Desafios_aula02respostas.ipynb

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  "metadata": {
    "colab": {
      "name": "Desafios_aula02.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "X_Lg2XTu20ND"
      ],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_SZO5ihDniov"
      },
      "source": [
        "#Aulas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 422
        },
        "id": "n4nsCvloshsm",
        "outputId": "bc13f32a-e33d-4b10-ba0c-a509b7af9e71"
      },
      "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": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
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              "      <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",
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              "      <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",
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              "    <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": 117
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 244
        },
        "id": "ongQ8MkFsnWY",
        "outputId": "c4695411-bfee-4162-9859-984d1332f820"
      },
      "source": [
        "dados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>droga</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4805</td>\n",
              "      <td>0.4965</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.1220</td>\n",
              "      <td>-0.3752</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id tratamento  tempo dose  ...    c-96    c-97    c-98    c-99\n",
              "0  id_000644bb2  com_droga     24   D1  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1  id_000779bfc  com_droga     72   D1  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2  id_000a6266a  com_droga     48   D1  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "3  id_0015fd391  com_droga     48   D1  ... -1.6210 -0.8784 -0.3876 -0.8154\n",
              "4  id_001626bd3  com_droga     72   D2  ...  0.1094  0.2885 -0.3786  0.7125\n",
              "\n",
              "[5 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 118
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q_5RP0HKs1Sy",
        "outputId": "790ed7ed-54f5-4aa6-a979-7f366f54c8e8"
      },
      "source": [
        "dados.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(23814, 877)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a8Og_8PIwdAS",
        "outputId": "d2a3d23a-1258-4673-ad9b-3ae5d4d3082c"
      },
      "source": [
        "dados['tratamento']"
      ],
      "execution_count": null,
      "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": 120
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_RkLWqqrwtJG",
        "outputId": "ed16d971-047f-4ce1-de82-0e954bfd1d49"
      },
      "source": [
        "dados['tratamento'].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['com_droga', 'com_controle'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 121
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IOPFkJW5w5i-",
        "outputId": "1716ffa3-2f05-4ea0-c71a-3cd6fe375e61"
      },
      "source": [
        "dados['tempo'].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([24, 72, 48])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 122
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2UWEVupCx9M7",
        "outputId": "83e27927-11d5-4de7-ed42-6ce90eb7d00c"
      },
      "source": [
        "dados['dose'].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['D1', 'D2'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 123
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p1NaXGzCySfP",
        "outputId": "d5d2ae50-365c-43f0-daac-672df59be699"
      },
      "source": [
        "dados['droga'].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['b68db1d53', 'df89a8e5a', '18bb41b2c', ..., '573c787a2',\n",
              "       'b2fe3eca7', 'dd4a96d16'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 124
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CgHdbkO9ye6g",
        "outputId": "735f596f-7af9-479f-f61e-225be815d784"
      },
      "source": [
        "dados['g-0'].unique()"
      ],
      "execution_count": null,
      "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": 125
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pvSIUn9_zTWH",
        "outputId": "66e12cca-cc2a-4e9a-dcf9-238abbe69e50"
      },
      "source": [
        "dados['tratamento'].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "com_droga       21948\n",
              "com_controle     1866\n",
              "Name: tratamento, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 126
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8F1qPq6h2WBl",
        "outputId": "79571cca-a7a6-4ce8-9e9d-170cdbd81d80"
      },
      "source": [
        "dados['dose'].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "D1    12147\n",
              "D2    11667\n",
              "Name: dose, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 127
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1sX66gG249OZ",
        "outputId": "8e50380c-dc29-4da4-ea6c-236432b3597a"
      },
      "source": [
        "dados['tratamento'].value_counts(normalize = True)"
      ],
      "execution_count": null,
      "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": 128
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wrLfRXx65NPP",
        "outputId": "b3bee782-5da1-4e92-e767-40eaa471c605"
      },
      "source": [
        "dados['dose'].value_counts(normalize = True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "D1    0.510078\n",
              "D2    0.489922\n",
              "Name: dose, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 129
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "LYiMo76m5bnS",
        "outputId": "f4617319-4f15-4066-a903-d1efe05e7119"
      },
      "source": [
        "dados['tratamento'].value_counts().plot.pie()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c7a9a890>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 130
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "qmBQF9kx5uIc",
        "outputId": "9bc9da73-fe03-4458-cea7-80ed73c4eef1"
      },
      "source": [
        "dados['tempo'].value_counts().plot.pie()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c6a13950>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 131
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "TJ0MjBYZ6LOI",
        "outputId": "687d2036-25e0-49fc-a16b-a220fba92a5d"
      },
      "source": [
        "dados['tempo'].value_counts().plot.bar()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c70f1310>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 132
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 244
        },
        "id": "_igXHK3A8wQr",
        "outputId": "a482d982-e10a-41ff-8f84-6f5bf02d9608"
      },
      "source": [
        "dados_filtrados = dados[dados['g-0'] > 0]\n",
        "dados_filtrados.head()"
      ],
      "execution_count": null,
      "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": 133
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 422
        },
        "id": "hB3O-zZW9ZYw",
        "outputId": "09616eb6-5f4f-4d46-ea53-14896bc84233"
      },
      "source": [
        "dados"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>droga</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4805</td>\n",
              "      <td>0.4965</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.1220</td>\n",
              "      <td>-0.3752</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>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": 134
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CFse2h0Vcrp4"
      },
      "source": [
        "mapa = {'droga': 'composto'}\n",
        "dados.rename(columns=mapa, inplace=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 244
        },
        "id": "VX73K_tLcoQg",
        "outputId": "f2123930-dc44-40e0-d90c-f9f81d911af2"
      },
      "source": [
        "dados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4805</td>\n",
              "      <td>0.4965</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.1220</td>\n",
              "      <td>-0.3752</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id tratamento  tempo dose  ...    c-96    c-97    c-98    c-99\n",
              "0  id_000644bb2  com_droga     24   D1  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1  id_000779bfc  com_droga     72   D1  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2  id_000a6266a  com_droga     48   D1  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "3  id_0015fd391  com_droga     48   D1  ... -1.6210 -0.8784 -0.3876 -0.8154\n",
              "4  id_001626bd3  com_droga     72   D2  ...  0.1094  0.2885 -0.3786  0.7125\n",
              "\n",
              "[5 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 136
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D5hK5mcVej_G"
      },
      "source": [
        "cod_compostos = dados['composto'].value_counts().index[0:5]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LgrRw3eSfLYu",
        "outputId": "3b9ee242-0f80-4f46-c3d7-a1e4b2eb7a28"
      },
      "source": [
        "cod_compostos"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['cacb2b860', '87d714366', '9f80f3f77', '8b87a7a83', '5628cb3ee'], dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 138
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 422
        },
        "id": "_GlSwTMGfpFs",
        "outputId": "650b3dbe-c859-49ac-9ac7-3178bdc6e311"
      },
      "source": [
        "dados.query('composto in @cod_compostos')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>id_0020d0484</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.2711</td>\n",
              "      <td>0.5133</td>\n",
              "      <td>-0.1327</td>\n",
              "      <td>2.5950</td>\n",
              "      <td>0.6980</td>\n",
              "      <td>0.5846</td>\n",
              "      <td>-0.2633</td>\n",
              "      <td>-2.1490</td>\n",
              "      <td>0.4881</td>\n",
              "      <td>1.4750</td>\n",
              "      <td>-0.0488</td>\n",
              "      <td>-0.0561</td>\n",
              "      <td>0.1641</td>\n",
              "      <td>0.1749</td>\n",
              "      <td>-0.3464</td>\n",
              "      <td>-0.1811</td>\n",
              "      <td>0.5685</td>\n",
              "      <td>1.2970</td>\n",
              "      <td>1.0510</td>\n",
              "      <td>-0.9585</td>\n",
              "      <td>0.7911</td>\n",
              "      <td>-0.2991</td>\n",
              "      <td>2.7420</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>-1.0240</td>\n",
              "      <td>0.7268</td>\n",
              "      <td>0.1590</td>\n",
              "      <td>-1.9730</td>\n",
              "      <td>1.1340</td>\n",
              "      <td>-2.5720</td>\n",
              "      <td>0.2068</td>\n",
              "      <td>0.9992</td>\n",
              "      <td>-0.1958</td>\n",
              "      <td>0.2262</td>\n",
              "      <td>1.0140</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2623</td>\n",
              "      <td>-0.5500</td>\n",
              "      <td>-0.0530</td>\n",
              "      <td>0.2077</td>\n",
              "      <td>-0.0825</td>\n",
              "      <td>0.2156</td>\n",
              "      <td>0.8142</td>\n",
              "      <td>1.0990</td>\n",
              "      <td>1.0860</td>\n",
              "      <td>0.4011</td>\n",
              "      <td>-0.1342</td>\n",
              "      <td>0.4653</td>\n",
              "      <td>-0.1104</td>\n",
              "      <td>0.3935</td>\n",
              "      <td>1.2370</td>\n",
              "      <td>-0.5072</td>\n",
              "      <td>0.0351</td>\n",
              "      <td>0.5084</td>\n",
              "      <td>-0.1248</td>\n",
              "      <td>0.4351</td>\n",
              "      <td>0.1389</td>\n",
              "      <td>0.6726</td>\n",
              "      <td>0.6070</td>\n",
              "      <td>0.3431</td>\n",
              "      <td>-0.4116</td>\n",
              "      <td>0.1194</td>\n",
              "      <td>0.3420</td>\n",
              "      <td>0.1331</td>\n",
              "      <td>0.8541</td>\n",
              "      <td>0.6282</td>\n",
              "      <td>0.3230</td>\n",
              "      <td>-0.4140</td>\n",
              "      <td>0.2532</td>\n",
              "      <td>0.0513</td>\n",
              "      <td>0.8600</td>\n",
              "      <td>1.4250</td>\n",
              "      <td>0.6633</td>\n",
              "      <td>0.4562</td>\n",
              "      <td>-0.9622</td>\n",
              "      <td>0.0260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>id_002fb9c19</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>87d714366</td>\n",
              "      <td>8.7380</td>\n",
              "      <td>0.1914</td>\n",
              "      <td>2.4380</td>\n",
              "      <td>-0.2930</td>\n",
              "      <td>3.2010</td>\n",
              "      <td>1.4910</td>\n",
              "      <td>5.3920</td>\n",
              "      <td>-1.0420</td>\n",
              "      <td>-8.4860</td>\n",
              "      <td>-2.5790</td>\n",
              "      <td>-6.7470</td>\n",
              "      <td>3.6150</td>\n",
              "      <td>-1.4510</td>\n",
              "      <td>0.6909</td>\n",
              "      <td>-0.7623</td>\n",
              "      <td>-2.9400</td>\n",
              "      <td>-9.2850</td>\n",
              "      <td>-6.7110</td>\n",
              "      <td>-0.4195</td>\n",
              "      <td>1.1600</td>\n",
              "      <td>-1.3180</td>\n",
              "      <td>1.3660</td>\n",
              "      <td>-1.4020</td>\n",
              "      <td>-2.6220</td>\n",
              "      <td>0.7204</td>\n",
              "      <td>-2.5930</td>\n",
              "      <td>-4.0630</td>\n",
              "      <td>-0.8282</td>\n",
              "      <td>-3.5000</td>\n",
              "      <td>0.9206</td>\n",
              "      <td>-5.1450</td>\n",
              "      <td>9.8040</td>\n",
              "      <td>-2.6840</td>\n",
              "      <td>-2.4390</td>\n",
              "      <td>-0.1427</td>\n",
              "      <td>...</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-9.5910</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-8.5110</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-8.8870</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-4.9020</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-5.5520</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.7960</td>\n",
              "      <td>-8.1770</td>\n",
              "      <td>-9.8990</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-6.7840</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>id_0054388ec</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.6696</td>\n",
              "      <td>-0.2718</td>\n",
              "      <td>-1.2230</td>\n",
              "      <td>-0.6226</td>\n",
              "      <td>-0.7220</td>\n",
              "      <td>0.1588</td>\n",
              "      <td>0.7785</td>\n",
              "      <td>0.7062</td>\n",
              "      <td>-0.7951</td>\n",
              "      <td>1.3770</td>\n",
              "      <td>0.2856</td>\n",
              "      <td>-0.8331</td>\n",
              "      <td>0.3879</td>\n",
              "      <td>1.3290</td>\n",
              "      <td>-0.4746</td>\n",
              "      <td>0.0857</td>\n",
              "      <td>-0.2745</td>\n",
              "      <td>-0.1093</td>\n",
              "      <td>0.2603</td>\n",
              "      <td>0.7386</td>\n",
              "      <td>-0.6665</td>\n",
              "      <td>-1.6520</td>\n",
              "      <td>-0.9262</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.6310</td>\n",
              "      <td>-0.2933</td>\n",
              "      <td>0.2043</td>\n",
              "      <td>-2.2070</td>\n",
              "      <td>0.1383</td>\n",
              "      <td>-0.4966</td>\n",
              "      <td>0.6922</td>\n",
              "      <td>-0.4077</td>\n",
              "      <td>0.2303</td>\n",
              "      <td>-0.0456</td>\n",
              "      <td>-0.7447</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6976</td>\n",
              "      <td>-0.0178</td>\n",
              "      <td>0.3768</td>\n",
              "      <td>0.4318</td>\n",
              "      <td>-0.1051</td>\n",
              "      <td>0.3933</td>\n",
              "      <td>-0.3189</td>\n",
              "      <td>0.4128</td>\n",
              "      <td>-0.2116</td>\n",
              "      <td>-1.0410</td>\n",
              "      <td>0.7798</td>\n",
              "      <td>0.1579</td>\n",
              "      <td>1.7250</td>\n",
              "      <td>1.4490</td>\n",
              "      <td>0.9117</td>\n",
              "      <td>-0.0754</td>\n",
              "      <td>-0.8396</td>\n",
              "      <td>0.7640</td>\n",
              "      <td>1.2080</td>\n",
              "      <td>1.1890</td>\n",
              "      <td>0.2114</td>\n",
              "      <td>0.6335</td>\n",
              "      <td>0.3265</td>\n",
              "      <td>-0.1056</td>\n",
              "      <td>0.5478</td>\n",
              "      <td>0.7477</td>\n",
              "      <td>1.2340</td>\n",
              "      <td>0.5035</td>\n",
              "      <td>-0.6591</td>\n",
              "      <td>0.3023</td>\n",
              "      <td>0.6171</td>\n",
              "      <td>0.6405</td>\n",
              "      <td>0.5429</td>\n",
              "      <td>0.3562</td>\n",
              "      <td>1.3290</td>\n",
              "      <td>0.5573</td>\n",
              "      <td>0.8837</td>\n",
              "      <td>0.5534</td>\n",
              "      <td>0.8976</td>\n",
              "      <td>1.0050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>id_0079af0fb</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.1636</td>\n",
              "      <td>-1.8230</td>\n",
              "      <td>-0.5211</td>\n",
              "      <td>0.3054</td>\n",
              "      <td>-1.1280</td>\n",
              "      <td>0.6041</td>\n",
              "      <td>0.3856</td>\n",
              "      <td>-0.1670</td>\n",
              "      <td>-0.5400</td>\n",
              "      <td>0.2721</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>0.0761</td>\n",
              "      <td>-0.4054</td>\n",
              "      <td>2.9760</td>\n",
              "      <td>-0.7679</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>0.0752</td>\n",
              "      <td>0.5943</td>\n",
              "      <td>0.4266</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.0410</td>\n",
              "      <td>-0.1131</td>\n",
              "      <td>0.6593</td>\n",
              "      <td>-0.6890</td>\n",
              "      <td>0.5115</td>\n",
              "      <td>-0.2512</td>\n",
              "      <td>-0.8775</td>\n",
              "      <td>-1.3810</td>\n",
              "      <td>0.1419</td>\n",
              "      <td>-0.0363</td>\n",
              "      <td>0.2559</td>\n",
              "      <td>2.5290</td>\n",
              "      <td>0.2853</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.3626</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.3420</td>\n",
              "      <td>0.2815</td>\n",
              "      <td>-0.7493</td>\n",
              "      <td>-0.2701</td>\n",
              "      <td>0.1205</td>\n",
              "      <td>0.2396</td>\n",
              "      <td>0.3506</td>\n",
              "      <td>-0.9233</td>\n",
              "      <td>0.2490</td>\n",
              "      <td>-0.0824</td>\n",
              "      <td>0.4841</td>\n",
              "      <td>1.1940</td>\n",
              "      <td>-1.1650</td>\n",
              "      <td>-0.4853</td>\n",
              "      <td>1.1080</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>0.7438</td>\n",
              "      <td>0.2050</td>\n",
              "      <td>-0.2761</td>\n",
              "      <td>-0.1748</td>\n",
              "      <td>0.3385</td>\n",
              "      <td>-0.3500</td>\n",
              "      <td>-0.0309</td>\n",
              "      <td>-0.0409</td>\n",
              "      <td>-0.0735</td>\n",
              "      <td>0.2732</td>\n",
              "      <td>-1.2100</td>\n",
              "      <td>0.0089</td>\n",
              "      <td>0.0317</td>\n",
              "      <td>0.4721</td>\n",
              "      <td>-0.3880</td>\n",
              "      <td>-0.6828</td>\n",
              "      <td>-0.6594</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.3571</td>\n",
              "      <td>-0.1319</td>\n",
              "      <td>0.2187</td>\n",
              "      <td>0.0737</td>\n",
              "      <td>0.6498</td>\n",
              "      <td>-1.4820</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>id_007bfbb91</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-1.3200</td>\n",
              "      <td>-1.7340</td>\n",
              "      <td>-0.0741</td>\n",
              "      <td>1.5440</td>\n",
              "      <td>-1.8290</td>\n",
              "      <td>-0.0951</td>\n",
              "      <td>0.3829</td>\n",
              "      <td>-1.8700</td>\n",
              "      <td>-0.0324</td>\n",
              "      <td>2.7670</td>\n",
              "      <td>-0.0438</td>\n",
              "      <td>-0.0147</td>\n",
              "      <td>0.1276</td>\n",
              "      <td>0.2968</td>\n",
              "      <td>-0.0704</td>\n",
              "      <td>-0.3767</td>\n",
              "      <td>2.5790</td>\n",
              "      <td>0.4069</td>\n",
              "      <td>-0.3868</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>1.8180</td>\n",
              "      <td>-2.9390</td>\n",
              "      <td>-0.1150</td>\n",
              "      <td>-0.8009</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>0.5412</td>\n",
              "      <td>-0.0804</td>\n",
              "      <td>-0.4444</td>\n",
              "      <td>2.9230</td>\n",
              "      <td>2.8270</td>\n",
              "      <td>-0.3437</td>\n",
              "      <td>1.6570</td>\n",
              "      <td>-1.9200</td>\n",
              "      <td>0.3442</td>\n",
              "      <td>1.7160</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4009</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2789</td>\n",
              "      <td>0.4465</td>\n",
              "      <td>0.9492</td>\n",
              "      <td>0.6385</td>\n",
              "      <td>1.5510</td>\n",
              "      <td>-0.1220</td>\n",
              "      <td>0.6688</td>\n",
              "      <td>0.4396</td>\n",
              "      <td>0.6947</td>\n",
              "      <td>0.9761</td>\n",
              "      <td>1.2430</td>\n",
              "      <td>1.4770</td>\n",
              "      <td>-0.0081</td>\n",
              "      <td>1.0040</td>\n",
              "      <td>1.4420</td>\n",
              "      <td>-0.3482</td>\n",
              "      <td>0.3297</td>\n",
              "      <td>1.2070</td>\n",
              "      <td>0.0524</td>\n",
              "      <td>0.5346</td>\n",
              "      <td>0.7643</td>\n",
              "      <td>0.4067</td>\n",
              "      <td>0.3817</td>\n",
              "      <td>0.4566</td>\n",
              "      <td>0.7736</td>\n",
              "      <td>0.5316</td>\n",
              "      <td>0.2790</td>\n",
              "      <td>0.9735</td>\n",
              "      <td>0.7412</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>0.7393</td>\n",
              "      <td>1.1020</td>\n",
              "      <td>0.3786</td>\n",
              "      <td>0.2636</td>\n",
              "      <td>-0.5751</td>\n",
              "      <td>0.3362</td>\n",
              "      <td>0.8543</td>\n",
              "      <td>0.9180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23793</th>\n",
              "      <td>id_ffd26f361</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.6008</td>\n",
              "      <td>0.2781</td>\n",
              "      <td>-0.3319</td>\n",
              "      <td>-0.8782</td>\n",
              "      <td>0.9281</td>\n",
              "      <td>0.7535</td>\n",
              "      <td>0.5971</td>\n",
              "      <td>1.6350</td>\n",
              "      <td>-0.3146</td>\n",
              "      <td>0.4984</td>\n",
              "      <td>-1.1890</td>\n",
              "      <td>0.3772</td>\n",
              "      <td>-0.8196</td>\n",
              "      <td>0.1083</td>\n",
              "      <td>-2.0350</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.7586</td>\n",
              "      <td>-0.4024</td>\n",
              "      <td>-0.0449</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.2358</td>\n",
              "      <td>0.7919</td>\n",
              "      <td>-0.8775</td>\n",
              "      <td>0.4232</td>\n",
              "      <td>1.8460</td>\n",
              "      <td>-2.0940</td>\n",
              "      <td>0.1438</td>\n",
              "      <td>-0.6604</td>\n",
              "      <td>0.7243</td>\n",
              "      <td>0.0338</td>\n",
              "      <td>-0.0182</td>\n",
              "      <td>-0.2022</td>\n",
              "      <td>0.8827</td>\n",
              "      <td>0.3147</td>\n",
              "      <td>-0.9263</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1934</td>\n",
              "      <td>1.2240</td>\n",
              "      <td>-0.1178</td>\n",
              "      <td>0.1459</td>\n",
              "      <td>-0.1242</td>\n",
              "      <td>0.3106</td>\n",
              "      <td>-0.7959</td>\n",
              "      <td>0.5681</td>\n",
              "      <td>0.3663</td>\n",
              "      <td>0.4874</td>\n",
              "      <td>-0.0548</td>\n",
              "      <td>0.1810</td>\n",
              "      <td>1.3470</td>\n",
              "      <td>1.6210</td>\n",
              "      <td>-0.8260</td>\n",
              "      <td>0.3377</td>\n",
              "      <td>0.3264</td>\n",
              "      <td>0.9241</td>\n",
              "      <td>0.3012</td>\n",
              "      <td>1.2980</td>\n",
              "      <td>-0.2789</td>\n",
              "      <td>0.7019</td>\n",
              "      <td>-0.3528</td>\n",
              "      <td>0.7383</td>\n",
              "      <td>1.0300</td>\n",
              "      <td>0.6527</td>\n",
              "      <td>1.6750</td>\n",
              "      <td>-0.5046</td>\n",
              "      <td>0.2942</td>\n",
              "      <td>0.2950</td>\n",
              "      <td>1.2470</td>\n",
              "      <td>0.9569</td>\n",
              "      <td>-0.2065</td>\n",
              "      <td>-0.4918</td>\n",
              "      <td>0.7863</td>\n",
              "      <td>0.0504</td>\n",
              "      <td>0.8813</td>\n",
              "      <td>0.7757</td>\n",
              "      <td>-0.5272</td>\n",
              "      <td>0.7082</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23802</th>\n",
              "      <td>id_fff3976bd</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>87d714366</td>\n",
              "      <td>3.2890</td>\n",
              "      <td>2.1270</td>\n",
              "      <td>0.9770</td>\n",
              "      <td>2.0490</td>\n",
              "      <td>2.3170</td>\n",
              "      <td>-0.5355</td>\n",
              "      <td>-0.6357</td>\n",
              "      <td>-6.9060</td>\n",
              "      <td>-4.4830</td>\n",
              "      <td>-2.8400</td>\n",
              "      <td>-5.3310</td>\n",
              "      <td>0.6547</td>\n",
              "      <td>-2.2080</td>\n",
              "      <td>3.6030</td>\n",
              "      <td>0.6380</td>\n",
              "      <td>-2.1280</td>\n",
              "      <td>-3.1680</td>\n",
              "      <td>-4.2180</td>\n",
              "      <td>-0.3170</td>\n",
              "      <td>0.2140</td>\n",
              "      <td>-1.7660</td>\n",
              "      <td>-1.9700</td>\n",
              "      <td>-1.4820</td>\n",
              "      <td>-1.3710</td>\n",
              "      <td>-0.2628</td>\n",
              "      <td>-0.5276</td>\n",
              "      <td>-2.4160</td>\n",
              "      <td>-0.4638</td>\n",
              "      <td>-3.8630</td>\n",
              "      <td>-0.8880</td>\n",
              "      <td>-1.9850</td>\n",
              "      <td>2.0530</td>\n",
              "      <td>-1.4700</td>\n",
              "      <td>-3.3220</td>\n",
              "      <td>1.8800</td>\n",
              "      <td>...</td>\n",
              "      <td>-9.9170</td>\n",
              "      <td>-4.0200</td>\n",
              "      <td>-6.7560</td>\n",
              "      <td>-9.9170</td>\n",
              "      <td>-4.1240</td>\n",
              "      <td>-8.5110</td>\n",
              "      <td>-5.7500</td>\n",
              "      <td>-8.4760</td>\n",
              "      <td>-6.9470</td>\n",
              "      <td>-4.7650</td>\n",
              "      <td>-9.7690</td>\n",
              "      <td>-5.7900</td>\n",
              "      <td>-9.9170</td>\n",
              "      <td>-5.7450</td>\n",
              "      <td>-2.3570</td>\n",
              "      <td>-9.1190</td>\n",
              "      <td>-4.5980</td>\n",
              "      <td>-8.7760</td>\n",
              "      <td>-7.7980</td>\n",
              "      <td>-4.1620</td>\n",
              "      <td>-6.1510</td>\n",
              "      <td>-5.7400</td>\n",
              "      <td>-6.8700</td>\n",
              "      <td>-9.1000</td>\n",
              "      <td>-3.3360</td>\n",
              "      <td>-6.6420</td>\n",
              "      <td>-2.2750</td>\n",
              "      <td>-3.4720</td>\n",
              "      <td>-6.2670</td>\n",
              "      <td>-6.3980</td>\n",
              "      <td>-8.6300</td>\n",
              "      <td>-8.1490</td>\n",
              "      <td>-6.2900</td>\n",
              "      <td>-8.0970</td>\n",
              "      <td>-8.7330</td>\n",
              "      <td>-2.3780</td>\n",
              "      <td>-8.4480</td>\n",
              "      <td>-4.4550</td>\n",
              "      <td>-5.7930</td>\n",
              "      <td>-3.7000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23805</th>\n",
              "      <td>id_fff6df1c5</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>5628cb3ee</td>\n",
              "      <td>1.7380</td>\n",
              "      <td>-1.2900</td>\n",
              "      <td>-0.4533</td>\n",
              "      <td>-1.1640</td>\n",
              "      <td>-0.4841</td>\n",
              "      <td>-0.2392</td>\n",
              "      <td>-0.1774</td>\n",
              "      <td>-1.3980</td>\n",
              "      <td>-0.4059</td>\n",
              "      <td>0.1553</td>\n",
              "      <td>0.1083</td>\n",
              "      <td>-0.8020</td>\n",
              "      <td>-0.5039</td>\n",
              "      <td>-0.7167</td>\n",
              "      <td>-0.5016</td>\n",
              "      <td>-0.9369</td>\n",
              "      <td>-0.5864</td>\n",
              "      <td>-0.1009</td>\n",
              "      <td>0.8987</td>\n",
              "      <td>0.3389</td>\n",
              "      <td>-1.3460</td>\n",
              "      <td>-0.5087</td>\n",
              "      <td>-0.0892</td>\n",
              "      <td>-0.6559</td>\n",
              "      <td>0.0864</td>\n",
              "      <td>-0.6251</td>\n",
              "      <td>0.2471</td>\n",
              "      <td>-0.4523</td>\n",
              "      <td>-0.0389</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>0.0796</td>\n",
              "      <td>-0.2560</td>\n",
              "      <td>-0.7851</td>\n",
              "      <td>-0.1687</td>\n",
              "      <td>-1.2890</td>\n",
              "      <td>...</td>\n",
              "      <td>0.2866</td>\n",
              "      <td>0.3854</td>\n",
              "      <td>-0.4986</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.5843</td>\n",
              "      <td>0.0907</td>\n",
              "      <td>-0.9303</td>\n",
              "      <td>0.1981</td>\n",
              "      <td>0.6515</td>\n",
              "      <td>0.2877</td>\n",
              "      <td>0.4389</td>\n",
              "      <td>-0.3859</td>\n",
              "      <td>0.5203</td>\n",
              "      <td>-1.1070</td>\n",
              "      <td>2.3870</td>\n",
              "      <td>0.1820</td>\n",
              "      <td>-0.6434</td>\n",
              "      <td>-0.9722</td>\n",
              "      <td>-0.4200</td>\n",
              "      <td>-0.5693</td>\n",
              "      <td>1.0700</td>\n",
              "      <td>1.1110</td>\n",
              "      <td>-0.5117</td>\n",
              "      <td>-1.2130</td>\n",
              "      <td>0.3769</td>\n",
              "      <td>0.5296</td>\n",
              "      <td>1.0400</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>1.0150</td>\n",
              "      <td>-0.7669</td>\n",
              "      <td>0.2865</td>\n",
              "      <td>0.5974</td>\n",
              "      <td>-0.2727</td>\n",
              "      <td>0.1188</td>\n",
              "      <td>1.0770</td>\n",
              "      <td>-1.0250</td>\n",
              "      <td>0.1516</td>\n",
              "      <td>0.4503</td>\n",
              "      <td>-0.6312</td>\n",
              "      <td>-0.8302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6845</td>\n",
              "      <td>0.7127</td>\n",
              "      <td>0.7294</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>id_fffcb9e7c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.4392</td>\n",
              "      <td>0.2044</td>\n",
              "      <td>0.8531</td>\n",
              "      <td>-0.0343</td>\n",
              "      <td>0.0323</td>\n",
              "      <td>0.0463</td>\n",
              "      <td>0.4299</td>\n",
              "      <td>-0.7985</td>\n",
              "      <td>0.5742</td>\n",
              "      <td>0.1421</td>\n",
              "      <td>2.2700</td>\n",
              "      <td>0.2046</td>\n",
              "      <td>0.5363</td>\n",
              "      <td>-1.7330</td>\n",
              "      <td>0.1450</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.2024</td>\n",
              "      <td>0.9865</td>\n",
              "      <td>-0.7805</td>\n",
              "      <td>0.9608</td>\n",
              "      <td>0.3440</td>\n",
              "      <td>2.7650</td>\n",
              "      <td>0.4925</td>\n",
              "      <td>0.6698</td>\n",
              "      <td>0.2374</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.8771</td>\n",
              "      <td>-2.6560</td>\n",
              "      <td>-0.2000</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.6797</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>-0.0927</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3360</td>\n",
              "      <td>-0.6136</td>\n",
              "      <td>0.5011</td>\n",
              "      <td>0.9261</td>\n",
              "      <td>0.4419</td>\n",
              "      <td>0.0295</td>\n",
              "      <td>0.4220</td>\n",
              "      <td>0.4677</td>\n",
              "      <td>-0.1184</td>\n",
              "      <td>0.4524</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.1356</td>\n",
              "      <td>-0.5801</td>\n",
              "      <td>0.0411</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>-0.0270</td>\n",
              "      <td>-0.4194</td>\n",
              "      <td>0.7403</td>\n",
              "      <td>-0.6793</td>\n",
              "      <td>-0.1423</td>\n",
              "      <td>0.7307</td>\n",
              "      <td>0.7946</td>\n",
              "      <td>-0.0650</td>\n",
              "      <td>0.9038</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.9676</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.5187</td>\n",
              "      <td>-0.1105</td>\n",
              "      <td>0.4258</td>\n",
              "      <td>-0.2012</td>\n",
              "      <td>0.1506</td>\n",
              "      <td>1.5230</td>\n",
              "      <td>0.7101</td>\n",
              "      <td>0.1732</td>\n",
              "      <td>0.7015</td>\n",
              "      <td>-0.6290</td>\n",
              "      <td>0.0740</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3235 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...    c-96    c-97    c-98    c-99\n",
              "7      id_0020d0484     com_droga     48   D1  ...  0.6633  0.4562 -0.9622  0.0260\n",
              "16     id_002fb9c19     com_droga     48   D1  ... -9.9840 -9.9840 -9.9840 -6.7840\n",
              "25     id_0054388ec  com_controle     48   D1  ...  0.8837  0.5534  0.8976  1.0050\n",
              "38     id_0079af0fb  com_controle     24   D1  ...  0.2187  0.0737  0.6498 -1.4820\n",
              "40     id_007bfbb91  com_controle     24   D2  ... -0.5751  0.3362  0.8543  0.9180\n",
              "...             ...           ...    ...  ...  ...     ...     ...     ...     ...\n",
              "23793  id_ffd26f361  com_controle     48   D2  ...  0.8813  0.7757 -0.5272  0.7082\n",
              "23802  id_fff3976bd     com_droga     24   D1  ... -8.4480 -4.4550 -5.7930 -3.7000\n",
              "23805  id_fff6df1c5     com_droga     48   D2  ...  0.1516  0.4503 -0.6312 -0.8302\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "23812  id_fffcb9e7c     com_droga     24   D1  ...  0.1732  0.7015 -0.6290  0.0740\n",
              "\n",
              "[3235 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 139
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "id": "IePUr98kdgED",
        "outputId": "59cdc77a-1f47-4d2b-a971-6db2b09ac353"
      },
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "sns.set()\n",
        "plt.figure(figsize=(8, 6))\n",
        "ax = sns.countplot(x = 'composto', data=dados.query('composto in @cod_compostos'))\n",
        "ax.set_title('Top 5 compostos')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DkQ2wH9Gj-w7",
        "outputId": "b8654ea2-6f47-4bd5-e28e-2e2c46617c7b"
      },
      "source": [
        "len(dados['g-0'].unique())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "14367"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 141
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mCC5DpK1kmiX",
        "outputId": "782bd4d9-3d83-4dd2-f7ab-ea2bdc622fca"
      },
      "source": [
        "dados['g-0'].min()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-5.513"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 142
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qzH4Jl0OksuL",
        "outputId": "880142e8-9da5-48a2-8a71-07d80106f8bf"
      },
      "source": [
        "dados['g-0'].max()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "10.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 143
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "RnjRPpubk1z0",
        "outputId": "7e5a118a-2d9a-4481-e256-2920c53a7e7f"
      },
      "source": [
        "dados['g-0'].hist(bins = 100)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c68e3150>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 144
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "1_aedkvToYlB",
        "outputId": "74f6a2bf-a227-4233-e6b8-97739b8f0c09"
      },
      "source": [
        "dados['g-19'].hist(bins = 100)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c6791a10>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 145
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 333
        },
        "id": "Kv-2zPLBprgD",
        "outputId": "4bc4c2e5-5b9e-44d4-be8c-54a931d88e0e"
      },
      "source": [
        "dados.describe()"
      ],
      "execution_count": null,
      "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>tempo</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>g-35</th>\n",
              "      <th>g-36</th>\n",
              "      <th>g-37</th>\n",
              "      <th>g-38</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>count</th>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>48.020156</td>\n",
              "      <td>0.248366</td>\n",
              "      <td>-0.095684</td>\n",
              "      <td>0.152253</td>\n",
              "      <td>0.081971</td>\n",
              "      <td>0.057347</td>\n",
              "      <td>-0.138836</td>\n",
              "      <td>0.035961</td>\n",
              "      <td>-0.202651</td>\n",
              "      <td>-0.190083</td>\n",
              "      <td>0.119905</td>\n",
              "      <td>-0.123321</td>\n",
              "      <td>0.182307</td>\n",
              "      <td>0.143203</td>\n",
              "      <td>0.209402</td>\n",
              "      <td>-0.173884</td>\n",
              "      <td>-0.024432</td>\n",
              "      <td>0.126823</td>\n",
              "      <td>-0.146663</td>\n",
              "      <td>0.087687</td>\n",
              "      <td>-0.082982</td>\n",
              "      <td>-0.111908</td>\n",
              "      <td>-0.087379</td>\n",
              "      <td>0.047548</td>\n",
              "      <td>-0.117474</td>\n",
              "      <td>-0.113212</td>\n",
              "      <td>-0.052746</td>\n",
              "      <td>-0.091055</td>\n",
              "      <td>0.112176</td>\n",
              "      <td>-0.046458</td>\n",
              "      <td>-0.076239</td>\n",
              "      <td>-0.197699</td>\n",
              "      <td>0.382177</td>\n",
              "      <td>-0.189432</td>\n",
              "      <td>0.078791</td>\n",
              "      <td>-0.093312</td>\n",
              "      <td>0.135729</td>\n",
              "      <td>-0.188616</td>\n",
              "      <td>-0.606710</td>\n",
              "      <td>0.534425</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.517397</td>\n",
              "      <td>-0.360770</td>\n",
              "      <td>-0.435752</td>\n",
              "      <td>-0.613591</td>\n",
              "      <td>-0.402083</td>\n",
              "      <td>-0.619682</td>\n",
              "      <td>-0.452265</td>\n",
              "      <td>-0.497164</td>\n",
              "      <td>-0.413836</td>\n",
              "      <td>-0.277029</td>\n",
              "      <td>-0.547845</td>\n",
              "      <td>-0.358611</td>\n",
              "      <td>-0.442906</td>\n",
              "      <td>-0.475194</td>\n",
              "      <td>-0.010404</td>\n",
              "      <td>-0.467001</td>\n",
              "      <td>-0.276963</td>\n",
              "      <td>-0.455848</td>\n",
              "      <td>-0.412918</td>\n",
              "      <td>-0.456404</td>\n",
              "      <td>-0.472514</td>\n",
              "      <td>-0.505481</td>\n",
              "      <td>-0.492735</td>\n",
              "      <td>-0.446836</td>\n",
              "      <td>-0.463029</td>\n",
              "      <td>-0.409310</td>\n",
              "      <td>-0.333124</td>\n",
              "      <td>-0.295009</td>\n",
              "      <td>-0.328342</td>\n",
              "      <td>-0.401615</td>\n",
              "      <td>-0.469244</td>\n",
              "      <td>-0.461411</td>\n",
              "      <td>-0.513256</td>\n",
              "      <td>-0.500142</td>\n",
              "      <td>-0.507093</td>\n",
              "      <td>-0.353726</td>\n",
              "      <td>-0.463485</td>\n",
              "      <td>-0.378241</td>\n",
              "      <td>-0.470252</td>\n",
              "      <td>-0.301505</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>19.402807</td>\n",
              "      <td>1.393399</td>\n",
              "      <td>0.812363</td>\n",
              "      <td>1.035731</td>\n",
              "      <td>0.950012</td>\n",
              "      <td>1.032091</td>\n",
              "      <td>1.179388</td>\n",
              "      <td>0.882395</td>\n",
              "      <td>1.125494</td>\n",
              "      <td>1.749885</td>\n",
              "      <td>1.087180</td>\n",
              "      <td>1.291501</td>\n",
              "      <td>1.253604</td>\n",
              "      <td>1.234590</td>\n",
              "      <td>1.273068</td>\n",
              "      <td>1.247178</td>\n",
              "      <td>0.659839</td>\n",
              "      <td>1.418997</td>\n",
              "      <td>1.179688</td>\n",
              "      <td>0.743301</td>\n",
              "      <td>0.844796</td>\n",
              "      <td>1.219529</td>\n",
              "      <td>0.824401</td>\n",
              "      <td>0.924838</td>\n",
              "      <td>0.760159</td>\n",
              "      <td>1.203186</td>\n",
              "      <td>0.866977</td>\n",
              "      <td>1.103765</td>\n",
              "      <td>1.001687</td>\n",
              "      <td>1.027758</td>\n",
              "      <td>1.279399</td>\n",
              "      <td>1.302567</td>\n",
              "      <td>1.559174</td>\n",
              "      <td>0.933514</td>\n",
              "      <td>1.172270</td>\n",
              "      <td>1.174325</td>\n",
              "      <td>1.061719</td>\n",
              "      <td>1.397677</td>\n",
              "      <td>2.200277</td>\n",
              "      <td>2.003317</td>\n",
              "      <td>...</td>\n",
              "      <td>2.122318</td>\n",
              "      <td>1.710725</td>\n",
              "      <td>1.898871</td>\n",
              "      <td>2.307820</td>\n",
              "      <td>1.785055</td>\n",
              "      <td>2.225596</td>\n",
              "      <td>1.991021</td>\n",
              "      <td>2.063896</td>\n",
              "      <td>1.887001</td>\n",
              "      <td>1.459639</td>\n",
              "      <td>2.187835</td>\n",
              "      <td>1.730634</td>\n",
              "      <td>1.924716</td>\n",
              "      <td>2.021927</td>\n",
              "      <td>1.029820</td>\n",
              "      <td>2.004317</td>\n",
              "      <td>1.429340</td>\n",
              "      <td>1.924263</td>\n",
              "      <td>1.888788</td>\n",
              "      <td>1.832863</td>\n",
              "      <td>2.011396</td>\n",
              "      <td>2.091353</td>\n",
              "      <td>2.055624</td>\n",
              "      <td>1.987476</td>\n",
              "      <td>2.014045</td>\n",
              "      <td>1.883974</td>\n",
              "      <td>1.647241</td>\n",
              "      <td>1.634073</td>\n",
              "      <td>1.663170</td>\n",
              "      <td>1.832794</td>\n",
              "      <td>2.000488</td>\n",
              "      <td>2.042475</td>\n",
              "      <td>2.001714</td>\n",
              "      <td>2.107105</td>\n",
              "      <td>2.159589</td>\n",
              "      <td>1.629291</td>\n",
              "      <td>2.059725</td>\n",
              "      <td>1.703615</td>\n",
              "      <td>1.834828</td>\n",
              "      <td>1.407918</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>24.000000</td>\n",
              "      <td>-5.513000</td>\n",
              "      <td>-5.737000</td>\n",
              "      <td>-9.104000</td>\n",
              "      <td>-5.998000</td>\n",
              "      <td>-6.369000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-8.337000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-5.870000</td>\n",
              "      <td>-8.587000</td>\n",
              "      <td>-5.018000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-4.226000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-5.700000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-8.272000</td>\n",
              "      <td>-8.184000</td>\n",
              "      <td>-4.835000</td>\n",
              "      <td>-7.913000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-2.956000</td>\n",
              "      <td>-8.356000</td>\n",
              "      <td>-7.182000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.261000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.839000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-6.452000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.938000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>24.000000</td>\n",
              "      <td>-0.473075</td>\n",
              "      <td>-0.562200</td>\n",
              "      <td>-0.437750</td>\n",
              "      <td>-0.429575</td>\n",
              "      <td>-0.470925</td>\n",
              "      <td>-0.602225</td>\n",
              "      <td>-0.493900</td>\n",
              "      <td>-0.525175</td>\n",
              "      <td>-0.511675</td>\n",
              "      <td>-0.360200</td>\n",
              "      <td>-0.511475</td>\n",
              "      <td>-0.489675</td>\n",
              "      <td>-0.447500</td>\n",
              "      <td>-0.481200</td>\n",
              "      <td>-0.607975</td>\n",
              "      <td>-0.404150</td>\n",
              "      <td>-0.391950</td>\n",
              "      <td>-0.513775</td>\n",
              "      <td>-0.272200</td>\n",
              "      <td>-0.488675</td>\n",
              "      <td>-0.524600</td>\n",
              "      <td>-0.538900</td>\n",
              "      <td>-0.440375</td>\n",
              "      <td>-0.508900</td>\n",
              "      <td>-0.533900</td>\n",
              "      <td>-0.497700</td>\n",
              "      <td>-0.512875</td>\n",
              "      <td>-0.467800</td>\n",
              "      <td>-0.378300</td>\n",
              "      <td>-0.505750</td>\n",
              "      <td>-0.457975</td>\n",
              "      <td>-0.328200</td>\n",
              "      <td>-0.600500</td>\n",
              "      <td>-0.478700</td>\n",
              "      <td>-0.570525</td>\n",
              "      <td>-0.481800</td>\n",
              "      <td>-0.541950</td>\n",
              "      <td>-0.604100</td>\n",
              "      <td>-0.470250</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.588075</td>\n",
              "      <td>-0.564025</td>\n",
              "      <td>-0.561000</td>\n",
              "      <td>-0.583250</td>\n",
              "      <td>-0.566500</td>\n",
              "      <td>-0.603200</td>\n",
              "      <td>-0.541575</td>\n",
              "      <td>-0.560825</td>\n",
              "      <td>-0.555200</td>\n",
              "      <td>-0.534500</td>\n",
              "      <td>-0.569100</td>\n",
              "      <td>-0.558300</td>\n",
              "      <td>-0.573350</td>\n",
              "      <td>-0.594275</td>\n",
              "      <td>-0.389925</td>\n",
              "      <td>-0.551200</td>\n",
              "      <td>-0.544150</td>\n",
              "      <td>-0.575075</td>\n",
              "      <td>-0.568275</td>\n",
              "      <td>-0.582650</td>\n",
              "      <td>-0.558575</td>\n",
              "      <td>-0.562375</td>\n",
              "      <td>-0.572800</td>\n",
              "      <td>-0.561225</td>\n",
              "      <td>-0.560675</td>\n",
              "      <td>-0.560100</td>\n",
              "      <td>-0.533700</td>\n",
              "      <td>-0.504575</td>\n",
              "      <td>-0.544275</td>\n",
              "      <td>-0.569150</td>\n",
              "      <td>-0.566175</td>\n",
              "      <td>-0.565975</td>\n",
              "      <td>-0.589975</td>\n",
              "      <td>-0.568700</td>\n",
              "      <td>-0.563775</td>\n",
              "      <td>-0.567975</td>\n",
              "      <td>-0.552575</td>\n",
              "      <td>-0.561000</td>\n",
              "      <td>-0.592600</td>\n",
              "      <td>-0.562900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>48.000000</td>\n",
              "      <td>-0.008850</td>\n",
              "      <td>-0.046600</td>\n",
              "      <td>0.075200</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.026900</td>\n",
              "      <td>-0.015650</td>\n",
              "      <td>-0.000650</td>\n",
              "      <td>-0.017900</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.160450</td>\n",
              "      <td>0.038550</td>\n",
              "      <td>0.013800</td>\n",
              "      <td>0.060250</td>\n",
              "      <td>0.009800</td>\n",
              "      <td>-0.030100</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.149400</td>\n",
              "      <td>-0.002200</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-0.027800</td>\n",
              "      <td>-0.002800</td>\n",
              "      <td>-0.069350</td>\n",
              "      <td>-0.011800</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.018300</td>\n",
              "      <td>-0.011650</td>\n",
              "      <td>0.016100</td>\n",
              "      <td>0.037600</td>\n",
              "      <td>0.003750</td>\n",
              "      <td>0.021750</td>\n",
              "      <td>0.027000</td>\n",
              "      <td>0.019100</td>\n",
              "      <td>-0.054000</td>\n",
              "      <td>0.023350</td>\n",
              "      <td>0.003350</td>\n",
              "      <td>-0.000600</td>\n",
              "      <td>0.015350</td>\n",
              "      <td>-0.000700</td>\n",
              "      <td>0.005800</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.017650</td>\n",
              "      <td>-0.041550</td>\n",
              "      <td>-0.002950</td>\n",
              "      <td>-0.012650</td>\n",
              "      <td>-0.005600</td>\n",
              "      <td>0.007650</td>\n",
              "      <td>0.004950</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-0.023800</td>\n",
              "      <td>-0.011450</td>\n",
              "      <td>-0.007100</td>\n",
              "      <td>-0.019500</td>\n",
              "      <td>-0.019500</td>\n",
              "      <td>-0.009300</td>\n",
              "      <td>0.081550</td>\n",
              "      <td>-0.006900</td>\n",
              "      <td>0.018400</td>\n",
              "      <td>-0.014650</td>\n",
              "      <td>-0.014350</td>\n",
              "      <td>0.005300</td>\n",
              "      <td>-0.005300</td>\n",
              "      <td>-0.004050</td>\n",
              "      <td>0.003300</td>\n",
              "      <td>-0.007900</td>\n",
              "      <td>-0.004600</td>\n",
              "      <td>-0.002400</td>\n",
              "      <td>0.007850</td>\n",
              "      <td>-0.005600</td>\n",
              "      <td>-0.020600</td>\n",
              "      <td>-0.030000</td>\n",
              "      <td>-0.009900</td>\n",
              "      <td>0.003250</td>\n",
              "      <td>-0.009100</td>\n",
              "      <td>-0.013750</td>\n",
              "      <td>-0.003300</td>\n",
              "      <td>-0.010250</td>\n",
              "      <td>-0.001250</td>\n",
              "      <td>-0.006800</td>\n",
              "      <td>0.014000</td>\n",
              "      <td>-0.019500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>72.000000</td>\n",
              "      <td>0.525700</td>\n",
              "      <td>0.403075</td>\n",
              "      <td>0.663925</td>\n",
              "      <td>0.463400</td>\n",
              "      <td>0.465375</td>\n",
              "      <td>0.510425</td>\n",
              "      <td>0.528725</td>\n",
              "      <td>0.411900</td>\n",
              "      <td>0.549225</td>\n",
              "      <td>0.697775</td>\n",
              "      <td>0.525400</td>\n",
              "      <td>0.575275</td>\n",
              "      <td>0.604450</td>\n",
              "      <td>0.575825</td>\n",
              "      <td>0.457975</td>\n",
              "      <td>0.382475</td>\n",
              "      <td>0.829500</td>\n",
              "      <td>0.494775</td>\n",
              "      <td>0.327800</td>\n",
              "      <td>0.400600</td>\n",
              "      <td>0.492400</td>\n",
              "      <td>0.414875</td>\n",
              "      <td>0.433400</td>\n",
              "      <td>0.329250</td>\n",
              "      <td>0.527700</td>\n",
              "      <td>0.461650</td>\n",
              "      <td>0.508425</td>\n",
              "      <td>0.586450</td>\n",
              "      <td>0.431275</td>\n",
              "      <td>0.507600</td>\n",
              "      <td>0.458075</td>\n",
              "      <td>0.471075</td>\n",
              "      <td>0.391950</td>\n",
              "      <td>0.551300</td>\n",
              "      <td>0.503725</td>\n",
              "      <td>0.564875</td>\n",
              "      <td>0.517025</td>\n",
              "      <td>0.460500</td>\n",
              "      <td>0.642300</td>\n",
              "      <td>...</td>\n",
              "      <td>0.452675</td>\n",
              "      <td>0.427675</td>\n",
              "      <td>0.462175</td>\n",
              "      <td>0.447975</td>\n",
              "      <td>0.447150</td>\n",
              "      <td>0.441250</td>\n",
              "      <td>0.470600</td>\n",
              "      <td>0.458550</td>\n",
              "      <td>0.441000</td>\n",
              "      <td>0.460075</td>\n",
              "      <td>0.460950</td>\n",
              "      <td>0.449975</td>\n",
              "      <td>0.445200</td>\n",
              "      <td>0.473200</td>\n",
              "      <td>0.563575</td>\n",
              "      <td>0.456350</td>\n",
              "      <td>0.493400</td>\n",
              "      <td>0.448375</td>\n",
              "      <td>0.451975</td>\n",
              "      <td>0.463075</td>\n",
              "      <td>0.447675</td>\n",
              "      <td>0.462000</td>\n",
              "      <td>0.468900</td>\n",
              "      <td>0.452375</td>\n",
              "      <td>0.460475</td>\n",
              "      <td>0.461675</td>\n",
              "      <td>0.465950</td>\n",
              "      <td>0.463400</td>\n",
              "      <td>0.450075</td>\n",
              "      <td>0.430875</td>\n",
              "      <td>0.457750</td>\n",
              "      <td>0.461500</td>\n",
              "      <td>0.445675</td>\n",
              "      <td>0.452900</td>\n",
              "      <td>0.470900</td>\n",
              "      <td>0.444750</td>\n",
              "      <td>0.465225</td>\n",
              "      <td>0.446400</td>\n",
              "      <td>0.461275</td>\n",
              "      <td>0.438650</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>72.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.039000</td>\n",
              "      <td>8.257000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>7.282000</td>\n",
              "      <td>7.333000</td>\n",
              "      <td>5.473000</td>\n",
              "      <td>8.887000</td>\n",
              "      <td>6.433000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>4.134000</td>\n",
              "      <td>6.418000</td>\n",
              "      <td>4.750000</td>\n",
              "      <td>8.872000</td>\n",
              "      <td>4.081000</td>\n",
              "      <td>9.842000</td>\n",
              "      <td>5.248000</td>\n",
              "      <td>5.942000</td>\n",
              "      <td>5.201000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>8.494000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>9.416000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>6.796000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.834000</td>\n",
              "      <td>5.602000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>3.888000</td>\n",
              "      <td>3.596000</td>\n",
              "      <td>4.857000</td>\n",
              "      <td>3.549000</td>\n",
              "      <td>3.382000</td>\n",
              "      <td>3.328000</td>\n",
              "      <td>4.157000</td>\n",
              "      <td>3.736000</td>\n",
              "      <td>3.582000</td>\n",
              "      <td>3.119000</td>\n",
              "      <td>3.323000</td>\n",
              "      <td>5.014000</td>\n",
              "      <td>2.898000</td>\n",
              "      <td>4.185000</td>\n",
              "      <td>3.170000</td>\n",
              "      <td>3.276000</td>\n",
              "      <td>4.992000</td>\n",
              "      <td>3.770000</td>\n",
              "      <td>2.851000</td>\n",
              "      <td>3.211000</td>\n",
              "      <td>4.534000</td>\n",
              "      <td>3.890000</td>\n",
              "      <td>3.994000</td>\n",
              "      <td>4.321000</td>\n",
              "      <td>4.020000</td>\n",
              "      <td>3.738000</td>\n",
              "      <td>3.252000</td>\n",
              "      <td>5.406000</td>\n",
              "      <td>3.110000</td>\n",
              "      <td>3.320000</td>\n",
              "      <td>4.069000</td>\n",
              "      <td>3.960000</td>\n",
              "      <td>3.927000</td>\n",
              "      <td>3.596000</td>\n",
              "      <td>3.747000</td>\n",
              "      <td>2.814000</td>\n",
              "      <td>3.505000</td>\n",
              "      <td>2.924000</td>\n",
              "      <td>3.111000</td>\n",
              "      <td>3.805000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 873 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "              tempo           g-0  ...          c-98          c-99\n",
              "count  23814.000000  23814.000000  ...  23814.000000  23814.000000\n",
              "mean      48.020156      0.248366  ...     -0.470252     -0.301505\n",
              "std       19.402807      1.393399  ...      1.834828      1.407918\n",
              "min       24.000000     -5.513000  ...    -10.000000    -10.000000\n",
              "25%       24.000000     -0.473075  ...     -0.592600     -0.562900\n",
              "50%       48.000000     -0.008850  ...      0.014000     -0.019500\n",
              "75%       72.000000      0.525700  ...      0.461275      0.438650\n",
              "max       72.000000     10.000000  ...      3.111000      3.805000\n",
              "\n",
              "[8 rows x 873 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 146
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "id": "OAkjbZdkqPlR",
        "outputId": "4d87d12f-5569-444d-b553-fb56be77dddc"
      },
      "source": [
        "dados[['g-0', 'g-1']]"
      ],
      "execution_count": null,
      "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>g-0</th>\n",
              "      <th>g-1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23810</th>\n",
              "      <td>-1.3260</td>\n",
              "      <td>0.3478</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23813</th>\n",
              "      <td>-0.8598</td>\n",
              "      <td>1.0240</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>23814 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "          g-0     g-1\n",
              "0      1.0620  0.5577\n",
              "1      0.0743  0.4087\n",
              "2      0.6280  0.5817\n",
              "3     -0.5138 -0.2491\n",
              "4     -0.3254 -0.4009\n",
              "...       ...     ...\n",
              "23809  0.1394 -0.0636\n",
              "23810 -1.3260  0.3478\n",
              "23811  0.3942  0.3756\n",
              "23812  0.6660  0.2324\n",
              "23813 -0.8598  1.0240\n",
              "\n",
              "[23814 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 147
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 333
        },
        "id": "dQX0KOhUqm66",
        "outputId": "2ee9ff99-d454-400f-b53a-d80b3031faee"
      },
      "source": [
        "dados.loc[:,'g-0':'g-771'].describe()"
      ],
      "execution_count": null,
      "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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              "\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>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>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>g-732</th>\n",
              "      <th>g-733</th>\n",
              "      <th>g-734</th>\n",
              "      <th>g-735</th>\n",
              "      <th>g-736</th>\n",
              "      <th>g-737</th>\n",
              "      <th>g-738</th>\n",
              "      <th>g-739</th>\n",
              "      <th>g-740</th>\n",
              "      <th>g-741</th>\n",
              "      <th>g-742</th>\n",
              "      <th>g-743</th>\n",
              "      <th>g-744</th>\n",
              "      <th>g-745</th>\n",
              "      <th>g-746</th>\n",
              "      <th>g-747</th>\n",
              "      <th>g-748</th>\n",
              "      <th>g-749</th>\n",
              "      <th>g-750</th>\n",
              "      <th>g-751</th>\n",
              "      <th>g-752</th>\n",
              "      <th>g-753</th>\n",
              "      <th>g-754</th>\n",
              "      <th>g-755</th>\n",
              "      <th>g-756</th>\n",
              "      <th>g-757</th>\n",
              "      <th>g-758</th>\n",
              "      <th>g-759</th>\n",
              "      <th>g-760</th>\n",
              "      <th>g-761</th>\n",
              "      <th>g-762</th>\n",
              "      <th>g-763</th>\n",
              "      <th>g-764</th>\n",
              "      <th>g-765</th>\n",
              "      <th>g-766</th>\n",
              "      <th>g-767</th>\n",
              "      <th>g-768</th>\n",
              "      <th>g-769</th>\n",
              "      <th>g-770</th>\n",
              "      <th>g-771</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.248366</td>\n",
              "      <td>-0.095684</td>\n",
              "      <td>0.152253</td>\n",
              "      <td>0.081971</td>\n",
              "      <td>0.057347</td>\n",
              "      <td>-0.138836</td>\n",
              "      <td>0.035961</td>\n",
              "      <td>-0.202651</td>\n",
              "      <td>-0.190083</td>\n",
              "      <td>0.119905</td>\n",
              "      <td>-0.123321</td>\n",
              "      <td>0.182307</td>\n",
              "      <td>0.143203</td>\n",
              "      <td>0.209402</td>\n",
              "      <td>-0.173884</td>\n",
              "      <td>-0.024432</td>\n",
              "      <td>0.126823</td>\n",
              "      <td>-0.146663</td>\n",
              "      <td>0.087687</td>\n",
              "      <td>-0.082982</td>\n",
              "      <td>-0.111908</td>\n",
              "      <td>-0.087379</td>\n",
              "      <td>0.047548</td>\n",
              "      <td>-0.117474</td>\n",
              "      <td>-0.113212</td>\n",
              "      <td>-0.052746</td>\n",
              "      <td>-0.091055</td>\n",
              "      <td>0.112176</td>\n",
              "      <td>-0.046458</td>\n",
              "      <td>-0.076239</td>\n",
              "      <td>-0.197699</td>\n",
              "      <td>0.382177</td>\n",
              "      <td>-0.189432</td>\n",
              "      <td>0.078791</td>\n",
              "      <td>-0.093312</td>\n",
              "      <td>0.135729</td>\n",
              "      <td>-0.188616</td>\n",
              "      <td>-0.606710</td>\n",
              "      <td>0.534425</td>\n",
              "      <td>0.132026</td>\n",
              "      <td>...</td>\n",
              "      <td>0.263569</td>\n",
              "      <td>-0.242638</td>\n",
              "      <td>0.110180</td>\n",
              "      <td>-0.039868</td>\n",
              "      <td>-0.064056</td>\n",
              "      <td>0.193629</td>\n",
              "      <td>0.004470</td>\n",
              "      <td>-0.187085</td>\n",
              "      <td>0.067186</td>\n",
              "      <td>0.006159</td>\n",
              "      <td>-0.201189</td>\n",
              "      <td>-0.243317</td>\n",
              "      <td>0.548903</td>\n",
              "      <td>0.247065</td>\n",
              "      <td>0.085950</td>\n",
              "      <td>0.090544</td>\n",
              "      <td>0.215525</td>\n",
              "      <td>-0.007705</td>\n",
              "      <td>0.236954</td>\n",
              "      <td>0.022785</td>\n",
              "      <td>0.103224</td>\n",
              "      <td>0.048402</td>\n",
              "      <td>0.109367</td>\n",
              "      <td>-0.103262</td>\n",
              "      <td>0.004129</td>\n",
              "      <td>0.066211</td>\n",
              "      <td>0.072773</td>\n",
              "      <td>-0.033051</td>\n",
              "      <td>-0.400643</td>\n",
              "      <td>-0.338978</td>\n",
              "      <td>0.207299</td>\n",
              "      <td>0.009161</td>\n",
              "      <td>0.171027</td>\n",
              "      <td>0.002316</td>\n",
              "      <td>-0.209799</td>\n",
              "      <td>-0.076251</td>\n",
              "      <td>0.134162</td>\n",
              "      <td>-0.128018</td>\n",
              "      <td>-0.219210</td>\n",
              "      <td>0.101524</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.393399</td>\n",
              "      <td>0.812363</td>\n",
              "      <td>1.035731</td>\n",
              "      <td>0.950012</td>\n",
              "      <td>1.032091</td>\n",
              "      <td>1.179388</td>\n",
              "      <td>0.882395</td>\n",
              "      <td>1.125494</td>\n",
              "      <td>1.749885</td>\n",
              "      <td>1.087180</td>\n",
              "      <td>1.291501</td>\n",
              "      <td>1.253604</td>\n",
              "      <td>1.234590</td>\n",
              "      <td>1.273068</td>\n",
              "      <td>1.247178</td>\n",
              "      <td>0.659839</td>\n",
              "      <td>1.418997</td>\n",
              "      <td>1.179688</td>\n",
              "      <td>0.743301</td>\n",
              "      <td>0.844796</td>\n",
              "      <td>1.219529</td>\n",
              "      <td>0.824401</td>\n",
              "      <td>0.924838</td>\n",
              "      <td>0.760159</td>\n",
              "      <td>1.203186</td>\n",
              "      <td>0.866977</td>\n",
              "      <td>1.103765</td>\n",
              "      <td>1.001687</td>\n",
              "      <td>1.027758</td>\n",
              "      <td>1.279399</td>\n",
              "      <td>1.302567</td>\n",
              "      <td>1.559174</td>\n",
              "      <td>0.933514</td>\n",
              "      <td>1.172270</td>\n",
              "      <td>1.174325</td>\n",
              "      <td>1.061719</td>\n",
              "      <td>1.397677</td>\n",
              "      <td>2.200277</td>\n",
              "      <td>2.003317</td>\n",
              "      <td>0.990477</td>\n",
              "      <td>...</td>\n",
              "      <td>1.075809</td>\n",
              "      <td>1.309482</td>\n",
              "      <td>0.881283</td>\n",
              "      <td>0.917119</td>\n",
              "      <td>1.186966</td>\n",
              "      <td>1.212621</td>\n",
              "      <td>1.175611</td>\n",
              "      <td>1.182180</td>\n",
              "      <td>1.057292</td>\n",
              "      <td>0.996940</td>\n",
              "      <td>1.029370</td>\n",
              "      <td>1.378815</td>\n",
              "      <td>2.023791</td>\n",
              "      <td>1.639307</td>\n",
              "      <td>1.238753</td>\n",
              "      <td>0.961212</td>\n",
              "      <td>1.293783</td>\n",
              "      <td>0.966213</td>\n",
              "      <td>1.284074</td>\n",
              "      <td>1.015557</td>\n",
              "      <td>1.035968</td>\n",
              "      <td>1.048645</td>\n",
              "      <td>0.856080</td>\n",
              "      <td>1.175372</td>\n",
              "      <td>0.701031</td>\n",
              "      <td>0.996914</td>\n",
              "      <td>1.077310</td>\n",
              "      <td>1.579948</td>\n",
              "      <td>1.913468</td>\n",
              "      <td>1.701554</td>\n",
              "      <td>1.096488</td>\n",
              "      <td>1.200395</td>\n",
              "      <td>1.357701</td>\n",
              "      <td>1.052771</td>\n",
              "      <td>1.201918</td>\n",
              "      <td>1.115477</td>\n",
              "      <td>0.951264</td>\n",
              "      <td>1.230636</td>\n",
              "      <td>1.326193</td>\n",
              "      <td>1.417674</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-5.513000</td>\n",
              "      <td>-5.737000</td>\n",
              "      <td>-9.104000</td>\n",
              "      <td>-5.998000</td>\n",
              "      <td>-6.369000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-8.337000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-5.870000</td>\n",
              "      <td>-8.587000</td>\n",
              "      <td>-5.018000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-4.226000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-5.700000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-8.272000</td>\n",
              "      <td>-8.184000</td>\n",
              "      <td>-4.835000</td>\n",
              "      <td>-7.913000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-2.956000</td>\n",
              "      <td>-8.356000</td>\n",
              "      <td>-7.182000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.261000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-4.223000</td>\n",
              "      <td>...</td>\n",
              "      <td>-5.504000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-3.790000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-7.920000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.462000</td>\n",
              "      <td>-6.634000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-2.912000</td>\n",
              "      <td>-9.833000</td>\n",
              "      <td>-7.227000</td>\n",
              "      <td>-5.561000</td>\n",
              "      <td>-8.393000</td>\n",
              "      <td>-5.790000</td>\n",
              "      <td>-4.915000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-7.918000</td>\n",
              "      <td>-5.255000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-6.264000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-5.505000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-8.193000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.795000</td>\n",
              "      <td>-8.180000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-4.269000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>-0.473075</td>\n",
              "      <td>-0.562200</td>\n",
              "      <td>-0.437750</td>\n",
              "      <td>-0.429575</td>\n",
              "      <td>-0.470925</td>\n",
              "      <td>-0.602225</td>\n",
              "      <td>-0.493900</td>\n",
              "      <td>-0.525175</td>\n",
              "      <td>-0.511675</td>\n",
              "      <td>-0.360200</td>\n",
              "      <td>-0.511475</td>\n",
              "      <td>-0.489675</td>\n",
              "      <td>-0.447500</td>\n",
              "      <td>-0.481200</td>\n",
              "      <td>-0.607975</td>\n",
              "      <td>-0.404150</td>\n",
              "      <td>-0.391950</td>\n",
              "      <td>-0.513775</td>\n",
              "      <td>-0.272200</td>\n",
              "      <td>-0.488675</td>\n",
              "      <td>-0.524600</td>\n",
              "      <td>-0.538900</td>\n",
              "      <td>-0.440375</td>\n",
              "      <td>-0.508900</td>\n",
              "      <td>-0.533900</td>\n",
              "      <td>-0.497700</td>\n",
              "      <td>-0.512875</td>\n",
              "      <td>-0.467800</td>\n",
              "      <td>-0.378300</td>\n",
              "      <td>-0.505750</td>\n",
              "      <td>-0.457975</td>\n",
              "      <td>-0.328200</td>\n",
              "      <td>-0.600500</td>\n",
              "      <td>-0.478700</td>\n",
              "      <td>-0.570525</td>\n",
              "      <td>-0.481800</td>\n",
              "      <td>-0.541950</td>\n",
              "      <td>-0.604100</td>\n",
              "      <td>-0.470250</td>\n",
              "      <td>-0.401700</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.390700</td>\n",
              "      <td>-0.565075</td>\n",
              "      <td>-0.433275</td>\n",
              "      <td>-0.498650</td>\n",
              "      <td>-0.526300</td>\n",
              "      <td>-0.430750</td>\n",
              "      <td>-0.488775</td>\n",
              "      <td>-0.593125</td>\n",
              "      <td>-0.498275</td>\n",
              "      <td>-0.489800</td>\n",
              "      <td>-0.564100</td>\n",
              "      <td>-0.538000</td>\n",
              "      <td>-0.464000</td>\n",
              "      <td>-0.521975</td>\n",
              "      <td>-0.488600</td>\n",
              "      <td>-0.442925</td>\n",
              "      <td>-0.457200</td>\n",
              "      <td>-0.477900</td>\n",
              "      <td>-0.458175</td>\n",
              "      <td>-0.479075</td>\n",
              "      <td>-0.478825</td>\n",
              "      <td>-0.489300</td>\n",
              "      <td>-0.327500</td>\n",
              "      <td>-0.576775</td>\n",
              "      <td>-0.278275</td>\n",
              "      <td>-0.492700</td>\n",
              "      <td>-0.501575</td>\n",
              "      <td>-0.526450</td>\n",
              "      <td>-0.507375</td>\n",
              "      <td>-0.559175</td>\n",
              "      <td>-0.433875</td>\n",
              "      <td>-0.502250</td>\n",
              "      <td>-0.537075</td>\n",
              "      <td>-0.508775</td>\n",
              "      <td>-0.606175</td>\n",
              "      <td>-0.506200</td>\n",
              "      <td>-0.353100</td>\n",
              "      <td>-0.544600</td>\n",
              "      <td>-0.554400</td>\n",
              "      <td>-0.523800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>-0.008850</td>\n",
              "      <td>-0.046600</td>\n",
              "      <td>0.075200</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.026900</td>\n",
              "      <td>-0.015650</td>\n",
              "      <td>-0.000650</td>\n",
              "      <td>-0.017900</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.160450</td>\n",
              "      <td>0.038550</td>\n",
              "      <td>0.013800</td>\n",
              "      <td>0.060250</td>\n",
              "      <td>0.009800</td>\n",
              "      <td>-0.030100</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.149400</td>\n",
              "      <td>-0.002200</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-0.027800</td>\n",
              "      <td>-0.002800</td>\n",
              "      <td>-0.069350</td>\n",
              "      <td>-0.011800</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.018300</td>\n",
              "      <td>-0.011650</td>\n",
              "      <td>0.016100</td>\n",
              "      <td>0.037600</td>\n",
              "      <td>0.003750</td>\n",
              "      <td>0.021750</td>\n",
              "      <td>0.027000</td>\n",
              "      <td>0.019100</td>\n",
              "      <td>-0.054000</td>\n",
              "      <td>0.023350</td>\n",
              "      <td>0.003350</td>\n",
              "      <td>-0.000600</td>\n",
              "      <td>0.015350</td>\n",
              "      <td>-0.000700</td>\n",
              "      <td>0.005800</td>\n",
              "      <td>0.007400</td>\n",
              "      <td>...</td>\n",
              "      <td>0.065650</td>\n",
              "      <td>-0.014100</td>\n",
              "      <td>0.030850</td>\n",
              "      <td>-0.001800</td>\n",
              "      <td>-0.008400</td>\n",
              "      <td>0.101400</td>\n",
              "      <td>0.033400</td>\n",
              "      <td>-0.001600</td>\n",
              "      <td>0.000850</td>\n",
              "      <td>0.014800</td>\n",
              "      <td>-0.044000</td>\n",
              "      <td>0.017400</td>\n",
              "      <td>0.000850</td>\n",
              "      <td>-0.015550</td>\n",
              "      <td>0.025350</td>\n",
              "      <td>0.017750</td>\n",
              "      <td>0.053450</td>\n",
              "      <td>0.027700</td>\n",
              "      <td>-0.002100</td>\n",
              "      <td>0.009500</td>\n",
              "      <td>-0.004450</td>\n",
              "      <td>-0.000050</td>\n",
              "      <td>0.002400</td>\n",
              "      <td>0.024250</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.005300</td>\n",
              "      <td>0.013600</td>\n",
              "      <td>0.001350</td>\n",
              "      <td>0.007350</td>\n",
              "      <td>0.038700</td>\n",
              "      <td>0.059600</td>\n",
              "      <td>-0.005900</td>\n",
              "      <td>-0.013600</td>\n",
              "      <td>-0.027700</td>\n",
              "      <td>-0.011850</td>\n",
              "      <td>0.009900</td>\n",
              "      <td>0.005400</td>\n",
              "      <td>0.000600</td>\n",
              "      <td>0.028700</td>\n",
              "      <td>-0.006500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>0.525700</td>\n",
              "      <td>0.403075</td>\n",
              "      <td>0.663925</td>\n",
              "      <td>0.463400</td>\n",
              "      <td>0.465375</td>\n",
              "      <td>0.510425</td>\n",
              "      <td>0.528725</td>\n",
              "      <td>0.411900</td>\n",
              "      <td>0.549225</td>\n",
              "      <td>0.697775</td>\n",
              "      <td>0.525400</td>\n",
              "      <td>0.575275</td>\n",
              "      <td>0.604450</td>\n",
              "      <td>0.575825</td>\n",
              "      <td>0.457975</td>\n",
              "      <td>0.382475</td>\n",
              "      <td>0.829500</td>\n",
              "      <td>0.494775</td>\n",
              "      <td>0.327800</td>\n",
              "      <td>0.400600</td>\n",
              "      <td>0.492400</td>\n",
              "      <td>0.414875</td>\n",
              "      <td>0.433400</td>\n",
              "      <td>0.329250</td>\n",
              "      <td>0.527700</td>\n",
              "      <td>0.461650</td>\n",
              "      <td>0.508425</td>\n",
              "      <td>0.586450</td>\n",
              "      <td>0.431275</td>\n",
              "      <td>0.507600</td>\n",
              "      <td>0.458075</td>\n",
              "      <td>0.471075</td>\n",
              "      <td>0.391950</td>\n",
              "      <td>0.551300</td>\n",
              "      <td>0.503725</td>\n",
              "      <td>0.564875</td>\n",
              "      <td>0.517025</td>\n",
              "      <td>0.460500</td>\n",
              "      <td>0.642300</td>\n",
              "      <td>0.439400</td>\n",
              "      <td>...</td>\n",
              "      <td>0.646900</td>\n",
              "      <td>0.467900</td>\n",
              "      <td>0.543400</td>\n",
              "      <td>0.477200</td>\n",
              "      <td>0.497400</td>\n",
              "      <td>0.846400</td>\n",
              "      <td>0.573875</td>\n",
              "      <td>0.501675</td>\n",
              "      <td>0.519825</td>\n",
              "      <td>0.515000</td>\n",
              "      <td>0.412375</td>\n",
              "      <td>0.479400</td>\n",
              "      <td>0.646325</td>\n",
              "      <td>0.565200</td>\n",
              "      <td>0.610075</td>\n",
              "      <td>0.506975</td>\n",
              "      <td>0.671725</td>\n",
              "      <td>0.514175</td>\n",
              "      <td>0.524175</td>\n",
              "      <td>0.501325</td>\n",
              "      <td>0.516975</td>\n",
              "      <td>0.517475</td>\n",
              "      <td>0.375275</td>\n",
              "      <td>0.572250</td>\n",
              "      <td>0.251600</td>\n",
              "      <td>0.540950</td>\n",
              "      <td>0.530900</td>\n",
              "      <td>0.527900</td>\n",
              "      <td>0.475275</td>\n",
              "      <td>0.522075</td>\n",
              "      <td>0.648500</td>\n",
              "      <td>0.492150</td>\n",
              "      <td>0.522500</td>\n",
              "      <td>0.457000</td>\n",
              "      <td>0.483000</td>\n",
              "      <td>0.511175</td>\n",
              "      <td>0.409075</td>\n",
              "      <td>0.498500</td>\n",
              "      <td>0.496400</td>\n",
              "      <td>0.536950</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.039000</td>\n",
              "      <td>8.257000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>7.282000</td>\n",
              "      <td>7.333000</td>\n",
              "      <td>5.473000</td>\n",
              "      <td>8.887000</td>\n",
              "      <td>6.433000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>4.134000</td>\n",
              "      <td>6.418000</td>\n",
              "      <td>4.750000</td>\n",
              "      <td>8.872000</td>\n",
              "      <td>4.081000</td>\n",
              "      <td>9.842000</td>\n",
              "      <td>5.248000</td>\n",
              "      <td>5.942000</td>\n",
              "      <td>5.201000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>8.494000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>9.416000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>6.796000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.834000</td>\n",
              "      <td>5.602000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.444000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>4.889000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>7.635000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>6.664000</td>\n",
              "      <td>9.566000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>3.497000</td>\n",
              "      <td>6.911000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.323000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>6.533000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>4.008000</td>\n",
              "      <td>5.900000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>9.552000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>8.346000</td>\n",
              "      <td>5.444000</td>\n",
              "      <td>6.317000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.911000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 772 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                g-0           g-1  ...         g-770         g-771\n",
              "count  23814.000000  23814.000000  ...  23814.000000  23814.000000\n",
              "mean       0.248366     -0.095684  ...     -0.219210      0.101524\n",
              "std        1.393399      0.812363  ...      1.326193      1.417674\n",
              "min       -5.513000     -5.737000  ...    -10.000000    -10.000000\n",
              "25%       -0.473075     -0.562200  ...     -0.554400     -0.523800\n",
              "50%       -0.008850     -0.046600  ...      0.028700     -0.006500\n",
              "75%        0.525700      0.403075  ...      0.496400      0.536950\n",
              "max       10.000000      5.039000  ...     10.000000     10.000000\n",
              "\n",
              "[8 rows x 772 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 148
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "ij9QVxGArZsd",
        "outputId": "796fb456-5d97-45d7-c0f2-d64ee3efa159"
      },
      "source": [
        "dados.loc[:,'g-0':'g-771'].describe().T['mean'].hist(bins=30)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c622df90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 149
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "u31uRxYWr2PG",
        "outputId": "bdca2571-e7b5-4529-adba-7799f37276f7"
      },
      "source": [
        "dados.loc[:,'g-0':'g-771'].describe().T['min'].hist(bins=30)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c6e55c90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 150
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "bYnsG81Sr8mc",
        "outputId": "fb0b9454-15a7-4d62-9cc8-21616f3929d3"
      },
      "source": [
        "dados.loc[:,'g-0':'g-771'].describe().T['max'].hist(bins=30)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c60be0d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 151
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "hu2jZ2snuJ09",
        "outputId": "3fc44990-3f09-4357-f626-87b0a6d3c8d9"
      },
      "source": [
        "dados.loc[:,'c-0':'c-99'].describe().T['mean'].hist(bins=50)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c62b75d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 152
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "id": "R9LHaY0yv29K",
        "outputId": "30dfed60-e614-4ea9-8e03-24ee7e79579a"
      },
      "source": [
        "sns.boxplot(x='g-0' , data=dados)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c7a61810>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 153
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 520
        },
        "id": "h87JI4a_yNa1",
        "outputId": "6c324a41-d679-4399-a746-f85b6ef950e1"
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.boxplot(y='g-0', x='tratamento' , data=dados)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c60ed410>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 154
        },
        {
          "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": "1xawUGDKnou2"
      },
      "source": [
        "#Desafios Aula 2"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "s3XH8PZ-zoWh"
      },
      "source": [
        "##Desafio 01: Ordenar o gráfico countplot"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g0aDK5sGbUZq"
      },
      "source": [
        "cod_compostos já está ordenado então podemos utilizar ele"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mLSbc2xUbLa-",
        "outputId": "27fea150-0a26-4ad6-aafc-9f74bf4dd06f"
      },
      "source": [
        "cod_compostos"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['cacb2b860', '87d714366', '9f80f3f77', '8b87a7a83', '5628cb3ee'], dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 155
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ITVNag4B3c47",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "outputId": "ab8915f2-e100-4477-ffb3-e3ed2303b48c"
      },
      "source": [
        "sns.set()\n",
        "plt.figure(figsize=(8, 6))\n",
        "ax = sns.countplot(x = 'composto', data=dados.query('composto in @cod_compostos'), order=cod_compostos)\n",
        "ax.set_title('Top 5 compostos')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P6DYBovv46vf"
      },
      "source": [
        "##Desafio 02: Melhorar a visualização alterando tamanho da fonte"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7dIdQNJH7g6v"
      },
      "source": [
        "Podemos usar o matplotlib para aumentar o tamanho da fonte de cada uma das partes do gráfico separadamente. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 416
        },
        "id": "QNEHErVm13EX",
        "outputId": "411cb076-7aa5-4327-8e6f-ed1bbe0f4ff4"
      },
      "source": [
        "sns.set()\n",
        "          \n",
        "plt.rc('axes', titlesize=14)     # O tamanho da fonte do título\n",
        "plt.rc('axes', labelsize=14)    # O tamanho da fonte dos eixos x e y\n",
        "plt.rc('xtick', labelsize=14)    # O tamanho da fonte dos números e texto no eixo x\n",
        "plt.rc('ytick', labelsize=14)    # O tamanho da fonte dos números e texto no eixo y\n",
        "plt.figure(figsize=(8, 6))\n",
        "ax = sns.countplot(x = 'composto', data=dados.query('composto in @cod_compostos'), order=cod_compostos)\n",
        "ax.set_title('Top 5 compostos')\n",
        "ax.set_ylabel('Contagem')\n",
        "ax.set_xlabel('Composto')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4O_oxUk4-5-m"
      },
      "source": [
        "##Desafio 03: Plotar os histogramas com seaborn"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "tH-3_sAF5DVs",
        "outputId": "6b80a0d9-69eb-43de-a6f0-a38aaa4cda0c"
      },
      "source": [
        "dados['g-0'].hist(bins = 100) #Versão com o Pandas"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c61ef5d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 158
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 307
        },
        "id": "LC5CCsA6Ftdj",
        "outputId": "72d658a4-0dfa-43c1-f369-9921ecd83d4e"
      },
      "source": [
        "sns.histplot(data=dados['g-0'],bins=100) # Versão com o Seaborn"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c5f67090>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 159
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Fly9fhr+/PwCgtLQU48ePx44dOzBs2LAuH6O2thbBwcF4/vnnsWzZsnbr9+7di5ycHGzcuBGjRo3Cb3/7WyQmJuKjjz7C4MGDAQBvvPEGvv/+e+zbtw8AsGLFCqSmpmL37t0AgJqaGiQlJWHixInIy8tDcXEx/uu//guenp5ISkqytbtERNTHbN7DWbduHeRyOU6dOoUzZ87gzJkzOHXqFORyOdavX2/TY0yePBmvv/46pk2bBjc3y6cWQuDQoUNYvHgx4uPjERwcjE2bNsFoNOL48eMAgBs3buDTTz9Feno6NBoNNBoN1q5di7/85S8oLi4GALz//vuoq6vDpk2bEBwcjGnTpmHRokU4cOAA93KIiBzI5sA5d+4cVq1ahcDAQPOywMBALF++HOfOnet1ISUlJSgrK0N0dLR5mYeHB5544gkUFhYCAAoLC+Hp6Ynw8HBzm4iICHh6eprbXLx4ERMnToSHh4e5TUxMDEpLS1FSUtLrOomIqGe6dR1OR9+l1tn3q3VHWVkZAMDPz89iua+vL0pLSwE0D8NWKpUWz9kyWk6n05nbtD281/KYOp3OIjC74us7uPsd6SaVysvuz2FvjuyDwl0Bd/fml7FcIYdC0Xy/O7eBhm5vq3BXQKm0/+ujO/hacg6u0AfAPv2wOXCioqKQkZGBrVu3IiAgAABw584dbNiwAVFRUX1emDPQ62vQ1GS/w3AqlRfKyqrt9vhScGQf5HIZTA0mNDSYAACNpkaYTM33u3O7J9uaGkwwGGqc5sJPvpacgyv0Aeh5P9zcZJ1+ULc5cFasWIGXX34ZU6dOtRg0EBwcjBUrVnS7sLZUKhWA5r2Q4cOHm5fr9XrzHoqfnx8MBgOEEOa9HCEEDAaDRRu9Xm/x2C17P233noiISDo2B05AQAD+8Ic/oKCgwHyCPigoCJMmTeqTQkaOHAmVSoWCggKEhoYCAOrr63HhwgWkpqYCaJ4ioba2FoWFhebzOIWFhaitrYVGowEAqNVqZGVlob6+Hg899BAAoKCgAP7+/hg5cmSf1EpERN3X5aCBM2fOIC4uDjU1NZDJZIiOjsb8+fMxf/58TJgwAXFxcTYPGjAajbhy5QquXLmCpqYm3LlzB1euXMGdO3cgk8mQkJCAvXv34tSpU7h69SrS0tLg6emJGTNmAGgOuNjYWKxevRqFhYUoLCzE6tWrMWXKFIwePRpA81fwDBw4EGlpabh69SpOnTqFt99+G4mJiX12vomIiLqvyz2c3NxcLFy40HwdTGteXl74xS9+gYMHD1qMLrPm0qVLSEhIMN/Pzs5GdnY2Zs6ciY0bN2LRokWor69Heno6KisrERYWhpycHIvn3rJlCzIyMrBw4UIAQFxcnMVcPV5eXsjJyUF6ejpmz54Nb29vJCUlITExscv6iIjIfroMHK1Wi7S0NKvrn3zySfNFl12JjIyEVqu1ul4mk2HJkiVYsmSJ1Tbe3t7Iysrq9HlCQkKQm5trU01ERCSNLg+pGQyGdhdptiaTyVBRUdGnRRERkevpMnAefvjhTvdKtFqtTV9rQ0RE/VuXgTN58mT85je/wb1799qtq6urw/bt2zF58mS7FEdERK6jy3M4L7/8Mk6ePIn4+Hi88MIL5tFgxcXFOHz4MIQQSE5OtnuhRC1apnd2c+OoQ6IHSZeB4+vri9///vdYs2YNtm3bZv4CTJlMhpiYGKxatYoXVJJk5HIZ8s/ehKGyDqNGeAPMHKIHhk0Xfo4YMQJ79+5FZWUlvvnmGwDAj370I3h7e9u1OKKOtEzzrBzi0XVjInIa3fryTm9vb/O3ABD1ZzKZ5SE9Z/lONSJn1q3AIaJmPl4eyDtTDENFHZTeAzHrqVEMHaIuMHCIeqjl0B4R2cbmCdiIiIh6g4FDRESSYOAQEZEkGDhERCQJBg4REUmCgUNERJJg4BARkSQYOEREJAkGDhERSYKBQ0REkmDgEBGRJBg4REQkCQYOERFJgoFDRESSYOAQEZEkGDhERCQJBg4REUmCM34S9ZJMBri5ycz3OdU0UccYOES95OPlgbwzxTBU1EHpPRCznhrF0CHqAAOHqA8YKutQVlHn6DKInBrP4RARkSQYOEREJAkGDhERSYKBQ0REkmDgEBGRJDhKjR4IcnnzdS6tr3chogcLA4ecnlwuQ/7ZmzBU1mHUCG+AmUP0QOIhNXogtFznUlld7+hSiKiHGDhERCQJpwqc7OxshISEWPxER0eb1wshkJ2djZiYGISGhmL+/Pm4du2axWNUVlYiJSUFERERiIiIQEpKCqqqqqTuChERteFUgQMAo0aNwmeffWb++eMf/2het3fvXuTk5GDlypXIy8uDUqlEYmIiampqzG3eeOMNFBUVYd++fdi3bx+KioqQmprqiK4QEVErThc4CoUCKpXK/KNUKgE0790cOnQIixcvRnx8PIKDg7Fp0yYYjUYcP34cAHDjxg18+umnSE9Ph0ajgUajwdq1a/GXv/wFxcXFjuwWEVG/53SBc/v2bcTExCAuLg5Lly7F7du3AQAlJSUoKyuzOMTm4eGBJ554AoWFhQCAwsJCeHp6Ijw83NwmIiICnp6e5jZEROQYTjUsOjQ0FJmZmRg9ejQMBgN27dqFuXPn4vjx4ygrKwMA+Pn5WWzj6+uL0tJSAIBOp4NSqYRM9sO4WZlMBqVSCZ1OJ11HqN/i3DhE1jlV4EyePNniflhYGKZOnYr33nsPYWFhktfj6zvY7s+hUnnZ/TnsTYo+KNwVcHdXQK6QQ6FofxuA1XVd3QYaerxt29t+PoPw3me3YKiqh3LIQ1gwY5zdfzct+FpyDq7QB8A+/XCqwGlr0KBBePTRR3Hr1i1MnToVQPNezPDhw81t9Hq9ea/Hz88PBoMBQgjzXo4QAgaDod2ekS30+ho0NdnvE6pK5YWysmq7Pb4UpOiDXC6DqcGEhgYTGk2NMJna3wZgdV1Xt3uzbUe3DdX3UFZeB1ODCQZDjSR7OXwtOQdX6APQ8364uck6/aDudOdwWquvr8fNmzehUqkwcuRIqFQqFBQUWKy/cOECNBoNAECj0aC2ttbifE1hYSFqa2vNbYiIyDGcag9n06ZNmDJlCgICAmAwGLBz507U1tZi5syZkMlkSEhIwJ49ezB69Gg88sgj2LVrFzw9PTFjxgwAQFBQEGJjY7F69Wqkp6cDAFavXo0pU6Zg9OjRjuwaEVG/51SBc/fuXbz++uuoqKiAj48P1Go1jh07hhEjRgAAFi1ahPr6eqSnp6OyshJhYWHIycnB4ME/7MJt2bIFGRkZWLhwIQAgLi4Oq1atckh/iIjoB04VONu2bet0vUwmw5IlS7BkyRKrbby9vZGVldXXpRERUS859TkcIiJyHU61h0PUGufAIXItDBxySpwDh8j18JAaOS3OgUPkWhg4REQkCQYOERFJgoFDRESSYOAQEZEkOEqNyE44VQGRJQYOkZ34eHkg70wxDBV1UHoPxKynRjF0qF9j4BDZUcvQbiLiORwiIpIIA4eIiCTBwCEiIkkwcIiISBIcNEAkAQ6RJmLgkJNx1SkJOESaiIFDTsTVpyTgEGnq73gOh5wKpyQgcl0MHCIikgQDh4iIJMHAISIiSTBwiIhIEhylRiQxXpND/RUDh0hivCaH+isGDpED8Joc6o8YOEQOxMNr1J8wcIgciIfXqD9h4JDDuer3p9mKh9eov2DgkEO5+venEdEPeB0OORy/P42of+AeDpGTaDuAoDWe1yFXwMAhchKtBxCMGuGNSuN9GCrq4Os9ELP/z2g0NTWHDsOHHlQMHHKI/j5QwJqWw4vKIR4wVN8z3+ZINnIFDBySHAcKdB9HspErYOCQQ7T+JE+26+mFoi17lN3ZhqivMXCIHiCtz/O0PbfTOlRac3OTIe90MQyVPB9EjsXAIcnwvE3faL132BI+j/6TDwxV99oNOACAUSO8Yahqv01n4dPdPSJr7bu7nFwbA4fsqnXItHzK5nmbvtMSPirloA4HHABod9iyo8BqHT627hF19Le15XFaL+9sEARDyfW4dODk5uZi//79KCsrw2OPPYZf//rXmDhxoqPL6jfaDg5o/SmbnENH4WPLHlHbDxAdtbdleVtdhVhnGErOz2UD54MPPsCGDRuwevVqRERE4MiRI1i0aBFOnDiB4cOHO7q8foODAx4c1v5WtoRSdx+nRdtBENY+oHR0fZKt1ypZO7fVli3bMNR6x2UD58CBA5g5cybmzJkDAFi5ciU+/fRTHD16FG+88YaDq3MNLf8pOztZTa6lrz9AtB4E0Xwequuwan19UkfXKnW2J9b23FZHgWVtG1v3tGwNuI50Nyj7KgB7U3N3uGTg3L9/H5cvX0ZSUpLF8ujoaBQWFtr8OD19w+zOH8/d/cH8Ojs3NxkKLv8Dxnt3oRrqgdp7DaiuuY9hfoMsbv9TwBAMGTQAAapBGDxoAIZ42uc2gB5vr6wzIcB3oF3rs/ttP08MfEjep78XqW5X1zbA1NAITw8F/unhIb1+nIf9PPHFlVLza3CwpztMpubHb2wSMDU0AoDFfVu2adumo9f8cNVgVNfd77SNtdtegwdg0rhh5tAruPwPm9v3xf/l6pr7AACvwQMwLWpwj97/utrGJQOnvLwcjY2N8PPzs1ju6+uLgoICmx/Hx2dQX5fWztCh9n8Oe5kWNcrRJRC5LCn/f3X0XL6+g/v8eR7Mj9dERPTAccnA8fHxgVwuh06ns1iu1+uhUqkcVBURUf/mkoEzYMAAjBs3rt3hs4KCAmg0GgdVRUTUv7nkORwASExMRGpqKkJDQxEeHo6jR4+itLQUc+fOdXRpRET9kssGzvTp01FeXo5du3ahtLQUwcHBePvttzFixAhHl0ZE1C/JhBC8komIiOzOJc/hEBGR82HgEBGRJBg4REQkCQYOERFJgoEjofnz5yMkJMTiZ+nSpV1ud/LkSUyfPh3jx4/H9OnT8ac//UmCaturqKhARkYGpk2bhtDQUEyePBmrV69GeXl5p9vl5+e363dISAjq6+slqTs3NxdxcXGYMGECZs2ahQsXLnTa/q9//StmzZqFCRMm4Mc//jGOHj0qSZ0d2bNnD2bPno3w8HA8+eSTSE5OxtWrVzvdpqSkpMPf99mzZyWq2lJ2dna7WqKjozvdRqvVYt68eQgNDUVsbCx27NgBR45viouL6/B3unjxYqvbdNRe6tfS+fPnkZycjNjYWISEhCA/P99ivRAC2dnZiImJQWhoKObPn49r1651+bg9fk8SJJl58+aJtLQ0UVpaav6pqqrqdJuvv/5ajBkzRuzcuVNcv35d7Ny5U4wZM0ZcvHhRoqp/oNVqxSuvvCL+/Oc/i1u3bokvv/xSTJ8+XSQmJna63bvvvivCwsIs+l1aWipJzSdOnBBjx44V77zzjrh+/bpIT08XarVafPfddx22//bbb0VYWJhIT08X169fF++8844YO3as+OijjySpt62kpCSRl5cntFqt+Pvf/y5++ctfikmTJony8nKr29y+fVsEBweLs2fPWvy+6+vrJaz8B9u3bxfx8fEWtej1eqvtq6urxaRJk8Rrr70mtFqt+PDDD4VarRb79++XsGpLer3eov7Lly+LkJAQkZ+fb3Wb4OBgcezYMYvt6urqJKxaiNOnT4stW7aIDz/8UISGhop3333XYv2ePXuEWq0WH330kdBqteK1114T0dHRorq62upj9uY9iYEjoXnz5om1a9d2a5v/+I//EAsWLLBY9uKLL4qlS5f2ZWk9dvr0aRESEtLpC/Tdd98VarVawqp+8NOf/lQsX77cYtnTTz8tsrKyOmy/efNm8fTTT1ss+/Wvfy3mzJljtxq7o6amRjz++OPi448/ttqmJXD+9re/SViZddu3bxfPPvusze1zc3OFRqOxeHP+7W9/K2JiYkRTU5M9Suy2nTt3ioiIiE4DJDg4WHz44YcSVtU5tVptEThNTU0iOjpa7Ny507ysrq5OqNVqcfToUauP05v3JB5Sk9iJEycQGRmJZ599Fps2bUJNTU2n7S9evNju8ENMTEy3plmwp5qaGgwYMAAeHp3Pj3Lv3j1MmTIFTz31FF566SUUFRXZvbaWaSra/v46m6bC2u/70juN/r4AAAmbSURBVKVLaGhosFuttjIajWhqasKQIUO6bLtkyRJERUVh7ty5+OijjySozrrbt28jJiYGcXFxWLp0KW7fvm217cWLFzFx4kSL11RMTAxKS0tRUlIiRbmdEkIgLy8PP/nJT7p83a9fvx6RkZGYPXs2jh49iqamJomq7FpJSQnKysosXu8eHh544oknOn1/6c17kst+04AzmjFjBoYPHw5/f39cv34dW7ZsgVarRU5OjtVtdDpdu2kW/Pz8UFZWZu9yu1RVVYXf/OY3mDNnDhQK6y+lUaNGYcOGDXj88cdhNBpx6NAh/PznP8d///d/45FHHrFbfT2ZpkKn0yEqKspimZ+fH0wmE8rLy+Hv72+3em2xfv16jBkzptPvBPT09MSyZcsQHh4OuVyOTz75BEuXLkV9fT3+9V//VcJqm4WGhiIzMxOjR4+GwWDArl27MHfuXBw/fhw+Pj7t2ut0OgwbNsxiWcvfUKfTITAwUJK6rTl37hxKSkrMkzta89prryEyMhKDBg3C559/jk2bNqG8vBy//OUvJaq0cy3vIR39/ygtLbW6XW/ekxg4vbRt2zbs3r270zaHDh1CZGQk/u3f/s28LCQkBIGBgfjZz36Gy5cvY9y4cfYu1aru9KGF0WhEcnIyhg0bhpSUlE631Wg0Fm+QGo0Gzz//PA4fPowVK1b0rvh+JDMzE1999RWOHj0KuVxutZ1SqbSYfHDChAkoLy/Hvn37HBI4kydPtrgfFhaGqVOn4r333kNiYqLk9fTWsWPHMGHCBDz++OOdtnvllVfMt8eMGYPGxkbs3r3baQLHERg4vfTiiy/iJz/5Sadthg8f3uHy8ePHQy6X45tvvrEaOH5+fu2mWdDpdH06zUJ3+2A0Gs2jc3bv3o2HHnqoW88nl8sxfvx43Lp1q9u1dkdPpqnw8/ODXq+3WKbT6aBQKDr8NC6VDRs24IMPPsDBgwd79Ak/LCys3QglRxk0aBAeffRRq39/a3+DlnWOpNfr8cknn2DVqlXd3jYsLAw1NTUd7iE4Qsv/AZ1OZ/H/W6/Xd1pfb96TGDi9pFQqoVQqe7Tt1atX0djY2OkfSq1Wo6CgAL/4xS/My/p6moXu9KGmpgaLFi2CEAL79u3DoEHdn7FUCAGtVouQkJBub9sdraep+Jd/+Rfz8oKCAjzzzDMdbqNWq/HnP//ZYllBQQHGjx8Pd3d3u9Zrzbp16/Dhhx/i0KFDCAoK6tFjXLlyxWnmgqqvr8fNmzct9phbU6vVyMrKQn19vfnDTEFBAfz9/TFy5EgpS20nPz8f7u7uePbZZ7u97ZUrV/DQQw/ZdP5NCiNHjoRKpUJBQQFCQ0MBNP9tLly4gNTUVKvb9eo9qbsjHahnvvnmG5GdnS3+9re/idu3b4vTp0+LadOmieeff16YTCZzu4SEBIsRVF999ZUYM2aM2LNnj7h+/brYvXu3GDt2rEOGRVdXV4s5c+aI6dOni5s3b1odctu2D9nZ2eLs2bPi22+/FUVFRSItLU2MHTtW/M///I/daz5x4oQYN26cOHbsmLh+/brIyMgQarValJSUCCGESElJESkpKeb2LcOi161bJ65fvy6OHTsmxo0b57Bh0WvWrBEajUYUFBRY/L5ramrMbbKyskRCQoL5fn5+vnj//ffF9evXxY0bN8S+ffvEuHHjxIEDBxzQAyE2btwovvzyS/Htt9+KixcvisWLFwuNRmP+G7Stv6qqSkyaNEn86le/ElqtVpw8eVJoNBqHDosWonlU1zPPPNNu1KMQQvzud78T8fHx5vsff/yxeOedd4RWqxXffPONOHbsmAgPDxcZGRlSlixqampEUVGRKCoqEqGhoSI7O1sUFRWZLwvYs2ePCA8PFydPnhRarVb86le/ajcsui/fk7iHIxF3d3d88cUX+N3vfgej0YiAgABMnjwZr776qsXx+Nu3byMgIMB8Pzw8HFu3bsVbb72F7du3IzAwENu2bUNYWJjkfbh8+TIuXrwIAIiPj7dY1/ocT9s+VFVVYdWqVSgrK4OXlxfGjh2Lw4cPmz9V2VNX01R8//33Fu0DAwPx9ttvIzMzE0ePHoW/vz+WL1/err9SOXLkCABgwYIFFstfffVVLFmyBEDzyd+2o7527dqFO3fuwM3NDY888gjWr1/vkPM3AHD37l28/vrrqKiogI+PD9RqNY4dO2b+G7St38vLCzk5OUhPT8fs2bPh7e2NpKQkh5/v+fLLL3Hr1i28+eab7daVl5fj5s2b5vsKhQJHjhxBZmYmhBAIDAzEa6+9hhdeeEHKknHp0iUkJCSY72dnZyM7OxszZ87Exo0bsWjRItTX1yM9PR2VlZUICwtDTk4OBg8ebN6mL9+TOD0BERFJgtfhEBGRJBg4REQkCQYOERFJgoFDRESSYOAQEZEkGDhERCQJBg4REUmCgUP0gLt//z4yMjIQGRkJtVqN5ORk3L1719FlEbXDwCF6wK1fvx4nT57E1q1bkZubC6PRiJdeegmNjY2OLo3IAr9pgMiJ1NbWYs2aNfjTn/6EgQMH4sUXX8TXX38NHx8fbNy4sV376upqREVFYcOGDeZv/P7+++8xZcoU7N27F7GxsVJ3gcgq7uEQOZGNGzfi/Pnz2LFjBw4ePIi///3vuHDhgtX2LTORxsTEmJcFBAQgKCjIaWaFJWrBwCFyEkajEfn5+fjP//xPREdH47HHHsP69evh5mb9v6lOp4NcLm83V4+vr2+7OUuIHI2BQ+Qkbt++jYaGBotv0fb09MRjjz0GoHmyu5bZUzUaDe7cueOoUol6hNMTED0g5s6dazGRnL+/P/z8/NDY2Ijy8nKLSfT0ej0mTpzoiDKJrOIeDpGTCAwMhLu7O/73f//XvKyurg7Xrl0DAAwdOhQ/+tGPzD8KhcI8E+m5c+fM29y9exc3btzo01lhifoC93CInMSgQYMwa9YsZGVlwcfHByqVCrt27UJTUxNkMlmH23h5eWH27Nl488034evri6FDhyIzMxMhISGYNGmSxD0g6hwDh8iJLFu2DHV1dXj55Zfh6emJBQsWQKfTYcCAAVa3Wb58ORQKBZYuXYp79+4hKioKmzdvtphJlsgZ8DocIid2//59TJkyBQsXLkRSUpKjyyHqFe7hEDmRoqIi3LhxA6GhoTAajdi7dy+MRiOmT5/u6NKIeo2BQ+RkDhw4gJs3b0KhUODxxx/H4cOH8fDDDzu6LKJe4yE1IiKSBIdFExGRJBg4REQkCQYOERFJgoFDRESSYOAQEZEkGDhERCSJ/wcltSCM7nbOMQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "14px7AnhB7jM",
        "outputId": "34fde29a-c256-4d9f-d803-17b6bd6c627a"
      },
      "source": [
        "dados['g-19'].hist(bins = 100)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c5de9f90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 160
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 307
        },
        "id": "MylCzjcuTCDO",
        "outputId": "4c6271ce-fc5a-4830-b181-237cb59063f6"
      },
      "source": [
        "sns.histplot(data=dados['g-19'],bins=100) # Versão com o Seaborn"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c5c00190>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 161
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "lwY18jcCD7Kb",
        "outputId": "b54f3f1d-4408-4299-b41e-68e8578bc160"
      },
      "source": [
        "dados.loc[:,'g-0':'g-771'].describe().T['mean'].hist(bins=30)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c667da50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 162
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 307
        },
        "id": "GmCMj1VpTG2u",
        "outputId": "60b0e2ca-f0ea-4831-95e7-2a00161f6d19"
      },
      "source": [
        "sns.histplot(data=dados.loc[:,'g-0':'g-771'].describe().T['mean'],bins=30) # Versão com o Seaborn"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c6eb9810>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 163
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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pVi+UiIhsRxoWPj4+2LJlC+bNm4elS5dCiKvTaKhUKsTFxWHu3Lm8wpqIqJMz66K8O+64A6tXr0Z1dTV+/fVXAMCdd96J7t27W7U4IiKyD22aSLB79+6GqTiIiOjmYfZEgkREdPNiWBARkRTDgoiIpBgWREQkxbAgIiIphgUREUkxLIiISIphQUREUgwLIiKSYlgQEZEUw4KIiKQYFkREJMWwICIiKYYFERFJMSyIiEiKYUFERFIMCyIikmJYEBGRFMOCiIikGBZERCTFsCAiIimGBRERSTEsiIhIysXWBVDn49XdDV27mH5pqdWeCldD1tCobzL7udRd1qOmusHKFZG1MSzI4rp2cUH6ss+bLXd1dUFjo97w8+JpQ5UsiyzI1cXJ5HNsCp/nzoG7oYiISIphQUREUgwLIiKSYlgQEZEUw4KIiKQYFkREJKVYWOTn52PMmDGIiopCdHQ0UlNTceLECaMxQgjk5eUhLi4OYWFhmDhxIk6ePKlUiURE1ALFwuLAgQN46qmnsGXLFqxduxbOzs5ISkrCxYsXDWNWr16NwsJCzJkzB9u3b0ePHj2QlJSEuro6pcokIiITFAuLd955B2PGjEFwcDBCQkKwaNEiXLhwAYcPHwZwdati3bp1SElJQUJCAoKDg5GTk4P6+nrs2rVLqTKJiMgEmx2zqK+vR1NTE7y8vAAA5eXl0Gg0iI2NNYzp1q0bBg4ciCNHjtiqTCIigg2n+3jttdfQt29fREZGAgA0Gg0AwNfX12icj48PKioq2rRuHx8PyxRpI51h/iRXV9MvrRuXtzTO3PXZyzhbPra1x5n7XLbGHl/T9liTpVijN5uERXZ2Ng4dOoTNmzfD2dnZ4uvXauvQ1CQsvl4lqNWe0GhqbV1Gh6jVnkZzQF1z49xQAEyOM8Wex137o2nPNbZ3nKnnrK3rA2B3r+nO8D5rSXt6c3JSST9kK74bKisrC0VFRVi7di38/f0Ny9VqNQCgsrLSaLxWq222tUFERMpSNCwWLFhgCIqgoCCj2/z8/KBWq1FcXGxYptPpUFJSYthVRUREtqHYbqhXX30VH374IVasWAEvLy/DMQp3d3fccsstUKlUSExMRH5+PgIDAxEQEIBVq1bB3d0do0aNUqpMIiIyQbGw2LRpEwBg8uTJRstfeOEFpKWlAQCSk5Oh0+mQmZmJ6upqhIeHo7CwEB4ejn3AmojI0SkWFqWlpdIxKpUKaWlphvAgIiL7wLmhiIhIimFBRERSDAsiIpJiWBARkRTDgoiIpBgWREQkxbAgIiIphgUREUkxLIiISIphQUREUgwLIiKSstk35RHRzaFR32TWN7fpLutRU92gQEXUHgwLIrIqVxcnpC/7XDpu8bShClRD7cXdUEREJMWwICIiKYYFERFJMSyIiEiKYUFERFI8G8rBeHV3Q9cu8qfN3NMQzV1fW9ZJRJ0Pw8LBdO3iYtHTEM1dX1vWSUSdD3dDERGRFMOCiIikGBZERCTFYxZ24voDzebMo0PU2XAOKfvGsLAT1w40u7q6oLFR3+I4HmSmzopzSNk37oYiIiIpbll0UuZu0tt6nUTkGBgWnZQ1Num5m4Do5sXdUEREJMWwICIiKYYFERFJMSyIiEiKYUFERFI8G4qIHIqlr/S29LT/nRXDgogciqVP4bb0tP+dFXdDERGRFLcsbsBNUiKi5hgWN+AmKRFRc9wNRUREUnYZFhs3bkR8fDwGDBiAxx9/HCUlJbYuiYjopmZ3YbF7925kZWUhNTUVO3bsQGRkJJKTk3Hu3Dlbl0ZEdNOyu2MWa9aswWOPPYZx48YBAObMmYMvv/wSmzdvxssvv2zj6v6H3+pFZN9k71FHmm6/LSfeWItdhcXly5dx/PhxTJkyxWh5bGwsjhw5YvZ6nJxUHarD27OrdIyrixOyCvdLx82aEm12Pd6eXeHi6gJ9o3OH67PGuI6u01RvturFkuNcXF1s9tjWHtfa61Gp1017x7X2Hr3a19U/rLOmRJv9uB3929JeXbu4mP33Bmh7neaMVwkhRJvWakV//PEHhgwZgg0bNmDgwIGG5cuXL8fOnTuxd+9eG1ZHRHTzsrtjFkREZH/sKiy8vb3h7OyMyspKo+VarRZqtdpGVRERkV2FRZcuXdCvXz8UFxcbLS8uLkZkZKSNqiIiIrs6wA0ASUlJeOWVVxAWFoaoqChs3rwZFRUVGD9+vK1LIyK6adldWIwYMQJVVVVYtWoVKioqEBwcjIKCAtxxxx22Lo2I6KZlV2dDERGRfbKrYxZERGSfGBZERCTFsCAiIimGBRERSTEsFHT58mXMnz8fgwYNQkREBFJTU3H+/PlW75OXl4eQkBCjf7GxsUZjhBDIy8tDXFwcwsLCMHHiRJw8edKarTTTnt7y8/MxZswYREVFITo6GqmpqThx4oTRmJkzZzbr/9okk9bS1inyDxw4gMcffxwDBgzAAw88gM2bN3d4ndbQlhr27duHKVOmIDo6GpGRkRg7diw+/fRTozHvv/9+s+cmJCQEOp3O2q0005bevv32W5N1nzp1ymjc3r17MWLECPTv3x8jRozAJ598Yu02mmlLX6beKyEhIYiIiDCMMbd3kwQpZu7cuSI2NlZ89dVX4vvvvxdPP/20eOSRR4Rer2/xPrm5uSIhIUFUVFQY/mm1WqMx+fn5IiIiQuzZs0eUlpaKF198UcTGxora2lprt2TQnt6mTJkitm/fLkpLS8VPP/0kpk6dKgYPHiyqqqoMY2bMmCEmT55s1P/1t1taUVGRCA0NFVu3bhVlZWUiMzNTREREiN9++83k+DNnzojw8HCRmZkpysrKxNatW0VoaKjYs2dPu9dpDW2tYf78+SI/P19899134pdffhF5eXni7rvvFgcPHjSMee+990R4eLjRc1NRUaFUSwZt7W3//v0iODhYnDx50qju61+rhw8fFn379hUrV64UZWVlYuXKlaJv377i6NGjSrXV5r5qamqaPRcPPPCAmDlzpmGMOb23hGGhkJqaGtGvXz/x4YcfGpadO3dOhISEiC+++KLF++Xm5oqRI0e2eHtTU5OIjY0VK1euNCxraGgQERERYvPmzZYpXqK9vd2orq5O3H333eLTTz81LJsxY4ZISUmxaL2teeKJJ8Ts2bONlj300EPi9ddfNzl+0aJF4qGHHjJaNmvWLDFu3Lh2r9MaLFHDmDFjRHZ2tuHn9957T0RERFisxvZqa2/X/mDe+KHretOmTROTJ082WjZp0iQxffr0jhdspo4+ZyUlJSI4OFgcOnTIsMyc3lvC3VAK+f7779HY2Ii4uDjDsttvvx1BQUHS6dfPnj2LuLg4xMfHY/r06Th79qzhtvLycmg0GqNdU926dcPAgQPbNK17R3Skt+vV19ejqakJXl5eRssPHTqEmJgYJCQkICMjA1qt1mK1X+/aFPk37uZrbYr8o0ePNhsfFxdn+J20Z52WZqka6uvrmz03ly5dwrBhwzBkyBA8++yz+OGHHyxSs7k60tsTTzyBuLg4TJo0Cfv3G0//3dLz6kjP2b///W/cddddiIqKanZba723hGGhkMrKSjg7O8Pb29touY+PT7OJE68XFhaG7OxsvP3221iwYAEqKysxfvx4VFVVAQA0Gg0AwNfXt03rtaT29naj1157DX379jWaB+y+++5DTk4O3n33XcyYMQPHjh3DpEmTcPnyZYvVf01VVRWuXLli8nd57fd8o8rKSvj4+Bgt8/X1hV6vR1VVVbvWaWmWqGHjxo04f/48Hn30UcOy3r17IysrCytXrsSSJUvQtWtXPPnkk/jll18sWX6r2tObWq3GvHnzkJubi7y8PPTu3RuTJ082Oh5QWVnZbJ2+vr4O85zV1tbi448/xtixY42Wm9N7S+xuug9Hs3TpUrz11lutjlm3bl271z906FCjn8PDw/Hggw9ix44dSEpKavd6zWHt3q6XnZ2NQ4cOYfPmzXB2/t+X7YwcOdLw/5CQEPTr1w/x8fH47LPPMHz4cIs8NrVu7969WLRoEZYuXWo07U5kZKRRsEdGRmL06NHYsGEDMjIybFGqWQIDAxEYGGj4OTIyEr/99hvefvtt/PWvf7VhZZbz0UcfoampySjcgY71zrDooEmTJuGRRx5pdUyvXr1w9OhRXLlyBVVVVejRo4fhNq1W26YX6C233II+ffoYPr1dm7q9srISvXr1MlrvjZ9K2kqp3rKysrB7926sXbsW/v7+rY697bbbcNttt1nl02t7psj39fVttlussrISLi4u8Pb2hhDC5tPud2Tq/z179mDGjBnIyclBfHx8q2OdnZ3Rv39/RbcsLPW1BuHh4SgqKjL87Ovr22ydlZWVDvGcAcC2bdswfPhw3HrrrdKxN/beEu6G6qAePXogKCio1X9ubm7o378/XF1d8fXXXxvue/78eZw6dapN06/rdDqcPn3a8ILx8/ODWq02mtZdp9OhpKSkw9O6K9HbggULUFRUhLVr1yIoKEha04ULF1BRUYGePXt2qDdT2jNFfkREhMnx134n9jDtfntr2L17N1555RVkZ2fjb3/7m/RxhBAoLS1V9LtnLPX7/fHHH43qbul5tffnDACOHTuGn376yexTzG/svUVtPiRO7TZ37lxx3333ia+//locP37c5OmlCQkJYv369YafFy5cKL799ltx5swZcfToUZGSkiIiIyNFeXm5YUx+fr6IiooSe/fuFaWlpeKll16yyamzbe1t3rx5IjIyUhQXFxudxldXVyeEuHp21MKFC8Xhw4fF2bNnxf79+8W4cePEfffdZ7XeioqKRL9+/cS2bdtEWVmZmD9/voiIiDD8vtPT00V6erph/LVTZxcsWCDKysrEtm3bRL9+/ZqdOtvaOpXQ1r527dolQkNDxbvvvtviact5eXniiy++EGfOnBE//PCDmDlzpggNDRXfffedYn21p7c1a9aITz75RJw+fVqcOHFCvP766yI4OFjs3bvXMObQoUOib9++Ij8/X5SVlYm33npLhIaGKn7qbFv6umbWrFli+PDhJtdpTu8t4W4oBc2ePRsuLi6YPn06Ll26hJiYGCxatMhoH/3p06cNB6+Bq5/Q//GPf+DixYvw9vZGREQEtm3bZrTvODk5GTqdDpmZmaiurkZ4eDgKCwvh4eFh171t2rQJADB58mSjdb3wwgtIS0uDs7MzTpw4gR07dqC2thZqtRqDBg3Cm2++abXeZFPk//7770bj/f39UVBQgOzsbGzevBk9e/bE7NmzkZCQYPY6ldDWvrZs2QK9Xo+srCxkZWUZlt97771Yv349AKCmpgZz586FRqOBp6cnQkNDsWHDBoSFhSnWF9D23hobG7Fo0SKcP38e3bp1Q58+fVBQUGB0fDAqKgpLlizBm2++idzcXPj7+2Pp0qUIDw+3274AoK6uDrt378bUqVNNrtOc3lvCKcqJiEiKxyyIiEiKYUFERFIMCyIikmJYEBGRFMOCiIikGBZERCTFsCAiIimGBRERSTEsiIhIitN9EElMnDgRgYGBcHNzw/vvvw8nJyc899xzePLJJ5GdnY2dO3fCw8MDL730EkaPHg0A+OOPP7Bw4UJ89dVXAK5OBT1r1iwEBAQAAM6cOYPs7GwcO3YM9fX16N27N1588UUMGzbM8Ljx8fF44okncP78eezatQseHh5ITEzEM888o/jvgIhbFkRm2LlzJ2655RZs27YNKSkpyMrKwtSpUxEQEID33nsPo0ePRkZGBioqKtDQ0IDExER07doV69evx5YtW6BWq5GUlISGhgYAwJ9//okhQ4agsLAQH374IYYPH460tDScOnXK6HHXrl2L4OBgfPDBB0hOTsbixYsV+7Y2outxbigiiYkTJ+Ly5cvYunUrgKtTccfExCAiIsLw5VCNjY2IjIzE66+/jrq6OhQUFGDv3r1QqVQAgCtXrmDw4MH4v//7P4wYMcLk44wbNw7333+/YRK4+Ph4REREYMmSJYYxw4cPx+jRo1ucKI7IWrgbisgMISEhhv+rVCr4+PgYLXN1dYWXlxe0Wi3KyspQXl7e7LuPGxoaDN+f/ueff2L58uX47LPPoNFooNfrodPpjNZ54+MCQM+ePXHhwgVLt0ckxeVDAB0AAAEhSURBVLAgMoOLi/FbRaVSmVwmhEBTUxPuvvtuLF26tNl6unfvDgDIycnBl19+iRkzZuDOO++Em5sbZsyYgcbGRunjNjU1WaIlojZhWBBZWL9+/VBUVARvb294eXmZHHP48GGMHj3a8L0XOp0OZ86cMRwAJ7I3PMBNZGEPP/wwfHx8MHXqVBw4cABnz57FwYMHsXDhQsP3UwcEBOCTTz7B8ePHUVpaivT0dOh0OtsWTtQKblkQWZibmxs2btyIN954A9OmTUNtbS169uyJQYMGGbY0Zs6cidmzZ2PChAnw8vLCpEmTGBZk13g2FBERSXE3FBERSTEsiIhIimFBRERSDAsiIpJiWBARkRTDgoiIpBgWREQkxbAgIiIphgUREUn9P8R5VPrs3DQ5AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "-t-azABgD_HT",
        "outputId": "4c612046-a57c-481c-c4a8-6503bfb43b76"
      },
      "source": [
        "dados.loc[:,'g-0':'g-771'].describe().T['min'].hist(bins=30)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c66e5bd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 164
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 307
        },
        "id": "Sg5q3nrPTXSG",
        "outputId": "ab6e1280-68a0-4686-db2b-f066e7bbc20e"
      },
      "source": [
        "sns.histplot(data=dados.loc[:,'g-0':'g-771'].describe().T['min'],bins=30) # Versão com o Seaborn"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c591b410>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 165
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "jNn5vsHTD_2z",
        "outputId": "d08bd518-4c47-4d72-8e06-656abc63a20f"
      },
      "source": [
        "dados.loc[:,'g-0':'g-771'].describe().T['max'].hist(bins=30)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c58f6b50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 166
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 307
        },
        "id": "hG0sQdsmTgeu",
        "outputId": "d96142da-0a63-48de-ab07-3eef9ea054ed"
      },
      "source": [
        "sns.histplot(data=dados.loc[:,'g-0':'g-771'].describe().T['max'],bins=30) # Versão com o Seaborn"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c582af90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 167
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZMAAAERCAYAAAC+ZEqyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAcyElEQVR4nO3df1RUdf7H8deoGE0CKzDVkp0QVthKoYHsYEgkx7N0ynbz7KmtdWElk2xtd0vD1lIINEJNW38dQohW80d2+rWbeqxtM49n6YfWcLZN87jSZh49MYChwoYi9/tH36YIk8HPMMPA8/FXfe5nuO/7Ee5rPvczd67NsixLAAAYGBToAgAAwY8wAQAYI0wAAMYIEwCAMcIEAGCMMAEAGCNMAADGhgRqxxUVFVq2bJmmTJmiwsJCSZJlWVq1apU2b96s48ePKzk5WYWFhRo1apTndc3NzVq4cKHeeustSVJWVpbmz5+v8PDwHu3/2LEWdXQM7FtsoqKGqbHxZKDL6DcYT99jTH3vfMd00CCbhg+/6Ae3ByRMamtrtXnzZiUmJnZqr6ysVHV1tcrKyjRy5EitXr1aeXl52r59u4YNGyZJmj17to4ePaqqqipJ0rx58zRnzhw9/fTTPaqho8Ma8GEiiTHwMcbT9xhT3+uNMfX7Za4TJ07ooYceUmlpqSIiIjztlmVp3bp1ys/PV3Z2thISErRo0SK1tLRoy5YtkqSDBw9q165dKikpkdPplNPpVHFxsXbs2KG6ujp/HwoA4P/5PUzmz5+v7OxspaWldWo/fPiw3G630tPTPW2hoaEaO3asXC6XJMnlcslutyslJcXTJzU1VXa73dMHAOB/fr3M9cILL+jQoUNasmRJl21ut1uSFB0d3ak9KipK9fX1kqSGhgZFRkbKZrN5tttsNkVGRqqhoaFHtURFDetp+f2SwxEW6BL6FcbT9xhT3+uNMfVbmNTV1WnZsmXauHGjQkJC/LXbH9TYeHLAX4t1OMLkdp8IdBn9BuPpe4yp753vmA4aZDvnm3C/hUltba2OHTumSZMmedrOnDmj3bt36/nnn/esizQ0NCgmJsbTp7Gx0TNbiY6OVlNTkyzL8sxOLMtSU1NTlxkNAMB//BYmEydO1OjRozu1zZ07V7Gxsbr33ns1cuRIORwO1dTUKCkpSZLU1tamPXv2aM6cOZIkp9Op1tZWuVwuz7qJy+VSa2urnE6nvw4FAPA9fguT8PDwLveC2O12RUREKCEhQZKUm5uriooKxcXFKTY2VuXl5bLb7Z7ZTHx8vDIyMlRUVKSSkhJJUlFRkSZMmKC4uDh/HQoA4HsCdtPi2UyfPl1tbW0qKSlRc3OzkpOTVV1d7bnHRJKWLl2qBQsWaNq0aZK+vmnxm5seAWCgCo+4UBcM7f6Ufrq9o1f2bxuoT1pkAZ7FTV9jPH2PMfWewxGmguU7u+235I+ZvbIAz3dzAQCMESYAAGOECQDAGGECADBGmAAAjBEmAABjhAkAwBhhAgAwRpgAAIwRJgAAY4QJAMAYYQIAMEaYAACMESYAAGOECQDAGGECADBGmAAAjBEmAABjhAkAwBhhAgAwRpgAAIwRJgAAY4QJAMAYYQIAMEaYAACMESYAAGOECQDAGGECADBGmAAAjBEmAABjhAkAwBhhAgAwRpgAAIwRJgAAY4QJAMAYYQIAMEaYAACMESYAAGOECQDAGGECADBGmAAAjBEmAABjfguTDRs26NZbb1VKSopSUlL0q1/9Sm+//bZnu2VZWrlypcaPH6+kpCTl5OTowIEDnX5Gc3OzCgoKlJqaqtTUVBUUFOj48eP+OgQAwA/wW5hccskleuihh/TKK6/opZdeUlpammbOnKlPPvlEklRZWanq6mrNnz9fL774oiIjI5WXl6eTJ096fsbs2bO1d+9eVVVVqaqqSnv37tWcOXP8dQgAgB/gtzCZOHGiMjMzdcUVV2jkyJF68MEHddFFF6m2tlaWZWndunXKz89Xdna2EhIStGjRIrW0tGjLli2SpIMHD2rXrl0qKSmR0+mU0+lUcXGxduzYobq6On8dBgDgLAKyZnLmzBlt3bpVra2tcjqdOnz4sNxut9LT0z19QkNDNXbsWLlcLkmSy+WS3W5XSkqKp09qaqrsdrunDwAgMIb4c2f79+/XnXfeqba2Ntntdq1atUqJiYn68MMPJUnR0dGd+kdFRam+vl6S1NDQoMjISNlsNs92m82myMhINTQ09LiWqKhhBkfSfzgcYYEuoV9hPH2PMfVeSIh3p/TeGFO/hsnIkSP16quv6sSJE3r99df18MMP67nnnvNnCR6NjSfV0WEFZN99hcMRJrf7RKDL6DcYT99jTL3ncITp9Ol2r/qez5gOGmQ755twv17mGjp0qK644gqNHj1as2fP1pVXXqm//OUvcjgcktRlhtHY2OiZrURHR6upqUmW9W0AWJalpqamLjMaAIB/BfQ+k46ODp06dUojRoyQw+FQTU2NZ1tbW5v27Nkjp9MpSXI6nWptbe20PuJyuTzrLgCAwPHbZa4nn3xSN954oy699FLPp7Tef/99VVRUyGazKTc3VxUVFYqLi1NsbKzKy8tlt9s1adIkSVJ8fLwyMjJUVFSkkpISSVJRUZEmTJiguLg4fx0GAOAs/BYmDQ0NKigokNvtVlhYmBITE1VZWamMjAxJ0vTp09XW1qaSkhI1NzcrOTlZ1dXVGjbs22t0S5cu1YIFCzRt2jRJUlZWlgoLC/11CACAH2CzvrsIMYCwAM/ipq8xnr7HmHrP4QhTwfKd3fZb8sfM4F+ABwD0T4QJAMAYYQIAMEaYAACMESYAAGOECQDAGGECADBGmAAAjBEmAABjhAkAwBhhAgAwRpgAAIwRJgAAY4QJAMAYYQIAMEaYAACMESYAAGOECQDAGGECADBGmAAAjBEmAABjhAkAwBhhAgAwRpgAAIwRJgAAY16Hye7du9Xe3t6lvb29Xbt37/ZpUQCA4OJ1mOTm5qq5ublL+4kTJ5Sbm+vTogAAwcXrMLEsSzabrUv7l19+qQsvvNCnRQEAgsuQ7jrMmDFDkmSz2VRQUKCQkBDPto6ODh04cEBOp7P3KgQA9Hndhsnw4cMlfT0zCQ8PV2hoqGdbSEiIUlNTdfvtt/dehQCAPq/bMHniiSckSZdddpnuvvtu2e32Xi8KABBcug2Tb9x///29WQcAIIh5HSZffvmlnnrqKb377rtqbGxUR0dHp+0ffvihz4sDAAQHr8Pk0Ucf1b59+3THHXfo4osvPusnuwAAA5PXYfLOO+/o2WefVXJycm/WAwAIQl7fZxIVFcXiOwDgrLwOkwcffFArVqxQS0tLb9YDAAhCXl/mKi8v1+HDh3X99dcrJiZGQ4Z0fulrr73m8+IAAMHB6zDJzs7uzToAAEGM+0wAAMZ4ngkAwJjXMxOn03nOe0u4aREABi6vw6SwsLDT/7e3t2vv3r164403PN8sfC4VFRV644039Omnn2ro0KG65pprNGvWLCUkJHj6WJalVatWafPmzTp+/LiSk5NVWFioUaNGefo0Nzdr4cKFeuuttyRJWVlZmj9/vsLDw709FACAj3kdJpMnTz5r+1VXXaV3331XOTk553z9+++/r1//+tcaM2aMLMvSihUrlJeXp61bt+pHP/qRJKmyslLV1dUqKyvTyJEjtXr1auXl5Wn79u0aNmyYJGn27Nk6evSoqqqqJEnz5s3TnDlz9PTTT3t7KAAAHzNeM0lLS/PMEs7lmWee0S9/+UslJCQoMTFRixcvVlNTk+fymGVZWrdunfLz85Wdna2EhAQtWrRILS0t2rJliyTp4MGD2rVrl0pKSuR0OuV0OlVcXKwdO3aorq7O9FAAAOfJOEy2bt3qeeZJT7S0tKijo8Nzeerw4cNyu91KT0/39AkNDdXYsWPlcrkkSS6XS3a7XSkpKZ4+qampstvtnj4AAP/z+jLXrbfe2qWtoaFBzc3Neuyxx3q848cff1xXXnml5ymNbrdbkhQdHd2pX1RUlOrr6z37i4yM7PRBAJvNpsjISDU0NPRo/1FRw3pcc3/kcIQFuoR+hfH0PcbUeyEh3p3Se2NMz/umxW9O4tddd53i4+N7tNMnnnhCH3zwgTZt2qTBgwf36LW+0th4Uh0dVkD23Vc4HGFyu08Euox+g/H0PcbUew5HmE6fbveq7/mM6aBBtnO+Cff7TYulpaXatm2b1q5dq8svv9zT7nA4JH09+4iJifG0NzY2emYr0dHRampqkmVZntmJZVlqamrqMqMBAPhPj9dM3nnnHa1fv14bNmzQe++916PXLly4UFu3btXatWu7zGZGjBghh8OhmpoaT1tbW5v27NnjuRTmdDrV2traaX3E5XKptbXV0wcA4H9ez0y++OILzZw5Ux9//LEuvvhiSVJ9fb1Gjx6tVatW6ZJLLjnn64uLi/XXv/5Vq1evVnh4uGeNxG6366KLLpLNZlNubq4qKioUFxen2NhYlZeXy263a9KkSZKk+Ph4ZWRkqKioSCUlJZKkoqIiTZgwQXFxcec1AAAAc16HycKFCzV48GC98cYbnstTn3/+uQoKCvT4449rxYoV53z9xo0bJUlTp07t1H7//ffr97//vSRp+vTpamtrU0lJiZqbm5WcnKzq6mrPPSaStHTpUi1YsEDTpk2T9PVNi9+/oRIA4F82y7K8WoVOSUnRc889p6uvvrpT+0cffaSpU6fqgw8+6JUCewsL8Cxu+hrj6XuMqfccjjAVLN/Zbb8lf8zslQX4Hq2ZnO27uXgWPADA6zAZN26cFixYoKNHj3rajhw5otLSUo0bN65XigMABAev10zmzZun++67TxMnTuy0AJ+QkKB58+b1WoEAgL7P6zD58Y9/rFdeeUU1NTWe78GKj4/X9ddf32vFAQCCQ7eXuXbu3KmsrCydPHlSNptN6enpysnJUU5OjsaMGaOsrCz985//9EetAIA+qtsw2bBhg6ZNm9bp47nfCAsL0z333KO1a9f2SnEAgODQbZjs37//nAvsaWlp+uSTT3xaFAAguHQbJk1NTRo06Ie72Ww2ffnllz4tCgAQXLoNk0svvVT79+//we379+/v9qtUAAD9W7dhkpmZqeXLl+urr77qsu1///ufVqxYoczMzF4pDgAQHLr9aPB9992n119/XdnZ2ZoyZYrnCxXr6uq0fv16WZalGTNm9HqhAIC+q9swiYqK0vPPP6/HHntMTz31lL75Ki+bzabx48ersLCQZ4kAwADn1U2Ll112mSorK9Xc3KzPPvtMknTFFVcoIiKiV4sDAAQHr++Al6SIiAglJSX1Vi0AgCDV4yctAgDwfYQJAMAYYQIAMEaYAACMESYAAGOECQDAGGECADBGmAAAjBEmAABjhAkAwBhhAgAwRpgAAIwRJgAAY4QJAMAYYQIAMEaYAACMESYAAGOECQDAGGECADBGmAAAjBEmAABjhAkAwBhhAgAwRpgAAIwRJgAAY4QJAMAYYQIAMEaYAACM+TVMdu/erRkzZigjI0OJiYl6+eWXO223LEsrV67U+PHjlZSUpJycHB04cKBTn+bmZhUUFCg1NVWpqakqKCjQ8ePH/XkYAIDv8WuYtLa2KiEhQY8++qhCQ0O7bK+srFR1dbXmz5+vF198UZGRkcrLy9PJkyc9fWbPnq29e/eqqqpKVVVV2rt3r+bMmePPwwAAfI9fwyQzM1OzZs3STTfdpEGDOu/asiytW7dO+fn5ys7OVkJCghYtWqSWlhZt2bJFknTw4EHt2rVLJSUlcjqdcjqdKi4u1o4dO1RXV+fPQwEAfEefWTM5fPiw3G630tPTPW2hoaEaO3asXC6XJMnlcslutyslJcXTJzU1VXa73dMHAOB/QwJdwDfcbrckKTo6ulN7VFSU6uvrJUkNDQ2KjIyUzWbzbLfZbIqMjFRDQ0OP9hcVNcyw4v7B4QgLdAn9CuPpe4yp90JCvDul98aY9pkw8bfGxpPq6LACXUZAORxhcrtPBLqMfoPx9D3G1HsOR5hOn273qu/5jOmgQbZzvgnvM5e5HA6HJHWZYTQ2NnpmK9HR0WpqapJlfRsClmWpqampy4wGAOA/fSZMRowYIYfDoZqaGk9bW1ub9uzZI6fTKUlyOp1qbW3ttD7icrnU2trq6QMA8D+/XuZqaWnRoUOHJEkdHR06cuSI9u3bp4iICMXExCg3N1cVFRWKi4tTbGysysvLZbfbNWnSJElSfHy8MjIyVFRUpJKSEklSUVGRJkyYoLi4OH8eCgDgO/waJv/+97+Vm5vr+f+VK1dq5cqVmjx5ssrKyjR9+nS1tbWppKREzc3NSk5OVnV1tYYN+/Y63dKlS7VgwQJNmzZNkpSVlaXCwkJ/HgYA4Hts1ncXIAYQFuBZ3PQ1xtP3GFPvORxhKli+s9t+S/6Y2b8X4AEAwYswAQAYI0wAAMYIEwCAMcIEAGCMMAEAGCNMAADGCBMAgDHCBABgjDABABgjTAAAxggTAIAxwgQAYIwwAQAYI0wAAMYIEwCAMcIEAGCMMAEAGCNMAADGCBMAgDHCBABgjDABABgjTAAAxggTAIAxwgQAYIwwAQAYI0wAAMYIEwCAMcIEAGCMMAEAGCNMAADGCBMAgLEhgS4A6IvCIy7UBUO7//NoO9Wu483/80NFQN9GmABnccHQISpYvrPbfkv+mOmHaoC+j8tcAABjzEzQL3BZqu/h32RgIUzQL3h7Wap0ZoYcjjA/VAQuFQ4shAkGlJAhg/rNCY53/uhLCBP4nbcnQUk63X5GIUMG93JF5+90e0enmc4PzXp644TeX975f38Mv++bbcEQigM54AmTfsjbX+jT7We8uuTj6198b0+C0tcnwr58wvzuTCckZIhOn24/az9v6+tJ0Hqru5P1t/28C25f/z6ca7b43THtySVKb2vsyd+Kt29qfPn72hu/D70lOKpEj/TkHetA/cX3N29P6JJ3JyPJ+3+XnlzaC5bg7o63NQbqb8VbPX3jFUj85cNn+stll97Qn9ZqgkFPwhu+EbRhsmHDBj3zzDNyu90aNWqUHnnkEV177bWBLqtX8c4ffUEwnKj7engHwxj2VFCembZt26bS0lIVFRUpNTVVGzdu1PTp07V161bFxMQEujxJvbfI3Jf/QDAw9PUTdTDoj2MYlGHy7LPPavLkybrjjjskSfPnz9euXbu0adMmzZ49O8DVfa0/LTL3x3dRAHwr6MLk1KlT+vjjj3X33Xd3ak9PT5fL5fL65wwaZPN1aV0MD7vA530D0S9kyCCVVr/bbb9H7k7zeX096RvofkNChqj99A/PMAfy2Jxvv++PKWPjm77nc/7r7jU2y7KsHv/UAPriiy90ww03aP369Ro7dqynfdWqVXrttdf0+uuvB7A6ABiY+KJHAICxoAuT4cOHa/DgwWpoaOjU3tjYKIfDEaCqAGBgC7owGTp0qK6++mrV1NR0aq+pqZHT6QxQVQAwsAXdArwk5eXlac6cOUpKSlJKSoo2bdqk+vp63XnnnYEuDQAGpKAMk5tvvlnHjh1TeXm56uvrlZCQoDVr1uiyyy4LdGkAMCAF3ae5AAB9T9CtmQAA+h7CBABgjDABABgjTAAAxgiTAayiokKJiYkqKSkJdClBrb6+Xg8//LDS0tI0ZswY3XzzzXr//fcDXVbQOnPmjP785z8rKytLY8aMUVZWlp566im1t5/9KZbobPfu3ZoxY4YyMjKUmJiol19+udN2y7K0cuVKjR8/XklJScrJydGBAweM9xuUHw2GudraWm3evFmJiYmBLiWoHT9+XHfddZdSU1O1Zs0aDR8+XIcPH1ZUVFSgSwtalZWV2rhxo8rKypSQkKD9+/frT3/6k4YOHaqZM2cGurw+r7W1VQkJCbrtttv08MMPd9leWVmp6upqlZWVaeTIkVq9erXy8vK0fft2DRs27Lz3S5gMQCdOnNBDDz2k0tJSrV69OtDlBLWqqio5HA4tXrzY03b55ZcHsKLg53K5NGHCBGVlZUmSRowYoaysLP3rX/8KcGXBITMzU5mZXz+uYu7cuZ22WZaldevWKT8/X9nZ2ZKkRYsWady4cdqyZYvRjd9c5hqA5s+fr+zsbKWlpQW6lKD35ptvKjk5WQ888IDGjRunX/ziF1q/fr24fev8paam6r333tPBgwclSf/5z3/07rvv6oYbbghwZcHv8OHDcrvdSk9P97SFhoZq7NixPXqEx9kwMxlgXnjhBR06dEhLliwJdCn9wueff66NGzdq6tSpys/P1759+7Rw4UJJ0m9+85sAVxecpk+frpaWFt1yyy0aPHiw2tvbNWPGDE2ZMiXQpQU9t9stSYqOju7UHhUVpfr6eqOfTZgMIHV1dVq2bJk2btyokJCQQJfTL1iWpdGjR3ue8HnVVVfps88+04YNGwiT87Rt2za9+uqrWrp0qX7yk59o3759Ki0t1YgRI3T77bcHujz8AMJkAKmtrdWxY8c0adIkT9uZM2e0e/duPf/886qtrdXQoUMDWGHwcTgcio+P79QWFxeno0ePBqii4Ld48WLdfffduuWWWyRJiYmJOnLkiNasWUOYGPrmMR0NDQ2KiYnxtDc2NnaZrfQUYTKATJw4UaNHj+7UNnfuXMXGxuree+9ltnIeUlJS9Omnn3Zq++9//9vpDxU989VXX2nw4M6PPx48eLA6OjoCVFH/MWLECDkcDtXU1CgpKUmS1NbWpj179mjOnDlGP5swGUDCw8MVHh7eqc1utysiIkIJCQkBqiq4/fa3v9Vdd92l8vJy3Xzzzdq7d6+ee+45zZo1K9ClBa0JEyZozZo1GjFihOcy17PPPqvbbrst0KUFhZaWFh06dEiS1NHRoSNHjmjfvn2KiIhQTEyMcnNzVVFRobi4OMXGxqq8vFx2u73TFYvzwbcGD3A5OTkaNWqUCgsLA11K0Hr77be1bNkyffrpp4qJidGUKVOUk5Mjm80W6NKC0smTJ7V8+XK9+eabnieo3nLLLZo5c6YuuOCCQJfX57333nvKzc3t0j558mSVlZXJsiytWrVKmzdvVnNzs5KTk1VYWGj8hpIwAQAY4z4TAIAxwgQAYIwwAQAYI0wAAMYIEwCAMcIEAGCMMAEAGCNMAADGCBMAgDHCBOgFOTk5KioqUllZma677jqlpaVp7dq1OnXqlIqLi3Xttdfqxhtv1Kuvvup5zZNPPqns7GwlJSUpKytLixcvVltbm6Svv+o+Ly9PU6dO9Tx4q6WlRT/72c9UXFwckGMEvoswAXrJa6+9posuukgvvPCC8vPzVVpaqt/97neKjY3VSy+9pNtuu03z5s3zPJTowgsvVGlpqbZt26aioiJt27ZN5eXlkiSbzaaysjLt27dPzzzzjCRp4cKFCgkJOetzvgF/47u5gF6Qk5OjU6dOafPmzZK+nlmMGzdO11xzjZ5++mlJ0unTp+V0OvXkk0/qpptu6vIzNm3apOrqav3973/3tL355pt64IEHdM8996iqqkovvviifvrTn/rnoIBz4CvogV6SmJjo+W+bzaaoqKhObSEhIQoPD1djY6Mkafv27Vq7dq0OHTqk1tZWnTlzpsszPCZOnKhbb71V5eXlKigoIEjQZ3CZC+glQ4Z0fq9ms9nO2mZZlmprazVr1iyNHz9e5eXleuWVV/TAAw/o9OnTnfq3tbXpo48+0uDBgz3PrAD6AsIE6AM+/PBDXXLJJZo5c6aSkpIUGxurI0eOdOm3ePFinTp1StXV1Xr55Zf1j3/8IwDVAl0RJkAfEBsbqy+++EJ/+9vf9Pnnn2vjxo3asmVLpz47d+7U5s2btWTJEqWlpen+++/XvHnz5Ha7A1Q18C3CBOgDsrKyNG3aNJWWlurnP/+5ampq9Ic//MGzvampSY888ohmzJih5ORkSVJ+fr7i4+M1d+5c8TkaBBqf5gIAGGNmAgAwRpgAAIwRJgAAY4QJAMAYYQIAMEaYAACMESYAAGOECQDAGGECADD2f2bQ+2GX4G46AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "_PuOj8TmEJCz",
        "outputId": "aa916176-05ca-47eb-996b-25c432b8485f"
      },
      "source": [
        "dados.loc[:,'c-0':'c-99'].describe().T['mean'].hist(bins=50)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c58f0ad0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 168
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 307
        },
        "id": "iH7MGF2DFIIn",
        "outputId": "2754da1f-11a0-477a-e42b-e4cdbc895d72"
      },
      "source": [
        "sns.histplot(data=dados.loc[:,'c-0':'c-99'].describe().T['mean'],bins=50) # Versão com o Seaborn"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c68d31d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 169
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dquSm5_QGJIC"
      },
      "source": [
        "##Desafio 04: Estudar sobre as estatíticas retornadas no .describe()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "v2GrR_D0dctL"
      },
      "source": [
        "[Link documentação](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.describe.html)\n",
        "\n",
        "INCLUIR ARTIGO SOBRE DESCRIBE"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N2bzkFCjTxjg"
      },
      "source": [
        "##Desafio 05: Refletir sobre a manipulação do tamanho das visualizações."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2Uz0i_AefSau"
      },
      "source": [
        "Um artigo que pode lhe artigo que pode lhe ajudar nesse processo de reflexão é este aqui:\n",
        "[Visualizando informações com um gráfico](https://www.alura.com.br/artigos/visualizando-informacoes-com-um-grafico)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "olZrSosyUCjY"
      },
      "source": [
        "##Desafio 06: Fazer outras análises com o boxplot e até com o histograma."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5hrbZXVgf1yv"
      },
      "source": [
        "Este artigo dá alguns exemplos de visualização: [Análise de dados: analisando minha distribuição com três alternativas de visualização](https://www.alura.com.br/artigos/analise-de-dados-analisando-minha-distribuicao-com-tres-alternativas-de-visualizacao)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KnmIJHicYbAx"
      },
      "source": [
        "E aqui vão mais alguns exemplos do que você poderia ter feito:"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wVQS_1E3kF0Z"
      },
      "source": [
        "Olhando para a Dose"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 524
        },
        "id": "ql3l868EigR8",
        "outputId": "57022ad4-95ba-4a11-c9e5-5b2d21876260"
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.boxplot(y='g-0', x='dose' , data=dados)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c5141dd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 181
        },
        {
          "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": "IKGFbeioioeI"
      },
      "source": [
        "Olhando apenas para o composto de controle"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 524
        },
        "id": "rlwdmMFQiL11",
        "outputId": "8423b62e-c911-49bd-a81e-0ed5b6f578fb"
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.boxplot(y='g-0', x='dose' , data=dados.query('composto == \"cacb2b860\"'))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c5248ed0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 180
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UuggwltGUDNC",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 529
        },
        "outputId": "7070f503-a82f-4ddb-8622-fa58d852ea2f"
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.boxplot(y='c-0', x='dose' , data=dados)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c59937d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 173
        },
        {
          "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": "1ME9KJ41kKcP"
      },
      "source": [
        "Olhando para o tempo"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 524
        },
        "id": "93jMm0iMhvr7",
        "outputId": "72906bfb-57cf-4605-a15f-b5ab3ba3898b"
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.boxplot(y='c-15', x='tempo' , data=dados)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f48c5359450>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 176
        },
        {
          "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": "tuEGNHL5levH"
      },
      "source": [
        "Histograma de g-0 comparando com droga ou com controle"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 401
        },
        "id": "Lijww6lxktCT",
        "outputId": "84a801af-2b95-4a7b-c411-a802ee266029"
      },
      "source": [
        "plt.figure(figsize=(10,6))\n",
        "sns.histplot(data=dados, x='g-0', bins=100, hue='tratamento')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XQtibaNnUGhf"
      },
      "source": [
        "##Desafio 07: Resumo do que você aprendeu com os dados"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kTB3w93HmhI5"
      },
      "source": [
        "Na aula 02 aprendi mais sobre estatística e a plotar gráficos utilizando a biblioteca Matplotlib. E nestes desafios aprendi a alterar o tamanho da fonte para melhorar a visualização dos dados, aprendi a plotar os histogramas baseado na biblioteca seaborn, e a utilizar o querido e tão requisitado boxplot, para análises estatísticas."
      ]
    }
  ]
}