhZcuWUpujo6PaMVra+/bZZ58hMDAQly5dQocOHdClSxe0adNG675YWlpi586dKm0v3389ceJE/P7779i5cyc2b96sMlYAULduXZV9Kx6b5ORkNGrUCADwz3/+U2W9ly5dQnp6Ojw8PFTWlZeXJ906MHjwYISFheH333/H+++/j+7du0vHmI+PD3744Qd07doVHTt2hJeXF7p27Qq5XI7U1FQUFBSorNvc3Bxubm7SpcKXLl3C6dOnNb7XqampaNmyJf7973/ju+++w44dO9CuXTv06NEDTZo00TqeL9u4cSOUSiWmTZsmXTp86dIl5OXloV27dirL5ufnq9w2IZfL0bhxY+nnOnXqoKCgAI8ePdJ4f3diYqLWe8UvXbqEpUuX4sqVK3j48KHUnpGRgXr16lXo/FsezAnMCYbOCSV58XYb4PlnrbSptV98Tc2aNWFpaQknJyepzc7ODgCkW8yYN5g3yop5o3yYW5hbjCG3XL9+HVFRUUhISEB2dra0/czMTGmZWrVqYe7cuRg0aBBcXFwwbty4Urdv6FxTrFevXhg9erRK24szzJZl39zc3NR+fvn5gpre2wsXLmDNmjVSm1KpxLNnz3Dv3j00bdoU7du3h6+vLzp27Ih27drBx8dHik1bTij+Dlh8XAHPvwPKZDIkJSWhVq1ayMzMRGhoKKZPny4tU1hYKL2/7du3R/369aW80rFjR3Tv3l1lnaUpnpH10aNH6N+/P4qKiqR913ZcF8++WJ7fYS5fvgyZTIb333+/xHhKOxdVJM/ptQhlaWmJhg0bqrSVdh+wq6srfvnlFxw9ehTHjx/HpEmT0LRpU6xfv14vCe3lk8q+ffswZ84cTJo0Ce7u7rCyssLGjRvVZhapVk11aM3MzFC9enW1tuID59atWxgxYgQ+/fRTjB07FtbW1rh8+TImTJiAgoICjbH5+/ujV69e0s+aklqxfv36ISYmBkePHkWtWrVw/fp1aZaKimy7rF4eP6VSif79++PLL79UW7Y4+YSHh+OLL77AkSNHEB8fj4ULF2LZsmXw8vIqdXuffPIJ/ve//yEtLU3jLCbF4718+XK1k+vL71llKS52VWS/XiyUvaws71vnzp0RHx+PI0eO4MSJExgxYgR8fHwQHh6udZsvf05flp6ejtu3b8PMzAxpaWlo1aqV1uU1qVGjhsrPSqUSTZs2le73flHxrBT9+/eHl5cXDh8+jD/++AP+/v4YMWIExowZAwcHB8TFxeH48eP4448/EBERgWXLlmHLli1a4ygeY6VSic6dO2PSpElqyxSf1MeMGQM/Pz8cOXIER48exbJlyxAWFqbxYZvvvPMOzMzMcP36dZX24mcGvPjZUCqVsLOzw8aNG9XW82LS0nReKX59eT19+hRDhw5F+/btERkZCRsbGzx48ACff/65dPzo+vzLnMCcYOicUBJN75d44RkkZX3Ni23l+bwyb2jGvMG8URbMLcwtxpBbRo4ciebNm+PHH39E3bp1YW5ujlatWqnt66lTp2Bubo6srCzk5OTgrbfe0rptY8k1tWrVKvW8X95900TTezt69GiNM5Xa2NjA3Nwc69atQ0JCAo4dO4Zt27ZhwYIF2LBhA5o2bao1J2hjZmYmjen06dNLvEDBysoKO3bswKlTp/DHH39g5cqVWLBgAbZt26ax0PqPf/wDOTk5uHv3rvTZqlGjBho2bKg222lZjmugYr/DlKQs56Ly5LliRvdgck2srKzg4+OD6dOnY9WqVThx4gRu3rwJAKhevbpUHSzWuHFjnD17VqXtzJkzqFevHqysrNC4cWMolUpcunRJ6r99+zbu3r1baixnzpxBq1atEBAQAFdXVzRs2BCpqamvvI8XL15EQUEBJk+eDHd3d/zjH/8oNR5ra2s0bNhQ+qetiOLo6Ij27dtj27Zt2LZtG1xdXaVpaSuy7dLGuCTNmjVDUlKSStzF/16cUaFp06YYPnw4/vvf/6JNmzZqf2EtSa9evZCSkoJ69epp/AW3SZMmkMvlyMjIUNt+cUW3SZMm+Pvvv/H06VPpdQkJCVq326RJE5w/f17lhH/mzBlUr14d77zzTrn3q/gYffGB6BkZGSrvS1nfNxsbG/Tt2xdz587F7NmzsWPHDpWH95VXQUEBgoKC4O3tjW+//RbTp09HRkaGyjJ37txR+UvPhQsXoFQqtVbFXV1dkZqairfeekvtvXnxr7X16tXDgAEDEB0djbFjx+LHH3+U+iwsLPDBBx9gypQp2LZtG65du4azZ8/inXfeQfXq1VWO2aKiIiQkJEgxubq6IikpCfXr11fb/ovHdKNGjTB48GCsWrUKn3zyicYH/wLAW2+9hQ4dOmDDhg1qU2pr2vf79+9DJpOpbbv4i0xFuLi4qE3tWuz69et48OCB9EDfJk2aaJzaW9v511CYEzRjTlBXWk4wJOYN5o2XMW8YFnOLZswt6krLLdnZ2UhJScGAAQPQoEEDyOVy/PXXX2oFqPPnz2P58uVYunQp6tSpg2nTppVp++VR2bmmrMqyb+fPn1f7+cUrNzVp1qwZrl+/rvG9LT42zczM4O7ujtGjR2P79u2oU6cO9u3bJ62jpJxQ/B3wxQd9nzt3TspFdnZ2qFOnDlJTUzVuv1i1atXQrl07/N///R92796NvLw8/Pbbbxr3p2fPnqhevbraBAIl7XtZjuvycHFxgVKpLPFB4mU9F5U1zxUz+iLU+vXrERsbi+TkZNy8eRN79uyBlZUV6tWrB+D5ye7MmTO4c+eOlAiHDBmCU6dOYcmSJbhx4wZ2796NdevWSVNkNm7cGB07dkRoaCgSEhKQmJiIyZMn44033tD6F0Tg+QBfunQJhw8fRkpKCpYtW4ZTp0698n42bNgQSqUS//nPf5CWlobY2Fj85z//eeX1vuiTTz7Br7/+iv3796tUJiuy7dLGuCRfffUVLly4gJCQEFy+fBk3b97Er7/+ipCQEABAWloaoqKicPbsWdy6dQsnTpzA1atXy3zpupWVFY4cOaLyC+bL/UOGDEFkZCS2bduGmzdvIjExEZs2bZJe4+vrC3Nzc0yZMgXXrl3DsWPHsGLFCq3bHThwIO7evYuwsDAkJyfjt99+w/z58xEQEABLS8ty71fjxo2lGQ/OnTuHxMREBAcHq5xgyvK+RUdH49ChQ0hJSUFycjIOHjwoJcOSCCFw7949tX/Fv3xFR0cjOzsbYWFh+OKLL9CyZUtMmjRJJbm98cYbmDRpEhITE3Hu3DmEhYXhgw8+kG6p0MTPzw+2trYYNWoU/vzzT6SlpeHUqVOYO3euNNPRrFmzcOTIEaSlpSExMRG///473n33XQDPZ/jZunUrrl69irS0NPz000+oXr06GjZsiBo1auCzzz5DVFQUDh8+jOTkZISFhSErKwsDBw6U3sMnT55g/PjxOH/+PNLS0vDHH39g2rRpyMnJwbNnzzB9+nScPHkS6enpOH/+PM6ePav12AwLC4MQAv369UNsbCySkpJw48YNxMbG4sqVK9JfV9u3bw8PDw+MGjUKhw8fRlpaGs6dO4fFixerzcRUHiNHjkRcXBwWLlyIpKQkXLt2Dd9//z3y8vJQv359yOVybNy4EWlpafjtt98QHR2t8vrSzr+GwJxQeZgTDIt5g3lDE+YNw2BuqTzMLc8LdzY2Nti4cSNSUlJw4sQJzJgxQ6WAl5ubi4kTJ8Lf3x/e3t6YP38+jh07hq1bt5YphrKq7FxTLC8vT+2cX3yLbln3LSEhAStXrkRKSgq2bNmCnTt3arzK50XffPMNYmNjER0djb///hvJycmIi4tDZGSktM6YmBhcuHABGRkZ+OWXX5CZmSntj7ac4OfnJ+Wiq1ev4tSpUwgJCUGPHj2kItPYsWOxZs0afP/997h+/Tr+/vtv7Ny5U7pl9ddff8V//vMfXL58Gbdu3UJsbCxyc3NLHE8HBwdMnjwZGzZsQFBQEI4fP4709HRcvnxZmpm2+Jbb0o7rivjHP/6BXr164bvvvsOBAweQlpaG06dPS0XI0s5FFclzgJ5vx6uImjVrYu3atUhJSYGZmRmaNWuG1atXS5fmjR07FiEhIejWrRsUCgWuXr0KV1dXREdHY8mSJVi5ciVsbW0xfPhwBAQESOudO3cupk2bhkGDBsHW1hZjx45FWlqa1l+yAGDAgAFITExEUFAQhBDo0aMH/v3vf+Onn356pf1s2rQppk6ditWrV2PRokVwd3fHt99+i/Hjx7/Sel/UrVs3WFlZIS8vD35+fq+07bKMcUn7uWHDBixatAgBAQFQKpVo0KABunXrBuD5JZcpKSkIDAzEgwcPYGdnBz8/P3z11Vdl3s+X74V/2bhx42BnZ4d169YhLCwMVlZWcHFxkRJazZo1sXLlSoSFheHjjz9G48aNERQUhJEjR5a4zrp162L16tWIjIxEnz598Oabb8LX1xcTJkyo8H7NnTsX3333Hb744gu89dZbGD16tMpfHMvyvsnlcjGdlRsAACAASURBVCxcuBDp6emwsLBAq1atSi2o5eXloWPHjmrtBw8exJ07d7B+/XqsW7cOb775phRn7969sXr1ammac0dHR3z00Uf4+uuv8eDBA3To0AGzZ8/Wul1LS0ts3LgR8+fPR2BgIJ48eYI6deqgbdu20raEEJg1axYyMzNRs2ZNtGvXDsHBwQCAN998E6tXr0ZERAQKCwvRpEkTLFmyRLqNYeLEiQCAyZMn4/Hjx9K5pPjS17p162LTpk1YsGABhg0bhvz8fDg4OKBjx47SeeHx48eYPHky7t69C2tra3Tp0kXjbRjFGjRogB07dmDlypWIjo5GZmYmqlevjsaNG2PgwIH4/PPPATz/i82qVauwaNEiTJs2DdnZ2bC1tYWHhwf69u2rddy06dy5M5YuXYply5Zh7dq1qFmzJtzd3fHZZ5/BxsYGERERWLBgATZu3AhnZ2cEBwer/GJX2vnXEJgTmBMqOycYCvMG84YmzBuGwdzC3FKZuUUmkyE6OhozZ86En58fGjZsiODgYJVbvmbPno3q1atL55lGjRphypQpmDNnDtq0aVPqrW5lpYtcAzwv4r98PHp4eGDTpk1l3rd///vfuHr1KlasWAFLS0uMHTtW4212L/Ly8sLKlSsRExODdevWwdzcHI0aNZKeZVerVi2cPXsWGzZswOPHj+Hg4IBRo0ahT58+ALTnBEtLS6xduxZz5sxB//79YWFhga5du2Lq1KnS9vv37y8tN3/+fLzxxht49913pWOyVq1aOHToEGJiYpCXl4d33nkHs2bNgqenZ4n79Pnnn6NJkyZYv349xo0bh5ycHNSuXRutWrXC8uXLpdeWdlxXVGRkJBYtWoRZs2bhwYMHqFevnlQMLO1cJJPJyp3nAMBMVPQGwSomOzsbnTp1wvz589GzZ09Dh0NkspYsWYIDBw4gNjbW0KEQVRhzApH+MG/Q64K5heg5b29vfP755xg6dKihQyEDMPoroXTl+PHjyM3NhbOzM7KysrBw4UJYW1uX6WF0RERUtTAnEBFRZWNuISJS99oWoQoLCxEdHY20tDS88cYbcHNzw8aNG9VmXiEioqqPOYGIiCobcwsRkTrejkdERERERERERDpn9LPjERERERERERGR6WMRioiIiIiIjMrSpUvh7OyMv//+G8Dzqdd79+6Nnj17YsiQIcjKypKW1dZHRETGhUUoIiIiIiIyGpcuXUJCQgIcHR0BAEqlEhMnTkRISAgOHDgAT09PREVFldpHRETGp0o8mPzBg1wolbp7tJWtrRWysnJ0tv7KxFh1w1RiNZU4AcaqK8WxymRmeOutmoYOx2hUNE+Y0nuvbxwb7Tg+JePYaKev8THWPKFQKDBjxgzMnz8fgwcPBgBcvHgRFhYW8PT0BAD4+/uja9euCA8P19pXVrr6LmEqx7opxGkKMQKmEacpxAiYRpymECNQ8Th1lSeqRBFKqRQ6LUIVb8NUMFbdMJVYTSVOgLHqiinFqi+vkic4niXj2GjH8SkZx0a713l8oqOj0bt3b7z99ttSW2ZmJurXry/9bGNjA6VSiYcPH2rts7a2LtM2dVmMs7W10tm6K5MpxGkKMQKmEacpxAiYRpymECNgXHFWiSIUERERERGZtnPnzuHixYsICgrS63azsnJ0Uvizt6+Fe/eeVPp6K5spxGkKMQKmEacpxAiYRpymECNQ8ThlMjOdFK9YhCIiIiIiIoM7deoUkpOT0bVrVwDA7du3MXToUAwaNAgZGRnSctnZ2ZDJZLC2toaDg0OJfUREZHz4YHIiIiIiIjK44cOH4+jRo4iPj0d8fDzq1auHtWvXYtiwYXj27BlOnz4NANi8eTN8fHwAAM2bNy+xj4iIjA+vhCIiIiIiIqMlk8kQGRmJ0NBQ5Ofnw9HREfPmzSu1j4iIjA+LUEREpHdLly7FkiVLsGfPHjg5OSEhIQEhISEqXyBsbW0BQGsfERFVXfHx8dL/PTw8sGfPHo3LaesjIiLjwtvxiIhIry5duoSEhAQ4OjoCAJRKJSZOnIiQkBAcOHAAnp6eiIqKKrWPiIiIiIhMC4tQRESkNwqFAjNmzEBYWJjUdvHiRVhYWMDT0xMA4O/vj7i4uFL7iIiIiIjItLAIRUREehMdHY3evXvj7bffltoyMzNRv3596WcbGxsolUo8fPhQax8REREREZkWPhOKiIj04ty5c7h48SKCgoL0vm1bW6sKv9bevlYlRlK1cGy04/iUjGOjHceHiIiqKhah6LWSJyvCI0W+WnttuQUsleYGiIjo9XHq1CkkJyeja9euAIDbt29j6NChGDRoEDIyMqTlsrOzIZPJYG1tDQcHhxL7yiMrKwdKpSh3zKKGDHce56i08XzxnL19Ldy798TQYRgtjk/JODba6Wt8ZDKzVyrQExGRcSnpu67IlcHMAPGUhEUoeq08UuRjZGysWvtyX19YVqthgIiIXh/Dhw/H8OHDpZ+9vb2xYsUKvPvuu9iyZQtOnz4NT09PbN68GT4+PgCA5s2b49mzZxr79OFBXp7aOYPnCyIiIiIyNiV91137cR/YwMIAEWmmtyKUt7c35HI5LCye73xQUBC8vLw49TYR0WtOJpMhMjISoaGhKrmgtD4iIiIiIjIter0SavHixXBycpJ+Lp56Ozw8HJ6enoiJiUFUVBTCw8P1GRYRERlAfHy89H8PDw/s2bNH43La+oiIiIiIyHQYdHY8Tr1NRERERERERPR60OuVUEFBQRBCoHXr1pgwYYLWqbfL+9BZIiIiIiIiIiIyXnorQm3cuBEODg5QKBSYPXs2ZsyYge7du1fKuvUxs4cpTZXLWEuWfT8f1eXqh728ujns7bTHYirjaipxAoxVV0wpViIiIiIien3orQjl4OAAAJDL5Rg4cCBGjhyJwYMHG3Tq7bIypamEGat2isIiFCgK1dsLirTGYirjaipxAoxVV4pj5dTbRERERERkbPTyTKinT5/iyZPnX+CEENi3bx9cXFxUpt4GoPept4mIiIiIiIiISD/0ciVUVlYWxowZg6KiIiiVSjRp0gShoaGcepuIiIiIiIiI6DWhlyJUgwYNsHPnTo19nHqbiIiIiIiIiKjq08vteERERERERERE9HpjEYqIiIiIiIiIiHSORSgiIiIiIiIiItI5FqGIiIiIiIiIiEjnWIQiIiIiIiIiIiKdYxGKiIiIiIiIiIh0jkUoIiIiIiIiIiLSORahiIiIiIiIiIhI51iEIiIiIiIiIiIinatm6ACIiIiIiIgAYNSoUUhPT4dMJkONGjUwbdo0uLi4wNvbG3K5HBYWFgCAoKAgeHl5AQASEhIQEhKC/Px8ODo6Yt68ebC1tTXkbhARUQlYhCLSIk9WhEeKfGTfz4eisEhqry23gKXS3ICREREREVU9ERERqFWrFgDg0KFDmDJlCnbs2AEAWLx4MZycnFSWVyqVmDhxIsLDw+Hp6YmYmBhERUUhPDxc77ETEVHpWIQi0uKRIh8jY2NRXV4NBYpCqX25ry8sq9UwYGREREREVU9xAQoAcnJyYGZmpnX5ixcvwsLCAp6engAAf39/dO3alUUoIiIjxSIUEREREREZjalTp+LYsWMQQmDNmjVSe1BQEIQQaN26NSZMmIA333wTmZmZqF+/vrSMjY0NlEolHj58CGtra0OET0REWrAIRURERERERmP27NkAgJ07dyIyMhKrV6/Gxo0b4eDgAIVCgdmzZ2PGjBmIioqqlO3Z2lpVyno0sbevVfpCRsAU4jSFGAHTiNMUYgRMI05jijH7fj6qyzWXeIwpThahiIiIiIjI6PTt2xchISF48OABHBwcAAByuRwDBw7EyJEjAQAODg7IyMiQXpOdnQ2ZTFauq6CysnKgVIrKDR7Pv/Tdu/ek0tdb2UwhTlOIETCNOE0hRsA04jS2GBWFRSqPkHlRReKUycx0UqSXVfoaiYiIiIiIyik3NxeZmZnSz/Hx8ahduzYsLCzw5MnzL1BCCOzbtw8uLi4AgObNm+PZs2c4ffo0AGDz5s3w8fHRf/BERFQmvBKKiIiIiIgMLi8vD4GBgcjLy4NMJkPt2rWxYsUKZGVlYcyYMSgqKoJSqUSTJk0QGhoKAJDJZIiMjERoaCjy8/Ph6OiIefPmGXhPiIioJCxCERGR3owaNQrp6emQyWSoUaMGpk2bBhcXF3h7e0Mul8PCwgLA84fPenl5AQASEhIQEhKi8uXC1tbWkLtBREQ6YGdnhy1btmjs27lzZ4mv8/DwwJ49e3QVFhERVSIWoYiISG8iIiKk6bcPHTqEKVOmYMeOHQCAxYsXw8nJSWV5pVKJiRMnIjw8HJ6enoiJiUFUVBSn3iYiIiIiMkF8JhQREelNcQEKAHJycmBmZqZ1+YsXL8LCwgKenp4AAH9/f8TFxek0RiIiIiIi0g1eCUUEQF7NHLcLn6q1K1H5M6UQve6mTp2KY8eOQQiBNWvWSO1BQUEQQqB169aYMGEC3nzzTWRmZqJ+/frSMjY2NlAqlXj48GG5Zj4iIiIiIiLDYxGKCEBOgQKBe/ertUd/1MsA0RBVbbNnzwbw/PkekZGRWL16NTZu3AgHBwcoFArMnj0bM2bMQFRUVKVts6LTy2bfz0d1uWqqlFc3h71drRJe8Xqxt+c4aMPxKRnHRjuODxERVVUsQhERkUH07dsXISEhePDgARwcHAAAcrkcAwcOxMiRIwEADg4OyMjIkF6TnZ0NmUxW7qugsrJyoFRW4MpGM6BAUajSpCgowr17T8q/rirG3r4Wx0ELjk/JODba6Wt8ZDKzChfoiYiIKorPhCIiIr3Izc1FZmam9HN8fDxq164NCwsLPHny/AuXEAL79u2Di4sLAKB58+Z49uwZTp8+DQDYvHkzfHx89B88ERERERG9Ml4JRUREepGXl4fAwEDk5eVBJpOhdu3aWLFiBbKysjBmzBgUFRVBqVSiSZMmCA0NBQDIZDJERkYiNDQU+fn5cHR0xLx58wy8J0REREREVBEsQhERkV7Y2dlhy5YtGvt27txZ4us8PDywZ88eXYVFRERERER6wtvxiIiIiIiIiIhI51iEIiIiIiIiIiIinWMRioiIiIiIiIiIdI5FKCIiIiIiIiIi0jkWoYiIiIiIiIiISOdYhCIiIiIiIiIiIp1jEYqIiIiIiIiIiHSORSgiIiIiIiIiItI5FqGIiIiIiIiIiEjnqhk6AKJXkScrwiNFvlq7lYUcOfkKtXYlhD7CIiIiIiIiIqKXsAhFJu2RIh8jY2PV2qM/6oXAvfs1thMRERERERGR/vF2PCIiIiIiIiIi0jkWoYiIiIiIiIiISOdYhCIiIiIiIiIiIp3jM6HIJJT0AHI+aJyIiIiIiIjINOi9CLV06VIsWbIEe/bsgZOTExISEhASEoL8/Hw4Ojpi3rx5sLW11XdYZOS0PYCciIiIiIiIiIyfXm/Hu3TpEhISEuDo6AgAUCqVmDhxIkJCQnDgwAF4enoiKipKnyEREREREREREZEe6K0IpVAoMGPGDISFhUltFy9ehIWFBTw9PQEA/v7+iIuL01dIRERERERkREaNGoXevXujb9++GDhwIBITEwEAN27cwIABA9CzZ08MGDAAKSkp0mu09RERkXHRWxEqOjoavXv3xttvvy21ZWZmon79+tLPNjY2UCqVePjwob7CIiIiIiIiIxEREYHdu3dj586dGDJkCKZMmQIACA0NxcCBA3HgwAEMHDgQISEh0mu09RERkXHRyzOhzp07h4sXLyIoKEgn67e1tdLJel9kb19L59uoLFUx1uz7+aguVz9czczM9Nb+Yr+8ujns7YxznKvi+28MGCsREZHu1ar1/3NYTk4OzMzMkJWVhcuXL2P9+vUAAF9fX8ycORPZ2dkQQpTYZ2NjY5B9ICKikumlCHXq1CkkJyeja9euAIDbt29j6NChGDRoEDIyMqTlsrOzIZPJYG1tXa71Z2XlQKnU3Sxp9va1cO/eE52tvzJV1VgVhUUoUBSqtQsh9NJeXV5NpV9RUGSU41xV339DM8VYZTIzvRToiYiIKtvUqVNx7NgxCCGwZs0aZGZmom7dujA3NwcAmJubo06dOsjMzIQQosQ+FqGIiIyPXopQw4cPx/Dhw6Wfvb29sWLFCrz77rvYsmULTp8+DU9PT2zevBk+Pj76CImIiIiIiIzQ7NmzAQA7d+5EZGQkAgMDdbo9Xf7RxlSuTjaFOE0hRsA04jSFGAHTiNOYYizp7iHAuOLUSxGqJDKZDJGRkQgNDUV+fj4cHR0xb948Q4ZERERERERGoG/fvggJCUG9evVw584dFBUVwdzcHEVFRbh79y4cHBwghCixr6x0dVeFqVxJbQpxmkKMgGnEaQoxAqYRp7HFWNLdQwAqFKeu7qwwSBEqPj5e+r+Hhwf27NljiDCIiEjPRo0ahfT0dMhkMtSoUQPTpk2Di4sLbty4geDgYDx8+BDW1taIiIhAo0aNAEBrHxERVR25ubl4/PixVECKj49H7dq1YWtrCxcXF8TGxqJPnz6IjY2Fi4uLdLudtj4iIjIuBr0Siuh1kScrwiNFvlp7bbkFLJXmBoiIyDAiIiKkh84eOnQIU6ZMwY4dO6SZjfr06YNdu3YhJCQEP/zwAwBo7SMioqojLy8PgYGByMvLg0wmQ+3atbFixQqYmZkhLCwMwcHBiImJwZtvvomIiAjpddr6iIjIuLAIRaQHjxT5GBkbq9a+3NcXltVqGCAiIsPgrEdERFQSOzs7bNmyRWNfkyZNsHXr1nL3ERGRcWERioiI9IqzHhERERERvZ5YhCIiIr3S96xHQMVnPtI0y4i8ujns7YxnhhFDMqaZVowRx6dkHBvtOD5ERFRVsQhFREQGoa9Zj4BXmPnIDGqzjCgKioxqJhRDMbYZYYwNx6dkHBvt9DU+upr1iIiISBuZoQMgIqLXQ25uLjIzM6WfNc16BEBlZiNtfUREREREZFp4JRQREekFZz0iIiIiInq9sQhFRER6wVmPiIiIiIheb7wdj4iIiIiIiIiIdI5FKCIiIiIiIiIi0jkWoYiIiIiIiIiISOf4TCiiCpBXM8ftwqdq7VYWcuTkK9TalajA1PBEREREREREVQiLUEQVkFOgQODe/Wrt0R/1KrGdiIiIiIiI6HXG2/GIiIiIiIiIiEjnWIQiIiIiIiIiIiKdYxGKiIiIiIiIiIh0jkUoIiIiIiIiIiLSORahiIiIiIiIiIhI51iEIiIiIiIiIiIinWMRioiIiIiIiIiIdI5FKCIiIiIiIiIi0jkWoYiIiIiIiIiISOdYhCIiIiIiIiIiIp1jEYqIiIiIiIiIiHSORSgiIiIiIiIiItI5FqGIiIiIiIiIiEjnqhk6ACJSlycrwiNFvlp7bbkFLJXmBoiIiIiISLcePHiAb7/9FqmpqZDL5WjYsCFmzJgBGxsbODs7w8nJCTLZ87+hR0ZGwtnZGQAQHx+PyMhIFBUVwdXVFeHh4bC0tDTkrhARUQlYhCIyQo8U+RgZG6vWvtzXF5bVahggIiIiIiLdMjMzw7Bhw9C2bVsAQEREBKKiojBnzhwAwObNm1GzZk2V1+Tm5mLatGnYuHEjGjVqhKlTp2Lt2rUYPXq03uMnIqLS8XY8IiIiIiIyOGtra6kABQBubm7IyMjQ+pojR46gefPmaNSoEQDA398f+/fv12WYRET0CnglFBERERERGRWlUolNmzbB29tbahs0aBCKiorQqVMnjBkzBnK5HJmZmahfv760TP369ZGZmWmIkImIqAxYhCIiIiIiIqMyc+ZM1KhRAwEBAQCA3377DQ4ODsjJycHEiROxbNkyjB8/vlK2ZWtrVSnr0cTevpbO1l2ZTCFOU4gRMI04TSFGwDTiNKYYs+/no7pcc4nHmOJkEYqIiIiIiIxGREQEbt68iRUrVkgPIndwcAAAWFlZoX///li/fr3UfvLkSem1GRkZ0rJllZWVA6VSVFL0/5+9fS3cu/ek0tdb2UwhTlOIETCNOE0hRsA04jS2GBWFRShQFGrsq0icMpmZTor0fCYUERHpxYMHD/DVV1+hZ8+e8PPzw+jRo5GdnQ0AcHZ2hp+fH/r06YM+ffrg6tWr0uvi4+Ph4+OD7t27Y9y4ccjLyzPULhARkY4tWLAAFy9exLJlyyCXywEAjx49wrNnzwAAhYWFOHDgAFxcXAAAXl5e+Ouvv5CSkgLg+cPLe/XqZZDYiYiodLwSioiI9IKzHhERkTbXrl3DypUr0ahRI/j7+wMA3n77bQwbNgwhISEwMzNDYWEh3N3dERgYCOD5lVEzZszAiBEjoFQq4eLigqlTpxpyN4iISAsWoYiISC80zXq0adMmra/RNOtRcHAwi1BERFXQP//5T5UrYV+0Z8+eEl/XrVs3dOvWTVdhERFRJWIRioiI9I6zHhERERERvX5YhCKqAvJkRXikyEf2/XwoCouk9tpyC1gqzQ0YGZFm+pz1CKj4zEeaZhmRVzeHvZ3xzDBiSMY004ox4viUjGOjHceHiIiqKhahiKqAR4p8jIyNRXV5NZUZEZb7+sKyWg0DRkakTt+zHgGvMPORGdRmGVEUFBnVTCiGYmwzwhgbjk/JODba6Wt8dDXrERERkTacHY+IiPSGsx4REREREb2+eCUUERHpBWc9IiIiIiJ6vbEIRUREesFZj4iIiIiIXm8sQhGZEHk1c9wufKrWrkQFnnVDREREREREpEd6K0KNGjUK6enpkMlkqFGjBqZNmwYXFxfcuHEDwcHBePjwIaytrREREYFGjRrpKywik5JToEDg3v1q7dEf8Rk5REREREREZNz0VoSKiIhArVrPp5s9dOgQpkyZgh07diA0NBQDBw5Enz59sGvXLoSEhOCHH37QV1hERER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\n",
            "text/plain": [
              "<Figure size 1440x360 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_ghA8B_pv9bu"
      },
      "source": [
        "Podemos concluir que:\n",
        "* A a maior parte dos genes possui valor médio de expressão gênica entre -0.1 e 0.1\n",
        "* A maior parte dos genes tem seu valor mínimo de expressão gênica igual a -10\n",
        "* A maior parte dos genes tem seu valor máximo de expressão gênica igual a 10"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AXkaSfxh0_Dm",
        "outputId": "de244158-2933-404c-9c37-b20dcb203c1b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "dados.g_0.describe()"
      ],
      "execution_count": 122,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    23814.000000\n",
              "mean         0.248366\n",
              "std          1.393399\n",
              "min         -5.513000\n",
              "25%         -0.473075\n",
              "50%         -0.008850\n",
              "75%          0.525700\n",
              "max         10.000000\n",
              "Name: g_0, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 122
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dYuePtg3xzyF"
      },
      "source": [
        "###Desafio 04: Estudar sobre as estatísticas método describe()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VQNktX4yyyox"
      },
      "source": [
        "Máximo e Mínimo\n",
        "* \"A mínima e a máxima são os valores nos “extremos” de um conjunto de dados ordenados: ou seja, o menor e o maior valor. Ambos são utilizados cotidianamente e facilmente compreensíveis para quase toda população, pense – por exemplo – em seu uso diário na previsão do tempo.\"\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-uv9Iixj3iy5"
      },
      "source": [
        "Média\n",
        "* \"Média (M), mais precisamente chamada de média aritmética simples, é o resultado da soma de todas as informações de um conjunto de dados dividida pelo número de informações que foram somadas.\"\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uikMWdTT32Qm"
      },
      "source": [
        "Mediana\n",
        "* \"Se o conjunto de informações for numérico e estiver organizado em ordem crescente ou decrescente, a sua mediana será o número que ocupa a posição central da lista.\"\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mElShyDL36N-"
      },
      "source": [
        "Desvio Padrão\n",
        "* \"Em probabilidade, o desvio padrão ou desvio padrão populacional é uma medida de dispersão em torno da média populacional de uma variável aleatória. O termo possui também uma acepção específica no campo da estatística, na qual também é chamado de desvio padrão amostral  e indica uma medida de dispersão dos dados em torno de média amostral. Um baixo desvio padrão indica que os pontos dos dados tendem a estar próximos da média ou do valor esperado. Um alto desvio padrão indica que os pontos dos dados estão espalhados por uma ampla gama de valores. O desvio padrão populacional ou amostral é a raiz quadrada da variância populacional ou amostral correspondente, de modo a ser uma medida de dispersão que seja um número não negativo e que use a mesma unidade de medida dos dados fornecidos.\"\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WGu5KG1l4MHG"
      },
      "source": [
        "\n",
        "Variação Interquartil (Q3-Q1)\n",
        "* \"Tanto o desvio padrão quanto a variância dependem da média, portanto, são afetados por valores extremos. Mas há uma medida de dispersão baseada na mediana, que consegue contornar a presença destes outliers: a variação interquartil, abreviada para IQR em inglês.\n",
        "Para descobrir a variação interquartil, primeiramente, dividimos os dados em duas metades, como na mediana, para em seguida refazer esta operação com cada uma das duas metades. Obtemos então quatro partes iguais – ou quartis.\n",
        "Agora, você subtrai a mediana da metade superior (terceiro quartil ou Q3) com a mediana da metade inferior (primeiro quartil ou Q1). A vantagem deste método é que ele, por definição, já isola os outliers, seja inferiores ou superiores.\"\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hb4uhao44P2x"
      },
      "source": [
        "OUTLIERS\n",
        "* \"São valores atípicos entre os dados analisados. Isto é avaliado a partir do quanto um determinado valor difere dos demais em um conjunto de dados. Eles podem trazer tanto uma má notícia, como erros na coleta ou limpeza dos dados, como também boas novas, como os casos que fogem da regra e podem ganhar destaque na sua análise.\n",
        "Por um lado, os outliers podem revelar um erro a ser corrigido ou pelo menos considerado, antes de avançarmos com a análise. Por isso, é importante começar as análises identificando-os, pois eles podem ser indícios de erros de medição ou falhas na limpeza de dados.\"\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iv3VUfnC4SAQ"
      },
      "source": [
        "\n",
        "Referências:\n",
        "https://escoladedados.org/tutoriais/analise-com-estatistica-descritiva-para-leigos/\n",
        "https://pt.wikipedia.org/wiki/Desvio_padr%C3%A3o\n",
        "https://operdata.com.br/blog/desvio-padrao-e-erro-padrao/\n",
        "https://brasilescola.uol.com.br/matematica/moda-media-mediana.htm"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dHdQaC24Ff54"
      },
      "source": [
        "###Desafio 05: Refletir sobre a manipulação do tamanho das visualizações\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZbnLm8ecH2OE"
      },
      "source": [
        "Buscando realizar um reflexão sobre o tamanho das visualizações, farei uma comparação plotando os mesmos gráficos, porém utilizando, priemiramente, um tamanho menor na horizontal e no segundo gráfico colocarei um tamanho maior pra este mesmo eixo."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Glsj-zDT4S7I",
        "outputId": "35c3465b-4c06-460d-b836-f5a3cc0c7576",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 679
        }
      },
      "source": [
        "plt.figure(figsize=(8, 5))\n",
        "sns.boxplot(x = 'g_0', y = 'tratamento', data = dados)\n",
        "\n",
        "plt.figure(figsize=(18,5))\n",
        "sns.boxplot(x = 'g_0', y = 'tratamento',  data = dados)"
      ],
      "execution_count": 133,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fef5266ff90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 133
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1296x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MI8485m-NFnY"
      },
      "source": [
        "Realizando a análise com tamanho maior na horizontal podemos verificar melhor a distribuição dos outliers e também conseguimos uma melhor visualização da diferença entre as medianas."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QlcH1viOM3BG"
      },
      "source": [
        "###Desafio 06: Fazer outras análises com Boxplot e até com o histograma.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mPqA_2nYOJhu"
      },
      "source": [
        "1. Verificando as expressões genéticas do g_0 com relaçao as doses"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lgDjNO_VFfYq",
        "outputId": "99bc8da1-855f-4905-b5a6-abd6855abfc1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 646
        }
      },
      "source": [
        "plt.figure(figsize=(8, 5))\n",
        "sns.boxplot(x = 'g_0', y = 'dose', data = dados)\n",
        "\n",
        "plt.figure(figsize=(20, 5))\n",
        "sns.boxplot(x = 'g_0', y = 'dose', data = dados)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 136,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nt8ByG39PGoM"
      },
      "source": [
        "Ampliando o eixo x, verificamos uma configuração bem parecida das expressões gênicas, percebe-se uma diferença mais aparente nos pontos de máximo e mínimo."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z5epIBw5WKdm"
      },
      "source": [
        "2. Dosagem e expressões genética para todas as colunas de genes"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "csjf69EWWoFK"
      },
      "source": [
        "Abaixo realizei um filtro, primeiro, com a dosagem 1 (D1) para todos os genes a fim de verificar os valores médios, máximos e mínimos das expressões genéticas. Repeti toda a operação para dosagem 2 (D2)\n",
        "\n",
        "O objetivo era verificar o comportamento da expressão gênica com diferentes dosagens.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aJz3RDjIMY9C"
      },
      "source": [
        "media_d1 = dados.query('dose == \"D1\"').loc[:, 'g_0': 'g_771'].describe().T['mean']"
      ],
      "execution_count": 160,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XLnHrtn7TFbR"
      },
      "source": [
        "max_d1 = dados.query('dose == \"D1\"').loc[:, 'g_0': 'g_771'].describe().T['max']"
      ],
      "execution_count": 161,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8HiYlDyvTFSa"
      },
      "source": [
        "min_d1 = dados.query('dose == \"D1\"').loc[:, 'g_0': 'g_771'].describe().T['min']"
      ],
      "execution_count": 162,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N3P7CYgdRAb9"
      },
      "source": [
        "media_d2 = dados.query('dose == \"D2\"').loc[:, 'g_0': 'g_771'].describe().T['mean']"
      ],
      "execution_count": 165,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "URxrPS29TFJS"
      },
      "source": [
        "min_d2 = dados.query('dose == \"D2\"').loc[:, 'g_0': 'g_771'].describe().T['min']"
      ],
      "execution_count": 166,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WeBpXSBBUBB1"
      },
      "source": [
        "max_d2 = dados.query('dose == \"D2\"').loc[:, 'g_0': 'g_771'].describe().T['max']"
      ],
      "execution_count": 167,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7vfNXIGZQBGF",
        "outputId": "3cb56f9f-db0a-48f6-fc47-ef5a09dda432",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 755
        }
      },
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "fig = plt.figure(figsize=(20,13)) # Tamanho do gráfico\n",
        "\n",
        "ax1 = fig.add_subplot(2, 3, 1)  # Adicionando a posição do primeir gráfico, 1 linha, 1 coluna, 1ª Posição\n",
        "ax2 = fig.add_subplot(2, 3, 2)  # Adicionando a posição do segundo gráfico, 1 linha, 1 coluna, 2ª Posição\n",
        "ax3 = fig.add_subplot(2, 3, 3)  # Adicionando a posição do segundo gráfico, 1 linha, 1 coluna, 3ª Posição\n",
        "ax4 = fig.add_subplot(2, 3, 4)  # Adicionando a posição do primeir gráfico, 1 linha, 1 coluna, 4ª Posição\n",
        "ax5 = fig.add_subplot(2, 3, 5)  # Adicionando a posição do segundo gráfico, 1 linha, 1 coluna, 5ª Posição\n",
        "ax6 = fig.add_subplot(2, 3, 6)  # Adicionando a posição do segundo gráfico, 1 linha, 1 coluna, 6ª Posição\n",
        "\n",
        "ax1.set_xlabel('Valores Médios', fontsize=14) # Adicionando a legenda dos eixo x\n",
        "ax1.set_title('Valores Médios das Expressões Gênicas para D1', fontsize=14)  # Adicionando o título do pimeiro gráfico\n",
        "sns.histplot(media_d1, ax = ax1, bins=30, kde = True, color='teal') \n",
        "\n",
        "ax2.set_xlabel('Valores Mínimos', fontsize=14) # Adicionando a legenda dos eixo x\n",
        "ax2.set_title('Valores Mínimos das Expressões Gênicas para D1 ', fontsize=14)  # Adicionando o título do pimeiro gráfico\n",
        "sns.histplot(min_d1, ax = ax2, bins=50, color='teal') \n",
        "\n",
        "ax3.set_xlabel('Valores Máximos', fontsize=14) # Adicionando a legenda dos eixo x\n",
        "ax3.set_title('Valores Máximos Expressões Gênicas para D1', fontsize=14)  # Adicionando o título do pimeiro gráfico\n",
        "sns.histplot(max_d1, ax = ax3, bins=50, color='teal') \n",
        "\n",
        "ax4.set_xlabel('Valores Médios', fontsize=14) # Adicionando a legenda dos eixo x\n",
        "ax4.set_title('Valores Médios das Expressões Gênicas para D2', fontsize=14)  # Adicionando o título do pimeiro gráfico\n",
        "sns.histplot(media_d2, ax = ax4, bins=30, kde = True, color='teal') \n",
        "\n",
        "ax5.set_xlabel('Valores Mínimos', fontsize=14) # Adicionando a legenda dos eixo x\n",
        "ax5.set_title('Valores Mínimos das Expressões Gênicas para D2 ', fontsize=14)  # Adicionando o título do pimeiro gráfico\n",
        "sns.histplot(min_d2, ax = ax5, bins=50, color='teal') \n",
        "\n",
        "ax6.set_xlabel('Valores Máximos', fontsize=14) # Adicionando a legenda dos eixo x\n",
        "ax6.set_title('Valores Máximos Expressões Gênicas para D2', fontsize=14)  # Adicionando o título do pimeiro gráfico\n",
        "sns.histplot(max_d2, ax = ax6, bins=50, color='teal') \n",
        "\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 175,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x936 with 6 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8flU2wwoZCYT"
      },
      "source": [
        "No que se refere a comparação das médias verificamos que para D1 pontos de concetraçao das médias entre 0 e -0.1, para a dose D2 temos uma concentração próximo ao 0. Já os valores de máximo e mínimo vemos comportamentos bem parecidos com concentração em 10 e -10, respectivamente."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iXI7p08CTrtR"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}