Aula_2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Aula 2.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyO9PeDKsUefYceqGT1sLllQ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/LucasTARosa/imersaoDadosAlura/blob/main/Aula_2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4hab8OuGlof9"
      },
      "source": [
        "#Aula 2"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "id": "T5kElqu7cJAt",
        "outputId": "53ae042d-fc5c-440b-ad02-bebf462516ce"
      },
      "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": 68,
      "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": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "16KNJKrNJUgi"
      },
      "source": [
        "mapa = {'droga':'composto'}\n",
        "dados.rename(columns=mapa, inplace = True)"
      ],
      "execution_count": 82,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "K9xdFSRCKGYY",
        "outputId": "bc59c730-acf3-42ab-d51b-76d50f193b4a"
      },
      "source": [
        "dados.head()"
      ],
      "execution_count": 83,
      "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": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "shiohJZ4KIOQ",
        "outputId": "e46f0fa0-f9c6-473d-aeb2-062fefcda3f1"
      },
      "source": [
        "dados.head()"
      ],
      "execution_count": 84,
      "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": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r_es-Jj1KKYL"
      },
      "source": [
        "dados.columns = dados.columns.str.replace('-','')"
      ],
      "execution_count": 85,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "CwI6F0A_KkvY",
        "outputId": "3fc1a160-47ce-4581-e018-22f23f633e4b"
      },
      "source": [
        "dados.head()"
      ],
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g0</th>\n",
              "      <th>g1</th>\n",
              "      <th>g2</th>\n",
              "      <th>g3</th>\n",
              "      <th>g4</th>\n",
              "      <th>g5</th>\n",
              "      <th>g6</th>\n",
              "      <th>g7</th>\n",
              "      <th>g8</th>\n",
              "      <th>g9</th>\n",
              "      <th>g10</th>\n",
              "      <th>g11</th>\n",
              "      <th>g12</th>\n",
              "      <th>g13</th>\n",
              "      <th>g14</th>\n",
              "      <th>g15</th>\n",
              "      <th>g16</th>\n",
              "      <th>g17</th>\n",
              "      <th>g18</th>\n",
              "      <th>g19</th>\n",
              "      <th>g20</th>\n",
              "      <th>g21</th>\n",
              "      <th>g22</th>\n",
              "      <th>g23</th>\n",
              "      <th>g24</th>\n",
              "      <th>g25</th>\n",
              "      <th>g26</th>\n",
              "      <th>g27</th>\n",
              "      <th>g28</th>\n",
              "      <th>g29</th>\n",
              "      <th>g30</th>\n",
              "      <th>g31</th>\n",
              "      <th>g32</th>\n",
              "      <th>g33</th>\n",
              "      <th>g34</th>\n",
              "      <th>...</th>\n",
              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
              "      <th>c62</th>\n",
              "      <th>c63</th>\n",
              "      <th>c64</th>\n",
              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
              "      <th>c69</th>\n",
              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4805</td>\n",
              "      <td>0.4965</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.1220</td>\n",
              "      <td>-0.3752</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id tratamento  tempo dose  ...     c96     c97     c98     c99\n",
              "0  id_000644bb2  com_droga     24   D1  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1  id_000779bfc  com_droga     72   D1  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2  id_000a6266a  com_droga     48   D1  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "3  id_0015fd391  com_droga     48   D1  ... -1.6210 -0.8784 -0.3876 -0.8154\n",
              "4  id_001626bd3  com_droga     72   D2  ...  0.1094  0.2885 -0.3786  0.7125\n",
              "\n",
              "[5 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "id": "CVU5cLILKlwO",
        "outputId": "a18ff775-1aef-44b5-90cd-7f1ef415d3d3"
      },
      "source": [
        "import seaborn as sns\n",
        "\n",
        "sns.countplot(x = 'composto', data=dados.query('composto in @cod_compostos'))"
      ],
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0ebc8ed50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 87
        },
        {
          "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/"
        },
        "id": "-xoxIvMgLSjX",
        "outputId": "19b9f667-7017-4614-cdf2-2627ca4a67cb"
      },
      "source": [
        "cod_compostos = dados['composto'].value_counts()[0:5].index\n",
        "cod_compostos"
      ],
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['cacb2b860', '87d714366', '9f80f3f77', '8b87a7a83', '5628cb3ee'], dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 88
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0YyWx44NiUZ-",
        "outputId": "9c3dc373-77a2-4e71-b927-161e2afee5e7"
      },
      "source": [
        "composto1 = dados['composto'].value_counts()[0:1].index\n",
        "composto1"
      ],
      "execution_count": 121,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['cacb2b860'], dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 121
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "id": "ArvvJ2toivwj",
        "outputId": "cadb84bb-0b94-49e4-b8bb-54b86903dbfc"
      },
      "source": [
        "dados.query('composto in @composto1')"
      ],
      "execution_count": 122,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g0</th>\n",
              "      <th>g1</th>\n",
              "      <th>g2</th>\n",
              "      <th>g3</th>\n",
              "      <th>g4</th>\n",
              "      <th>g5</th>\n",
              "      <th>g6</th>\n",
              "      <th>g7</th>\n",
              "      <th>g8</th>\n",
              "      <th>g9</th>\n",
              "      <th>g10</th>\n",
              "      <th>g11</th>\n",
              "      <th>g12</th>\n",
              "      <th>g13</th>\n",
              "      <th>g14</th>\n",
              "      <th>g15</th>\n",
              "      <th>g16</th>\n",
              "      <th>g17</th>\n",
              "      <th>g18</th>\n",
              "      <th>g19</th>\n",
              "      <th>g20</th>\n",
              "      <th>g21</th>\n",
              "      <th>g22</th>\n",
              "      <th>g23</th>\n",
              "      <th>g24</th>\n",
              "      <th>g25</th>\n",
              "      <th>g26</th>\n",
              "      <th>g27</th>\n",
              "      <th>g28</th>\n",
              "      <th>g29</th>\n",
              "      <th>g30</th>\n",
              "      <th>g31</th>\n",
              "      <th>g32</th>\n",
              "      <th>g33</th>\n",
              "      <th>g34</th>\n",
              "      <th>...</th>\n",
              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
              "      <th>c62</th>\n",
              "      <th>c63</th>\n",
              "      <th>c64</th>\n",
              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
              "      <th>c69</th>\n",
              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>id_0054388ec</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.6696</td>\n",
              "      <td>-0.2718</td>\n",
              "      <td>-1.2230</td>\n",
              "      <td>-0.6226</td>\n",
              "      <td>-0.7220</td>\n",
              "      <td>0.1588</td>\n",
              "      <td>0.7785</td>\n",
              "      <td>0.7062</td>\n",
              "      <td>-0.7951</td>\n",
              "      <td>1.3770</td>\n",
              "      <td>0.2856</td>\n",
              "      <td>-0.8331</td>\n",
              "      <td>0.3879</td>\n",
              "      <td>1.3290</td>\n",
              "      <td>-0.4746</td>\n",
              "      <td>0.0857</td>\n",
              "      <td>-0.2745</td>\n",
              "      <td>-0.1093</td>\n",
              "      <td>0.2603</td>\n",
              "      <td>0.7386</td>\n",
              "      <td>-0.6665</td>\n",
              "      <td>-1.6520</td>\n",
              "      <td>-0.9262</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.6310</td>\n",
              "      <td>-0.2933</td>\n",
              "      <td>0.2043</td>\n",
              "      <td>-2.2070</td>\n",
              "      <td>0.1383</td>\n",
              "      <td>-0.4966</td>\n",
              "      <td>0.6922</td>\n",
              "      <td>-0.4077</td>\n",
              "      <td>0.2303</td>\n",
              "      <td>-0.0456</td>\n",
              "      <td>-0.7447</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6976</td>\n",
              "      <td>-0.0178</td>\n",
              "      <td>0.3768</td>\n",
              "      <td>0.4318</td>\n",
              "      <td>-0.1051</td>\n",
              "      <td>0.3933</td>\n",
              "      <td>-0.3189</td>\n",
              "      <td>0.4128</td>\n",
              "      <td>-0.2116</td>\n",
              "      <td>-1.0410</td>\n",
              "      <td>0.7798</td>\n",
              "      <td>0.1579</td>\n",
              "      <td>1.7250</td>\n",
              "      <td>1.4490</td>\n",
              "      <td>0.9117</td>\n",
              "      <td>-0.0754</td>\n",
              "      <td>-0.8396</td>\n",
              "      <td>0.7640</td>\n",
              "      <td>1.2080</td>\n",
              "      <td>1.1890</td>\n",
              "      <td>0.2114</td>\n",
              "      <td>0.6335</td>\n",
              "      <td>0.3265</td>\n",
              "      <td>-0.1056</td>\n",
              "      <td>0.5478</td>\n",
              "      <td>0.7477</td>\n",
              "      <td>1.2340</td>\n",
              "      <td>0.5035</td>\n",
              "      <td>-0.6591</td>\n",
              "      <td>0.3023</td>\n",
              "      <td>0.6171</td>\n",
              "      <td>0.6405</td>\n",
              "      <td>0.5429</td>\n",
              "      <td>0.3562</td>\n",
              "      <td>1.3290</td>\n",
              "      <td>0.5573</td>\n",
              "      <td>0.8837</td>\n",
              "      <td>0.5534</td>\n",
              "      <td>0.8976</td>\n",
              "      <td>1.0050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>id_0079af0fb</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.1636</td>\n",
              "      <td>-1.8230</td>\n",
              "      <td>-0.5211</td>\n",
              "      <td>0.3054</td>\n",
              "      <td>-1.1280</td>\n",
              "      <td>0.6041</td>\n",
              "      <td>0.3856</td>\n",
              "      <td>-0.1670</td>\n",
              "      <td>-0.5400</td>\n",
              "      <td>0.2721</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>0.0761</td>\n",
              "      <td>-0.4054</td>\n",
              "      <td>2.9760</td>\n",
              "      <td>-0.7679</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>0.0752</td>\n",
              "      <td>0.5943</td>\n",
              "      <td>0.4266</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.0410</td>\n",
              "      <td>-0.1131</td>\n",
              "      <td>0.6593</td>\n",
              "      <td>-0.6890</td>\n",
              "      <td>0.5115</td>\n",
              "      <td>-0.2512</td>\n",
              "      <td>-0.8775</td>\n",
              "      <td>-1.3810</td>\n",
              "      <td>0.1419</td>\n",
              "      <td>-0.0363</td>\n",
              "      <td>0.2559</td>\n",
              "      <td>2.5290</td>\n",
              "      <td>0.2853</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.3626</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.3420</td>\n",
              "      <td>0.2815</td>\n",
              "      <td>-0.7493</td>\n",
              "      <td>-0.2701</td>\n",
              "      <td>0.1205</td>\n",
              "      <td>0.2396</td>\n",
              "      <td>0.3506</td>\n",
              "      <td>-0.9233</td>\n",
              "      <td>0.2490</td>\n",
              "      <td>-0.0824</td>\n",
              "      <td>0.4841</td>\n",
              "      <td>1.1940</td>\n",
              "      <td>-1.1650</td>\n",
              "      <td>-0.4853</td>\n",
              "      <td>1.1080</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>0.7438</td>\n",
              "      <td>0.2050</td>\n",
              "      <td>-0.2761</td>\n",
              "      <td>-0.1748</td>\n",
              "      <td>0.3385</td>\n",
              "      <td>-0.3500</td>\n",
              "      <td>-0.0309</td>\n",
              "      <td>-0.0409</td>\n",
              "      <td>-0.0735</td>\n",
              "      <td>0.2732</td>\n",
              "      <td>-1.2100</td>\n",
              "      <td>0.0089</td>\n",
              "      <td>0.0317</td>\n",
              "      <td>0.4721</td>\n",
              "      <td>-0.3880</td>\n",
              "      <td>-0.6828</td>\n",
              "      <td>-0.6594</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.3571</td>\n",
              "      <td>-0.1319</td>\n",
              "      <td>0.2187</td>\n",
              "      <td>0.0737</td>\n",
              "      <td>0.6498</td>\n",
              "      <td>-1.4820</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>id_007bfbb91</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-1.3200</td>\n",
              "      <td>-1.7340</td>\n",
              "      <td>-0.0741</td>\n",
              "      <td>1.5440</td>\n",
              "      <td>-1.8290</td>\n",
              "      <td>-0.0951</td>\n",
              "      <td>0.3829</td>\n",
              "      <td>-1.8700</td>\n",
              "      <td>-0.0324</td>\n",
              "      <td>2.7670</td>\n",
              "      <td>-0.0438</td>\n",
              "      <td>-0.0147</td>\n",
              "      <td>0.1276</td>\n",
              "      <td>0.2968</td>\n",
              "      <td>-0.0704</td>\n",
              "      <td>-0.3767</td>\n",
              "      <td>2.5790</td>\n",
              "      <td>0.4069</td>\n",
              "      <td>-0.3868</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>1.8180</td>\n",
              "      <td>-2.9390</td>\n",
              "      <td>-0.1150</td>\n",
              "      <td>-0.8009</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>0.5412</td>\n",
              "      <td>-0.0804</td>\n",
              "      <td>-0.4444</td>\n",
              "      <td>2.9230</td>\n",
              "      <td>2.8270</td>\n",
              "      <td>-0.3437</td>\n",
              "      <td>1.6570</td>\n",
              "      <td>-1.9200</td>\n",
              "      <td>0.3442</td>\n",
              "      <td>1.7160</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4009</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2789</td>\n",
              "      <td>0.4465</td>\n",
              "      <td>0.9492</td>\n",
              "      <td>0.6385</td>\n",
              "      <td>1.5510</td>\n",
              "      <td>-0.1220</td>\n",
              "      <td>0.6688</td>\n",
              "      <td>0.4396</td>\n",
              "      <td>0.6947</td>\n",
              "      <td>0.9761</td>\n",
              "      <td>1.2430</td>\n",
              "      <td>1.4770</td>\n",
              "      <td>-0.0081</td>\n",
              "      <td>1.0040</td>\n",
              "      <td>1.4420</td>\n",
              "      <td>-0.3482</td>\n",
              "      <td>0.3297</td>\n",
              "      <td>1.2070</td>\n",
              "      <td>0.0524</td>\n",
              "      <td>0.5346</td>\n",
              "      <td>0.7643</td>\n",
              "      <td>0.4067</td>\n",
              "      <td>0.3817</td>\n",
              "      <td>0.4566</td>\n",
              "      <td>0.7736</td>\n",
              "      <td>0.5316</td>\n",
              "      <td>0.2790</td>\n",
              "      <td>0.9735</td>\n",
              "      <td>0.7412</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>0.7393</td>\n",
              "      <td>1.1020</td>\n",
              "      <td>0.3786</td>\n",
              "      <td>0.2636</td>\n",
              "      <td>-0.5751</td>\n",
              "      <td>0.3362</td>\n",
              "      <td>0.8543</td>\n",
              "      <td>0.9180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>id_008a986b7</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.4860</td>\n",
              "      <td>0.1430</td>\n",
              "      <td>0.5281</td>\n",
              "      <td>-0.0022</td>\n",
              "      <td>-0.2334</td>\n",
              "      <td>-0.6607</td>\n",
              "      <td>0.6459</td>\n",
              "      <td>-0.0109</td>\n",
              "      <td>1.0120</td>\n",
              "      <td>-0.0864</td>\n",
              "      <td>-0.3817</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>0.9435</td>\n",
              "      <td>0.6296</td>\n",
              "      <td>0.3864</td>\n",
              "      <td>0.1420</td>\n",
              "      <td>0.9834</td>\n",
              "      <td>0.4189</td>\n",
              "      <td>0.7980</td>\n",
              "      <td>-0.2132</td>\n",
              "      <td>0.7651</td>\n",
              "      <td>-1.2410</td>\n",
              "      <td>0.0747</td>\n",
              "      <td>-1.5750</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.0840</td>\n",
              "      <td>0.6705</td>\n",
              "      <td>-0.7517</td>\n",
              "      <td>-0.2756</td>\n",
              "      <td>-1.0920</td>\n",
              "      <td>-0.8683</td>\n",
              "      <td>0.3021</td>\n",
              "      <td>-0.3164</td>\n",
              "      <td>-0.2074</td>\n",
              "      <td>0.4587</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2189</td>\n",
              "      <td>-0.5262</td>\n",
              "      <td>-0.2982</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>-1.0040</td>\n",
              "      <td>-0.6726</td>\n",
              "      <td>-0.0321</td>\n",
              "      <td>-0.5398</td>\n",
              "      <td>-0.7518</td>\n",
              "      <td>0.0370</td>\n",
              "      <td>0.7213</td>\n",
              "      <td>-0.3466</td>\n",
              "      <td>0.2354</td>\n",
              "      <td>-0.4432</td>\n",
              "      <td>-0.1020</td>\n",
              "      <td>-0.9391</td>\n",
              "      <td>-1.1970</td>\n",
              "      <td>0.1365</td>\n",
              "      <td>-0.9264</td>\n",
              "      <td>0.5828</td>\n",
              "      <td>-0.7379</td>\n",
              "      <td>-0.4354</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>-0.3771</td>\n",
              "      <td>-0.6525</td>\n",
              "      <td>-0.4169</td>\n",
              "      <td>-1.0640</td>\n",
              "      <td>-0.3331</td>\n",
              "      <td>-0.5761</td>\n",
              "      <td>-0.3085</td>\n",
              "      <td>-0.1866</td>\n",
              "      <td>0.7629</td>\n",
              "      <td>0.3288</td>\n",
              "      <td>-0.9915</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.4979</td>\n",
              "      <td>0.5281</td>\n",
              "      <td>-0.9245</td>\n",
              "      <td>-0.9367</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>63</th>\n",
              "      <td>id_009d8340f</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.4471</td>\n",
              "      <td>-0.0839</td>\n",
              "      <td>-0.3864</td>\n",
              "      <td>0.3196</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>-0.3156</td>\n",
              "      <td>-0.1187</td>\n",
              "      <td>1.1610</td>\n",
              "      <td>0.5838</td>\n",
              "      <td>-0.2996</td>\n",
              "      <td>-0.3995</td>\n",
              "      <td>1.0700</td>\n",
              "      <td>0.2969</td>\n",
              "      <td>-0.2785</td>\n",
              "      <td>0.9678</td>\n",
              "      <td>-0.1409</td>\n",
              "      <td>1.0850</td>\n",
              "      <td>-0.0656</td>\n",
              "      <td>-0.6502</td>\n",
              "      <td>0.3527</td>\n",
              "      <td>0.1998</td>\n",
              "      <td>0.0975</td>\n",
              "      <td>0.0563</td>\n",
              "      <td>-0.3578</td>\n",
              "      <td>-0.0657</td>\n",
              "      <td>0.5316</td>\n",
              "      <td>0.6573</td>\n",
              "      <td>-0.5355</td>\n",
              "      <td>1.2380</td>\n",
              "      <td>-0.4994</td>\n",
              "      <td>-0.8140</td>\n",
              "      <td>0.2567</td>\n",
              "      <td>-0.8155</td>\n",
              "      <td>1.1180</td>\n",
              "      <td>-0.2501</td>\n",
              "      <td>...</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.5214</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>-0.5903</td>\n",
              "      <td>0.1332</td>\n",
              "      <td>-0.3517</td>\n",
              "      <td>-0.3276</td>\n",
              "      <td>-0.4955</td>\n",
              "      <td>0.1359</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>0.5725</td>\n",
              "      <td>-0.1126</td>\n",
              "      <td>-0.0874</td>\n",
              "      <td>1.2220</td>\n",
              "      <td>-0.0641</td>\n",
              "      <td>0.0246</td>\n",
              "      <td>-0.5659</td>\n",
              "      <td>-0.7402</td>\n",
              "      <td>1.1170</td>\n",
              "      <td>-0.0612</td>\n",
              "      <td>-1.3040</td>\n",
              "      <td>-0.4025</td>\n",
              "      <td>0.3760</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>0.8064</td>\n",
              "      <td>-0.0170</td>\n",
              "      <td>0.3092</td>\n",
              "      <td>0.2671</td>\n",
              "      <td>0.3311</td>\n",
              "      <td>-0.4572</td>\n",
              "      <td>0.4795</td>\n",
              "      <td>0.3939</td>\n",
              "      <td>0.7665</td>\n",
              "      <td>0.7932</td>\n",
              "      <td>-0.6804</td>\n",
              "      <td>-0.0435</td>\n",
              "      <td>0.0949</td>\n",
              "      <td>0.2000</td>\n",
              "      <td>-0.4326</td>\n",
              "      <td>0.9364</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23729</th>\n",
              "      <td>id_ff1f9e5fc</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.0465</td>\n",
              "      <td>0.6430</td>\n",
              "      <td>-0.2453</td>\n",
              "      <td>0.3521</td>\n",
              "      <td>0.6195</td>\n",
              "      <td>-0.6659</td>\n",
              "      <td>0.8263</td>\n",
              "      <td>0.5933</td>\n",
              "      <td>0.1388</td>\n",
              "      <td>-0.2246</td>\n",
              "      <td>-0.6127</td>\n",
              "      <td>-0.1687</td>\n",
              "      <td>1.5170</td>\n",
              "      <td>0.6243</td>\n",
              "      <td>-0.8399</td>\n",
              "      <td>-0.1881</td>\n",
              "      <td>-0.1583</td>\n",
              "      <td>0.0622</td>\n",
              "      <td>-0.1170</td>\n",
              "      <td>0.7722</td>\n",
              "      <td>0.0063</td>\n",
              "      <td>0.7347</td>\n",
              "      <td>-0.4820</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0938</td>\n",
              "      <td>-0.6062</td>\n",
              "      <td>0.6108</td>\n",
              "      <td>-0.4900</td>\n",
              "      <td>0.1075</td>\n",
              "      <td>0.3029</td>\n",
              "      <td>-0.1369</td>\n",
              "      <td>0.1946</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>1.1030</td>\n",
              "      <td>0.3444</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.4342</td>\n",
              "      <td>0.0541</td>\n",
              "      <td>0.9346</td>\n",
              "      <td>0.7595</td>\n",
              "      <td>-0.0139</td>\n",
              "      <td>0.2990</td>\n",
              "      <td>-0.7176</td>\n",
              "      <td>0.8572</td>\n",
              "      <td>0.2990</td>\n",
              "      <td>-0.2060</td>\n",
              "      <td>0.9029</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.0802</td>\n",
              "      <td>0.0686</td>\n",
              "      <td>-0.3934</td>\n",
              "      <td>0.2344</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.0144</td>\n",
              "      <td>-1.0080</td>\n",
              "      <td>0.8748</td>\n",
              "      <td>1.2900</td>\n",
              "      <td>0.5188</td>\n",
              "      <td>0.5824</td>\n",
              "      <td>0.0182</td>\n",
              "      <td>0.7578</td>\n",
              "      <td>1.1910</td>\n",
              "      <td>-0.3264</td>\n",
              "      <td>0.6882</td>\n",
              "      <td>0.7486</td>\n",
              "      <td>0.6438</td>\n",
              "      <td>0.6085</td>\n",
              "      <td>0.1621</td>\n",
              "      <td>-0.2065</td>\n",
              "      <td>0.8314</td>\n",
              "      <td>-0.1891</td>\n",
              "      <td>-0.0074</td>\n",
              "      <td>0.2131</td>\n",
              "      <td>-0.1419</td>\n",
              "      <td>-0.2422</td>\n",
              "      <td>0.0457</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23747</th>\n",
              "      <td>id_ff469c482</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.6204</td>\n",
              "      <td>-1.3800</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>-0.6573</td>\n",
              "      <td>-0.8408</td>\n",
              "      <td>-0.2447</td>\n",
              "      <td>1.3490</td>\n",
              "      <td>-0.5155</td>\n",
              "      <td>1.2610</td>\n",
              "      <td>-0.1790</td>\n",
              "      <td>-0.7182</td>\n",
              "      <td>-0.7885</td>\n",
              "      <td>0.3022</td>\n",
              "      <td>2.0140</td>\n",
              "      <td>0.1667</td>\n",
              "      <td>-0.7325</td>\n",
              "      <td>-0.1553</td>\n",
              "      <td>0.8400</td>\n",
              "      <td>-0.1069</td>\n",
              "      <td>-0.7247</td>\n",
              "      <td>1.3430</td>\n",
              "      <td>1.5010</td>\n",
              "      <td>-1.3370</td>\n",
              "      <td>0.7190</td>\n",
              "      <td>-0.0843</td>\n",
              "      <td>0.4841</td>\n",
              "      <td>-0.9104</td>\n",
              "      <td>1.3990</td>\n",
              "      <td>0.7447</td>\n",
              "      <td>-1.2110</td>\n",
              "      <td>0.6562</td>\n",
              "      <td>0.1265</td>\n",
              "      <td>0.3036</td>\n",
              "      <td>2.2600</td>\n",
              "      <td>-1.3770</td>\n",
              "      <td>...</td>\n",
              "      <td>0.9633</td>\n",
              "      <td>-0.4057</td>\n",
              "      <td>-0.2206</td>\n",
              "      <td>0.5111</td>\n",
              "      <td>-0.8666</td>\n",
              "      <td>0.4692</td>\n",
              "      <td>0.8903</td>\n",
              "      <td>0.6648</td>\n",
              "      <td>0.2922</td>\n",
              "      <td>0.2440</td>\n",
              "      <td>1.0960</td>\n",
              "      <td>1.2420</td>\n",
              "      <td>1.0430</td>\n",
              "      <td>1.4310</td>\n",
              "      <td>1.0040</td>\n",
              "      <td>1.0320</td>\n",
              "      <td>0.7345</td>\n",
              "      <td>0.8025</td>\n",
              "      <td>0.7174</td>\n",
              "      <td>0.1932</td>\n",
              "      <td>-0.2609</td>\n",
              "      <td>0.3501</td>\n",
              "      <td>0.5916</td>\n",
              "      <td>0.9193</td>\n",
              "      <td>0.1398</td>\n",
              "      <td>0.0243</td>\n",
              "      <td>0.4820</td>\n",
              "      <td>-0.4428</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.4166</td>\n",
              "      <td>0.8209</td>\n",
              "      <td>0.7366</td>\n",
              "      <td>0.5468</td>\n",
              "      <td>1.1450</td>\n",
              "      <td>0.5254</td>\n",
              "      <td>0.6224</td>\n",
              "      <td>-0.9630</td>\n",
              "      <td>0.8872</td>\n",
              "      <td>-0.0742</td>\n",
              "      <td>-0.6777</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23768</th>\n",
              "      <td>id_ff89331ca</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.1051</td>\n",
              "      <td>0.4335</td>\n",
              "      <td>0.3648</td>\n",
              "      <td>-0.0525</td>\n",
              "      <td>-0.3632</td>\n",
              "      <td>-0.3228</td>\n",
              "      <td>-2.3190</td>\n",
              "      <td>-0.5294</td>\n",
              "      <td>0.1878</td>\n",
              "      <td>0.5047</td>\n",
              "      <td>1.3820</td>\n",
              "      <td>0.6107</td>\n",
              "      <td>2.4790</td>\n",
              "      <td>0.4347</td>\n",
              "      <td>0.9422</td>\n",
              "      <td>-0.1042</td>\n",
              "      <td>-0.2611</td>\n",
              "      <td>1.5760</td>\n",
              "      <td>-0.0232</td>\n",
              "      <td>-0.2455</td>\n",
              "      <td>0.8058</td>\n",
              "      <td>-2.4180</td>\n",
              "      <td>-0.5838</td>\n",
              "      <td>-0.1626</td>\n",
              "      <td>-0.8609</td>\n",
              "      <td>-0.2021</td>\n",
              "      <td>0.1494</td>\n",
              "      <td>0.6618</td>\n",
              "      <td>1.3080</td>\n",
              "      <td>-0.7822</td>\n",
              "      <td>0.3923</td>\n",
              "      <td>-0.4608</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>0.3173</td>\n",
              "      <td>0.7622</td>\n",
              "      <td>...</td>\n",
              "      <td>1.2340</td>\n",
              "      <td>-0.1665</td>\n",
              "      <td>-0.0318</td>\n",
              "      <td>0.8694</td>\n",
              "      <td>0.4048</td>\n",
              "      <td>0.1281</td>\n",
              "      <td>0.0164</td>\n",
              "      <td>1.0670</td>\n",
              "      <td>1.5790</td>\n",
              "      <td>0.2428</td>\n",
              "      <td>1.1330</td>\n",
              "      <td>-1.2310</td>\n",
              "      <td>0.3626</td>\n",
              "      <td>-0.4737</td>\n",
              "      <td>0.2937</td>\n",
              "      <td>0.1638</td>\n",
              "      <td>-0.1554</td>\n",
              "      <td>0.9236</td>\n",
              "      <td>0.0937</td>\n",
              "      <td>0.9598</td>\n",
              "      <td>0.4738</td>\n",
              "      <td>-0.2608</td>\n",
              "      <td>0.3577</td>\n",
              "      <td>-1.2040</td>\n",
              "      <td>0.8125</td>\n",
              "      <td>1.4260</td>\n",
              "      <td>0.2223</td>\n",
              "      <td>0.3079</td>\n",
              "      <td>1.1490</td>\n",
              "      <td>1.7320</td>\n",
              "      <td>-0.1219</td>\n",
              "      <td>0.4885</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.9434</td>\n",
              "      <td>-0.4779</td>\n",
              "      <td>0.6951</td>\n",
              "      <td>0.9517</td>\n",
              "      <td>-0.8110</td>\n",
              "      <td>-0.1748</td>\n",
              "      <td>-0.3626</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23793</th>\n",
              "      <td>id_ffd26f361</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.6008</td>\n",
              "      <td>0.2781</td>\n",
              "      <td>-0.3319</td>\n",
              "      <td>-0.8782</td>\n",
              "      <td>0.9281</td>\n",
              "      <td>0.7535</td>\n",
              "      <td>0.5971</td>\n",
              "      <td>1.6350</td>\n",
              "      <td>-0.3146</td>\n",
              "      <td>0.4984</td>\n",
              "      <td>-1.1890</td>\n",
              "      <td>0.3772</td>\n",
              "      <td>-0.8196</td>\n",
              "      <td>0.1083</td>\n",
              "      <td>-2.0350</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.7586</td>\n",
              "      <td>-0.4024</td>\n",
              "      <td>-0.0449</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.2358</td>\n",
              "      <td>0.7919</td>\n",
              "      <td>-0.8775</td>\n",
              "      <td>0.4232</td>\n",
              "      <td>1.8460</td>\n",
              "      <td>-2.0940</td>\n",
              "      <td>0.1438</td>\n",
              "      <td>-0.6604</td>\n",
              "      <td>0.7243</td>\n",
              "      <td>0.0338</td>\n",
              "      <td>-0.0182</td>\n",
              "      <td>-0.2022</td>\n",
              "      <td>0.8827</td>\n",
              "      <td>0.3147</td>\n",
              "      <td>-0.9263</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1934</td>\n",
              "      <td>1.2240</td>\n",
              "      <td>-0.1178</td>\n",
              "      <td>0.1459</td>\n",
              "      <td>-0.1242</td>\n",
              "      <td>0.3106</td>\n",
              "      <td>-0.7959</td>\n",
              "      <td>0.5681</td>\n",
              "      <td>0.3663</td>\n",
              "      <td>0.4874</td>\n",
              "      <td>-0.0548</td>\n",
              "      <td>0.1810</td>\n",
              "      <td>1.3470</td>\n",
              "      <td>1.6210</td>\n",
              "      <td>-0.8260</td>\n",
              "      <td>0.3377</td>\n",
              "      <td>0.3264</td>\n",
              "      <td>0.9241</td>\n",
              "      <td>0.3012</td>\n",
              "      <td>1.2980</td>\n",
              "      <td>-0.2789</td>\n",
              "      <td>0.7019</td>\n",
              "      <td>-0.3528</td>\n",
              "      <td>0.7383</td>\n",
              "      <td>1.0300</td>\n",
              "      <td>0.6527</td>\n",
              "      <td>1.6750</td>\n",
              "      <td>-0.5046</td>\n",
              "      <td>0.2942</td>\n",
              "      <td>0.2950</td>\n",
              "      <td>1.2470</td>\n",
              "      <td>0.9569</td>\n",
              "      <td>-0.2065</td>\n",
              "      <td>-0.4918</td>\n",
              "      <td>0.7863</td>\n",
              "      <td>0.0504</td>\n",
              "      <td>0.8813</td>\n",
              "      <td>0.7757</td>\n",
              "      <td>-0.5272</td>\n",
              "      <td>0.7082</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6845</td>\n",
              "      <td>0.7127</td>\n",
              "      <td>0.7294</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1866 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...     c96     c97     c98     c99\n",
              "25     id_0054388ec  com_controle     48   D1  ...  0.8837  0.5534  0.8976  1.0050\n",
              "38     id_0079af0fb  com_controle     24   D1  ...  0.2187  0.0737  0.6498 -1.4820\n",
              "40     id_007bfbb91  com_controle     24   D2  ... -0.5751  0.3362  0.8543  0.9180\n",
              "47     id_008a986b7  com_controle     48   D2  ... -0.4979  0.5281 -0.9245 -0.9367\n",
              "63     id_009d8340f  com_controle     24   D2  ...  0.0949  0.2000 -0.4326  0.9364\n",
              "...             ...           ...    ...  ...  ...     ...     ...     ...     ...\n",
              "23729  id_ff1f9e5fc  com_controle     24   D1  ...  0.2131 -0.1419 -0.2422  0.0457\n",
              "23747  id_ff469c482  com_controle     72   D1  ... -0.9630  0.8872 -0.0742 -0.6777\n",
              "23768  id_ff89331ca  com_controle     72   D2  ...  0.9517 -0.8110 -0.1748 -0.3626\n",
              "23793  id_ffd26f361  com_controle     48   D2  ...  0.8813  0.7757 -0.5272  0.7082\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "\n",
              "[1866 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 122
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "id": "sppyPBLyi-cn",
        "outputId": "c00302fe-b2c7-45e7-85df-90453a55bcb2"
      },
      "source": [
        "sns.boxplot(x='g0', data=dados.query('composto in @composto1'))"
      ],
      "execution_count": 126,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa09ddec0d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 126
        },
        {
          "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": 439
        },
        "id": "NqrpaGSaLon3",
        "outputId": "94ef4041-2452-43b9-c53a-bb5458210db0"
      },
      "source": [
        "dados.query('composto in @cod_compostos')"
      ],
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g0</th>\n",
              "      <th>g1</th>\n",
              "      <th>g2</th>\n",
              "      <th>g3</th>\n",
              "      <th>g4</th>\n",
              "      <th>g5</th>\n",
              "      <th>g6</th>\n",
              "      <th>g7</th>\n",
              "      <th>g8</th>\n",
              "      <th>g9</th>\n",
              "      <th>g10</th>\n",
              "      <th>g11</th>\n",
              "      <th>g12</th>\n",
              "      <th>g13</th>\n",
              "      <th>g14</th>\n",
              "      <th>g15</th>\n",
              "      <th>g16</th>\n",
              "      <th>g17</th>\n",
              "      <th>g18</th>\n",
              "      <th>g19</th>\n",
              "      <th>g20</th>\n",
              "      <th>g21</th>\n",
              "      <th>g22</th>\n",
              "      <th>g23</th>\n",
              "      <th>g24</th>\n",
              "      <th>g25</th>\n",
              "      <th>g26</th>\n",
              "      <th>g27</th>\n",
              "      <th>g28</th>\n",
              "      <th>g29</th>\n",
              "      <th>g30</th>\n",
              "      <th>g31</th>\n",
              "      <th>g32</th>\n",
              "      <th>g33</th>\n",
              "      <th>g34</th>\n",
              "      <th>...</th>\n",
              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
              "      <th>c62</th>\n",
              "      <th>c63</th>\n",
              "      <th>c64</th>\n",
              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
              "      <th>c69</th>\n",
              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>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  ...     c96     c97     c98     c99\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": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 319
        },
        "id": "qXNlBeTwN2rQ",
        "outputId": "8f4932ce-c792-4edb-abf4-2a2e50a0599c"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "sns.set()\n",
        "sns.countplot(x='composto', data=dados.query('composto in @cod_compostos'))\n",
        "plt.figure(figsize=(10,8))\n"
      ],
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 90
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        },
        "id": "hsehNcPdOhQV",
        "outputId": "03643a69-4070-4e06-eda9-ad49c6c1bc4a"
      },
      "source": [
        "ax = sns.countplot(x='composto', data=dados.query('composto in @cod_compostos'))\n",
        "plt.figure(figsize=(8, 6))\n",
        "ax.set_title('Compostos mais frequentes', fontsize = 18)\n",
        "ax.set_xlabel('Compostos', fontsize = 14)\n",
        "ax.set_ylabel('Contagem', fontsize = 14)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jflJU4QdRvRj",
        "outputId": "39bc39e6-40aa-4659-d289-66fcb2c6d139"
      },
      "source": [
        "len(dados['g0'].unique())"
      ],
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "14367"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NXou-q2GSP_c",
        "outputId": "6de0fce9-3be1-4dbe-942d-fce663e066c8"
      },
      "source": [
        "dados['g0'].max()"
      ],
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "10.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XGcpodvCSYC6",
        "outputId": "a00e721e-5844-456a-b3e2-c64958f50248"
      },
      "source": [
        "dados['g0'].min()"
      ],
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-5.513"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "S_Rkc70gSepY",
        "outputId": "aa372be6-64ff-4c18-b0db-c79435a65af1"
      },
      "source": [
        "dados['g0'].hist(bins = 100)"
      ],
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0ec372b50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        },
        {
          "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/"
        },
        "id": "eON60D3KWeMK",
        "outputId": "d625e71f-6453-4399-ad93-a247941d428f"
      },
      "source": [
        "dados['g0'].describe()"
      ],
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    23814.000000\n",
              "mean         0.248366\n",
              "std          1.393399\n",
              "min         -5.513000\n",
              "25%         -0.473075\n",
              "50%         -0.008850\n",
              "75%          0.525700\n",
              "max         10.000000\n",
              "Name: g0, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 346
        },
        "id": "t9Qrz6MUWpGK",
        "outputId": "7bfd1634-4ed5-48cb-cda7-349967a74539"
      },
      "source": [
        "dados.describe()"
      ],
      "execution_count": 98,
      "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>g0</th>\n",
              "      <th>g1</th>\n",
              "      <th>g2</th>\n",
              "      <th>g3</th>\n",
              "      <th>g4</th>\n",
              "      <th>g5</th>\n",
              "      <th>g6</th>\n",
              "      <th>g7</th>\n",
              "      <th>g8</th>\n",
              "      <th>g9</th>\n",
              "      <th>g10</th>\n",
              "      <th>g11</th>\n",
              "      <th>g12</th>\n",
              "      <th>g13</th>\n",
              "      <th>g14</th>\n",
              "      <th>g15</th>\n",
              "      <th>g16</th>\n",
              "      <th>g17</th>\n",
              "      <th>g18</th>\n",
              "      <th>g19</th>\n",
              "      <th>g20</th>\n",
              "      <th>g21</th>\n",
              "      <th>g22</th>\n",
              "      <th>g23</th>\n",
              "      <th>g24</th>\n",
              "      <th>g25</th>\n",
              "      <th>g26</th>\n",
              "      <th>g27</th>\n",
              "      <th>g28</th>\n",
              "      <th>g29</th>\n",
              "      <th>g30</th>\n",
              "      <th>g31</th>\n",
              "      <th>g32</th>\n",
              "      <th>g33</th>\n",
              "      <th>g34</th>\n",
              "      <th>g35</th>\n",
              "      <th>g36</th>\n",
              "      <th>g37</th>\n",
              "      <th>g38</th>\n",
              "      <th>...</th>\n",
              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
              "      <th>c62</th>\n",
              "      <th>c63</th>\n",
              "      <th>c64</th>\n",
              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
              "      <th>c69</th>\n",
              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>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            g0  ...           c98           c99\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": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "em9wZCaPW6Kp",
        "outputId": "1d25003f-6abe-4031-8fba-e645d6e33565"
      },
      "source": [
        "dados[['g0','g1']].describe()"
      ],
      "execution_count": 99,
      "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>g0</th>\n",
              "      <th>g1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.393399</td>\n",
              "      <td>0.812363</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-5.513000</td>\n",
              "      <td>-5.737000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>-0.473075</td>\n",
              "      <td>-0.562200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>-0.008850</td>\n",
              "      <td>-0.046600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>0.525700</td>\n",
              "      <td>0.403075</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.039000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 g0            g1\n",
              "count  23814.000000  23814.000000\n",
              "mean       0.248366     -0.095684\n",
              "std        1.393399      0.812363\n",
              "min       -5.513000     -5.737000\n",
              "25%       -0.473075     -0.562200\n",
              "50%       -0.008850     -0.046600\n",
              "75%        0.525700      0.403075\n",
              "max       10.000000      5.039000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "CXmZDyvQXPNe",
        "outputId": "d89465d3-a207-4893-8ccb-74a40febdc60"
      },
      "source": [
        "dados.loc[:,'g0':'g771'].describe().T['mean'].hist(bins=50)"
      ],
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a8838b10>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 108
        },
        {
          "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": "zCyWSa22Yiii",
        "outputId": "61dca88c-01b1-4e16-8a9e-a5e68b87fcc4"
      },
      "source": [
        "dados.loc[:,'g0':'g771'].describe().T['min'].hist(bins=50)"
      ],
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0ae90af90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 109
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        },
        "id": "k-PncUCfYm9n",
        "outputId": "8cb9a7e1-8479-4f4a-c6f4-fda5905cd54c"
      },
      "source": [
        "dados.loc[:,'g0':'g771'].describe().T['max'].hist(bins=50)"
      ],
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0ae992450>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        },
        {
          "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": 346
        },
        "id": "KBxGYDqmawWa",
        "outputId": "aaceb49f-b61e-4e4f-fde2-787956910375"
      },
      "source": [
        "dados.loc[:,'c0':'c99'].describe()"
      ],
      "execution_count": 113,
      "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>c0</th>\n",
              "      <th>c1</th>\n",
              "      <th>c2</th>\n",
              "      <th>c3</th>\n",
              "      <th>c4</th>\n",
              "      <th>c5</th>\n",
              "      <th>c6</th>\n",
              "      <th>c7</th>\n",
              "      <th>c8</th>\n",
              "      <th>c9</th>\n",
              "      <th>c10</th>\n",
              "      <th>c11</th>\n",
              "      <th>c12</th>\n",
              "      <th>c13</th>\n",
              "      <th>c14</th>\n",
              "      <th>c15</th>\n",
              "      <th>c16</th>\n",
              "      <th>c17</th>\n",
              "      <th>c18</th>\n",
              "      <th>c19</th>\n",
              "      <th>c20</th>\n",
              "      <th>c21</th>\n",
              "      <th>c22</th>\n",
              "      <th>c23</th>\n",
              "      <th>c24</th>\n",
              "      <th>c25</th>\n",
              "      <th>c26</th>\n",
              "      <th>c27</th>\n",
              "      <th>c28</th>\n",
              "      <th>c29</th>\n",
              "      <th>c30</th>\n",
              "      <th>c31</th>\n",
              "      <th>c32</th>\n",
              "      <th>c33</th>\n",
              "      <th>c34</th>\n",
              "      <th>c35</th>\n",
              "      <th>c36</th>\n",
              "      <th>c37</th>\n",
              "      <th>c38</th>\n",
              "      <th>c39</th>\n",
              "      <th>...</th>\n",
              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
              "      <th>c62</th>\n",
              "      <th>c63</th>\n",
              "      <th>c64</th>\n",
              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
              "      <th>c69</th>\n",
              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>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>-0.355156</td>\n",
              "      <td>-0.455359</td>\n",
              "      <td>-0.480542</td>\n",
              "      <td>-0.377666</td>\n",
              "      <td>-0.493552</td>\n",
              "      <td>-0.446037</td>\n",
              "      <td>-0.574855</td>\n",
              "      <td>-0.266293</td>\n",
              "      <td>-0.451307</td>\n",
              "      <td>-0.458664</td>\n",
              "      <td>-0.486027</td>\n",
              "      <td>-0.473410</td>\n",
              "      <td>-0.508091</td>\n",
              "      <td>-0.510905</td>\n",
              "      <td>-0.306528</td>\n",
              "      <td>-0.452293</td>\n",
              "      <td>-0.337267</td>\n",
              "      <td>-0.473728</td>\n",
              "      <td>-0.619461</td>\n",
              "      <td>-0.330389</td>\n",
              "      <td>-0.454165</td>\n",
              "      <td>-0.496059</td>\n",
              "      <td>-0.383134</td>\n",
              "      <td>-0.295655</td>\n",
              "      <td>-0.443384</td>\n",
              "      <td>-0.449683</td>\n",
              "      <td>-0.597730</td>\n",
              "      <td>-0.431899</td>\n",
              "      <td>-0.501831</td>\n",
              "      <td>-0.288958</td>\n",
              "      <td>-0.385486</td>\n",
              "      <td>-0.434420</td>\n",
              "      <td>-0.322990</td>\n",
              "      <td>-0.545691</td>\n",
              "      <td>-0.461527</td>\n",
              "      <td>-0.350457</td>\n",
              "      <td>-0.477049</td>\n",
              "      <td>-0.209301</td>\n",
              "      <td>-0.598003</td>\n",
              "      <td>-0.397430</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>1.752565</td>\n",
              "      <td>2.004962</td>\n",
              "      <td>2.039346</td>\n",
              "      <td>1.554583</td>\n",
              "      <td>2.091888</td>\n",
              "      <td>1.893484</td>\n",
              "      <td>2.234152</td>\n",
              "      <td>1.465313</td>\n",
              "      <td>1.948829</td>\n",
              "      <td>1.646122</td>\n",
              "      <td>2.066695</td>\n",
              "      <td>2.058766</td>\n",
              "      <td>2.140051</td>\n",
              "      <td>2.170919</td>\n",
              "      <td>1.575507</td>\n",
              "      <td>1.974010</td>\n",
              "      <td>1.594663</td>\n",
              "      <td>2.079550</td>\n",
              "      <td>2.294899</td>\n",
              "      <td>1.641563</td>\n",
              "      <td>2.001374</td>\n",
              "      <td>2.023053</td>\n",
              "      <td>1.690235</td>\n",
              "      <td>1.536784</td>\n",
              "      <td>1.967079</td>\n",
              "      <td>1.899095</td>\n",
              "      <td>2.268931</td>\n",
              "      <td>1.916467</td>\n",
              "      <td>1.904629</td>\n",
              "      <td>1.521773</td>\n",
              "      <td>1.741182</td>\n",
              "      <td>1.988458</td>\n",
              "      <td>1.772399</td>\n",
              "      <td>2.201552</td>\n",
              "      <td>1.974772</td>\n",
              "      <td>1.751440</td>\n",
              "      <td>1.965178</td>\n",
              "      <td>1.287766</td>\n",
              "      <td>2.297375</td>\n",
              "      <td>1.838205</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>-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",
              "      <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>-9.910000</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>-0.549300</td>\n",
              "      <td>-0.538425</td>\n",
              "      <td>-0.550375</td>\n",
              "      <td>-0.601975</td>\n",
              "      <td>-0.559975</td>\n",
              "      <td>-0.578775</td>\n",
              "      <td>-0.571250</td>\n",
              "      <td>-0.524275</td>\n",
              "      <td>-0.551100</td>\n",
              "      <td>-0.654675</td>\n",
              "      <td>-0.564000</td>\n",
              "      <td>-0.546475</td>\n",
              "      <td>-0.555500</td>\n",
              "      <td>-0.572450</td>\n",
              "      <td>-0.535700</td>\n",
              "      <td>-0.561600</td>\n",
              "      <td>-0.580450</td>\n",
              "      <td>-0.554575</td>\n",
              "      <td>-0.582575</td>\n",
              "      <td>-0.552675</td>\n",
              "      <td>-0.561575</td>\n",
              "      <td>-0.572275</td>\n",
              "      <td>-0.570975</td>\n",
              "      <td>-0.556275</td>\n",
              "      <td>-0.532100</td>\n",
              "      <td>-0.583600</td>\n",
              "      <td>-0.569675</td>\n",
              "      <td>-0.574025</td>\n",
              "      <td>-0.608700</td>\n",
              "      <td>-0.538600</td>\n",
              "      <td>-0.552475</td>\n",
              "      <td>-0.537300</td>\n",
              "      <td>-0.533125</td>\n",
              "      <td>-0.584875</td>\n",
              "      <td>-0.569625</td>\n",
              "      <td>-0.539075</td>\n",
              "      <td>-0.575475</td>\n",
              "      <td>-0.532525</td>\n",
              "      <td>-0.579900</td>\n",
              "      <td>-0.559575</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>-0.009000</td>\n",
              "      <td>0.009800</td>\n",
              "      <td>-0.004000</td>\n",
              "      <td>-0.039050</td>\n",
              "      <td>0.011400</td>\n",
              "      <td>-0.008900</td>\n",
              "      <td>0.007400</td>\n",
              "      <td>0.006350</td>\n",
              "      <td>-0.005350</td>\n",
              "      <td>-0.025350</td>\n",
              "      <td>0.005350</td>\n",
              "      <td>0.002550</td>\n",
              "      <td>-0.005500</td>\n",
              "      <td>0.006400</td>\n",
              "      <td>0.002850</td>\n",
              "      <td>0.003100</td>\n",
              "      <td>-0.035850</td>\n",
              "      <td>-0.000100</td>\n",
              "      <td>0.009350</td>\n",
              "      <td>-0.008650</td>\n",
              "      <td>-0.013200</td>\n",
              "      <td>-0.004900</td>\n",
              "      <td>-0.010550</td>\n",
              "      <td>0.019600</td>\n",
              "      <td>0.016650</td>\n",
              "      <td>-0.008550</td>\n",
              "      <td>0.006500</td>\n",
              "      <td>-0.009250</td>\n",
              "      <td>-0.022400</td>\n",
              "      <td>-0.018200</td>\n",
              "      <td>0.003050</td>\n",
              "      <td>-0.002150</td>\n",
              "      <td>0.000500</td>\n",
              "      <td>0.005850</td>\n",
              "      <td>0.008650</td>\n",
              "      <td>-0.012800</td>\n",
              "      <td>-0.003350</td>\n",
              "      <td>-0.004000</td>\n",
              "      <td>-0.006650</td>\n",
              "      <td>-0.002500</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>0.448975</td>\n",
              "      <td>0.476875</td>\n",
              "      <td>0.460575</td>\n",
              "      <td>0.413100</td>\n",
              "      <td>0.470300</td>\n",
              "      <td>0.442675</td>\n",
              "      <td>0.459475</td>\n",
              "      <td>0.469375</td>\n",
              "      <td>0.453175</td>\n",
              "      <td>0.424400</td>\n",
              "      <td>0.468675</td>\n",
              "      <td>0.466900</td>\n",
              "      <td>0.458775</td>\n",
              "      <td>0.485875</td>\n",
              "      <td>0.462725</td>\n",
              "      <td>0.464475</td>\n",
              "      <td>0.430400</td>\n",
              "      <td>0.466700</td>\n",
              "      <td>0.466775</td>\n",
              "      <td>0.460100</td>\n",
              "      <td>0.452025</td>\n",
              "      <td>0.460900</td>\n",
              "      <td>0.450575</td>\n",
              "      <td>0.489350</td>\n",
              "      <td>0.468175</td>\n",
              "      <td>0.448800</td>\n",
              "      <td>0.468075</td>\n",
              "      <td>0.452675</td>\n",
              "      <td>0.425250</td>\n",
              "      <td>0.442650</td>\n",
              "      <td>0.461375</td>\n",
              "      <td>0.454775</td>\n",
              "      <td>0.482400</td>\n",
              "      <td>0.460250</td>\n",
              "      <td>0.464875</td>\n",
              "      <td>0.453475</td>\n",
              "      <td>0.445675</td>\n",
              "      <td>0.475400</td>\n",
              "      <td>0.456575</td>\n",
              "      <td>0.452875</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>3.365000</td>\n",
              "      <td>3.915000</td>\n",
              "      <td>2.970000</td>\n",
              "      <td>2.408000</td>\n",
              "      <td>4.555000</td>\n",
              "      <td>3.614000</td>\n",
              "      <td>3.904000</td>\n",
              "      <td>4.918000</td>\n",
              "      <td>3.648000</td>\n",
              "      <td>3.194000</td>\n",
              "      <td>5.642000</td>\n",
              "      <td>3.904000</td>\n",
              "      <td>4.472000</td>\n",
              "      <td>4.434000</td>\n",
              "      <td>3.358000</td>\n",
              "      <td>4.929000</td>\n",
              "      <td>2.675000</td>\n",
              "      <td>4.342000</td>\n",
              "      <td>3.811000</td>\n",
              "      <td>3.013000</td>\n",
              "      <td>3.228000</td>\n",
              "      <td>2.827000</td>\n",
              "      <td>4.134000</td>\n",
              "      <td>3.918000</td>\n",
              "      <td>3.924000</td>\n",
              "      <td>3.058000</td>\n",
              "      <td>4.144000</td>\n",
              "      <td>2.957000</td>\n",
              "      <td>3.322000</td>\n",
              "      <td>4.467000</td>\n",
              "      <td>3.606000</td>\n",
              "      <td>6.099000</td>\n",
              "      <td>4.073000</td>\n",
              "      <td>4.258000</td>\n",
              "      <td>3.374000</td>\n",
              "      <td>4.345000</td>\n",
              "      <td>2.837000</td>\n",
              "      <td>3.962000</td>\n",
              "      <td>3.734000</td>\n",
              "      <td>3.480000</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 × 100 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 c0            c1  ...           c98           c99\n",
              "count  23814.000000  23814.000000  ...  23814.000000  23814.000000\n",
              "mean      -0.355156     -0.455359  ...     -0.470252     -0.301505\n",
              "std        1.752565      2.004962  ...      1.834828      1.407918\n",
              "min      -10.000000    -10.000000  ...    -10.000000    -10.000000\n",
              "25%       -0.549300     -0.538425  ...     -0.592600     -0.562900\n",
              "50%       -0.009000      0.009800  ...      0.014000     -0.019500\n",
              "75%        0.448975      0.476875  ...      0.461275      0.438650\n",
              "max        3.365000      3.915000  ...      3.111000      3.805000\n",
              "\n",
              "[8 rows x 100 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 113
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "ROnk1G7SacmJ",
        "outputId": "48ce4e1b-c260-4e8c-8304-dbf6789d16cd"
      },
      "source": [
        "dados.loc[:,'c0':'c99'].describe().T['mean'].hist(bins=50)"
      ],
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a81b1190>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 112
        },
        {
          "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": "CSa3o2JrauwP",
        "outputId": "67a685f0-ef87-401e-954a-486347dc483a"
      },
      "source": [
        "sns.boxplot(x='g0', data=dados)"
      ],
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a8243590>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 114
        },
        {
          "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": "7UrBD1GAeBZD",
        "outputId": "8f8558d2-9ef6-4dd4-8f2e-b5ef71eac85a"
      },
      "source": [
        "sns.boxplot(x='g0', y='tratamento', data=dados)"
      ],
      "execution_count": 115,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0a877df50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 115
        },
        {
          "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": 320
        },
        "id": "6AIHZTLIeMD5",
        "outputId": "8870853e-eac0-4e22-df0c-8a5a73d18f99"
      },
      "source": [
        "sns.boxplot(y='g0', x='tratamento', data=dados)\n",
        "plt.figure(figsize=(10,8))"
      ],
      "execution_count": 118,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 118
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0PzRj2OOPQhF"
      },
      "source": [
        "## Aula 2\n",
        "### Desafio 1: ordenar o gráfico countplot :check\n",
        "### Desafio 2: melhorar a parte estética alterando o tamanho da fonte e os labels :check\n",
        "### Desafio 3: plotar os histogramas com seaborn\n",
        "### Desafio 4: estudar sobre as estatísticas retornadas no .describe() :check\n",
        "### Desafio 5: Refletir sobre a manipulação do tamanho das visualizações. :check\n",
        "### Desafio 6: Fazer outras análises com o boxplot e até com o histograma.\n",
        "### Desafio 7: Resumo do que você aprendeu com os dados. :check"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gPgU8CMul4Zg"
      },
      "source": [
        "## Desafio 1 e 2"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        },
        "id": "2XlqV3lqnFaC",
        "outputId": "e2ce1cb7-e0e8-4283-a261-f48393d9687d"
      },
      "source": [
        "ax = sns.countplot(x='composto', data=dados.query('composto in @cod_compostos'), order=['cacb2b860', '87d714366', '9f80f3f77', '8b87a7a83', '5628cb3ee'])\n",
        "plt.figure(figsize=(10, 8))\n",
        "ax.set_title('Compostos mais frequentes', fontsize = 18)\n",
        "ax.set_xlabel('Compostos', fontsize = 14)\n",
        "ax.set_ylabel('Contagem', fontsize = 14)\n",
        "sns.set_palette(sns.color_palette('winter', 5))\n",
        "plt.show()"
      ],
      "execution_count": 151,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kpGrAIP9sHxT"
      },
      "source": [
        "## Desafio 3"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RlS3ROF0zK8K"
      },
      "source": [
        "Deixo aqui um material muito interessante para consulta, de quem tiver interesse (inclusive o meu eu do futuro) https://seaborn.pydata.org/generated/seaborn.histplot.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UMrs8RnOwInq",
        "outputId": "3570765a-706e-4195-c13f-24d713404cd0"
      },
      "source": [
        "dados['g0'].describe()"
      ],
      "execution_count": 170,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    23814.000000\n",
              "mean         0.248366\n",
              "std          1.393399\n",
              "min         -5.513000\n",
              "25%         -0.473075\n",
              "50%         -0.008850\n",
              "75%          0.525700\n",
              "max         10.000000\n",
              "Name: g0, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 170
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
        },
        "id": "xovEDbdzv76x",
        "outputId": "e4800041-c7e5-4536-c55b-9fc9038f2525"
      },
      "source": [
        "sns.histplot(data=dados, x='g0')"
      ],
      "execution_count": 168,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa09c04a850>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 168
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZMAAAEOCAYAAABM5Pr8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3dfVST5/0/8Pd1J8ijnvCo+NA6O2dxbrpKjz0982zVWdgWoH43B+XozlqtX21V3PnqZHWC1W4WcJ3PD23dWm1nz7d/VCd+K9ij3Wrb9cGjthTbWoqtZ6BAkJ+EgJDk/v0REwkECLmT3HeS9+scj9y57iQfEpJ3ruu+7itClmUZRERECkhqF0BERKGPYUJERIoxTIiISDGGCRERKcYwISIixRgmRESkWFDCpKysDHPmzMGUKVPwxRdfuC6vr69Hfn4+srKykJ+fj8uXLytuIyKi4AtKmMydOxevvPIKxo0b53Z5aWkpCgsLUVVVhcLCQpSUlChuIyKi4AtKmGRmZiI9Pd3tMpPJhNraWhiNRgCA0WhEbW0tWltbfW4jIiJ16NW648bGRowePRo6nQ4AoNPpkJaWhsbGRsiy7FNbUlLSsGq4fr0DdvvtBQCSkxNgMpn99Bv6n5brY22+0XJtgLbrY22+UVKbJAkkJsZ7bFMtTLTA04OSnJygQiXe03J9rM03Wq4N0HZ9rM03gahNtTBJT0/HtWvXYLPZoNPpYLPZ0NTUhPT0dMiy7FPbcJlMZreeSWrqSDQ3t/vz1/QrLdfH2nyj5doAbdfH2nyjpDZJEgMGkWpTg5OTk5GRkYHKykoAQGVlJTIyMpCUlORzGxERqUMEY9Xgp59+GtXV1WhpaUFiYiIMBgOOHz+Ouro6FBcX48aNGxg1ahTKysowadIkAPC5bTjYM/Ef1uYbLdcGaLs+1uabQPVMghImWsUw8R/W5hst1wZouz7W5puwG+YiIqLwwTAhIiLFGCYUEYRQuwKi8MYwoYiw9gULA4UogBgmFBE6Ou1ql0AU1hgmRESkGMOEiIgUY5gQEZFiDBMiIlKMYUJhyTlzizO4iIKDYUJhRwjHVGBJApbvNGNJRYvaJRGFvYj+PhMKX86pwGaLHTodpwUTBRp7JhRWhODQFpEa2DOhsCGEY1grPoZpQhRsDBMKK2aLHZAFhBDsoRAFEYe5KCzFxwhseKlT7TKIIgZ7JhTyBuqBWLp44J0oWBgmFNKcx0kAYN8qz98AR0SBxzChkGe2sAdCpDYeMyEiIsUYJkREpBjDhMIGpwITqYdhQmEhIZZTgYnUxDChsMGpwETqYZhQxOAwGFHgMEwoIsTHCKx53sJAIQoQhglFDOey9ETkfwwTIiJSjGFCRESKMUyIiEgxhgkRESnGMCEiIsUYJkREpBjDhIiIFNNEmJw+fRoPPfQQ8vLykJubi+rqagBAfX098vPzkZWVhfz8fFy+fNl1ncHaiIgouFQPE1mW8bvf/Q7l5eU4evQoysvLsW7dOtjtdpSWlqKwsBBVVVUoLCxESUmJ63qDtRERUXCpHiYAIEkS2tvbAQDt7e1IS0vD9evXUVtbC6PRCAAwGo2ora1Fa2srTCbTgG1ERBR8qn9trxAC27Ztw+OPP464uDh0dHTgueeeQ2NjI0aPHg2dTgcA0Ol0SEtLQ2NjI2RZHrAtKSlJzV+HgoxrbRFpg+phYrVasX//fuzZswczZ87E2bNnsXr1apSXlwf8vpOTE/pdlpo6MuD3q4SW61OjtqKdJuij9NDpBfRREvRRwvUzAOijxK3/9dDbZKSkaO/x0/JzCmi7Ptbmm0DUpnqYXLx4EU1NTZg5cyYAYObMmYiNjUV0dDSuXbsGm80GnU4Hm82GpqYmpKenQ5blAduGw2Qyw26XXdupqSPR3Nzu19/Pn7Rcnxq1CQHcMPfA2mODTS9g7ZHcfgYAa48NiImCtccKa4+MlpZ2yPIQNxxEWn5OAW3Xx9p8o6Q2SRIeP4QDGjhmMmbMGFy9ehVfffUVAKCurg4mkwl33nknMjIyUFlZCQCorKxERkYGkpKSkJycPGAbEREFn+o9k9TUVGzcuBFFRUUQtwbA//SnP8FgMGDjxo0oLi7Gnj17MGrUKJSVlbmuN1gbEREFl+phAgC5ubnIzc3td/ldd92F1157zeN1BmujyKD04LsQ0NSQF1EoU32Yi8gXQgAlBzt9up7z39oX+M2LRP6iiZ4JkS8sXcP75sT4GIFlO8wAgH2rEvjNi0R+xDChiGK2MECIAoHDXEREpBjDhIiIFGOYEBGRYgwTikicxUXkXwwTijgJsQIbXhr+tGIiGhjDhCLScKcVE9HgGCZERKQYw4SIiBRjmBARkWIMEwo5zrW1iEg7uJwKhRQhgOU7zYiPEWCeEGkHeyYUcswWOxdpJNIYhgkRESnGMCEiIsUYJkREpBjDhIiIFGOYEBGRYgwTIiJSjGFCRESKMUyIiEgxhgkRESnGMCEiIsUYJhRSuMAjkTYxTChkCAGUHPTv1+1yBWIi/2CYUEjx59ftxscILNthxvKdZgYKkUJcgp4imtnC1YeJ/IE9EyIiUoxhQkREijFMiIhIMYYJEREpxjAhIiLFNBEmN2/eRGlpKR588EHk5ORgw4YNAID6+nrk5+cjKysL+fn5uHz5sus6g7UREVFwaSJMKioqEB0djaqqKhw7dgxFRUUAgNLSUhQWFqKqqgqFhYUoKSlxXWewNgpPgTwXhOeZECmjeph0dHTgyJEjKCoqgrj1ik5JSYHJZEJtbS2MRiMAwGg0ora2Fq2trYO2UXgKxNnvTgmxAmuetzBQiBRQ/aTFK1euwGAwYNeuXXj//fcRHx+PoqIixMTEYPTo0dDpdAAAnU6HtLQ0NDY2QpblAduSkpLU/HUogPx59ntfHZ08eZFICdXDxGaz4cqVK5g6dSrWrVuHCxcuYNmyZdi+fXvA7zs5OaHfZampIwN+v0poub5A16aPunnrfwGdXkAfJfXb9tTm+F8/6HUlSSAlRZ3HVsvPKaDt+libbwJRm+phkp6eDr1e7xqymj59OhITExETE4Nr167BZrNBp9PBZrOhqakJ6enpkGV5wLbhMJnMsNtl13Zq6kg0N7f79ffzJy3XF+jahACsPVYAgLXHBptewNoj9dv21IaYqCGvaxcCLS3tkGUPdx5AWn5OAW3Xx9p8o6Q2SRIeP4QDGjhmkpSUhFmzZuGdd94B4JilZTKZMHHiRGRkZKCyshIAUFlZiYyMDCQlJSE5OXnANiIiCj7VeyYA8NRTT+HJJ59EWVkZ9Ho9ysvLMWrUKGzcuBHFxcXYs2cPRo0ahbKyMtd1BmsjIqLg0kSYTJgwAYcOHep3+V133YXXXnvN43UGayMiouDyepjrjTfe8Hj5iRMn/FYMERGFJq/DZP369R4v58mCREQ05DDXlStXAACyLLt+7t02YsSIwFRGREQhY8gwmTdvHoQQkGUZ8+bNc2tLSUnBypUrA1YcUTAJgaBPDSYKF0OGyWeffQYAWLhwIV5++eWAF0SkhvgYx5IqFUviGChEPvD6mAmDhMIdl1Qh8p3XU4OvXLmCbdu24eLFi7BYLG5tb731lr/rIiKiEOJ1mKxZswYTJkzAunXrEBsbG8iaiIgoxHgdJpcuXcLhw4chSaqvwEJERBrjdTLce++9qK2tDWQtREQUorzumYwbNw5LlizBvHnzkJKS4tbm/GZEIiKKTF6HSWdnJx544AFYrVZcvXo1kDUREVGI8TpMtmzZEsg6iIgohA1ravBAJkyY4JdiiIgoNHkdJr2XVXESwvGVqBcvXvR/ZUREFDK8DhPnsipOzc3N2LVrFzIzM/1eFBERhRafTxpJTU3F+vXr8eyzz/qzHiIiCkGKzkD86quv0NnZ6a9aiIgoRHk9zFVYWOg6RgI4pgp/+eWXeOKJJwJSGBERhQ6vw2TBggVu27Gxsbj77rsxceJEf9dEpBrn5yUuQ080PF6Hyfz58wNZB9GAhLj9Jh9I8TECy3aYAQB7VyYwUIiGwesw6enpwd69e3H06FE0NTUhLS0NeXl5WLZsGb+6lwJGCGD5TjPiYwSCkCcwW/idJkS+8DpMKioq8PHHH+Opp57C2LFj0dDQgD179sBsNuPJJ58MZI0U4cwWOyALJMRyxWoirfI6TE6cOIGjR48iMTERADBp0iRMnToVeXl5DBMiogjn9Uc9eYAB5IEuJyKiyOF1mGRnZ2P58uV4++23UVdXh3/961944oknkJ2dHcj6iIgoBHg9zLV27Vrs3bsXmzZtQlNTE0aPHo2f//znWL58eSDrIyKiEDBkz+Ts2bOoqKjAiBEjUFRUhJMnT+LChQuorq5Gd3c3v32RiIiGDpP9+/fj3nvv9dg2a9Ys7Nu3z+9FETkF4/wSIlJuyDC5ePEiZs+e7bHt/vvvR01Njd+LIgIcQVJyUJ213xhiRMMzZJiYzWb09PR4bLNarejo6PB7UUROlq7gn0SYECuw5nkLA4VoGIYMk0mTJuHMmTMe286cOYNJkyb5vSgiQN3eQUcnz4QnGo4hw+Q3v/kNSktLUV1dDbvd8QKz2+2orq7Gxo0b8cgjjwS8SIo8ag5xEdHwDTk1OCcnBy0tLVi3bh16enpgMBjQ1taGqKgorFq1CkajMRh1UgRSY4iLiHzj1XkmjzzyCBYsWIBz586hra0NBoMBP/jBD5CQkBDo+oiIKAR4fQZ8QkICZs+ejZycHMyePTsgQbJr1y5MmTIFX3zxBQDg/PnzyM3NRVZWFh599FGYTCbXvoO1ERFRcGlmGdZPP/0U58+fx7hx4wA4jsusXbsWJSUlqKqqQmZmJrZu3TpkGxERBZ8mwqS7uxubNm3Cxo0bXZfV1NQgOjoamZmZAICCggKcOHFiyDYiIgo+r9fmCqTt27cjNzcX48ePd13W2NiIsWPHuraTkpJgt9vR1tY2aJvBYPD6fpOT+w/VpaaO9PG3CA4t1+fv2vRRN2/9L6DTC+ijpCG3PbU5/tcP67YkSSAlJTiPtZafU0Db9bE23wSiNtXD5Ny5c6ipqcGaNWuCft8mkxl2++0l9FNTR6K5uT3odXhLy/X5uzYhAGuPFQBg7bHBphew9khDbntqQ0zUsG/LLgRaWtoD/tW9Wn5OAW3Xx9p8o6Q2SRIeP4QDGgiTDz/8EHV1dZg7dy4A4OrVq1i8eDEWLVqEhoYG136tra2QJAkGgwHp6ekDthERUfCpfsxk6dKlOHPmDE6dOoVTp05hzJgxOHDgAJYsWYKuri589NFHAIBXX33V9d0p06ZNG7CNiIiCT/WeyUAkSUJ5eTlKS0tx8+ZNjBs3DhUVFUO2ERFR8GkuTE6dOuX6+Z577sGxY8c87jdYG4U2IbhqL1Go0VyYUGQTAli+04z4GAGt5IkQCPiBeKJQp/oxE6K+zBa7JlbtFQKQJGDtC1yOnmgo7JkQeRAfI7Bsh6OHZOlit4RoKAwTogGYLXZAFhDslhANicNcRESkGMOEiIgUY5gQEZFiDBMiIlKMYUJERIoxTIiISDGGCRERKcYwIfICTzUhGhzDhGgI8TECa57nkipEg2GYEHlBC2uFEWkZw4SIiBRjmBARkWIMEyIiUoxhQprCg9xEoYlhQpohBFBysFPtMojIBwwT0hRLF2dNEYUihgkRESnGMCEiIsUYJkREpBjDhIiIFGOYEHlJCE5dJhoIw4TIC/ExAst2mLF8pxkSXzVE/fBlQeQls8UOyDJXECbygGFCNExcQZioP4YJaQY/7ROFLoYJaQKXUiEKbQwT0gwupUIUuhgmRESkGMOEVMfzN4hCn17tAiiyCQEs32lGfIwA84QodKneM7l+/Toee+wxZGVlIScnBytWrEBraysA4Pz588jNzUVWVhYeffRRmEwm1/UGa6PQYrbYQ266LXtSRO5UDxMhBJYsWYKqqiocO3YMEyZMwNatW2G327F27VqUlJSgqqoKmZmZ2Lp1KwAM2kYUaPExgicuEvWhepgYDAbMmjXLtT1jxgw0NDSgpqYG0dHRyMzMBAAUFBTgxIkTADBoG1EwhFpPiijQNHXMxG634/Dhw5gzZw4aGxsxduxYV1tSUhLsdjva2toGbTMYDF7fX3JyQr/LUlNHKvslAkzL9flamz7KAp1eQB8l3doWPm97anP8r/fLbbnabDJSUvzzXGj5OQW0XR9r800gatNUmGzevBlxcXFYuHAhTp48GfD7M5nMsNtl13Zq6kg0N7cH/H59peX6fK1NkgBrjxU2vYC1x/Gmbe2x+bztqQ0xUbD2WP1yW7fbZLS0tEO+/efjEy0/p4C262NtvlFSmyQJjx/CAQ2FSVlZGb7++mvs27cPkiQhPT0dDQ0NrvbW1lZIkgSDwTBoG4UOnvVOFD5UP2YCAM8++yxqamqwe/dujBgxAgAwbdo0dHV14aOPPgIAvPrqq8jOzh6yjUILz3onCg+q90wuXbqE/fv3Y+LEiSgoKAAAjB8/Hrt370Z5eTlKS0tx8+ZNjBs3DhUVFQAASZIGbCMKFudsLqVDXUThQPUwmTx5Mj7//HOPbffccw+OHTs27DaiQHN+WRYA7F2ZwEChiKd6mBCFKrOFQ3RETpo4ZkJERKGNYUJERIoxTIiISDGGCRERKcYwIVKI38dCxDAhlYTLG3BCrEDJwU6sfYGrCFNk49RgCrpw+0IsS5cdHV080YQiG3smpIpQ/EIsIhoYw4SIiBRjmFDQheuxhXA5DkTkC4YJBVW4LjvvXKtr+U4zA4UiEg/AU9CF67LzXKuLIhl7JkR+xp4JRSKGCZEfJcQKrHme55xQ5GGYEPkZpzxTJGKYEAUAZ3ZRpGGYEPkZZ3ZRJOJsLgqqSHlz5cwuijTsmVDQhOs5JoOJlPAkYphQUIXrOSaeOGd2SRKPoVD44zAXBUXEvpnKMkoOdqKpzQYA2LsyATIXGKYwxDChgAu3JeeHy9Jldx1DEQIMEwpLHOaioOCS8zyhkcIbw4QCim+c7iI9UCl8MUwoYIQA1r7gOABN7oQAJAl4bGuLW+AyfClU8WVOgSXL2PBSZE0HHorzGNL/PNfh9nW/zvBloFAo4gF4CrhImg7sLbPFDsgCUSN0rvAQwrdhMOf1eWCf1MQwIQqy3j2P+BjhmjocHyP67TNUQDh7OQCnHZO6GCZEQRQfI/oN+7mmDssCQggIASzb0T8g+k4rdgZO36Vb1OipcMoz8ZgJ+U3fA8kc+/dsqGE/IRwBYbbYXY+jJLlPZhhocoOzp9J7kclAPxc81kMAeybkB0IAD29uhtVqxd6VCa5P1pF6kqISvXsuCbHuQ2ACwJrnLdj6WJxj5z6TG/r2VJzbnobBPPVyButZ9G73tG/fYz3sqUQe9kzIZ70/8Zo7HZ+kJcmxmCNPUvRd756LcwjM9VjKMpbtcMwE672vM3icC2n2PkGydy8HcO/VeOr1OPfp/bOzfah9Afd9vOmt9N2HPZzQxDAhn/QeTnG+sSTEOj5Vc/ZWYA0U1JYuu9tj39F5O0D6LjrpXDPMOUUZsuwKn75DaM79XSF2a19nuDgDzBlMJQc7Xfs7h9sG+tc3ePpuDzRUN1jg9L0e3RbIxyOkh7nq6+tRXFyMtrY2GAwGlJWVYeLEiWqXFZY8DVuYLXZXgDgxSLSj38H+W2/wziGz3gf+E2Ilt/Bxhk2ruQvRehsE4LZv39tyfiFY76FN53CbJAEbXro9XBcfI7n93Pu2+m4LIfDnpXH47+2Oobp9qxIAOIZR9fou7Fwe4zb81nvywr5VCa5hQec+suz+hjrQUFw4DtM5PyT8rXhkQG4/pMOktLQUhYWFyMvLw9GjR1FSUoKDBw+qXVZY6P1ikiT0e1H2fkE6AoQfAbWob7i7BUIffQPB0mWHuVPAqrd73L/vbXm67d69VdeMtV77ij631Xc7IVbChpc6XR9cnL0gs8UOfdTtY0O9vyvH7ZjRAMHk3O79N+0kRP+/d2/0fW30Da3es+wGavO0rz8Fcug5ZMPEZDKhtrYWf/vb3wAARqMRmzdvRmtrK5KSkry6DUnq/wbo6bK+1Ow663SBv3MhgG2v38Tq+dEAgH3/143xqTps+d8uxI4QiItxvFl8a2wU4qIFYqMFEuIFovUSYqMd9cXGSK62obaHs68vtzUyTo8RentQ6/J235FxOlht6j4+vbdNN+xu272fVyX3mzRKUvQ7yYjqt63T6aDXCzx9uBOxIxz30Xvf/W/0YHya3u132v9GD1INOtf2cyd6YLphc/1dO38en6rr1+Z4fDxvS0K4vV4k6f+hua3b1fbb/4rG04cdYfeHh2Ox93g3TDdsA247911fEOu3QBECuGOM4y3fm/c5Twa7npDl0OzM1dTUYN26dTh+/Ljrsp/97GeoqKjAd7/7XRUrIyKKPDwAT0REioVsmKSnp+PatWuw2RxdQ5vNhqamJqSnp6tcGRFR5AnZMElOTkZGRgYqKysBAJWVlcjIyPD6eAkREflPyB4zAYC6ujoUFxfjxo0bGDVqFMrKyjBp0iS1yyIiijghHSZERKQNITvMRURE2sEwISIixRgmRESkGMOEiIgUY5h4cOjQIWRnZyMnJwd5eXlql+PR+++/j4yMDLz88stql+Ly1FNPITs7G7m5uSgoKMAnn3yiaj319fXIz89HVlYW8vPzcfnyZVXr6e369et47LHHkJWVhZycHKxYsQKtra1ql9XPrl27MGXKFHzxxRdql+Jy8+ZNlJaW4sEHH0ROTg42bNigdkkup0+fxkMPPYS8vDzk5uaiurpatVrKysowZ86cfs9fwF4XMrmpqqqSCwsL5fb2dlmWZbm5uVnlivprb2+Xf/nLX8pLly6VDx06pHY5LqdOnZK7u7tdP8+dO1fVehYtWiQfOXJElmVZPnLkiLxo0SJV6+nt+vXr8r///W/X9jPPPCP//ve/V7Gi/mpqauTFixfLDzzwgPz555+rXY7L5s2b5T/+8Y+y3W6XZVk7r1G73S5nZma6HquLFy/KM2bMkG02myr1fPjhh3JDQ0O/5y9Qrwv2TPr461//ihUrViAhwbHUdUpKisoV9ffMM89g8eLFSExMVLsUNw888ACioqIAADNmzMDVq1dht6uzJL1zIVCj0QjAsRBobW2tZj79GwwGzJo1y7U9Y8YMNDQ0qFiRu+7ubmzatAkbN25UuxQ3HR0dOHLkCIqKiiBurbiqpdeoJElob28HALS3tyMtLQ1S3+9WDpLMzMx+K4IE8nURsqsGB0pdXR0uXLiA7du3o7u7GwUFBfjVr36ldlku//znP9He3o7s7Gy89dZbapczoFdeeQU//vGPVXshNTY2YvTo0dDpdAAAnU6HtLQ0NDY2am6VBLvdjsOHD2POnDlql+Kyfft25ObmYvz48WqX4ubKlSswGAzYtWsX3n//fcTHx6OoqAiZmZlqlwYhBLZt24bHH38ccXFx6OjowHPPPad2WW4C+bqIuDCZP3/+gJ8A3333XdhsNjQ2NuLvf/87rl+/jocffhjf+ta3cO+996pe34kTJ/DnP//Ztex+sA312Dn/QI8fP45jx47hlVdeCWZ5IWvz5s2Ii4vDwoUL1S4FAHDu3DnU1NRgzZo1apfSj81mw5UrVzB16lSsW7cOFy5cwLJly3Dy5EnXaIJarFYr9u/fjz179mDmzJk4e/YsVq9ejePHjyM+Pl7V2oIh4sLk9ddfH7R97NixMBqNkCQJycnJuP/++/Hxxx8HLUwGq++jjz5Cc3MzFixYAMBxEPf06dNoa2vDihUrVK3N6eTJk/jLX/6CF198UdXhh94Lgep0Os0uBFpWVoavv/4a+/btU60X19eHH36Iuro6zJ07FwBw9epVLF68GFu2bMEPf/hDVWtLT0+HXq93DdNMnz4diYmJqK+vx/e+9z1Va7t48SKampowc+ZMAMDMmTMRGxuLuro6fP/731e1NqdAvi608derIUajEW+//TYAwGKx4OzZs7j77rtVrsohMzMT7733Hk6dOoVTp04hKysLK1euDEqQeOP06dPYsmULDhw4oPrwSCgsBPrss8+ipqYGu3fvxogRI9Qux2Xp0qU4c+aM6+9szJgxOHDggOpBAgBJSUmYNWsW3nnnHQCOmUkmkwl33nmnypUBY8aMwdWrV/HVV18BcAyZm0wm3HHHHSpXdlsgXxdcm6uPrq4ubNiwAbW1tQCAvLw8LF26VOWqPCsuLsa0adM0Mzxy3333ISoqyu0P88UXX1RtooCWFwK9dOkSjEYjJk6ciJiYGADA+PHjsXv3bpUr62/OnDnYt28fvvOd76hdCgDHcZMnn3wSbW1t0Ov1WL16NX70ox+pXRYA4B//+Aeef/551+SAVatW4Sc/+YkqtTz99NOorq5GS0sLEhMTYTAYcPz48YC9LhgmRESkGIe5iIhIMYYJEREpxjAhIiLFGCZERKQYw4SIiBRjmBARkWIMEyINeu+995CdnY3p06dj0aJF+M9//qN2SUSDYpgQaUxraytWrFiBoqIifPDBB5g2bRp++9vfql0W0aAibm0uIq349NNPsX79enz99deYPXs2JEnCnXfeibFjx2Ly5Mn46U9/CgBYuXIl7rvvPtTV1eGuu+5SuWoiz9gzIVJBd3c3VqxYgfnz5+ODDz6A0WjEm2++CcCx1MqUKVNc+8bFxeGOO+7Al19+qVa5RENimBCp4MKFC7Barfj1r3+NqKgoPPjgg65Vby0WC0aOHOm2f0JCAjo6OtQolcgrDBMiFTQ1NWH06NGuBQEBuJYBj4uLg9lsdtu/o6MjIr4Tg0IXw4RIBampqbh27Rp6r7Pa2NgIAJg8eTI+++wz1+UWiwXffPMNvv3tbwe9TiJvMUyIVDBjxgzodDq8/PLLsFqtePPNN/HJJ58AAObNm4dLly6hqqoKN2/exO7duzFlyhQefCdN4xL0RCr55JNP8Ic//AHffPMNZs+eDbvdjoyMDDzxxBN49913sWnTJjQ0NGD69OnYsmWL6l84RjQYhgmRRixYsAAFBQX4xS9+oXYpRMPGYS4ilXzwwQdobm6G1WrF66+/js8//xyzZ89Wuywin/CkRSKV1NfXY/Xq1ejs7MT48eOxY8cOpPD79CUAAAA2SURBVKWlqV0WkU84zEVERIpxmIuIiBRjmBARkWIMEyIiUoxhQkREijFMiIhIMYYJEREp9v8BOVG9V3FPBFQAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "id": "AUVMt6flweLd",
        "outputId": "dc5c4687-25e1-4fd9-d1c9-6412987a2208"
      },
      "source": [
        "sns.histplot(data=dados, x='g0', bins=30)"
      ],
      "execution_count": 173,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa09ba81410>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 173
        },
        {
          "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": 304
        },
        "id": "TBU5rU1tw0Ug",
        "outputId": "52616205-f9b9-4cd6-869a-902bc5746ead"
      },
      "source": [
        "sns.histplot(data=dados, x='g0', kde=True)"
      ],
      "execution_count": 174,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa09b95d910>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 174
        },
        {
          "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": "1FWhKPBxxFnK",
        "outputId": "0400cfb1-1cca-4f16-d20e-d64919c9c967"
      },
      "source": [
        "sns.histplot(data=dados, x='g0', hue='tratamento')"
      ],
      "execution_count": 175,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa099625510>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 175
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAEMCAYAAADXiYGSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3deXhTVf4G8PfeNElbtra0lCICslpFQami/nBUCrRIW2RGBmTAYa0LYHFGhAGhQHWwLSIoINSNXdRxhGGRsuqMyyCgIBVEKGUZW+heuiVpkvv7IyR0SdubNstt+36ex8fcnCxfkiZv7jn3niNIkiSBiIioHqKnCyAioqaBgUFERLIwMIiISBYGBhERycLAICIiWRgYREQkCwODiIhk8fJ0Aa5WUFAKs/nmqSbt27dGXl6JByuqm5LrY20No+TaAGXXx9oapjG1iaIAf/9WdtuafWCYzVKVwLBep2RKro+1NYySawOUXR9raxhX1MYuKSIikoWBQUREsjT7Likicj5JklBQkAODQQfAdd0y2dkizGazyx6/MZp2bQI0Gm/4+wdBEATZj8vAICKHlZQUQRAEBAd3hiC4rqPCy0uE0ajML+WmXJskmVFYmIuSkiK0aeMn+3HZJUVEDisvL0GbNn4uDQtyHUEQ0aaNP8rLHTuSiu82ETnMbDZBpWIHRVOmUnnBbDY5dB8GBjUbDnTFkhM40vdNytOQ94+BQc3GpoMGhgaRCzEwqNnQGZR7EhU55skno3H06JEG3/+11xYhJWWNEytyHiXXVh8GBhE1KUaj0dMltFgctSIiRUlIWIBr165izpy/QKUSMXHiVLzzztuYO/cVfPDBuwgJ6YTVq9/FK6/MwU8/nYBer0PPnr3x17/ORffuPbBjxz+xb98XEAQBn376Ee65JwxJSW9i06b12LnzcxQUFCA4OBjTpj2PRx55DACwZ89O7Nz5OUJD78SePTvRpk07LFy4BFeuXMZ7762FwWDA9OlxGD48CgBgMBiwZs07OHBgHyoqKvC73z2KF174C7Rab/zwwzEkJCzEH/84Dlu2bIBKJSI2djpGjIiptbaLFzOwbNlSnD//KwIDO+DZZ6dj0KBHPPk22MU9DCJSlAULEhAc3BGJictx+PA3GDx4KADgxx9/wJYt/8Dy5W8DAB544CFs2/ZP7Ny5H717344lSxYAAEaO/D2GDRuOceOexv79/0FS0psAgFtu6Yw1a95DauqXmDRpGhISFiA3N9f2vKdP/4wePXph9+6DGDo0AvHx83DmzGls2/Y5Fi5MwPLlSSgrKwMArF37Ni5fvoT167fi448/R05ODj788D3bY+Xn56G0tATbt3+BuXMXYPnyRFy/ft1ubUajEXPmvIj7738AO3fux4svzsbixQtw+fJFd7zcDmFgEFGTMHlyLHx8fKDVegMAoqJGwte3FTQaDSZPjsX587+ipKT28woGDx6CwMAgiKKI8PBh6Ny5C86cSbO1h4R0wogRMVCpVAgPH4bs7GuYNGkqNBoN7r//AajVavz22xVIkoR//etzzJr1V7Rt2w6+vq3w9NOTcPDgPttjqVRemDhxKry8vPDgg4Pg4+OLy5cv2a3r559Poby8HOPHT4RarcaAAffhoYcGYf/+VCe9cs7DLikiahKCgzvaLptMJqSkrMHhwwdQWFgIUbQcHldUVIjWrVvbvf8XX+zCxx9vxdWrmQCA8vJyFBUV2tr9/QNsl7VaLQAgIKB9levKyspRWFgAnU6HiRP/ZGuTJKnKVBzt2rWDl9fNr1dvb2+Ul5fZrSs3NwcdOgRDFG/+fu/YMQS5uTl1vBqewcAgIsWp7xyB/fv34uuvv8KKFWsQEtIJJSUlGD78MUiSZPf+V69mISnpNaxY8Q769r0LKpUKEyeOg9SAA+vatfODVqvF1q3/QEBAoMP3r15bYGAQsrOvwWw220Lj2rWruPXWLo4X52LskqImy/q547kXzY+/fwAyM3+rtb2srAxqtQbt2rWDTqfDunWr67x/eXk5BEGAv79l3qTdu/+FjIz0BtUmiiKio0dh5co3UFCQDwDIycnGkSPfybp/9druuKMvtFpvbNmyEUajET/8cAzffPMfDBkS0aD6XImBQU2SIFhO1BNFIGWPDu/sKGJwNCMTJkzEhg3vY8iQ3+Hw4YM12iMjR6Bjx4544onHMX78aNx5Z98q7VFRI3HxYgYiIx/F3/72V9x2W3eMGfMnPPPMZMTEDMOFC+dx1139Glzfc8/NROfOnREbOwnDhj2CWbOer3WMorrqtanVaiQmLseRI99ixIhwLF+eiFdeWYyuXbs1uD5XESSpITtlTUdeXkmVlaeCgtogJ6fYgxXVTcn1KaU2QbD8l7JHj9jHtVj5eTn822mh11dgaqS2Qd0MrqSU1602Danv6tVL6Nixq4squqkpzwjrSXJrs/c+iqKA9u3tjwNxDIOaFEtQ6OCtEbhHQeRmDAxqcqxTgFiPjCEi9+AYBjVp3Msgch8GBjVZWo2Aj7+qYGgQuQm7pKhJqC0UdBUKG+Emasa4h0GKZx3oTtmj494EkQdxD4OaBK51QeR5btvDOHz4MJ544gmMHDkSMTEx2LfPMlFXRkYGxowZg4iICIwZMwYXL1603aeuNiIici+37GFIkoSXX34ZW7ZsQe/evfHLL7/gqaeewpAhQxAfH49x48Zh5MiR2LFjBxYuXIiNGzcCQJ1t1DLV1yUlCFDciXstQdt2raDVOP/3p6HCjKLCUqc/LjWM27qkRFFEcbHlbNLi4mJ06NABBQUFOH36ND788EMAQFRUFBISEpCfnw9JkmptCwgIqPV5qPnyrueoKK1GwKaDBowfrGFouJlWI2L26mtOf9zk6cFOf0xXefLJaCQlvYnu3Xt6uhSXcUtgCIKAFStW4Pnnn4evry9KS0uRkpKCrKwsBAcHQ6VSAQBUKhU6dOiArKwsSJJUaxsDo+Wq76gojnWQ0hiNxipTnTdlbvlXGI1GrFu3DmvWrMGAAQNw/PhxzJo1C0lJSS5/bntzogQFtXH58zaGkuvzVG2+viZo1QJ8NIDeqLJdBizbAOCj9YIoAoGBynv9lPyeAo7Xl50twsuraheUq868r/48tTl16iTefnslysosXVgzZ85CmzZtsXx5EsrLy+Hj44O//OVl3HHHncjMzMSkSeMxcuQo/Pe/30Kv12Px4lfxz39+hp9/PgWt1hvJycvRvn3t05efOPEDkpNfBwDcc8+9ACSoVJbX5YknRmDo0AgcP34UPXr0xIsvzsYbbyTizJnTAIDhw0dgwoSJAICMjAtISFgEna4cvXr1xv/+dwWTJk3FoEG/w5Ytm3DgQCpMJhM0Gg1efnkeevfu47TXTRRFh957twTGmTNnkJ2djQEDBgAABgwYcGPlLC2uXbsGk8kElUoFk8mE7OxshISEQJKkWtscwckHncdTtQkCUFZmgFkjAJKI8nITzEbLZQAoLzdBq9aiXG+E3iAhN7dYUV1SSn5PgYbVZzaba0xuV/lz5kxyJtG7fr0Ic+a8hNdeS8Jdd/WDyWRCUVEhpk59GvPmxSMs7H4cPXoEc+e+hI8/3g6TyYyiokL07dsPsbHTsXXrRsyY8SzefnsdXn55PpYtex0ff7wNsbHP230+g8GABQv+hgULEnDvvWE4eHA//vGPT2Ay3XxdiotLkJKyAQCwZs1bMJnM2LBhG8rKSvHMM5PRrVsPPPjg/yE+/hWMGTMOERGP45dfTiM2diJMJglGoxnDhj2OMWMsCzUdPXoEr7/+GlJS1tf7esidfNBsNtd47+uafNAtR0l17NgRV69exYULFwAA6enpyMvLQ9euXREaGopdu3YBAHbt2oXQ0FAEBASgffv2tbYREVWWlnYK3brdZpuyXKVSoaCgAGq1GmFh9wMA7rtvINRqtW0ach8fXzz00CAAQO/etyMoqAN69bL8er/99tvx229Xan2+y5cvQav1xr33hgEAwsOH1ljpLzJyhO3ysWPfIzp6FARBQKtWrTFkyDAcO/Y9SktLkJGRjqFDI2887x3o0ePmGMjZs2cwffo0TJjwR6xa9SbOn/+1Ua9TY7llDyMoKAiLFi1CXFycbbWpv//97/Dz88OiRYswd+5crFmzBm3btkViYqLtfnW1ERE1hkajtl0WRREajbbStqVXwzFVu+R8fX3k39POkRwVFRVYsGAOVq16F3363I7c3Bw88cRwB2tyLreNxMTExCAmJqbG9T169MCnn35q9z51tRGRcugNZpcc0WSokLfeRN++d+HixQykpf2Evn3vhslkgr+/PyoqKvDDD8dw771hOH78KIxGI7p06dro9bK7dOkKvV6Pkyd/RL9+9+Dw4QMoKam9Wy8s7H7s3r0Dd9/dD+XlZTh4cB+mT5+FVq1a47bbumP//lQMGxaJs2d/wYULlpUADQY9TCYTOnSwvK7//Kfnvwubx9A9EXnU9SLXnCshd8C7bdt2eO21JLz99pvQ6cohCCKmT4/Da68lYcWKZdDpyuHt7YNXX02EWq2u/wHrodFokJDwdyQlLYUgCOjX7x4EB3es9fYTJ07Fm28m4emnxwAAIiIexwMPPAQAeOWVxVi6dAk2b/4Q3bv3RPfuPdC6dWu0atUaU6Y8g2nTnkbbtu3w2GPhja67sbjinsIouT5PDnq/tb0c3hoBPt4iCotvHDHlbfkyKSw2wa+tFpAsg95KW3VPye8pwBX3GspZtZWVlcHHxweCICAj4wJmznwGW7d+hrZt27q8Nq64R0TUhKSl/YTVq1cCsPzKmTNnfqPCwpUYGEREtdi5czs+++yTGtfPnx+P0NBQpzzH/fc/gPvvf8Apj+VqDAwiolpERz+B6OgnPF2GYnA9DCIikoWBQUREsjAwiIhIFo5hEFGjtfXzhVatcvrjGowmFBWUOf1xqWEYGETUaFq1CrN3n3X64yaPkDcza3Pw/vvr8PTTkxt0YuH7769DeXk5ZsyY5YLKbmKXFClefavsETUHH374LioqKuy2GY1GN1djH/cwSNEEAXWuskdkZT0BrqzM0oU1fXoc2rRpU2VqkFmzXkJo6J3IysrE1KkTEB09CkeOWNbDWLjwVezY8RlOn06DRqPF66+/Ued6GBkZF7B8eTLy8/MgSRKeemoChg+Pwv/+dwXJyX9HYWEBVCoVYmOn26YBGTQoDLGxz+Pf//4SRUVFmD79BTz6aDjeeMMysepzz02GIIh4++11eOutN6BSqXD58iWUlZVh/fqt2Lx5PVJT9wAAQkPvxKxZs+Hr61ujto0b1+Pw4QMwmUwIDOyAOXPm1/lvkYt7GKRoggDo61llj+j69SLMmzcbzz//AjZs+AgffLAZPXv2wvz5L2PatOewYcM2TJ36LObPf9n2K76oqAh3390fH364FVFRIzFr1nP4/e9HY8OGbejTJ9TuCXtWRqMRL7/8F0RHj8KGDduwcePHtqnSFy9+BUOHRmDDhm1YsCABCQkLUFBQYLtvq1at8N57G7FgwWKsWLEMAPDXv84BALzzzgdYv34r2rSxLGp07tyveOONt7F+/VZ89903SE3dg7VrP8DGjR/DZDJh/fr3atSWmroHv/12BevWrccHH2zBgw/+H1atWuGU15l7GKRY1r0LNGLvQhCgqHmlyDUcXQ/D19e33vUwjh49UuvzXb58CSaTCYMHD7Fd166dH8rKSnH+/K94/HHLzNy33dYdPXv2wc8/n8KgQb8DAISHRwAA7rzzLuTm5kCv10Or1dZ8EgCPPhoOHx/LNOnHjn2P8PBhaNXKMs9TTMzvsXLlshr3+frrf+Ps2TOYPHk8AMBkMtZYq6OhGBikaPoKyeHAqNx9temgARPCNQwNqsH562HIfV7L2sIqleWosrqex5E1NawkScKkSVMwfHjN5SQai11S1KxoNQJS9uiQskcHQQB0BiZFS1B5PQwANdbDAFBlPYzG6tKlK1QqFQ4dOmC7rqioEL6+rdCzZ2988YVlpdCLFzOQnv4r7rzzrnof09e3FUpLS2ptDwu7H4cO7UdZWSkkScKuXdtx330Da9xu0KDf4bPPPsX169cBWJaTPXfOOSv1cQ+Dmh2dQeIehZvpK0wuOQTWYJT3K9/d62F4eXkhKWk5li1LxPr170IQRDz11HhERo5AfPyrSE7+Oz75ZCtUKhVeeWUJ/P39633MsWP/hBdeeBZarTfefntdjfYHH/w/pKefwzPPTAJgWc71z3+eUuN2kZEjUFxchJkzYwFY1u0eNWo0evXq3ch/NdfDUBwl1+fu2gTB0qUEAVXWwKhrPQzrtiQBcaN8kLJHj2nDPbs+hpLfU4DrYTRUc6jN0fUw2CVFzRYPxSVyLnZJUbPkrRF4/gY1mjvWw2hKGBjUbOl4/gY1EtfDqIpdUkTUIM18+LPZa8j7x8AgIod5eWlQWnqdodFESZKE0tLr8PLSOHQ/dkkRkcP8/YNQUJCDkpJClz6PKIowm5V5JFJTr83LSwN//yCHHpeBQUQOU6m8EBgY4vLnUfIhyS2xNnZJERGRLAwMIiKShYFBiiQIPPGOSGk4hkGKIwhAyh4dvDUCBJGpQaQU3MMgRdIZJM40S6QwDAwiIpKFgUFERLIwMIiISBYGBhERycLAICIiWRgYREQkCwODiIhkYWAQEZEsbgsMvV6P+Ph4DBs2DNHR0ViwYAEAICMjA2PGjEFERATGjBmDixcv2u5TVxsREbmX2wIjOTkZWq0Wqamp2LlzJ+Li4gAA8fHxGDduHFJTUzFu3DgsXLjQdp+62qj5cvYcUpyXisg53BIYpaWl2L59O+Li4iDc+OQGBgYiLy8Pp0+fRlRUFAAgKioKp0+fRn5+fp1t1HwJAvDxVxVO+4LXagSk7NEhZY+OoUHUSG6ZfPDKlSvw8/PDqlWrcOTIEbRq1QpxcXHw9vZGcHAwVCoVAEClUqFDhw7IysqCJEm1tgUEBMh+7vbtW9e4LiiojXP+YS6i5PrcUZuoKoKPjwitWoDPjRUk9UaVbbvyZWsbAPhovWrc1rItQQAQGOi511XJ7ymg7PpYW8O4oja3BIbJZMKVK1dwxx13YM6cOTh58iSeffZZrFy50uXPnZdXArP55iR2Sl4lC1B2fe6oTRCAcp0R5eUmmI0CIFl2gitv22vTqrUo1xtr3Na6LUlAbm4xPLEEtZLfU0DZ9bG2hmlMbaIo2P2hDbgpMEJCQuDl5WXrXurXrx/8/f3h7e2Na9euwWQyQaVSwWQyITs7GyEhIZAkqdY2IiJyP7eMYQQEBGDgwIH45ptvAFiOfsrLy0O3bt0QGhqKXbt2AQB27dqF0NBQBAQEoH379rW2ERGR+7ltAaXFixdj3rx5SExMhJeXF5KSktC2bVssWrQIc+fOxZo1a9C2bVskJiba7lNXGxERuZfbAuPWW2/Fpk2balzfo0cPfPrpp3bvU1cbERG5F8/0phaDh9USNQ4Dg1oEb42ATQcNDA2iRmBgUIvBNcKJGoeBQUREsjAwiIhIFgYGERHJwsAgReGgNJFyMTBIMawz1YKhQaRIDAxSFH0Fj2QiUirZgfHFF1/YvX7v3r1OK4aIiJRLdmDMnz/f7vVcBY+IqGWody6pK1euAAAkSbJdrtym0WhcUxkRESlKvYExdOhQCIIASZIwdOjQKm2BgYGYOXOmy4ojIiLlqDcwfvnlFwDA+PHjsXnzZpcXREREyiR7DINhQUTUssleD+PKlStYsWIFzpw5g7KysiptX375pbPrInIJQYBH1vUmag5kB8ZLL72EW2+9FXPmzIGPj48rayJyCe2NKc7HD9YwNIgaQHZgnDt3Dh999BFEkef6UdPFKc6JGk72t/99992H06dPu7IWIiJSMNl7GLfccgumTp2KoUOHIjAwsEpbXFyc0wsjIiJlkR0Y5eXleOyxx2A0GnH16lVX1kRERAokOzCWLl3qyjqIiEjhHDqstja33nqrU4ohIiLlkh0YlacIsRJurHZz5swZ51dGRESKIjswrFOEWOXk5GDVqlUICwtzelFERKQ8DT6pIigoCPPnz8fy5cudWQ8RESlUo87Cu3DhAsrLy51VCxERKZjsLqlx48bZxiwAy2G258+fx/Tp011SGBERKYvswBg9enSVbR8fH9x+++3o1q2bs2siIiIFkh0Yo0aNcmUdRESkcLLHMCoqKvDWW28hPDwcd911F8LDw/HWW2/BYDC4sj4iIlII2XsYycnJ+Omnn7B48WJ06tQJmZmZWLNmDUpKSjBv3jxX1kgtgCBY/iMi5ZIdGHv37sWOHTvg7+8PAOjevTvuuOMOjBw5koFBjSIIQMoeHbw1AgTR9alhDSauiUHkGNldUlItn67aridyhM4guWWtCq1GQMoeHVL26LhHQ+Qg2XsYkZGReO655zB9+nR06tQJv/32G9555x1ERka6sj4ip9MZJO5dEDWA7MCYPXs23nnnHSxZsgTZ2dkIDg7GiBEj8Nxzz7myPiIiUoh6u6SOHz+O5ORkaDQaxMXFYf/+/Th58iT27dsHg8HAVfiIiFqIegNj3bp1uO++++y2DRw4EGvXrnXoCVetWoU+ffrg119/BQCcOHECMTExiIiIwOTJk5GXl2e7bV1tRETkXvUGxpkzZ/Dwww/bbXvooYeQlpYm+8l+/vlnnDhxArfccgsAwGw2Y/bs2Vi4cCFSU1MRFhaGZcuW1dtG5Awc9CZyTL2BUVJSgoqKCrttRqMRpaWlsp7IYDBgyZIlWLRoke26tLQ0aLVa2xTpY8eOxd69e+ttI2osb42ATQcNDA0iB9QbGN27d8fXX39tt+3rr79G9+7dZT3RypUrERMTg86dO9uuy8rKQqdOnWzbAQEBMJvNKCwsrLONyBnccRgvUXNS71FSEydORHx8PMxmM4YMGQJRFGE2m3HgwAEsWbIEc+fOrfdJfvzxR6SlpeGll15yStGOaN++dY3rgoLauL0ORyi5PlfV5utrglYtwEdj2dYbVbVu22sDAB+tV733rbwtCkBgoHteayW/p4Cy62NtDeOK2uoNjOjoaOTm5mLOnDmoqKiAn58fCgsLoVar8cILLyAqKqreJzl69CjS09MRHh4OALh69SqmTJmCCRMmIDMz03a7/Px8iKIIPz8/hISE1NrmiLy8EpjNN39JBgW1QU5OsUOP4U5Krs8VtYki8PFXFSgvN8JsFADJstNbXm6qddtem1atRbneWO99K2+LooDc3GKXn5Oh5PcUUHZ9rK1hGlObKAp2f2gDMs/DmDRpEkaPHo0ff/wRhYWF8PPzwz333IPWre0/aHWxsbGIjY21bQ8ePBhr165Fz5498cknn+DYsWMICwvDtm3bbCcC9u3bFzqdzm4bNQ+CYAkLvZFdQ0RNgewT91q3bl3r0VINJYoikpKSEB8fD71ej1tuuQXJycn1tlHzoa+QAA48EzUJsgPDmQ4dOmS7fO+992Lnzp12b1dXGxERuVej1vQmIqKWg4FBRESyMDCIiEgWBgYREcnCwCAiIlkYGEREJAsDg4iIZGFgEBGRLAwMIiKShYFBRESyMDDIIwRBGSveKaUOoqbAI3NJUcsmCEDKHh28NQIE0XPf1lqNgJQ9OkgS8MwIb5jNHiuFqEngHgZ5hM4gKWLFO2sNXK6VqH4MDCJwuVYiORgYREQkCwODiIhkYWAQEZEsDAwiIpKFgUFERLIwMIiISBYGBhERycLAILqBJ+4R1Y2BQQTLNCE825uobgwMoht4tjdR3RgYREQkCwODiIhkYWCQ23GcgKhpYmCQWwkC8PFXFQwNoiaIgUFup6/g4DJRU8TAICIiWRgYREQkCwODiIhkYWAQVSIIPIqLqDYMDKIbtBoBKXt0SNmjg8hPBlEN/FgQVWKdHoTzShHVxMAgsoPzShHVxMAgt+KvdqKmyy2BUVBQgGnTpiEiIgLR0dGYMWMG8vPzAQAnTpxATEwMIiIiMHnyZOTl5dnuV1cbNT3Ws7zB0CBqktwSGIIgYOrUqUhNTcXOnTtx6623YtmyZTCbzZg9ezYWLlyI1NRUhIWFYdmyZQBQZxs1XTzLm6jpcktg+Pn5YeDAgbbt/v37IzMzE2lpadBqtQgLCwMAjB07Fnv37gWAOtuIiMj93D6GYTab8dFHH2Hw4MHIyspCp06dbG0BAQEwm80oLCyss42IiNzPy91PmJCQAF9fX4wfPx779+93+fO1b9+6xnVBQW1c/ryNoeT6Glubj3cRAEBvVEGrFuCjgcPb9toAwEfr5ZTH0qoFiAIQGOi890HJ7ymg7PpYW8O4oja3BkZiYiIuXbqEtWvXQhRFhISEIDMz09aen58PURTh5+dXZ5sj8vJKYDbf7DcPCmqDnJzixv9jXETJ9TW2NkEAynVGQADKy00wGwVAsuzkOrJtr02r1qJcb3TKY5mNAkRRQG5uMSQnDLko+T0FlF0fa2uYxtQmioLdH9qAG7ukli9fjrS0NKxevRoajeXnXN++faHT6XDs2DEAwLZt2xAZGVlvG5E78BBgoqrcsodx7tw5rFu3Dt26dcPYsWMBAJ07d8bq1auRlJSE+Ph46PV63HLLLUhOTgYAiKJYaxs1PU1tjiatRsCmgwaMH6xxyl4GUXPglsDo1asXzp49a7ft3nvvxc6dOx1uo6ZDEICUPTp4awQIYtNJDZ7tTVQVz/Qmt9AZJH4BEzVxDAxyuabUFUVEtWNgkEtZpwNpqqHR1MZeiFyJgUEu11SnA6m8PgZDg8gDJ+4RNSU6g8SjpIhu4B4GERHJwsAgIiJZGBhERCQLA4OIiGRhYBARkSwMDCIZeD4GEQODqF7eGgGf/LsCmw8ZGBrUovE8DHKZ5vSrXFchQc+5sKiFY2CQSzTVGWqJqHbskiKXaY4z1DanvSYiRzEwiGTi3FLU0rFLilyiuX6hcm4pasm4h0FO19SnNCci+xgY5BJNdUpzuRiG1BIxMIgc5K0RsOkgz8mgloeBQdQAOoPEI6aoxWFgEDUAj5iilohHSRE1kPWIKUEAj5yiFoF7GOR0LekXN8czqCVhYJBTWQ+phRu+QAUAFwp17niqOjW3s9mJasPAIKdz1SG1lX/FCwKQcV0PADiVq8OJq8UeDfp78G8AAA5KSURBVA7rADgHwqk54xgGOY2rviwvXtfjf3lGtNIK8G+tsl1u52v5vWM0myFJItILdeju5+38AuqhvTH9eWGJCVq1AFEUMH6whuMa1OwwMMgpnDE7rSBYupisX/rW8DGbJRjNZhjNYpXL1RnNVR/LnXQVkm0QXOR+OzVT/NMmp3HG7LRGs2VsIi1Xh1O5jo9PVL/vhUJdo+ppDHZPUXPDPQxSJKPJDK0k2sYpHL2vl8nyTW00A4Kq5he3q7/IBQFYt9uyx+XrK+HJhwRbFxUPw6WminsY1GiN/SVd+UgnL/HGYHal7ii5Kt9XJQrIuK6Hl2gZFLfucVy8rrftgbiadY+r8kp9goAGHYbLvRVSAu5hUKMIAvDJvysa9IUmCDePvj2Vq7MNZDsSEtVVvq/1stF8c4/DOgZi3XaV2vZoBMHxw3Ct40MAEPu4N/dOyGMYGNRo+gpJ1nkXlb9E024EhH9rFQDUOpDtDtUH2xtLqxGqTO+uVaPKUVSVwwOQ1z2lhHM92JVG7JIit6jcDSTAMs5gNEuN2ptwhLWLqjLrAPmZPJ1tsN1ZdNXORbEeRWX94rfuNVSfi0ruWIu7u6ga2pVGzQsDg9zCaDLDZDJDQNUxCneyF07W4PISgXQ3HlFl7ZqqPOutKFq+lK2H5Vq/pKsfpmsvbJwRIPXdv/peDsOj5WFgUIPJ/ZKqfhN37VXUxbbHUam4yudxuFLlLivvGyf9vfuFDhv2W+qxhoT1ta3cvWV9zauHjTVAKodL9fvU9X5V34Oo7321hhtDo2XhGAY5xNqPLYo3Dxut60Q92xQegv1uIU+yF1wCLDVfvK6H2SwhQKV2yXNX7rKqfNKfj7cACZYA0Kotr631ttZwwY0atWrLxIcTwjXQGSTbRIjjB2sAWL7Q/zxUg7W7LO+Tj1aEvkKynYVeeUzCGkLWUNl4wICnh2iqtFv/b50vTF8h1ToOU328o75tRzky/kPOw8CgOlX+oljxjyKUlRnwbJQ3tn1ZYZszyse7ZmBcKNSh/Y0vW3tHLimR9RBc69FaRjMAlWdqqRwgVa6vPjZikKr8yq++bf1iBwBBvHmIr3WP4s9DNVjxjyKYjRXw1gpVgqryQL2PVqzRbl0TRJIsR29ZVQ+c+rYB2K63XrY+jj3VjxqrfB9ybVeh4gMjIyMDc+fORWFhIfz8/JCYmIhu3bp5uqxmyd6vQOt0Hz5aETqDePPXpfHmF8+FQh16VJrOw96hsk1F9aO1rHscAixjHO1VakV1w9Q4Iksj2N07qax6oOgMIsxGCT7eQpWgqrznI4iWx6keZJWnQ9n2ZQWKSk2257bW4aMVAQG1bouigKeHWPaEAOCZEZa/pXW7dfD1NWP8o2KN+isfPFBX+FRXva25BY31h8CLY1zz+IoPjPj4eIwbNw4jR47Ejh07sHDhQmzcuNHTZTULlQNCFO13Q9g+mKKEH7OKoRKB+7W+NR4ro9oEgYBnD5V1hsp7HNZ/U+UQtBcenggTe3sd9vZOAHmB4ijvG6GlN1btWqstbOyFj3VPSKu+2e2mr5Ag3thjsnZ/+mgtf0/Wv13r620vfCrfvrDEBEkCno3ytrWJooAJ4Y5NEmmvi65yW+W9pNra7N3WmVx5CLaiAyMvLw+nT5/Ghx9+CACIiopCQkIC8vPzERAQIOsxRDv96/auq3kbx2p1Ji8v13/rCAKw+3sjRtxv+RPY94MJQX4q7PjOCI1agEZtqaFjgApatQBvrYgu5WpovACj2gQAKFOZIKkEdG5v6XpSiQJ8tALaeltePLWXaNuufLl6m6Pb9tpa+4hopRGc8lhyt3OLTagQBXTxUyOzxIAylQnGG9uSBGi9LOMMhSYDOvqpbdtajeWxKm9bL+cajOjcRlPnbevbru+210urbhtMIiSTStZ969pu42Ad1bclSVVj29tbhJeXAL/Wot3bHjhhRpCfqsq/6cAJs53bS7bbV247eNKMkjJzlb/52rYFAVU+L1pNCfIKjba2qIFe+Ow/lrD7w8NqpB43oaTMXOu29ba/H6R2WmgIAhDsb/lxI+d7zp667idIknJ3ytLS0jBnzhzs3r3bdt3jjz+O5ORk3HnnnR6sjIio5Wm6/QVERORWig6MkJAQXLt2DSaTpQvEZDIhOzsbISEhHq6MiKjlUXRgtG/fHqGhodi1axcAYNeuXQgNDZU9fkFERM6j6DEMAEhPT8fcuXNx/fp1tG3bFomJiejevbunyyIianEUHxhERKQMiu6SIiIi5WBgEBGRLAwMIiKShYFBRESytNjA2LRpEyIjIxEdHY2RI0d6uhy7jhw5gtDQUGzevNnTpdgsXrwYkZGRiImJwdixY3Hq1CmP1pORkYExY8YgIiICY8aMwcWLFz1aT2UFBQWYNm0aIiIiEB0djRkzZiA/P9/TZdWwatUq9OnTB7/++qunS7HR6/WIj4/HsGHDEB0djQULFni6JJvDhw/jiSeewMiRIxETE4N9+/Z5rJbExEQMHjy4xvvnss+F1AKlpqZK48aNk4qLiyVJkqScnBwPV1RTcXGx9OSTT0qxsbHSpk2bPF2OzaFDhySDwWC7HB4e7tF6JkyYIG3fvl2SJEnavn27NGHCBI/WU1lBQYH03//+17b9+uuvS3/72988WFFNaWlp0pQpU6THHntMOnv2rKfLsUlISJBee+01yWw2S5KknM+o2WyWwsLCbK/VmTNnpP79+0smk8kj9Rw9elTKzMys8f656nPRIvcwPvjgA8yYMQOtW7cGAAQGBnq4oppef/11TJkyBf7+/p4upYrHHnsMarVlssH+/fvj6tWrMJvdtFRdNdbJKaOiogBYJqc8ffq0Yn7F+/n5YeDAgbbt/v37IzMz04MVVWUwGLBkyRIsWrTI06VUUVpaiu3btyMuLg7CjSldlfQZFUURxcXFAIDi4mJ06NABoodmKw0LC6sx84UrPxeKnq3WVdLT03Hy5EmsXLkSBoMBY8eOxR//+EdPl2Xz1Vdfobi4GJGRkfjyyy89XU6ttmzZgkcffdRjH5asrCwEBwdDpbLMzqlSqdChQwdkZWUpbjYAs9mMjz76CIMHD/Z0KTYrV65ETEwMOnfu7OlSqrhy5Qr8/PywatUqHDlyBK1atUJcXBzCwsI8XRoEQcCKFSvw/PPPw9fXF6WlpUhJSfF0WVW48nPRLANj1KhRtf6S+/bbb2EymZCVlYWtW7eioKAATz31FG677Tbcd999Hq9v7969eOONN2xTurtbfa+d9Y9w9+7d2LlzJ7Zs2eLO8pqshIQE+Pr6Yvz48Z4uBQDw448/Ii0tDS+99JKnS6nBZDLhypUruOOOOzBnzhycPHkSzz77LPbv32/rFfAUo9GIdevWYc2aNRgwYACOHz+OWbNmYffu3WjVqpVHa3OHZhkYn3/+eZ3tnTp1QlRUFERRRPv27fHQQw/hp59+cltg1FXfsWPHkJOTg9GjRwOwDJwePnwYhYWFmDFjhkdrs9q/fz/efPNNrF+/3qNdBZUnp1SpVIqdnDIxMRGXLl3C2rVrPbY3Vt3Ro0eRnp6O8PBwAMDVq1cxZcoULF26FIMGDfJobSEhIfDy8rJ1qfTr1w/+/v7IyMjAXXfd5dHazpw5g+zsbAwYMAAAMGDAAPj4+CA9PR133323R2uzcuXnQhl/vW4WFRWF//znPwCAsrIyHD9+HLfffruHq7IICwvDd999h0OHDuHQoUOIiIjAzJkz3RIWchw+fBhLly7F+++/7/GujKYwOeXy5cuRlpaG1atXQ6PReLocm9jYWHz99de2v7OOHTvi/fff93hYAEBAQAAGDhyIb775BoDliJ+8vDx07drVw5UBHTt2xNWrV3HhwgUAlu7tvLw8dOnSxcOV3eTKz0WLnEtKp9NhwYIFOH36NABg5MiRiI2N9XBV9s2dOxd9+/ZVTFfGAw88ALVaXeWPb/369R4bnFfy5JTnzp1DVFQUunXrBm9vyzrVnTt3xurVqz1cWU2DBw/G2rVr0bt3b0+XAsAyjjFv3jwUFhbCy8sLs2bNwiOPPOLpsgAA//rXv/Duu+/aBuRfeOEFDBkyxCO1vPrqq9i3bx9yc3Ph7+8PPz8/7N6922WfixYZGERE5LgW2SVFRESOY2AQEZEsDAwiIpKFgUFERLIwMIiISBYGBhERycLAIPKQ7777DpGRkejXrx8mTJiA3377zdMlEdWJgUHkAfn5+ZgxYwbi4uLw/fffo2/fvnjxxRc9XRZRnZrlXFJESvHzzz9j/vz5uHTpEh5++GGIooiuXbuiU6dO6NWrF4YPHw4AmDlzJh544AGkp6ejR48eHq6ayD7uYRC5iMFgwIwZMzBq1Ch8//33iIqKwoEDBwBYpg3p06eP7ba+vr7o0qULzp8/76lyierFwCBykZMnT8JoNOLpp5+GWq3GsGHDbLOtlpWVoU2bNlVu37p1a5SWlnqiVCJZGBhELpKdnY3g4GDbJHUAbFNM+/r6oqSkpMrtS0tLW8SaCtR0MTCIXCQoKAjXrl1D5fk9s7KyAAC9evXCL7/8Yru+rKwMly9fRs+ePd1eJ5FcDAwiF+nfvz9UKhU2b94Mo9GIAwcO4NSpUwCAoUOH4ty5c0hNTYVer8fq1avRp08fDniTonF6cyIXOnXqFF555RVcvnwZDz/8MMxmM0JDQzF9+nR8++23WLJkCTIzM9GvXz8sXbrU44tSEdWFgUHkRqNHj8bYsWPxhz/8wdOlEDmMXVJELvT9998jJycHRqMRn3/+Oc6ePYuHH37Y02URNQhP3CNyoYyMDMyaNQvl5eXo3Lkz3nrrLXTo0MHTZRE1CLukiIhIFnZJERGRLAwMIiKShYFBRESyMDCIiEgWBgYREcnCwCAiIln+Hy20oYEx0pzxAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "id": "tDS1wo6pxVek",
        "outputId": "846e71f0-a0be-46f4-df14-f434e0a547b4"
      },
      "source": [
        "sns.histplot(data=dados, x='g0', hue='tratamento', element='step')"
      ],
      "execution_count": 176,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa099093910>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 176
        },
        {
          "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": "gWtmB6k2xhLu",
        "outputId": "068fdbba-8446-4d26-9159-6f05afaad6d7"
      },
      "source": [
        "sns.histplot(data=dados, x='g0', hue='tratamento', element='poly')"
      ],
      "execution_count": 178,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa098fabed0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 178
        },
        {
          "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": "UxMzk9czxr_v",
        "outputId": "de99602a-d9a9-4f05-fa91-37f45eefb457"
      },
      "source": [
        "sns.histplot(data=dados, x='g0', stat='probability', discrete=True)"
      ],
      "execution_count": 179,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa098f1c310>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 179
        },
        {
          "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": "sTSZkGzBx76s",
        "outputId": "a1fcc69a-fc5b-4eb7-b3cf-d7e3634d61e9"
      },
      "source": [
        "sns.histplot(data=dados, x='g0', fill=False, bins=30)"
      ],
      "execution_count": 182,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa098cfb250>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 182
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZMAAAEMCAYAAAABLFv3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAfdklEQVR4nO3df3CT9QE/8HeelKLQYpqQlpQiDOYwioNJOfx66xwgttsC6DnW2ok3xXEqYNkORifaYpHDUuaEb2G4jempDG6eZ7Flo+BVN1En4Alai4q1SFlDG5L2S1t+1OZ5vn90zahN26fPJ3meJ/T9uuOO5vNpn3eaJu88P2NRFEUBERGRAMnoAEREFPtYJkREJIxlQkREwlgmREQkjGVCRETCWCZERCQsTo+FnD59GkuXLg193draira2Nhw6dAh1dXXIz89HS0sLbDYbiouLMWHCBADQPEZERPqyGHGeyfr16xEMBlFQUID77rsPd999NxYsWIA9e/bg1VdfxYsvvggAmsfUam5uhyz/7+47HAnw+9sid0cjzMz5mE0bM2cDzJ2P2bQRySZJFiQljQw7psuayeU6OjpQXl6OHTt2wO/3o6amBs8//zwAwOPxYN26dQgEAlAURdOY3W5XnUWWlR5l0n2bmZk5H7NpY+ZsgLnzMZs20cime5lUVVUhJSUFN954I6qrq5GSkgKr1QoAsFqtSE5OhtfrhaIomsYGUyZERBQZupfJq6++irvvvlvvxYblcCT0us3pTDQgiXpmzsds2pg5G2DufMymTTSy6VomjY2NOHz4MDZu3AgAcLlcaGxsRDAYhNVqRTAYRFNTE1wuFxRF0TQ2GH5/W4/VPaczET5fa0TvcySZOR+zaWPmbIC58zGbNiLZJMkS9k04oPOhwa+99hpuu+02JCUlAQAcDgfcbjcqKioAABUVFXC73bDb7ZrHiIhIf7oezZWZmYk1a9bgBz/4Qei22tpa5Ofn49y5cxg1ahSKi4sxceJEoTG1uGYSOcymjZmzAebOx2zaRGvNxJBDg82CZRI5zKaNmbMB5s7HbNpEq0x03wFPFA39HeoY7hBwSbJEOxLRkMIyoZgnywrSl7Xg9Fm5jxmBHl+ljZZwpNTGQiGKIJYJXRFOn5XRsMuOcP1w+Wq9rACp9wR6TyIiISwTumJIlvCbryTJ8r/bTXxWMlEs41WDiYhIGMuEiIiEsUyIiEgYy4SIiISxTIiISBjLhIiIhLFMiIhIGMuEiIiEsUyIiEgYy4SIiISxTIiISBjLhIiIhLFMiIhIGMuEiIiEsUyIiEgYy4SIiISxTIiISBjLhIiIhOlWJpcuXUJhYSHuuOMOzJs3D0888QQAoK6uDtnZ2cjMzER2djZOnjwZ+h6tY0REpC/dyqSkpATDhw9HZWUlysvLkZeXBwAoLCxEbm4uKisrkZubi4KCgtD3aB0jIiJ96VIm7e3tKCsrQ15eHiwWCwBg9OjR8Pv9qKmpgcfjAQB4PB7U1NQgEAhoHiMiIv3F6bGQ+vp62Gw2lJaW4v3338fIkSORl5eHq666CikpKbBarQAAq9WK5ORkeL1eKIqiacxut6vO5XAk9LrN6UyMwD2OHjPnMyqbLCsAAnA6EyFJlrBzurOpmas3Mz+mgLnzMZs20cimS5kEg0HU19fjhhtuwOrVq3Hs2DE89NBD2Lx5sx6L75Pf3/bfF5cuTmcifL5WAxP1z8z5jMzW/Rj6fK1hC+LybAPN1ZuZH1PA3PmYTRuRbJJkCfsmHNCpTFwuF+Li4kKbpaZOnYqkpCRcddVVaGxsRDAYhNVqRTAYRFNTE1wuFxRF0TRGRET602Wfid1ux8yZM/HOO+8A6DoSy+/3Y8KECXC73aioqAAAVFRUwO12w263w+FwaBojIiL9WRRFUQaeJq6+vh6PPfYYWlpaEBcXhxUrVuC2225DbW0t8vPzce7cOYwaNQrFxcWYOHEiAGgeU4ubuSLH6M1cY3ICOLPbrmozV39z9WbmxxQwdz5m0yamN3MBwLhx4/DSSy/1un3SpEl45ZVXwn6P1jEiItIXz4AnIiJhLBMiIhLGMiEiImEsEyIiEsYyISIiYSwTIiISxjIhIiJhLBMiIhLGMiEiImEsEyIiEsYyISIiYSwTIiISxjIhIiJhLBMiIhLGMiEiImEsEyIiEsYyISIiYSwTIiISxjIhIiJhLBMiIhLGMiEiImFxei1o9uzZiI+Px/DhwwEAK1euREZGBo4ePYqCggJcunQJY8eORUlJCRwOBwBoHiMiIn3pumayZcsW7NmzB3v27EFGRgZkWcaqVatQUFCAyspKpKenY9OmTQCgeYyIiPRn6Gau6upqDB8+HOnp6QCAnJwc7Nu3T2iMiIj0p9tmLqBr05aiKJg+fTp+/etfw+v1IjU1NTRut9shyzJaWlo0j9lsNj3vEkWZLCsRmUNE0aVbmezcuRMulwsdHR1Yv349ioqKMHfuXL0WH5bDkdDrNqcz0YAk6pk5X6SzybKCb+WexqnGoKr5DkcC4uLCr2x3Z+sqngCczkRIkiVSUYWY+TEFzJ2P2bSJRjbdysTlcgEA4uPjkZubi4cffhj33XcfGhoaQnMCgQAkSYLNZoPL5dI0Nhh+f1uPd7VOZyJ8vlatdzHqzJwvGtlkWcGpxiAadtnR3+t+Z1BB2s+b4fO1hi2Ty7N1P94+X6spysTMjylg7nzMpo1INkmyhH0TDui0z+T8+fNobe0KrygK/v73v8PtdmPKlCm4ePEijhw5AgDYvXs3srKyAEDzGF15JEvXH3Gf/4zvBKIhT5c1E7/fj+XLlyMYDEKWZUyaNAmFhYWQJAkbN25EYWFhj0N8AWgeIyIi/elSJuPGjUNZWVnYsZtvvhnl5eURHSMiIn3xDHgiIhLGMiEiImG6nmdCZBZqz00xwxFfRLGAZUJDSneJpOY2Dzg3bbSEI6U2FgqRCiwTGpJO70xCnLXvkpAVIPWegI6JiGIby4SGpO5zV/rES7QQDQp3wBMRkTCWCRERCWOZEBGRMJYJEREJY5kQEZEwlgkREQljmRARkTCWCRERCWOZEBGRMJYJEREJY5kQEZEwlgkREQljmRARkTCWCRERCWOZEBGRMJYJEREJ071MSktLMXnyZHz++ecAgKNHj2L+/PnIzMzEAw88AL/fH5qrdYyIiPSlukz+8Y9/hL193759qhf2ySef4OjRoxg7diwAQJZlrFq1CgUFBaisrER6ejo2bdokNEZERPpTXSZr1qwJe3tBQYGq7+/o6EBRURHWrl0buq26uhrDhw9Heno6ACAnJydUTlrHiIhIfwN+Bnx9fT0AQFGU0P8vH4uPj1e1oM2bN2P+/PlIS0sL3eb1epGamhr62m63Q5ZltLS0aB6z2Wyq8gCAw5HQ6zanM1H19xvBzPkinU2WFQABOJ2J/X5ee2enDKAZTmci4uLCvz/qzqZm7mCWHQlmfkwBc+djNm2ikW3AMpk7dy4sFgsURcHcuXN7jI0ePRrLly8fcCEffvghqqursXLlSu1Jo8Dvb/vvi0YXpzMRPl+rgYn6Z+Z80cjW/dj4fK0qyqRrXriCuDzbQHMHu2xRZn5MAXPnYzZtRLJJkiXsm3BARZl8+umnAIB7770XL7/8sqYAhw8fRm1tLebMmQMAOHPmDBYvXoxFixahoaEhNC8QCECSJNhsNrhcLk1jRESkP9X7TLQWCQAsWbIEBw8eRFVVFaqqqjBmzBjs2LEDDz74IC5evIgjR44AAHbv3o2srCwAwJQpUzSNERGR/gZcM+lWX1+PZ599FsePH8f58+d7jL311luaFi5JEjZu3IjCwkJcunQJY8eORUlJidAYERHpT3WZrFy5EuPGjcPq1atx9dVXCy20qqoq9P+bb74Z5eXlYedpHSMiIn2pLpMTJ05g165dkCSeNE9ERD2pboYZM2agpqYmmlmIiChGqV4zGTt2LB588EHMnTsXo0eP7jGWl5cX8WBERBQ7VJfJhQsXMGvWLHR2duLMmTPRzERERDFGdZls2LAhmjmIiCiGDerQ4L6MGzcuImGIiCg2qS6Tyy+r0s1i6brMxPHjxyOfjIiIYobqMum+rEo3n8+H0tLS0JV7iYho6NJ80ojT6cSaNWvwzDPPRDIPERHFIKEzEL/88ktcuHAhUlmIiChGqd7MlZubG9pHAnQdKvzFF19g6dKlUQlGRESxQ3WZLFy4sMfXV199Na6//npMmDAh0pmIiCjGqC6Tu+66K5o5iIgohqneZ/L1119jy5YtmDNnDm666SbMmTMHW7ZsQUdHRzTzERFRDFC9ZlJSUoKPPvoITz75JFJTU9HQ0IBt27ahra0Njz32WDQzEhGRyakuk3379mHPnj1ISkoCAEycOBE33HADFixYwDIhIhriVG/muvzMdzW3ExHR0KG6TLKysvDwww/j7bffRm1tLf71r39h6dKl/Ox1IiJSv5lr1apV+MMf/oCioiI0NTUhJSUFP/nJT/Dwww9HMx8REcWAAddMPvjgA5SUlCA+Ph55eXk4cOAAjh07hv3796Ojo4OfvkhERAOXyXPPPYcZM2aEHZs5cya2b98e8VBERBRbBiyT48ePIyMjI+zYrbfeiurqalULeuSRRzB//nzceeedyM3NDV22vq6uDtnZ2cjMzER2djZOnjwZ+h6tY0REpK8By6StrQ1ff/112LHOzk60t7erWlBxcTFef/11lJWV4YEHHggdTlxYWIjc3FxUVlYiNzcXBQUFoe/ROkZERPoasEwmTpyIgwcPhh07ePAgJk6cqGpBiYmJof+3tbXBYrHA7/ejpqYGHo8HAODxeFBTU4NAIKB5jIiI9Dfg0Vy/+MUvUFhYCFmWcfvtt0OSJMiyjDfeeANFRUXIz89XvbA1a9bgnXfegaIo+POf/wyv14uUlBRYrVYAgNVqRXJyMrxeLxRF0TRmt9u1/B6IiEjAgGUyb948nD17FqtXr8bXX38Nm82GlpYWDBs2DI8++mho7UCN9evXAwDKysqwceNG5OXlaU8eAQ5HQq/bnM7EMDPNw8z5Ip1NlhUAATidiZAkS5/zOjtlAM1wOhMRFxd+Zbs7m5q5g1l2JJj5MQXMnY/ZtIlGNlXnmdx///1YuHAhPvzwQ7S0tMBms+F73/seEhJ6vxirceedd6KgoABjxoxBY2MjgsEgrFYrgsEgmpqa4HK5oCiKprHB8Pvb/vui0cXpTITP16rpPunBzPmika37sfH5WlWUSde8cAVxebaB5g522aLM/JgC5s7HbNqIZJMkS9g34cAgzoBPSEhARkYG5s2bh4yMjEEVSXt7O7xeb+jrqqoqXHPNNXA4HHC73aioqAAAVFRUwO12w263ax4jIiL9qT4DXsSFCxeQl5eHCxcuQJIkXHPNNdi+fTssFgvWrl2L/Px8bNu2DaNGjUJxcXHo+7SOERGRvnQpk9GjR+Nvf/tb2LFJkybhlVdeiegYERHpS/VmLiIior6wTIiISBjLhIiIhLFMiIhIGMuEiIiEsUyIiEgYy4SIiISxTIiISBjLhIiIhLFMiIhIGMuEiIiEsUyIiEgYy4SIiISxTIiISBjLhIiIhLFMiIhIGMuEiIiEsUyIiEgYy4SIiISxTIiISFic0QGIzEyWFVXzJMkS5SRE5sYyIQqju0RSc5sHnJs2WsKRUhsLhYY0XcqkubkZv/nNb3Dq1CnEx8dj/PjxKCoqgt1ux9GjR1FQUIBLly5h7NixKCkpgcPhAADNY0SRcnpnEuKsfZeErACp9wR0TERkTrrsM7FYLHjwwQdRWVmJ8vJyjBs3Dps2bYIsy1i1ahUKCgpQWVmJ9PR0bNq0CQA0jxFFkmTp2oTV5z+ujBAB0KlMbDYbZs6cGfp62rRpaGhoQHV1NYYPH4709HQAQE5ODvbt2wcAmseIiEh/uu8zkWUZu3btwuzZs+H1epGamhoas9vtkGUZLS0tmsdsNpvqLA5HQq/bnM5EjfdMH2bON5hsanZsd80JwOlM7Hd/RGenDKAZTmci4uLCvz/qzqZm7mDmqc3YHzM/poC58zGbNtHIpnuZrFu3DiNGjMC9996LAwcO6L34Hvz+th4vak5nIny+VgMT9c/M+QaTTZYVpC9rwemzsqr5jY3nVLzwAz5fa9h5l2cbaK7an9mt++/H52vVVCZmfkwBc+djNm1EskmSJeybcEDnMikuLsZXX32F7du3Q5IkuFwuNDQ0hMYDgQAkSYLNZtM8RrHh9FkZDbvs/e5z6AwqSPv5wEdTEZHxdDtp8ZlnnkF1dTW2bt2K+Ph4AMCUKVNw8eJFHDlyBACwe/duZGVlCY1R7ODObaIrhy5rJidOnMBzzz2HCRMmICcnBwCQlpaGrVu3YuPGjSgsLOxxiC8ASJKkaYyIiPSnS5lcd911+Oyzz8KO3XzzzSgvL4/oGBER6YvX5iIiImEsEyIiEsYyISIiYSwTIiISxjIhIiJhLBMiIhLGMiEiImEsEyIiEsYyISIiYSwTIiISxjIhIiJhLBMiIhLGMiEiImEsEyIiEsYyISIiYSwTIiISxjIhIiJhLBMiIhLGMiEiImEsEyIiEsYyISIiYbqUSXFxMWbPno3Jkyfj888/D91eV1eH7OxsZGZmIjs7GydPnhQeIyIi/elSJnPmzMHOnTsxduzYHrcXFhYiNzcXlZWVyM3NRUFBgfAYERHpT5cySU9Ph8vl6nGb3+9HTU0NPB4PAMDj8aCmpgaBQEDzGBERGSPOqAV7vV6kpKTAarUCAKxWK5KTk+H1eqEoiqYxu91u1N0hIhrSDCsTM3A4Enrd5nQmGpBEPTPnU5tNlhUAATidiZAkS5/zOjtlAM1wOhMRF9f3SrSaed3ZIvkzB3Nf+mPmxxQwdz5m0yYa2QwrE5fLhcbGRgSDQVitVgSDQTQ1NcHlckFRFE1jg+X3t/33xaCL05kIn681knczosycbzDZun/nPl+rijLpmjfwC3/f8y7PFqmfOdj70hczP6aAufMxmzYi2STJEvZNOGDgocEOhwNutxsVFRUAgIqKCrjdbtjtds1jRERkDF3WTJ566ins378fZ8+exf333w+bzYa9e/di7dq1yM/Px7Zt2zBq1CgUFxeHvkfrGBER6U+XMnn88cfx+OOP97p90qRJeOWVV8J+j9YxIiLS35DeAU8UKZfve+uP1p30RGbHMiES0F0iqbnNA85NGy3hSKmNhUJXJJYJUQSc3pmEOGvfJSErQOo9PLGWrlwsE6IIkCwDbMJSuRmMKFbxqsFERCSMZUJERMJYJkREJIxlQkREwlgmREQkjGVCRETCWCZERCSM55lQRKm5rIjaS48QUexgmVDEyLKC9GUtOH1WVj2flxYhujKwTCiiTp+V0bDLjv46ojOoIO3nA1/L6kr0zbUyWVbCrqmxZCnWsEwo4ga6tIg0BDdz9X1ByN7X6+IFISkWsUyIdPTNC0J+8yNUeUFIilUsEyIdfXOtTZIsPddAhuBaG10ZeGgwEREJ45oJkQmpPcRa7X4V7n+haGOZEJnIYD650SoBQRVHYY91WHD4/6rfoa9m3mDOFWKRDQ0sEyITGuiTG7sPr1Y7T005Ab2LJ9yhy7KsYMaj/w//UXE+EY9MGzpYJqTKQO9E+zpfgrRRe3i12nkDlQ7QV/H0fWSZ2o8q5ia7oSGmy6Surg75+floaWmBzWZDcXExJkyYYHSsK466M9sDPebzCW8uA36sMMIXzzcPXQb+VzoD/Uy5s+vvJVqb7Pp7A8Ny0l9Ml0lhYSFyc3OxYMEC7NmzBwUFBXjxxReNjnVFGujMdqczEd4z54bsme1XkstLotehyxj8SafR22TX91pTNPYnqS2o7pJTszZ/JRVezJaJ3+9HTU0Nnn/+eQCAx+PBunXrEAgEYLfbVf2McA+QmgdNURQoqp5PCgA1fwTq5smyumteRXrZFgswPiUOVqul35lWqwXjU+JgGeB3aJH0nXf5k1rvZQ8075svOEbl62tuuBfEwS7bau1dSJezAoOa9+6zoxBntcBuT0Ag0NZrXmdQwa0rzoXm9aV73v/5VWufc3osX2VBdc0b+Geq/XljkoDXnxwFi2Wgx1Ddc15RtG856O/7LIqi7mXRbKqrq7F69Wrs3bs3dNuPf/xjlJSU4MYbbzQwGRHR0MOTFomISFjMlonL5UJjYyOCwSAAIBgMoqmpCS6Xy+BkRERDT8yWicPhgNvtRkVFBQCgoqICbrdb9f4SIiKKnJjdZwIAtbW1yM/Px7lz5zBq1CgUFxdj4sSJRsciIhpyYrpMiIjIHGJ2MxcREZkHy4SIiISxTIiISBjLhIiIhLFMwnjppZeQlZWFefPmYcGCBUbHCev999+H2+3Gyy+/bHSUkCeffBJZWVmYP38+cnJy8PHHHxuap66uDtnZ2cjMzER2djZOnjxpaJ7LNTc345e//CUyMzMxb948LFu2DIGA+T77vbS0FJMnT8bnn39udJSQS5cuobCwEHfccQfmzZuHJ554wuhIIW+++SbuvPNOLFiwAPPnz8f+/fsNy1JcXIzZs2f3evyi9rxQqIfKykolNzdXaW1tVRRFUXw+n8GJemttbVV++tOfKkuWLFFeeuklo+OEVFVVKR0dHaH/z5kzx9A8ixYtUsrKyhRFUZSysjJl0aJFhua5XHNzs/Lvf/879PXTTz+t/Pa3vzUwUW/V1dXK4sWLlVmzZimfffaZ0XFC1q1bp6xfv16RZVlRFPM8R2VZVtLT00O/q+PHjyvTpk1TgsGgIXkOHz6sNDQ09Hr8ovW84JrJN/zlL3/BsmXLkJCQAAAYPXq0wYl6e/rpp7F48WIkJSUZHaWHWbNmYdiwYQCAadOm4cyZM4O8OGXkdF8I1OPxAOi6EGhNTY1p3v3bbDbMnDkz9PW0adPQ0NBgYKKeOjo6UFRUhLVr1xodpYf29naUlZUhLy8vdOFDMz1HJUlCa2vXRR5bW1uRnJwMSTLmZTY9Pb3XFUGi+byI2asGR0ttbS2OHTuGzZs3o6OjAzk5OfjZz35mdKyQf/7zn2htbUVWVhbeeusto+P0aefOnfjhD39o2BPJ6/UiJSUFVqsVAGC1WpGcnAyv12u6qyTIsoxdu3Zh9uzZRkcJ2bx5M+bPn4+0tDSjo/RQX18Pm82G0tJSvP/++xg5ciTy8vKQnp5udDRYLBY8++yzeOSRRzBixAi0t7fjj3/8o9Gxeojm82LIlcldd93V5zvAd999F8FgEF6vF3/961/R3NyMe+65B9/61rcwY8YMw/Pt27cPv/vd70KX3dfbQL+77j/QvXv3ory8HDt37tQzXsxat24dRowYgXvvvdfoKACADz/8ENXV1Vi5cqXRUXoJBoOor6/HDTfcgNWrV+PYsWN46KGHcODAgdDWBKN0dnbiueeew7Zt2zB9+nR88MEHWLFiBfbu3YuRI0camk0PQ65MXnvttX7HU1NT4fF4IEkSHA4Hbr31Vnz00Ue6lUl/+Y4cOQKfz4eFCxcC6NqJ++abb6KlpQXLli0zNFu3AwcO4Pe//z1eeOEFQzc/XH4hUKvVatoLgRYXF+Orr77C9u3bDVuL+6bDhw+jtrYWc+bMAQCcOXMGixcvxoYNG/D973/f0GwulwtxcXGhzTRTp05FUlIS6urqcNNNNxma7fjx42hqasL06dMBANOnT8fVV1+N2tpafPe73zU0W7doPi/M8ddrIh6PB2+//TYA4Pz58/jggw9w/fXXG5yqS3p6Ot577z1UVVWhqqoKmZmZWL58uS5Fosabb76JDRs2YMeOHYZvHomFC4E+88wzqK6uxtatWxEfH290nJAlS5bg4MGDob+zMWPGYMeOHYYXCQDY7XbMnDkT77zzDoCuI5P8fj/Gjx9vcDJgzJgxOHPmDL788ksAXZvM/X4/rr32WoOT/U80nxe8Ntc3XLx4EU888QRqamoAAAsWLMCSJUsMThVefn4+pkyZYprNI7fccguGDRvW4w/zhRdeMOxAATNfCPTEiRPweDyYMGECrrrqKgBAWloatm7danCy3mbPno3t27fjO9/5jtFRAHTtN3nsscfQ0tKCuLg4rFixArfddpvRsQAAr7/+Ov70pz+FDg549NFHcfvttxuS5amnnsL+/ftx9uxZJCUlwWazYe/evVF7XrBMiIhIGDdzERGRMJYJEREJY5kQEZEwlgkREQljmRARkTCWCRERCWOZEJnQe++9h6ysLEydOhWLFi3Cf/7zH6MjEfWLZUJkMoFAAMuWLUNeXh4OHTqEKVOm4Fe/+pXRsYj6NeSuzUVkFp988gnWrFmDr776ChkZGZAkCePHj0dqaiquu+46/OhHPwIALF++HLfccgtqa2sxadIkg1MThcc1EyIDdHR0YNmyZbjrrrtw6NAheDwevPHGGwC6LrUyefLk0NwRI0bg2muvxRdffGFUXKIBsUyIDHDs2DF0dnbivvvuw7Bhw3DHHXeErnp7/vx5JCYm9pifkJCA9vZ2I6ISqcIyITJAU1MTUlJSQhcEBBC6DPiIESPQ1tbWY357e/uQ+EwMil0sEyIDOJ1ONDY24vLrrHq9XgDAddddh08//TR0+/nz53Hq1Cl8+9vf1j0nkVosEyIDTJs2DVarFS+//DI6Ozvxxhtv4OOPPwYAzJ07FydOnEBlZSUuXbqErVu3YvLkydz5TqbGS9ATGeTjjz/G448/jlOnTiEjIwOyLMPtdmPp0qV49913UVRUhIaGBkydOhUbNmww/APHiPrDMiEyiYULFyInJwd333230VGIBo2buYgMcujQIfh8PnR2duK1117DZ599hoyMDKNjEWnCkxaJDFJXV4cVK1bgwoULSEtLw5YtW5CcnGx0LCJNuJmLiIiEcTMXEREJY5kQEZEwlgkREQljmRARkTCWCRERCWOZEBGRsP8P9TGJt7YiCpwAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "id": "sKmoegm8yrg6",
        "outputId": "33e8a67f-1375-4099-fb26-81e89d963bec"
      },
      "source": [
        "sns.histplot(data=dados, x='g0', y='tratamento', bins=50)"
      ],
      "execution_count": 188,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fa09868eed0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 188
        },
        {
          "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": {
        "id": "TAJmbQZpyaOi"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AvEbWppIrpg1"
      },
      "source": [
        "##Desafio 4 e 5\n",
        "\n",
        "Fica a dica de um material muito bom sobre o assunto proposto nestes desafios https://medium.com/@gisely.alves/visualiza%C3%A7%C3%A3o-de-dados-com-seaborn-2fd0defd9adb "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xk4ufayfvkKq"
      },
      "source": [
        "## Desafio 6"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        },
        "id": "dYTkz5GzvWLR",
        "outputId": "0a63afe0-5b2a-49fe-ea35-338ff336b891"
      },
      "source": [
        "sns.boxplot(y='g0', x='tratamento', data=dados)\n",
        "plt.figure(figsize=(10,8))"
      ],
      "execution_count": 167,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 167
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 319
        },
        "id": "JoqSI0Y_ujaj",
        "outputId": "94440d85-d754-4825-877e-b7be2c9d377b"
      },
      "source": [
        "sns.boxplot(y='g0', x='tempo', data=dados)\n",
        "plt.figure(figsize=(10,8))"
      ],
      "execution_count": 165,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 0 Axes>"
            ]
          },
          "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": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 319
        },
        "id": "jW9YifvfvPx7",
        "outputId": "b74dcc1b-fc0b-43cb-daa0-4a9c1559986f"
      },
      "source": [
        "sns.boxplot(y='g0', x='dose', data=dados)\n",
        "plt.figure(figsize=(10,8))"
      ],
      "execution_count": 166,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 0 Axes>"
            ]
          },
          "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": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S53xcYFpkp3P"
      },
      "source": [
        "## Desafio 7 - Resumo\n",
        "Na aula de hoje tive grande interesse, pois tive o primeiro contato com a criação e edição de gráficos, de uma forma mais interessante, digamos assim (para quem nunca havia trabalhado com Python). \n",
        "Além disto, tive o contato com ferramentas que são bem poderosas, com a obtenção de dados estatísticos utilizando o comando describe, ou a seleção de dados de forma mais \"pro\" utilizando o query e como a trabalhar com estes dados. Os desafios foram especialmente importantes, pois faz com que busquemos mais conteúdo através das bibliotecas, podendo gerar gráficos mais bem trabalhados e construídos. "
      ]
    }
  ]
}