Aula_01.ipynb

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    "colab": {
      "name": "Imersao_Dados_Aula_01.ipynb",
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      "name": "python3",
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      "cell_type": "markdown",
      "metadata": {
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      "source": [
        "\n",
        "#Olá! \n",
        "\n",
        "Seja bem-vinda  ou bem-vindo ao notebook da aula 01, nesta aula vamos realizar nossa primeira análise de dados e no final já seremos capazes de tirar algumas conclusões.\n",
        "\n",
        "Nós desenvolveremos nosso projeto aqui no google colaboratory, assim podemos mesclar células contendo textos em formato markdown e células de código, além disso você não precisa instalar nada na sua máquina. Então, que tal começar testando algumas linhas de código?\n",
        "\n",
        "No campo abaixo temos o que chamamos de célula. Na célula nós podemos digitar textos, cálculos e códigos. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5PGNQ2pACcmg"
      },
      "source": [
        "# Importando os dados\n",
        "\n",
        "Nessa imersão nós vamos mergulhar no universo da biologia e da biotecnologia e explorar uma base de dados da área.\n",
        "\n",
        "Para a nossa análise, está faltando então os dados. Para conseguirmos esses dados vamos acessar o Github, nesse link:\n",
        "\n",
        "https://github.com/alura-cursos/imersaodados3/tree/main/dados\n",
        "\n",
        "Então, agora vamos importar essa base de dados para dentro do nosso notebook. Para juntar essas informações vamos utilizar nossa famosa biblioteca do \"Pandas\".\n",
        "Vamos importar essa biblioteca através do seguinte código:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "id": "n4nsCvloshsm",
        "outputId": "2458e045-b3ac-4c00-854e-c8ddac0ff103"
      },
      "source": [
        "import pandas as pd\n",
        "\n",
        "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",
        "dados"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "execute_result",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23809</th>\n",
              "      <td>id_fffb1ceed</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>df1d0a5a1</td>\n",
              "      <td>0.1394</td>\n",
              "      <td>-0.0636</td>\n",
              "      <td>-0.1112</td>\n",
              "      <td>-0.5080</td>\n",
              "      <td>-0.4713</td>\n",
              "      <td>0.7201</td>\n",
              "      <td>0.5773</td>\n",
              "      <td>0.3055</td>\n",
              "      <td>-0.4726</td>\n",
              "      <td>0.1269</td>\n",
              "      <td>0.2531</td>\n",
              "      <td>0.1730</td>\n",
              "      <td>-0.4532</td>\n",
              "      <td>-1.0790</td>\n",
              "      <td>0.2474</td>\n",
              "      <td>-0.4550</td>\n",
              "      <td>0.3588</td>\n",
              "      <td>0.1600</td>\n",
              "      <td>-0.7362</td>\n",
              "      <td>-0.1103</td>\n",
              "      <td>0.8550</td>\n",
              "      <td>-0.4139</td>\n",
              "      <td>0.5541</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.5573</td>\n",
              "      <td>-0.4397</td>\n",
              "      <td>-0.9260</td>\n",
              "      <td>-0.2424</td>\n",
              "      <td>-0.6686</td>\n",
              "      <td>0.2326</td>\n",
              "      <td>0.6456</td>\n",
              "      <td>0.0136</td>\n",
              "      <td>-0.5141</td>\n",
              "      <td>-0.6320</td>\n",
              "      <td>0.7166</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0807</td>\n",
              "      <td>0.4024</td>\n",
              "      <td>-0.0895</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9641</td>\n",
              "      <td>-0.1846</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>0.3154</td>\n",
              "      <td>-0.2071</td>\n",
              "      <td>-0.6158</td>\n",
              "      <td>-0.2977</td>\n",
              "      <td>0.0992</td>\n",
              "      <td>0.6838</td>\n",
              "      <td>0.5259</td>\n",
              "      <td>0.7882</td>\n",
              "      <td>0.3119</td>\n",
              "      <td>-0.7697</td>\n",
              "      <td>0.2203</td>\n",
              "      <td>-1.0710</td>\n",
              "      <td>0.5979</td>\n",
              "      <td>0.0848</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.6293</td>\n",
              "      <td>1.1660</td>\n",
              "      <td>0.3329</td>\n",
              "      <td>0.2754</td>\n",
              "      <td>0.4108</td>\n",
              "      <td>-0.1252</td>\n",
              "      <td>-0.2340</td>\n",
              "      <td>0.2267</td>\n",
              "      <td>0.1969</td>\n",
              "      <td>0.0262</td>\n",
              "      <td>-0.8121</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.5372</td>\n",
              "      <td>-0.3246</td>\n",
              "      <td>0.0631</td>\n",
              "      <td>0.9171</td>\n",
              "      <td>0.5258</td>\n",
              "      <td>0.4680</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23810</th>\n",
              "      <td>id_fffb70c0c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>ecf3b6b74</td>\n",
              "      <td>-1.3260</td>\n",
              "      <td>0.3478</td>\n",
              "      <td>-0.3743</td>\n",
              "      <td>0.9905</td>\n",
              "      <td>-0.7178</td>\n",
              "      <td>0.6621</td>\n",
              "      <td>-0.2252</td>\n",
              "      <td>-0.5565</td>\n",
              "      <td>0.5112</td>\n",
              "      <td>0.6727</td>\n",
              "      <td>-0.1851</td>\n",
              "      <td>2.8650</td>\n",
              "      <td>-0.2140</td>\n",
              "      <td>-0.6153</td>\n",
              "      <td>0.8362</td>\n",
              "      <td>0.5584</td>\n",
              "      <td>-0.2589</td>\n",
              "      <td>0.1292</td>\n",
              "      <td>0.0148</td>\n",
              "      <td>0.0949</td>\n",
              "      <td>-0.2182</td>\n",
              "      <td>-0.9235</td>\n",
              "      <td>0.0749</td>\n",
              "      <td>-1.5910</td>\n",
              "      <td>-0.8359</td>\n",
              "      <td>-0.9217</td>\n",
              "      <td>0.3013</td>\n",
              "      <td>0.1716</td>\n",
              "      <td>0.0880</td>\n",
              "      <td>0.1842</td>\n",
              "      <td>0.1835</td>\n",
              "      <td>0.5436</td>\n",
              "      <td>-0.0533</td>\n",
              "      <td>-0.0491</td>\n",
              "      <td>0.9543</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1410</td>\n",
              "      <td>1.2640</td>\n",
              "      <td>-0.8663</td>\n",
              "      <td>0.8129</td>\n",
              "      <td>-0.1514</td>\n",
              "      <td>-0.4652</td>\n",
              "      <td>-0.7390</td>\n",
              "      <td>-1.3270</td>\n",
              "      <td>0.9925</td>\n",
              "      <td>1.0570</td>\n",
              "      <td>-0.3355</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.8219</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>-0.2942</td>\n",
              "      <td>0.2408</td>\n",
              "      <td>-0.7781</td>\n",
              "      <td>-0.0929</td>\n",
              "      <td>-0.0329</td>\n",
              "      <td>0.0781</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>0.3188</td>\n",
              "      <td>-1.1080</td>\n",
              "      <td>0.4895</td>\n",
              "      <td>-0.2144</td>\n",
              "      <td>1.0960</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.4444</td>\n",
              "      <td>-1.1130</td>\n",
              "      <td>0.4286</td>\n",
              "      <td>0.4426</td>\n",
              "      <td>0.0423</td>\n",
              "      <td>-0.3195</td>\n",
              "      <td>-0.8086</td>\n",
              "      <td>-0.9798</td>\n",
              "      <td>-0.2084</td>\n",
              "      <td>-0.1224</td>\n",
              "      <td>-0.2715</td>\n",
              "      <td>0.3689</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6845</td>\n",
              "      <td>0.7127</td>\n",
              "      <td>0.7294</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>id_fffcb9e7c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.4392</td>\n",
              "      <td>0.2044</td>\n",
              "      <td>0.8531</td>\n",
              "      <td>-0.0343</td>\n",
              "      <td>0.0323</td>\n",
              "      <td>0.0463</td>\n",
              "      <td>0.4299</td>\n",
              "      <td>-0.7985</td>\n",
              "      <td>0.5742</td>\n",
              "      <td>0.1421</td>\n",
              "      <td>2.2700</td>\n",
              "      <td>0.2046</td>\n",
              "      <td>0.5363</td>\n",
              "      <td>-1.7330</td>\n",
              "      <td>0.1450</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.2024</td>\n",
              "      <td>0.9865</td>\n",
              "      <td>-0.7805</td>\n",
              "      <td>0.9608</td>\n",
              "      <td>0.3440</td>\n",
              "      <td>2.7650</td>\n",
              "      <td>0.4925</td>\n",
              "      <td>0.6698</td>\n",
              "      <td>0.2374</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.8771</td>\n",
              "      <td>-2.6560</td>\n",
              "      <td>-0.2000</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.6797</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>-0.0927</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3360</td>\n",
              "      <td>-0.6136</td>\n",
              "      <td>0.5011</td>\n",
              "      <td>0.9261</td>\n",
              "      <td>0.4419</td>\n",
              "      <td>0.0295</td>\n",
              "      <td>0.4220</td>\n",
              "      <td>0.4677</td>\n",
              "      <td>-0.1184</td>\n",
              "      <td>0.4524</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.1356</td>\n",
              "      <td>-0.5801</td>\n",
              "      <td>0.0411</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>-0.0270</td>\n",
              "      <td>-0.4194</td>\n",
              "      <td>0.7403</td>\n",
              "      <td>-0.6793</td>\n",
              "      <td>-0.1423</td>\n",
              "      <td>0.7307</td>\n",
              "      <td>0.7946</td>\n",
              "      <td>-0.0650</td>\n",
              "      <td>0.9038</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.9676</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.5187</td>\n",
              "      <td>-0.1105</td>\n",
              "      <td>0.4258</td>\n",
              "      <td>-0.2012</td>\n",
              "      <td>0.1506</td>\n",
              "      <td>1.5230</td>\n",
              "      <td>0.7101</td>\n",
              "      <td>0.1732</td>\n",
              "      <td>0.7015</td>\n",
              "      <td>-0.6290</td>\n",
              "      <td>0.0740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23813</th>\n",
              "      <td>id_ffffdd77b</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>972f41291</td>\n",
              "      <td>-0.8598</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>-0.1361</td>\n",
              "      <td>0.7952</td>\n",
              "      <td>-0.3611</td>\n",
              "      <td>-3.6750</td>\n",
              "      <td>-1.2420</td>\n",
              "      <td>0.9146</td>\n",
              "      <td>3.0790</td>\n",
              "      <td>1.2460</td>\n",
              "      <td>1.9460</td>\n",
              "      <td>1.4370</td>\n",
              "      <td>2.9780</td>\n",
              "      <td>2.2370</td>\n",
              "      <td>-0.6818</td>\n",
              "      <td>0.6870</td>\n",
              "      <td>-1.1060</td>\n",
              "      <td>0.0182</td>\n",
              "      <td>-0.9247</td>\n",
              "      <td>-0.0738</td>\n",
              "      <td>-0.1919</td>\n",
              "      <td>-0.7722</td>\n",
              "      <td>-1.4050</td>\n",
              "      <td>-1.0050</td>\n",
              "      <td>-1.1170</td>\n",
              "      <td>-0.5293</td>\n",
              "      <td>-1.1720</td>\n",
              "      <td>-0.2885</td>\n",
              "      <td>0.1599</td>\n",
              "      <td>-0.4250</td>\n",
              "      <td>0.3591</td>\n",
              "      <td>-0.1420</td>\n",
              "      <td>-0.9530</td>\n",
              "      <td>-0.2005</td>\n",
              "      <td>-1.8340</td>\n",
              "      <td>...</td>\n",
              "      <td>-6.9170</td>\n",
              "      <td>-1.8640</td>\n",
              "      <td>-2.5090</td>\n",
              "      <td>-4.7130</td>\n",
              "      <td>-1.7250</td>\n",
              "      <td>-3.8650</td>\n",
              "      <td>-3.0800</td>\n",
              "      <td>-4.1530</td>\n",
              "      <td>-1.2030</td>\n",
              "      <td>-1.1690</td>\n",
              "      <td>-4.1460</td>\n",
              "      <td>-1.2670</td>\n",
              "      <td>-1.1300</td>\n",
              "      <td>-2.4390</td>\n",
              "      <td>0.1591</td>\n",
              "      <td>-2.2490</td>\n",
              "      <td>-2.5860</td>\n",
              "      <td>-1.9520</td>\n",
              "      <td>-2.1810</td>\n",
              "      <td>-4.6690</td>\n",
              "      <td>-3.9450</td>\n",
              "      <td>-2.9560</td>\n",
              "      <td>-2.7930</td>\n",
              "      <td>-2.1560</td>\n",
              "      <td>-2.4100</td>\n",
              "      <td>-1.8190</td>\n",
              "      <td>-3.3480</td>\n",
              "      <td>-0.1414</td>\n",
              "      <td>-2.6430</td>\n",
              "      <td>-2.5810</td>\n",
              "      <td>-3.3890</td>\n",
              "      <td>-1.7450</td>\n",
              "      <td>-6.6300</td>\n",
              "      <td>-4.0950</td>\n",
              "      <td>-7.3860</td>\n",
              "      <td>-1.4160</td>\n",
              "      <td>-3.5770</td>\n",
              "      <td>-0.4775</td>\n",
              "      <td>-2.1500</td>\n",
              "      <td>-4.2520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>23814 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...    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",
              "23809  id_fffb1ceed     com_droga     24   D2  ...  0.0631  0.9171  0.5258  0.4680\n",
              "23810  id_fffb70c0c     com_droga     24   D2  ... -0.2084 -0.1224 -0.2715  0.3689\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "23812  id_fffcb9e7c     com_droga     24   D1  ...  0.1732  0.7015 -0.6290  0.0740\n",
              "23813  id_ffffdd77b     com_droga     72   D1  ... -3.5770 -0.4775 -2.1500 -4.2520\n",
              "\n",
              "[23814 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0p7WSVbJewNd"
      },
      "source": [
        "Observe que imprimimos agora todas as nossas linhas e colunas da nossa tabela.\n",
        "\n",
        "Aqui observamos que temos dados referentes a ID, tratamento, tempo, dose, entre outras.\n",
        "\n",
        "Para nos auxiliar na visualização e na identificação das colunas dos dados que vamos trabalhar, faremos um recorte, uma espécie de cabeçalho, com 5 linhas, e para isso usamos o seguinte comando:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "ongQ8MkFsnWY",
        "outputId": "b31cc586-53f4-48af-d614-b5ca4432fb62"
      },
      "source": [
        "dados.head()"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\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",
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              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
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              "      <th>g-12</th>\n",
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              "      <th>g-15</th>\n",
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              "      <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": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "omm6c4MQT1Jf"
      },
      "source": [
        "### Últimas 5 linhas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "B61F5-itT4qD",
        "outputId": "fc6b923a-fb2b-44de-d298-d46bd748c18f"
      },
      "source": [
        "dados.tail()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>droga</th>\n",
              "      <th>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": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PR-2eTPghNeM"
      },
      "source": [
        "Quando estávamos trabalhando com o conjunto total de dados nós tínhamos a informação do número total de linhas e colunas. Porém, agora com o head, nós perdemos essa informação. Então, caso você queira recuperar a informação do total de linhas e colunas basta utilizar:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q_5RP0HKs1Sy",
        "outputId": "797ff743-4ce2-448f-dc65-898b97435320"
      },
      "source": [
        "dados.shape"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(23814, 877)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mrB8egkqhuqu"
      },
      "source": [
        "Então, agora vamos voltar para o nosso problema. \n",
        "\n",
        "Nós queremos iniciar fazendo uma análise dos dados que estamos tratando. Vamos começar selecionando só uma coluna, para entendermos do que ela está tratando. \n",
        "\n",
        "Vamos iniciar com a coluna tratamento. Para isso vamos digitar:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a8Og_8PIwdAS",
        "outputId": "23350d79-4508-4239-d41b-807bd62fd144"
      },
      "source": [
        "dados['tratamento']"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0           com_droga\n",
              "1           com_droga\n",
              "2           com_droga\n",
              "3           com_droga\n",
              "4           com_droga\n",
              "             ...     \n",
              "23809       com_droga\n",
              "23810       com_droga\n",
              "23811    com_controle\n",
              "23812       com_droga\n",
              "23813       com_droga\n",
              "Name: tratamento, Length: 23814, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2r9MV9uDijPI"
      },
      "source": [
        "Esse tipo de informação, da coluna, é o que chamamos de 'série'. Já a tabela inteira nós chamos de 'dataframe'.\n",
        "\n",
        "Agora para vermos os tipos específicos de informação que temos dentro dessa coluna vamos digitar:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_RkLWqqrwtJG",
        "outputId": "108b8166-6f06-44a1-aba2-21fa8f8aebfa"
      },
      "source": [
        "dados['tratamento'].unique()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['com_droga', 'com_controle'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "T1ZunAY_jBGM"
      },
      "source": [
        "A resposta foi dada no formato de array, que nada mais é do que um vetor, ou seja, um tipo de estrutura de dados.\n",
        "\n",
        "Observe que encontramos dois tipos: 'com droga' e 'com controle'.\n",
        "\n",
        "Com droga, como o próprio nome nos diz, é quando estamos aplicando algum tipo de droga para a amostra. Já com o controle é uma técnica estatística em que isolamos as outras varíaveis e observamos apenas a variável de interesse.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uceNBUhKkkUt"
      },
      "source": [
        "Agora vamos analisar a coluna do tempo:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IOPFkJW5w5i-",
        "outputId": "c5e668ef-aea0-4415-c8eb-d40a303aad4f"
      },
      "source": [
        "dados['tempo'].unique()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([24, 72, 48])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "40HmKHUikxpD"
      },
      "source": [
        "Encontramos 3 tipos de informação nessa coluna: 24, 72 e 48. O que pode nos indicar o tempo, provavelmente em horas, de intervalo que foi administrada a dose de medicamentos ou drogas.\n",
        "\n",
        "É interessante que observamos o comportamento das células com essa diferença de tempo, já que se analisássemos num período diferente poderia não dar tempo suficiente pra célula manifestar o determinado comportamento."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e1ObXppVlkS2"
      },
      "source": [
        "Além do tempo, podemos analisar também a coluna de dose:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2UWEVupCx9M7",
        "outputId": "8d1e7e36-e7ad-4601-88bd-cd215beb198a"
      },
      "source": [
        "dados['dose'].unique()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['D1', 'D2'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Gd3tqT3NmHy2"
      },
      "source": [
        "Aqui obtemos dois tipos de doses diferentes, d1 e d2, mas não conseguimos afirmar nada categoricamente de antemão."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TplxQpeJmO88"
      },
      "source": [
        "Vamos então analisar a categoria droga:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p1NaXGzCySfP",
        "outputId": "5150c023-bfce-4407-8d7e-a7bab7ad060f"
      },
      "source": [
        "dados['droga'].unique()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['b68db1d53', 'df89a8e5a', '18bb41b2c', ..., '573c787a2',\n",
              "       'b2fe3eca7', 'dd4a96d16'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Htm4SDCO-AZS"
      },
      "source": [
        "Agora com a resposta de ```dados['droga'].unique()``` obtivemos essa série de códigos como resposta. Talvez esses números foram codificados na tentativa de anonimizar os tipos de drogas usadas, para tentar evitar qualquer tipo de viés na análise dos resultados.\n",
        "\n",
        "Há uma série de regras quando alguns experimentos são feitos, evitando mostrar dados como nome, sexo, e outros fatores, dependendo da análise a ser feita, para que sejam evitados vieses."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Dq3VdLCAAKdt"
      },
      "source": [
        "Vamos analisar a coluna nomeada como g-0 agora:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CgHdbkO9ye6g",
        "outputId": "1438f2b1-8286-4c23-8277-9bae38ff5c4d"
      },
      "source": [
        "dados['g-0'].unique()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 1.062 ,  0.0743,  0.628 , ...,  0.3942,  0.666 , -0.8598])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BqL9s6hrBPRT"
      },
      "source": [
        "Só olhando fica difícil tentar deduzir o que esses números representam. Então, nesse ponto, com o auxílio da Vanessa, especialista, conseguimos a informação que essa letra 'g' da coluna remete à palavra gene. Ou seja, esses números nos dizem a expressão de cada gene frente as drogas ou a exposição.\n",
        "\n",
        "Quando subimos de volta na tabela, percebemos que há diversos valores, inclusive com várias casas decimais. Aparentemente esses números foram \"arredondados\", normalizados, para podermos compará-los de alguma forma.\n",
        "\n",
        "Então, até agora na nossa análise, já conseguimos identificar e entender as informações de diferentes colunas; as colunas que nos indicam os tratamentos, as drogas, o tempo, e depois as respostas genéticas, que tem a letra g no ínicio do seu nome.\n",
        "\n",
        "Outro tipo de análise que podemos fazer agora é entender a distribuição dessas informações. Por exemplo, podemos saber quantos experimentos temos utilizando droga e quantos não utilizam; quantos usam o d1, e quantos utilizam o d2, e assim por diante.\n",
        "\n",
        "Como podemos fazer isso? Vamos utilizar esse código:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pvSIUn9_zTWH",
        "outputId": "247ff2f1-931f-44d5-b9aa-1020d0c78df4"
      },
      "source": [
        "dados['tratamento'].value_counts()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "com_droga       21948\n",
              "com_controle     1866\n",
              "Name: tratamento, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WKEZrPM3R6sn"
      },
      "source": [
        "Agora, em vez de usarmos o ```.unique``` no código, nós utilizamos o ```.value_counts``` já que nosso objetivo era contar a quantidade de valores que apareciam nas colunas, nesse caso, na coluna ```tratamento```.\n",
        "\n",
        "No resultado ele retornou 2 linhas: uma com a quantidade de elementos que temos, ou seja, com a minha frequência, na categoria ```com_droga``` e a outra com a quantidade que temos na categoria ```com_controle```.\n",
        "\n",
        "Houve uma grande diferença no resultado dessas categorias, não é mesmo? Isso é, no mínimo, curioso. Então, Guilherme vai nos sugerir um desafio, de investigar o por quê dessa diferença tão grande.\n",
        "\n",
        "Nesse momento o Thiago já escreve outros dois desafios, o desafio #2 e o desafio #3. E a Vanessa também deixa o seu, desafio #4. Todos os desafios dessa aula estão escritos no final desse notebook."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SlyZ2RiGeU80"
      },
      "source": [
        "Será que essa diferença entre os valores dentro das categorias continuam tão desproporcionais? Vamos investigar a categoria ```dose```:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8F1qPq6h2WBl",
        "outputId": "9932c283-f4d7-4f42-dfa3-ef84f0fe2f9d"
      },
      "source": [
        "dados['dose'].value_counts()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "D1    12147\n",
              "D2    11667\n",
              "Name: dose, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TFa5qpVfepQE"
      },
      "source": [
        "Nesse ponto parece que as coisas já estão mais equilibradas. Mas somente com o número é difícil fazermos uma leitura mais aprofundada. Então, nesse momento, vamos resolver um dos desafios deixados. Então, se até aqui você ainda nao resolveu os desafios do vídeo e nao quer receber um spoiler, pare aqui e tente resolvê-los primeiro."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l7KpuFzEfPvu"
      },
      "source": [
        "Para entendermos melhor e fazer um comparativo é legal traçarmos a proporção entre os dados. Vamos escrever o código agora, setando como parâmetro, dentro dos parênteses o ```normalize = True``` :"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1sX66gG249OZ",
        "outputId": "890a5ddf-f236-4f3f-b988-1fa9ba81e071"
      },
      "source": [
        "dados['tratamento'].value_counts(normalize = True)"
      ],
      "execution_count": 13,
      "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": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hqvUYNmCfy4k"
      },
      "source": [
        "Temos agora os dados \"normalizados\". Podemos interpretar utilizando a porcentagem (multiplicando por 100), o que nos daria algo em torno de 92% versus 8% (aproximadamente), mostrando o tamanho da desproporção."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6pt69FpPgJes"
      },
      "source": [
        "Vamos fazer o mesmo agora com a coluna ```dose```:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wrLfRXx65NPP",
        "outputId": "6f19495d-e984-4cfa-a32b-19b39fef3fd7"
      },
      "source": [
        "dados['dose'].value_counts(normalize = True)"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "D1    0.510078\n",
              "D2    0.489922\n",
              "Name: dose, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HyGqjpYAXIv-"
      },
      "source": [
        "### Importando o matplotlib"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ck177CMmWauy"
      },
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jfzmJDZMglnC"
      },
      "source": [
        "Temos aqui o resultado. Inclusive, como mini-desafio, você pode fazer o mesmo processo com as outras colunas.\n",
        "\n",
        "Certo, mas geralmente, quando há a trasmissão dessas informações, vemos uma série de gráficos. E, geralmente, é usado aquele gráfico que parece uma torta, ou uma pizza.\n",
        "\n",
        "Vamos então plotar um gráfico dessa tipo, com o seguinte código:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 649
        },
        "id": "LYiMo76m5bnS",
        "outputId": "4ea4d032-de99-4b05-ffc0-ec2d51cb67fc"
      },
      "source": [
        "# Configurando o Tamanho do Gráfico\n",
        "fig = plt.figure(figsize=(10, 8))\n",
        "eixo = fig.add_axes([0, 0, 1, 1])\n",
        "\n",
        "labels = ['Com Droga', 'Com Controle']\n",
        "\n",
        "# Custumizando a Pizza\n",
        "eixo.pie(dados['tratamento'].value_counts(), labels=labels, autopct='%.1f%%', shadow=True,\n",
        "         colors=['aqua', 'purple'], textprops=dict(color='k', weight='bold', size=18))\n",
        "\n",
        "# Custumizando o Título\n",
        "eixo.set_title('Proporção de Tratamentos', fontsize=25, weight='bold')"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Proporção de Tratamentos')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        },
        {
          "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": "3TSXa6pLhM79"
      },
      "source": [
        "Aqui, em azul, nós temos a quantidade de tratamento com drogas(que é muito maior, em proporção), e em laranja temos o tratamento \"com controle\". Ficou até parecendo um pacman, hehe.\n",
        "\n",
        "Vamos aproveitar e analisar as outras informações com os gráficos também, para vermos o que acontece. Vamos analisar a coluna tempo:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 649
        },
        "id": "qmBQF9kx5uIc",
        "outputId": "09473ebb-af49-4e3b-9659-9a1ad2f6c85e"
      },
      "source": [
        "# Configurando o Tamanho do Gráfico\n",
        "fig = plt.figure(figsize=(10, 8))\n",
        "eixo = fig.add_axes([0, 0, 1, 1])\n",
        "\n",
        "# Custumizando a Pizza\n",
        "eixo.pie(dados['tempo'].value_counts(), labels=dados['tempo'].value_counts().index, autopct='%.2f%%', shadow=True,\n",
        "         colors=['lime', 'hotpink', 'dodgerblue'], textprops=dict(color='k', weight='bold', size=18))\n",
        "\n",
        "# Custumizando o Título\n",
        "eixo.set_title('Proporção do Tempo em Horas', fontsize=25, weight='bold')"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Proporção do Tempo em Horas')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "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": "fMiT70FVhtsj"
      },
      "source": [
        "Repare como ficou difícil a olho nú identificarmos qual observação é maior através do gráfico. Esse tipo de gráfico pode acabar dificultando um pouco a análise, especialmente quando as informações estão melhor balanceadas. \n",
        "\n",
        "Além de identificar a quantidade de horas observadas, nós não conseguimos extrair mais nenhuma informação desse gráfico. Inclusive, nós temos uma espécie de regrinha, que diz que quando formos fazer algum tipo de análise, procurarmos evitar o uso de gráficos que nos remetem a comida, como por exemplo: rosca, pizza, torta, e assim por diante.\n",
        "\n",
        "Então qual tipo de gráfico poderíamos utlizar para melhorarmos nossa visualização? Vamos utilizar o gráfico de barras, através deste código:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 676
        },
        "id": "TJ0MjBYZ6LOI",
        "outputId": "2b2fd065-ccd6-406c-b938-36a554d98be0"
      },
      "source": [
        "# Configurando o Tamanho do Gráfico\n",
        "fig = plt.figure(figsize=(10, 8))\n",
        "eixo = fig.add_axes([0, 0, 1, 1])\n",
        "\n",
        "# Custumizando as Colunas\n",
        "eixo.bar(x = dados['tempo'].value_counts().index, height = dados['tempo'].value_counts(normalize=True), \n",
        "         color=['lime', 'hotpink', 'dodgerblue'], width=5)\n",
        "\n",
        "# Custumizando o Título\n",
        "eixo.set_title('Proporção do Tempo', fontsize=25, weight='bold', pad=10)\n",
        "\n",
        "# Customizando os Eixos\n",
        "eixo.set_xticks(dados['tempo'].value_counts().index)\n",
        "eixo.set_xlabel('Tempo em Horas', fontsize=20)\n",
        "\n",
        "eixo.grid()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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+SZJ7ttae11rbsgf2BVhCTfn/D2CvNtysaNwvtdbePI++7CpVda+MhqD8VWvtl+bdH/pTVZdk2yvt/E5r7WXz6Q2wpziyD7AXaK19Msn7khw3eXUTANhRwj7AnFTVbavqLsPj/TK65GFlNCQHAHaam2oBzM9dklxcVZdndOnPO2R0ouf5c+0VAN1wZB9gfq5Lcm5GIf87MjpR94TWmrAPwC7hBF0AAOiUI/sAANApYR8AADol7AMAQKeEfQAA6NRed+nNO9/5zm3dunXz7sbcXHfddTnggAPm3Q2AW/D3Cdib3Zr/Rp1zzjlfaa1977Rle13YX7duXc4+++x5d2NuFhcXs7CwMO9uANyCv0/A3uzW/Deqqi5daplhPAAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE7NFPar6qiquqCqLqyqE6csf3pVfaqqPlFVH6mqw4bydVV1/VD+iar6s129AwAAwHT7LFehqlYlOSXJw5JcnuSsqtrUWvv0WLW3tdb+bKh/dJLXJDlqWHZRa+3eu7bbAADAcmY5sn94kgtbaxe31m5MclqSY8YrtNauHZs9IEnbdV0EAAB2xCxh/8Akl43NXz6UbaOqnlVVFyX5/STPGVt0SFWdV1UfqqoH7lRvAQCAmS07jGdWrbVTkpxSVU9K8ltJjktyZZLvb619tarum+Tvq+oeE98EpKpOSHJCkqxevTqLi4u7qlvfdjZv3nyr3n9g7+XvE7A38zdqulnC/hVJDhqbXzuULeW0JK9LktbaDUluGB6fMxz5v3uSs8dXaK2dmuTUJFm/fn1bWFiYsfv9WVxczK15/4G9l79PwN7M36jpZhnGc1aSQ6vqkKraL8mxSTaNV6iqQ8dmH5Xks0P59w4n+Kaq7prk0CQX74qOAwAA27fskf3W2paqenaSM5KsSvLG1tr5VXVSkrNba5uSPLuqHprkpiRXZzSEJ0kelOSkqropyc1Jnt5au2p37AgAALCtmcbst9ZOT3L6RNlLxh4/d4n13pXkXTvTQQAAYMe4gy7At5ma079zcs7c2gZgxwj7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFP7zLsDAAB04pnvmV/bR2yZX/uvfdR82p2BsD/FwSfPr+0Na5Lj5tT+pc+dT7sAAOwehvEAAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdGqmsF9VR1XVBVV1YVWdOGX506vqU1X1iar6SFUdNrbsRcN6F1TVI3Zl5wEAgKUtG/aralWSU5I8MslhSZ44HuYHb2ut3bO1du8kv5/kNcO6hyU5Nsk9khyV5LXD9gAAgN1sliP7hye5sLV2cWvtxiSnJTlmvEJr7dqx2QOStOHxMUlOa63d0Fr7XJILh+0BAAC72T4z1DkwyWVj85cnuf9kpap6VpLnJ9kvyU+NrXvmxLoH7lBPAQCAFZkl7M+ktXZKklOq6klJfivJcbOuW1UnJDkhSVavXp3FxcVd1a0dsmHN/Npeve/mbFizOJe25/y0AzPamI1zaXft5rXZuDifthezOJd2gRU6Ysvcmt58QLI4r/b34hA1S9i/IslBY/Nrh7KlnJbkdStZt7V2apJTk2T9+vVtYWFhhm7tPsedPL+2N6xZzMYrF+bS9qVPmEuzwAodmSPn0u7GxY3ZsLBhLm23b40OBfZqz3zP3JpePGJLFs7cZcexV+bJC/NpdwazjNk/K8mhVXVIVe2X0Qm3m8YrVNWhY7OPSvLZ4fGmJMdW1f5VdUiSQ5N8fOe7DQAALGfZjz+ttS1V9ewkZyRZleSNrbXzq+qkJGe31jYleXZVPTTJTUmuzjCEZ6j3jiSfTrIlybNaa9/cTfsCAACMmem7jtba6UlOnyh7ydjj525n3VckecWOdhAAANgx7qALAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOjVT2K+qo6rqgqq6sKpOnLL8+VX16ar6ZFW9v6oOHlv2zar6xDBt2pWdBwAAlrbPchWqalWSU5I8LMnlSc6qqk2ttU+PVTsvyfrW2ter6hlJfj/Jzw/Lrm+t3XsX9xsAAFjGLEf2D09yYWvt4tbajUlOS3LMeIXW2gdba18fZs9MsnbXdhMAAFipWcL+gUkuG5u/fChbylOTvHds/rZVdXZVnVlVj96BPgIAADtg2WE8K1FVv5hkfZIHjxUf3Fq7oqrumuQDVfWp1tpFE+udkOSEJFm9enUWFxd3ZbdWbMOa+bW9et/N2bBmcS5tz/lpB2a0MRvn0u7azWuzcXE+bS9mcS7tAit0xJa5Nb35gGRxXu3vxSFqlrB/RZKDxubXDmXbqKqHJvnNJA9urd2wtby1dsXw8+KqWkxynyTbhP3W2qlJTk2S9evXt4WFhRXtxK523Mnza3vDmsVsvHJhLm1f+oS5NAus0JE5ci7tblzcmA0LG+bSdkubS7vACj3zPXNrevGILVk4c5cex57dkxfm0+4MZhnGc1aSQ6vqkKraL8mxSba5qk5V3SfJ65Mc3Vr78lj5Hatq/+HxnZM8IMn4ib0AAMBusuzHn9balqp6dpIzkqxK8sbW2vlVdVKSs1trm5K8OsntkvxNVSXJ51trRyf54SSvr6qbM/pg8cqJq/gAAAC7yUzfdbTWTk9y+kTZS8YeP3SJ9T6a5J4700EAAGDHuIMuAAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnZop7FfVUVV1QVVdWFUnTln+/Kr6dFV9sqreX1UHjy07rqo+O0zH7crOAwAAS1s27FfVqiSnJHlkksOSPLGqDpuodl6S9a21eyV5Z5LfH9a9U5KXJrl/ksOTvLSq7rjrug8AACxlliP7hye5sLV2cWvtxiSnJTlmvEJr7YOtta8Ps2cmWTs8fkSS97XWrmqtXZ3kfUmO2jVdBwAAtmefGeocmOSysfnLMzpSv5SnJnnvdtY9cHKFqjohyQlJsnr16iwuLs7Qrd1nw5r5tb16383ZsGZxLm3P+WkHZrQxG+fS7trNa7NxcT5tL2ZxLu0CK3TElrk1vfmAZHFe7e/FIWqWsD+zqvrFJOuTPHgl67XWTk1yapKsX7++LSws7MpurdhxJ8+v7Q1rFrPxyoW5tH3pE+bSLLBCR+bIubS7cXFjNixsmEvbLW0u7QIr9Mz3zK3pxSO2ZOHMXRptZ/fkhfm0O4NZhvFckeSgsfm1Q9k2quqhSX4zydGttRtWsi4AALDrzRL2z0pyaFUdUlX7JTk2yabxClV1nySvzyjof3ls0RlJHl5VdxxOzH34UAYAAOxmy37X0VrbUlXPziikr0ryxtba+VV1UpKzW2ubkrw6ye2S/E1VJcnnW2tHt9auqqqXZ/SBIUlOaq1dtVv2BAAA2MZMA5taa6cnOX2i7CVjjx+6nXXfmOSNO9pBAABgx7iDLgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOjUTGG/qo6qqguq6sKqOnHK8gdV1blVtaWqHjex7JtV9Ylh2rSrOg4AAGzfPstVqKpVSU5J8rAklyc5q6o2tdY+PVbt80mOT7Jhyiaub63dexf0FQAAWIFlw36Sw5Nc2Fq7OEmq6rQkxyT5VthvrV0yLLt5N/QRAADYAbOE/QOTXDY2f3mS+6+gjdtW1dlJtiR5ZWvt7ycrVNUJSU5IktWrV2dxcXEFm9/1NqyZX9ur992cDWsW59L2nJ92YEYbs3Eu7a7dvDYbF+fT9mIW59IusEJHbJlb05sPSBbn1f5eHKJmCfs76+DW2hVVddckH6iqT7XWLhqv0Fo7NcmpSbJ+/fq2sLCwB7q1tONOnl/bG9YsZuOVC3Np+9InzKVZYIWOzJFzaXfj4sZsWJg2WnP3a2lzaRdYoWe+Z25NLx6xJQtn7oloO8WTF+bT7gxmOUH3iiQHjc2vHcpm0lq7Yvh5cZLFJPdZQf8AAIAdNEvYPyvJoVV1SFXtl+TYJDNdVaeq7lhV+w+P75zkARkb6w8AAOw+y4b91tqWJM9OckaSzyR5R2vt/Ko6qaqOTpKqul9VXZ7k8UleX1XnD6v/cJKzq+rfknwwozH7wj4AAOwBMw1saq2dnuT0ibKXjD0+K6PhPZPrfTTJPXeyjwAAwA5wB10AAOiUsA8AAJ0S9gEAoFPCPgAAdLA+eoYAABW3SURBVErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQKWEfAAA6JewDAECnhH0AAOiUsA8AAJ0S9gEAoFPCPgAAdErYBwCATgn7AADQqZnCflUdVVUXVNWFVXXilOUPqqpzq2pLVT1uYtlxVfXZYTpuV3UcAADYvmXDflWtSnJKkkcmOSzJE6vqsIlqn09yfJK3Tax7pyQvTXL/JIcneWlV3XHnuw0AACxnliP7hye5sLV2cWvtxiSnJTlmvEJr7ZLW2ieT3Dyx7iOSvK+1dlVr7eok70ty1C7oNwAAsIx9ZqhzYJLLxuYvz+hI/SymrXvgZKWqOiHJCUmyevXqLC4uzrj53WPDmvm1vXrfzdmwZnEubc/5aQdmtDEb59Lu2s1rs3FxPm0vZnEu7QIrdMSWuTW9+YBkcV7t78Uhapawv9u11k5NcmqSrF+/vi0sLMy1P8edPL+2N6xZzMYrF+bS9qVPmEuzwAodmSPn0u7GxY3ZsLBhLm23tLm0C6zQM98zt6YXj9iShTPnFG2fvDCfdmcwyzCeK5IcNDa/diibxc6sCwAA7IRZwv5ZSQ6tqkOqar8kxybZNOP2z0jy8Kq643Bi7sOHMgAAYDdbNuy31rYkeXZGIf0zSd7RWju/qk6qqqOTpKruV1WXJ3l8ktdX1fnDulcleXlGHxjOSnLSUAYAAOxmMw1saq2dnuT0ibKXjD0+K6MhOtPWfWOSN+5EHwEAgB3gDroAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgU8I+AAB0StgHAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2AQCgUzOF/ao6qqouqKoLq+rEKcv3r6q3D8s/VlXrhvJ1VXV9VX1imP5s13YfAABYyj7LVaiqVUlOSfKwJJcnOauqNrXWPj1W7alJrm6t3a2qjk3yqiQ/Pyy7qLV2713cbwAAYBmzHNk/PMmFrbWLW2s3JjktyTETdY5J8pfD43cmeUhV1a7rJgAAsFKzhP0Dk1w2Nn/5UDa1TmttS5JrknzPsOyQqjqvqj5UVQ/cyf4CAAAzWnYYz066Msn3t9a+WlX3TfL3VXWP1tq145Wq6oQkJyTJ6tWrs7i4uJu7tX0b1syv7dX7bs6GNYtzaXvOTzswo43ZOJd2125em42L82l7MYtzaRdYoSO2zK3pzQcki/Nqfy8OUbOE/SuSHDQ2v3Yom1bn8qraJ8ntk3y1tdaS3JAkrbVzquqiJHdPcvb4yq21U5OcmiTr169vCwsLK9+TXei4k+fX9oY1i9l45cJc2r70CXNpFlihI3PkXNrduLgxGxY2zKXtljaXdoEVeuZ75tb04hFbsnDm7j6OvYQnL8yn3RnMMoznrCSHVtUhVbVfkmOTbJqosynJccPjxyX5QGutVdX3Dif4pqrumuTQJBfvmq4DAADbs+zHn9balqp6dpIzkqxK8sbW2vlVdVKSs1trm5K8IclbqurCJFdl9IEgSR6U5KSquinJzUme3lq7anfsCAAAsK2ZvutorZ2e5PSJspeMPf5GksdPWe9dSd61k30EAAB2gDvoAgBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE4J+wAA0ClhHwAAOiXsAwBAp4R9AADolLAPAACdEvYBAKBTwj4AAHRK2AcAgE7NFPar6qiquqCqLqyqE6cs37+q3j4s/1hVrRtb9qKh/IKqesSu6zoAALA9y4b9qlqV5JQkj0xyWJInVtVhE9WemuTq1trdkvxhklcN6x6W5Ngk90hyVJLXDtsDAAB2s1mO7B+e5MLW2sWttRuTnJbkmIk6xyT5y+HxO5M8pKpqKD+ttXZDa+1zSS4ctgcAAOxms4T9A5NcNjZ/+VA2tU5rbUuSa5J8z4zrAgAAu8E+8+5AklTVCUlOGGY3V9UF8+zPPD0nuXOSr8yj7XrePFoFvl1syIb5/X1KzaNZ4NvJ6+aXofK6ubQ67uClFswS9q9IctDY/NqhbFqdy6tqnyS3T/LVGddNa+3UJKfO0JfuVdXZrbX18+4HwCR/n4C9mb9R080yjOesJIdW1SFVtV9GJ9xumqizKclxw+PHJflAa60N5ccOV+s5JMmhST6+a7oOAABsz7JH9ltrW6rq2UnOSLIqyRtba+dX1UlJzm6tbUryhiRvqaoLk1yV0QeCDPXekeTTSbYkeVZr7Zu7aV8AAIAxNToAz96iqk4YhjUB7FX8fQL2Zv5GTSfsAwBAp2a6gy4AAPDtR9ifk6o6qKo+WFWfrqrzq+q5E8tfUFWtqu48rz4CVNWqqjqvqv5hmH9IVZ1bVZ+oqo9U1d3m3Ufg1qWqfnD4G7R1uraqnldVr66q/6iqT1bV31XVHebd172BYTxzUlVrkqxprZ1bVd+V5Jwkj26tfbqqDkryF0l+KMl9W2vzuWYscKtXVc9Psj7Jd7fWfqaq/jPJMa21z1TVM5Mc3lo7fq6dBG61qmpVRpd1v3+SH8zoipBbqupVSdJa+4159m9v4Mj+nLTWrmytnTs8/u8kn8n/3F34D5P8ehKfxIC5qaq1SR6V0cGHrVqS7x4e3z7JF/Z0vwDGPCTJRa21S1tr/9Ra2zKUn5nR/Z1u9faKO+je2lXVuiT3SfKxqjomyRWttX+rcsdIYK7+KKMDD981VvbLSU6vquuTXJvkiHl0DGBwbJK/nlL+lCRv38N92Ss5sj9nVXW7JO9K8ryM7kXw4iQvmWungFu9qvqZJF9urZ0zsejXkvx0a21tkjclec0e7xxAkuFmr0cn+ZuJ8t/MKFO9dR792ts4sj9HVbVvRkH/ra21v62qeyY5JMnWo/prk5xbVYe31r44x64Ctz4PSHJ0Vf10ktsm+e6qek+SH2qtfWyo8/Yk/zivDgK3eo9Mcm5r7UtbC6rq+CQ/k+QhzYmpSZygOzc1SvN/meSq1trzlqhzSZL1TtAF5qmqFpJsSPLoJF9M8hOttf+sqqdmdJT/sfPsH3DrVFWnJTmjtfamYf6ojL5tfHBr7b/m2rm9iCP78/OAJP87yaeq6hND2Ytba6fPsU8ASxqucPG0JO+qqpuTXJ3RuFiAPaqqDkjysCS/Mlb8p0n2T/K+YYTEma21p8+he3sVR/YBAKBTTtAFAIBOCfsAANApYR8AADol7AMAQKeEfQAA6JSwDwAAnRL2gW5VVVvhdPy8+8z/qKqF4XVZ3E6ddUOdS/ZczwC+fbipFtCz35lS9rwkt09ycpKvTSz7xC2rA8C3L2Ef6FZr7WWTZcPR+9sn+aPW2iV7uEsAsEcZxgMwqKr7V9U7q+qLVXVjVV1WVa+vqv81pe7iMHxk36p6SVVdVFXfqKoLquppY/WeXlWfqqrrq+ryqvqdqrrNxLa2DkV5c1X9UFX9fVVdVVXXVdVHqurhS/R3/6o6cdj+16vq2qr6cFU9YQf2/U5V9XtV9Zmhr9dU1funtV1Vx28d9lRVDxva3FxV/1VVb6qqOwz17lNV/1BVVw/LN1XVupX2bUdV1W2G5/+sof3rhsfPmHwNhvpteF3vUlV/UVVXVNU3tw7vqqq7V9Urq+rsYV9vqKpLq+rUqlo7ZXtVVcdV1UeH+t8Y3lNnVNXP74GnAMCRfYAkqaqnJDk1yQ1JNiW5LMmhSX45yc9W1RGttc9PWfW0JPdPcnqSm5I8LsmpVXVTknslOS7JPyR5f5Kjk7wkydeTvGrKtg5J8q9JPpXk9UnWJPn5JO+tqie11t4+1t/9kpyR5MFJ/iPJKUm+c2j/7VV179bai2fc94OTLCZZl+TDSf4xyQFJfibJP1bVr7TW/nzKqkcPdf4hyZ8l+YkkxydZV1UvGvb5w0nekOSeSX42yV2r6l6ttZtn6dtOekuSJ2X0Wv5FkpbkMUlem+Qnk/zClHXulOTMJJuT/G2Sm5N8aVj2c0menuSDST6a5MYk98j/vEfWt9auGNvWK5K8KMnnkrwjyTUZvab3S/L4JG8PwG5WrbV59wFgjxlO5Dw4ySFbh/FU1d2T/HuSzyd58Hhgq6qHJPmnJJtaa48ZK1/MKGifneRhrbWvDeV3zSh8X5fROQE/uXV7wxHvCzMKnWtaa1uG8nUZBcIk2dhae+FYO+sz+gCwOcnBrbVrh/IXJfndJO9NcvTYtr4vyceHfXxAa+2jMzwni0kelORJrbXTxsrvkNGHgB9Msq619qWh/Pgkb0ryzSQPaa19aCi/TUYfQB6a5Ookv9pae+vY9t6Q5ClJHt1ae/cM/VrIKFhfmuTNS1S7Q5LnJrm0tbZubN0nJnlbkvOSPKi1tnkoPyDJh5LcN8kvtNbeNrbO1v8Q35LkKVuf07HlByb5Smvthonyh2f0OpzaWnvGWPlXk1yf5O6tta9PrHPn1tpXlnsOAHaWYTwAyTOS7JvkuRNHZtNae39GR/p/tqq+a8q6J24N+kP9i5N8JKMQ+vLx7Q31/m+SOyc5cMq2rkly0kT7Zyd567C9x4wtekpGHxqePx5KW2tfTvLyYfaXt7PPSZKq+tGMPrS8azzoj/X3pUlum+SxU1b/661Bf6h/c0ZBOUn+fTzoD/5q+Hnv5fo14eChH9Om5y6xzlOGnyduDfpDH69L8hvD7LTn58YkGyaD/rDuFZNBfyj/pyTnJ3nElO3dlNGHosl1BH1gjzCMByD58eHng6vqflOWf1+SVUnunuSciWVnT6n/heHnZN0k2Rr+12Z0xHrcua21/56yzmJGw4Huk+Qvhw8dd0tyRWvtP6bU/8Dw8z5Tlk3auu+3r6qXTVn+vcPPH56ybGf2fSU+1FpbmLZg4luRcT+W0RCcxWnbyyiAT3t+Lhk+ME1rqzIa+nN8kh9NcseM3hdb3TixyluT/GqST1fVO4Z2/7W1ds207QPsDsI+QPI9w88XbrdWcrvJgiWC29ajwttbtu+UZV+aUpYkXxx+3n7i55VL1N9afocllo/buu8PG6al3GLfs/39W+m+72q3T3JVa20ygKe1tqWqvpLRh7hJX5xSttVrMrp065UZDVe6IqNhOsnoA8DBE/V/LcnFSX4pyYnDtKWqTk/ygtbahTPvDcAOEvYB/ieY3n7rmPg5Wb1E+V2Gn9dM/LzLlLrJ6CTQ8Xrbs7XOc1trfzxD/W8X1yS5U1Xt21q7aXxBVe2T0VCqaa/11BPZhnMhnpPRuR0/MfkNzHCOwLYbau2bSf4oyR8N6/9kkmMzOjn3HlV1j2nDggB2JWP2AUZXX0mSB861F8mPLXFewMLw87wk/7+9+wmxqo4COP49SklD0EbaOLRIBBe6SmhRDMxiAlcjBYqtpASJKKTWbdw0lNGioEXMQCBWkH+YlbosW7RRZ1FGFCmISK7ciZvj4vwePV+v6c00f6/fz+a+effy+937ZvHOu/ec86MFmn8AOyJi15DjJ9v2yghzbpRrX2lXqe+4iSH7Jqj0m1E+n57n23iXhgT6423/v8rMvzLzbGYepNKsdgJ7ljC/JC2Lwb4kwedUIeWnrTPPIyLiyYhYi2D4Gao1Z//c+6g88XvAub5dc0AAH0fE1r7jtwMf9B2zqFYA/APwams/+g8Rsbfdmd5Metf+YUSM9d5sr2fan7NLGO9G27488Hk/DXzJwJPyqDUQXhocJCKeoNp7QrVglaRVZRqPpMdeZv7aAt054OeIuAD8RuWWP0fd9b4L7F7lU/keOBoRLwI/8nef/S3AsYEUo5PAfmAaWGh54GNUisizwEeZeXnEeV+n7jbPRsS7wE9U29Bxaq2APVQh79DC1Y0oM09HxDRwkPqfnqdSdA5Q6xl8O6Rb0GLj3YmIb6g0nGsRcYn6cTYF3Aeu8WiXoaeAyxHxO1WsfJPqajRFFTvPZ+b1/3mZkvSfDPYlCcjMUxGxALxPpcG8QvXKvw18x9osgPQntWjTTNtuo1JNTmTmxYHzfRARU8B7VLD+DlUAuwAcz8yvR500M29FxAttjNeoJwlbqWLVX4DPqIW+NpvDVAecN4Bj7b3rwCfAF8sY702q4PYQ8Db1A3CeehpzZuDYXovPSWqxsQNAL/3qLUZ46iJJK8FFtSRpnfW1j/wqM4+s68lIkjrFnH1JkiSpowz2JUmSpI4y2JckSZI6ypx9SZIkqaO8sy9JkiR1lMG+JEmS1FEG+5IkSVJHGexLkiRJHWWwL0mSJHWUwb4kSZLUUQ8BdeTzlxRwReIAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "htMQ_11Vpjsv"
      },
      "source": [
        "Agora sim conseguimos identificar com mais facilidade qual observação tem a sua maior frequência. Na verdade a quantidade de horas com o maior número de observações foi a de 48.\n",
        "\n",
        "No eixo y temos o número que nos remete ao número de observações. Então podemos observar que tivemos pouco mais de 8000 observações relativas às 48 horas.\n",
        "\n",
        "Então, o gráfico de barras acabou sendo muito mais útil, nesse caso, do que o gráfico de pizza."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qnvEJWZgqw7K"
      },
      "source": [
        "Ao longo da aula nós falamos sobre a expressão gênica. Se nós voltarmos à tabela, na coluna g-0, nós temos alguns valores dentro de um intervalo definido. Para não termos valores muito distantes entre si, é bastante comum no meio científico que haja uma normalização dos resultados, para criamos um intervalo que não seja tão grande, em que o meio dessa distribuição seja o 0.\n",
        "\n",
        "Como nós podemos saber em quais linhas dessa coluna, o meu valor está acima de 0?\n",
        "\n",
        "Vamos fazer uma consulta nos nossos dados, da seguinte maneira:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "_igXHK3A8wQr",
        "outputId": "ee3508d9-d8fc-4f92-d263-cc746a2062a6"
      },
      "source": [
        "dados_filtrados = dados[dados['g-0'] > 0]\n",
        "dados_filtrados.head()"
      ],
      "execution_count": 19,
      "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",
              "  </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",
              "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",
              "[5 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7Bbn_WyZuSSD"
      },
      "source": [
        "Dessa maneira, temos somente as 5 primeiras linhas com o valores maiores do que 0 na coluna g-0, com a ajuda dessa máscara com o código ```[dados['g-0']>0]```.\n",
        "\n",
        "Dessa mesma forma que aplicamos essa máscara, podemos utilizar o mesmo caminho, ou outras 'querys', para responder várias outras perguntas.\n",
        "\n",
        "Assim, temos outro desafio, o #5, de procurar na documentação do pandas o método query.\n",
        "\n",
        "Além desse temos outros desafios, o #6 e o #7 e o #8, todos eles estão logo abaixo."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "id": "hB3O-zZW9ZYw",
        "outputId": "9014b682-ae33-400f-c090-aa160d98d77b"
      },
      "source": [
        "dados"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
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              "  </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",
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              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.1220</td>\n",
              "      <td>-0.3752</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23809</th>\n",
              "      <td>id_fffb1ceed</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>df1d0a5a1</td>\n",
              "      <td>0.1394</td>\n",
              "      <td>-0.0636</td>\n",
              "      <td>-0.1112</td>\n",
              "      <td>-0.5080</td>\n",
              "      <td>-0.4713</td>\n",
              "      <td>0.7201</td>\n",
              "      <td>0.5773</td>\n",
              "      <td>0.3055</td>\n",
              "      <td>-0.4726</td>\n",
              "      <td>0.1269</td>\n",
              "      <td>0.2531</td>\n",
              "      <td>0.1730</td>\n",
              "      <td>-0.4532</td>\n",
              "      <td>-1.0790</td>\n",
              "      <td>0.2474</td>\n",
              "      <td>-0.4550</td>\n",
              "      <td>0.3588</td>\n",
              "      <td>0.1600</td>\n",
              "      <td>-0.7362</td>\n",
              "      <td>-0.1103</td>\n",
              "      <td>0.8550</td>\n",
              "      <td>-0.4139</td>\n",
              "      <td>0.5541</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.5573</td>\n",
              "      <td>-0.4397</td>\n",
              "      <td>-0.9260</td>\n",
              "      <td>-0.2424</td>\n",
              "      <td>-0.6686</td>\n",
              "      <td>0.2326</td>\n",
              "      <td>0.6456</td>\n",
              "      <td>0.0136</td>\n",
              "      <td>-0.5141</td>\n",
              "      <td>-0.6320</td>\n",
              "      <td>0.7166</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0807</td>\n",
              "      <td>0.4024</td>\n",
              "      <td>-0.0895</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9641</td>\n",
              "      <td>-0.1846</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>0.3154</td>\n",
              "      <td>-0.2071</td>\n",
              "      <td>-0.6158</td>\n",
              "      <td>-0.2977</td>\n",
              "      <td>0.0992</td>\n",
              "      <td>0.6838</td>\n",
              "      <td>0.5259</td>\n",
              "      <td>0.7882</td>\n",
              "      <td>0.3119</td>\n",
              "      <td>-0.7697</td>\n",
              "      <td>0.2203</td>\n",
              "      <td>-1.0710</td>\n",
              "      <td>0.5979</td>\n",
              "      <td>0.0848</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.6293</td>\n",
              "      <td>1.1660</td>\n",
              "      <td>0.3329</td>\n",
              "      <td>0.2754</td>\n",
              "      <td>0.4108</td>\n",
              "      <td>-0.1252</td>\n",
              "      <td>-0.2340</td>\n",
              "      <td>0.2267</td>\n",
              "      <td>0.1969</td>\n",
              "      <td>0.0262</td>\n",
              "      <td>-0.8121</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.5372</td>\n",
              "      <td>-0.3246</td>\n",
              "      <td>0.0631</td>\n",
              "      <td>0.9171</td>\n",
              "      <td>0.5258</td>\n",
              "      <td>0.4680</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23810</th>\n",
              "      <td>id_fffb70c0c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>ecf3b6b74</td>\n",
              "      <td>-1.3260</td>\n",
              "      <td>0.3478</td>\n",
              "      <td>-0.3743</td>\n",
              "      <td>0.9905</td>\n",
              "      <td>-0.7178</td>\n",
              "      <td>0.6621</td>\n",
              "      <td>-0.2252</td>\n",
              "      <td>-0.5565</td>\n",
              "      <td>0.5112</td>\n",
              "      <td>0.6727</td>\n",
              "      <td>-0.1851</td>\n",
              "      <td>2.8650</td>\n",
              "      <td>-0.2140</td>\n",
              "      <td>-0.6153</td>\n",
              "      <td>0.8362</td>\n",
              "      <td>0.5584</td>\n",
              "      <td>-0.2589</td>\n",
              "      <td>0.1292</td>\n",
              "      <td>0.0148</td>\n",
              "      <td>0.0949</td>\n",
              "      <td>-0.2182</td>\n",
              "      <td>-0.9235</td>\n",
              "      <td>0.0749</td>\n",
              "      <td>-1.5910</td>\n",
              "      <td>-0.8359</td>\n",
              "      <td>-0.9217</td>\n",
              "      <td>0.3013</td>\n",
              "      <td>0.1716</td>\n",
              "      <td>0.0880</td>\n",
              "      <td>0.1842</td>\n",
              "      <td>0.1835</td>\n",
              "      <td>0.5436</td>\n",
              "      <td>-0.0533</td>\n",
              "      <td>-0.0491</td>\n",
              "      <td>0.9543</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1410</td>\n",
              "      <td>1.2640</td>\n",
              "      <td>-0.8663</td>\n",
              "      <td>0.8129</td>\n",
              "      <td>-0.1514</td>\n",
              "      <td>-0.4652</td>\n",
              "      <td>-0.7390</td>\n",
              "      <td>-1.3270</td>\n",
              "      <td>0.9925</td>\n",
              "      <td>1.0570</td>\n",
              "      <td>-0.3355</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.8219</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>-0.2942</td>\n",
              "      <td>0.2408</td>\n",
              "      <td>-0.7781</td>\n",
              "      <td>-0.0929</td>\n",
              "      <td>-0.0329</td>\n",
              "      <td>0.0781</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>0.3188</td>\n",
              "      <td>-1.1080</td>\n",
              "      <td>0.4895</td>\n",
              "      <td>-0.2144</td>\n",
              "      <td>1.0960</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.4444</td>\n",
              "      <td>-1.1130</td>\n",
              "      <td>0.4286</td>\n",
              "      <td>0.4426</td>\n",
              "      <td>0.0423</td>\n",
              "      <td>-0.3195</td>\n",
              "      <td>-0.8086</td>\n",
              "      <td>-0.9798</td>\n",
              "      <td>-0.2084</td>\n",
              "      <td>-0.1224</td>\n",
              "      <td>-0.2715</td>\n",
              "      <td>0.3689</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6845</td>\n",
              "      <td>0.7127</td>\n",
              "      <td>0.7294</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>id_fffcb9e7c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.4392</td>\n",
              "      <td>0.2044</td>\n",
              "      <td>0.8531</td>\n",
              "      <td>-0.0343</td>\n",
              "      <td>0.0323</td>\n",
              "      <td>0.0463</td>\n",
              "      <td>0.4299</td>\n",
              "      <td>-0.7985</td>\n",
              "      <td>0.5742</td>\n",
              "      <td>0.1421</td>\n",
              "      <td>2.2700</td>\n",
              "      <td>0.2046</td>\n",
              "      <td>0.5363</td>\n",
              "      <td>-1.7330</td>\n",
              "      <td>0.1450</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.2024</td>\n",
              "      <td>0.9865</td>\n",
              "      <td>-0.7805</td>\n",
              "      <td>0.9608</td>\n",
              "      <td>0.3440</td>\n",
              "      <td>2.7650</td>\n",
              "      <td>0.4925</td>\n",
              "      <td>0.6698</td>\n",
              "      <td>0.2374</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.8771</td>\n",
              "      <td>-2.6560</td>\n",
              "      <td>-0.2000</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.6797</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>-0.0927</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3360</td>\n",
              "      <td>-0.6136</td>\n",
              "      <td>0.5011</td>\n",
              "      <td>0.9261</td>\n",
              "      <td>0.4419</td>\n",
              "      <td>0.0295</td>\n",
              "      <td>0.4220</td>\n",
              "      <td>0.4677</td>\n",
              "      <td>-0.1184</td>\n",
              "      <td>0.4524</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.1356</td>\n",
              "      <td>-0.5801</td>\n",
              "      <td>0.0411</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>-0.0270</td>\n",
              "      <td>-0.4194</td>\n",
              "      <td>0.7403</td>\n",
              "      <td>-0.6793</td>\n",
              "      <td>-0.1423</td>\n",
              "      <td>0.7307</td>\n",
              "      <td>0.7946</td>\n",
              "      <td>-0.0650</td>\n",
              "      <td>0.9038</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.9676</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.5187</td>\n",
              "      <td>-0.1105</td>\n",
              "      <td>0.4258</td>\n",
              "      <td>-0.2012</td>\n",
              "      <td>0.1506</td>\n",
              "      <td>1.5230</td>\n",
              "      <td>0.7101</td>\n",
              "      <td>0.1732</td>\n",
              "      <td>0.7015</td>\n",
              "      <td>-0.6290</td>\n",
              "      <td>0.0740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23813</th>\n",
              "      <td>id_ffffdd77b</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>972f41291</td>\n",
              "      <td>-0.8598</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>-0.1361</td>\n",
              "      <td>0.7952</td>\n",
              "      <td>-0.3611</td>\n",
              "      <td>-3.6750</td>\n",
              "      <td>-1.2420</td>\n",
              "      <td>0.9146</td>\n",
              "      <td>3.0790</td>\n",
              "      <td>1.2460</td>\n",
              "      <td>1.9460</td>\n",
              "      <td>1.4370</td>\n",
              "      <td>2.9780</td>\n",
              "      <td>2.2370</td>\n",
              "      <td>-0.6818</td>\n",
              "      <td>0.6870</td>\n",
              "      <td>-1.1060</td>\n",
              "      <td>0.0182</td>\n",
              "      <td>-0.9247</td>\n",
              "      <td>-0.0738</td>\n",
              "      <td>-0.1919</td>\n",
              "      <td>-0.7722</td>\n",
              "      <td>-1.4050</td>\n",
              "      <td>-1.0050</td>\n",
              "      <td>-1.1170</td>\n",
              "      <td>-0.5293</td>\n",
              "      <td>-1.1720</td>\n",
              "      <td>-0.2885</td>\n",
              "      <td>0.1599</td>\n",
              "      <td>-0.4250</td>\n",
              "      <td>0.3591</td>\n",
              "      <td>-0.1420</td>\n",
              "      <td>-0.9530</td>\n",
              "      <td>-0.2005</td>\n",
              "      <td>-1.8340</td>\n",
              "      <td>...</td>\n",
              "      <td>-6.9170</td>\n",
              "      <td>-1.8640</td>\n",
              "      <td>-2.5090</td>\n",
              "      <td>-4.7130</td>\n",
              "      <td>-1.7250</td>\n",
              "      <td>-3.8650</td>\n",
              "      <td>-3.0800</td>\n",
              "      <td>-4.1530</td>\n",
              "      <td>-1.2030</td>\n",
              "      <td>-1.1690</td>\n",
              "      <td>-4.1460</td>\n",
              "      <td>-1.2670</td>\n",
              "      <td>-1.1300</td>\n",
              "      <td>-2.4390</td>\n",
              "      <td>0.1591</td>\n",
              "      <td>-2.2490</td>\n",
              "      <td>-2.5860</td>\n",
              "      <td>-1.9520</td>\n",
              "      <td>-2.1810</td>\n",
              "      <td>-4.6690</td>\n",
              "      <td>-3.9450</td>\n",
              "      <td>-2.9560</td>\n",
              "      <td>-2.7930</td>\n",
              "      <td>-2.1560</td>\n",
              "      <td>-2.4100</td>\n",
              "      <td>-1.8190</td>\n",
              "      <td>-3.3480</td>\n",
              "      <td>-0.1414</td>\n",
              "      <td>-2.6430</td>\n",
              "      <td>-2.5810</td>\n",
              "      <td>-3.3890</td>\n",
              "      <td>-1.7450</td>\n",
              "      <td>-6.6300</td>\n",
              "      <td>-4.0950</td>\n",
              "      <td>-7.3860</td>\n",
              "      <td>-1.4160</td>\n",
              "      <td>-3.5770</td>\n",
              "      <td>-0.4775</td>\n",
              "      <td>-2.1500</td>\n",
              "      <td>-4.2520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>23814 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...    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",
              "23809  id_fffb1ceed     com_droga     24   D2  ...  0.0631  0.9171  0.5258  0.4680\n",
              "23810  id_fffb70c0c     com_droga     24   D2  ... -0.2084 -0.1224 -0.2715  0.3689\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "23812  id_fffcb9e7c     com_droga     24   D1  ...  0.1732  0.7015 -0.6290  0.0740\n",
              "23813  id_ffffdd77b     com_droga     72   D1  ... -3.5770 -0.4775 -2.1500 -4.2520\n",
              "\n",
              "[23814 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SyfbzZqoonBK"
      },
      "source": [
        "## Removendo os Hífens das Colunas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "id": "HnGTfsRhFuKa",
        "outputId": "5fb741b1-3eeb-4f48-8275-e46ea70b6d0a"
      },
      "source": [
        "# Pega todas as linhas e somente as colunas dos g's e c's\n",
        "dados_gc = dados.loc[:, 'g-0':]\n",
        "dados_gc"
      ],
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></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",
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              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
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              "      <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",
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              "      <th>g-26</th>\n",
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              "      <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>g-35</th>\n",
              "      <th>g-36</th>\n",
              "      <th>g-37</th>\n",
              "      <th>g-38</th>\n",
              "      <th>g-39</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>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>0.2198</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.5055</td>\n",
              "      <td>-0.5119</td>\n",
              "      <td>-0.2162</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>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>-0.2102</td>\n",
              "      <td>0.1656</td>\n",
              "      <td>0.5300</td>\n",
              "      <td>-0.2568</td>\n",
              "      <td>-0.0455</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>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>-1.1800</td>\n",
              "      <td>0.1256</td>\n",
              "      <td>-0.1219</td>\n",
              "      <td>5.4470</td>\n",
              "      <td>1.0310</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>-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>-1.6740</td>\n",
              "      <td>-1.6720</td>\n",
              "      <td>-1.2690</td>\n",
              "      <td>3.0900</td>\n",
              "      <td>-0.3814</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>-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>-0.7110</td>\n",
              "      <td>-1.4470</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.7888</td>\n",
              "      <td>-0.0848</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23809</th>\n",
              "      <td>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>-0.1736</td>\n",
              "      <td>0.3686</td>\n",
              "      <td>-0.1565</td>\n",
              "      <td>-0.7362</td>\n",
              "      <td>0.1318</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>-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>0.4626</td>\n",
              "      <td>0.0819</td>\n",
              "      <td>0.1586</td>\n",
              "      <td>1.2050</td>\n",
              "      <td>0.0384</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>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>-0.2355</td>\n",
              "      <td>-0.5222</td>\n",
              "      <td>-1.1470</td>\n",
              "      <td>0.2844</td>\n",
              "      <td>0.0813</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>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>1.8480</td>\n",
              "      <td>-2.7180</td>\n",
              "      <td>-5.3160</td>\n",
              "      <td>-1.0750</td>\n",
              "      <td>-0.1437</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>-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>-0.5768</td>\n",
              "      <td>0.5145</td>\n",
              "      <td>-0.9913</td>\n",
              "      <td>3.1350</td>\n",
              "      <td>-0.2644</td>\n",
              "      <td>...</td>\n",
              "      <td>-6.9170</td>\n",
              "      <td>-1.8640</td>\n",
              "      <td>-2.5090</td>\n",
              "      <td>-4.7130</td>\n",
              "      <td>-1.7250</td>\n",
              "      <td>-3.8650</td>\n",
              "      <td>-3.0800</td>\n",
              "      <td>-4.1530</td>\n",
              "      <td>-1.2030</td>\n",
              "      <td>-1.1690</td>\n",
              "      <td>-4.1460</td>\n",
              "      <td>-1.2670</td>\n",
              "      <td>-1.1300</td>\n",
              "      <td>-2.4390</td>\n",
              "      <td>0.1591</td>\n",
              "      <td>-2.2490</td>\n",
              "      <td>-2.5860</td>\n",
              "      <td>-1.9520</td>\n",
              "      <td>-2.1810</td>\n",
              "      <td>-4.6690</td>\n",
              "      <td>-3.9450</td>\n",
              "      <td>-2.9560</td>\n",
              "      <td>-2.7930</td>\n",
              "      <td>-2.1560</td>\n",
              "      <td>-2.4100</td>\n",
              "      <td>-1.8190</td>\n",
              "      <td>-3.3480</td>\n",
              "      <td>-0.1414</td>\n",
              "      <td>-2.6430</td>\n",
              "      <td>-2.5810</td>\n",
              "      <td>-3.3890</td>\n",
              "      <td>-1.7450</td>\n",
              "      <td>-6.6300</td>\n",
              "      <td>-4.0950</td>\n",
              "      <td>-7.3860</td>\n",
              "      <td>-1.4160</td>\n",
              "      <td>-3.5770</td>\n",
              "      <td>-0.4775</td>\n",
              "      <td>-2.1500</td>\n",
              "      <td>-4.2520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>23814 rows × 872 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "          g-0     g-1     g-2     g-3  ...    c-96    c-97    c-98    c-99\n",
              "0      1.0620  0.5577 -0.2479 -0.6208  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1      0.0743  0.4087  0.2991  0.0604  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2      0.6280  0.5817  1.5540 -0.0764  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "3     -0.5138 -0.2491 -0.2656  0.5288  ... -1.6210 -0.8784 -0.3876 -0.8154\n",
              "4     -0.3254 -0.4009  0.9700  0.6919  ...  0.1094  0.2885 -0.3786  0.7125\n",
              "...       ...     ...     ...     ...  ...     ...     ...     ...     ...\n",
              "23809  0.1394 -0.0636 -0.1112 -0.5080  ...  0.0631  0.9171  0.5258  0.4680\n",
              "23810 -1.3260  0.3478 -0.3743  0.9905  ... -0.2084 -0.1224 -0.2715  0.3689\n",
              "23811  0.3942  0.3756  0.3109 -0.7389  ...  0.2256  0.7592  0.6656  0.3808\n",
              "23812  0.6660  0.2324  0.4392  0.2044  ...  0.1732  0.7015 -0.6290  0.0740\n",
              "23813 -0.8598  1.0240 -0.1361  0.7952  ... -3.5770 -0.4775 -2.1500 -4.2520\n",
              "\n",
              "[23814 rows x 872 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GWplUxttPoVu",
        "outputId": "8d32b94e-17d5-4cc9-9db8-83e4fc52e81a"
      },
      "source": [
        "dados_gc.columns"
      ],
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['g-0', 'g-1', 'g-2', 'g-3', 'g-4', 'g-5', 'g-6', 'g-7', 'g-8', 'g-9',\n",
              "       ...\n",
              "       'c-90', 'c-91', 'c-92', 'c-93', 'c-94', 'c-95', 'c-96', 'c-97', 'c-98',\n",
              "       'c-99'],\n",
              "      dtype='object', length=872)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kWxDBg0FPoMS"
      },
      "source": [
        "i = 0\n",
        "for i in range(len(dados_gc.columns)):\n",
        "  dados_gc.rename(columns={dados_gc.columns[i] : dados_gc.columns[i].replace('-', '')}, inplace=True)"
      ],
      "execution_count": 101,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "k3s6dcbbStiB",
        "outputId": "f475a446-2d1e-492f-e0af-e8327445b4d2"
      },
      "source": [
        "dados_gc.head()"
      ],
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
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              "      <th>c63</th>\n",
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              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
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              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>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>0.2198</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.5055</td>\n",
              "      <td>-0.5119</td>\n",
              "      <td>-0.2162</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>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>-0.2102</td>\n",
              "      <td>0.1656</td>\n",
              "      <td>0.5300</td>\n",
              "      <td>-0.2568</td>\n",
              "      <td>-0.0455</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>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>-1.1800</td>\n",
              "      <td>0.1256</td>\n",
              "      <td>-0.1219</td>\n",
              "      <td>5.4470</td>\n",
              "      <td>1.0310</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>-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>-1.6740</td>\n",
              "      <td>-1.6720</td>\n",
              "      <td>-1.2690</td>\n",
              "      <td>3.0900</td>\n",
              "      <td>-0.3814</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>-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>-0.7110</td>\n",
              "      <td>-1.4470</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.7888</td>\n",
              "      <td>-0.0848</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 × 872 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       g0      g1      g2      g3  ...     c96     c97     c98     c99\n",
              "0  1.0620  0.5577 -0.2479 -0.6208  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1  0.0743  0.4087  0.2991  0.0604  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2  0.6280  0.5817  1.5540 -0.0764  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "3 -0.5138 -0.2491 -0.2656  0.5288  ... -1.6210 -0.8784 -0.3876 -0.8154\n",
              "4 -0.3254 -0.4009  0.9700  0.6919  ...  0.1094  0.2885 -0.3786  0.7125\n",
              "\n",
              "[5 rows x 872 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 102
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qkatdMs8Ubfi",
        "outputId": "071460b1-c963-4a52-bbe2-ebb9c52e05b0"
      },
      "source": [
        "dados_gc.query('g0 > 0').shape"
      ],
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(11769, 872)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 109
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gZkn1eqpPilo"
      },
      "source": [
        "# Desafios"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TZ8V8Ge4TV1Q"
      },
      "source": [
        "###Desafio 01: Investigar por que a classe tratamento é tão desbalanceada?\n",
        "\n",
        "###Dssafio 02: Plotar as 5 últimas linhas da tabela\n",
        "\n",
        "###Desafio 03: Proporção das classes tratamento.\n",
        "\n",
        "###Desafio 04: Quantos tipos de drogas foram investigados.\n",
        "\n",
        "###Desafio 05: Procurar na documentação o método query(pandas). \n",
        "\n",
        "###Desafio 06: Renomear as colunas tirando o hífen (Prejudica o método 'query'). \n",
        "\n",
        "###Desafio 07: Deixar os gráficos bonitões. (Matplotlib.pyplot)\n",
        "\n",
        "###Desafio 08: Resumo do que você aprendeu com os dados"
      ]
    }
  ]
}