Imersão_de_Dados_02.ipynb

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  "metadata": {
    "colab": {
      "name": "Imersão de Dados 02",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNXUT7BR9E3Fui7eEcd/4ZD",
      "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/Pedr0Rodrigues/Imersao_Alura/blob/main/Imers%C3%A3o_de_Dados_02.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OQdrRx-L54a-"
      },
      "source": [
        "Segue o notebook com as atividades desenvolvidas durante a primeira \n",
        "aula da imersão de dados da Alura. Este possui as informações relativas a aula 02, de 04 de maio de 2021, \"2 Estatísticas, visualização de dados e distribuições\" disponível em https://youtu.be/lMzhxPrIxHU.\n",
        "\n",
        "---\n",
        "#####Autor: Pedro Rodrigues\n",
        "#####Github: /~https://github.com/Pedr0Rodrigues\n",
        "#####LinkedIn: www.linkedin.com/in/rodriguespedro1\n",
        "#####Data de Criação: 05 de maio de 2021.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rm-syrih5yij"
      },
      "source": [
        "#Importar as bibliotecas de imediato\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "urlDados = url_dados = '/~https://github.com/alura-cursos/imersaodados3/blob/main/dados/dados_experimentos.zip?raw=true'\n",
        "\n",
        "#Atenção que este arquivo fornecido também é um arquivo zip\n",
        "dados = pd.read_csv(urlDados, compression = 'zip')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "id": "A1zb9m7q61dJ",
        "outputId": "990783b7-0750-4100-cd6f-a9dd5e62a7d7"
      },
      "source": [
        "#Imprimir os dados na tela\n",
        "dados"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
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              "      <td>1.5540</td>\n",
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              "      <td>1.2390</td>\n",
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              "      <td>-0.7250</td>\n",
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              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
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              "      <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": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wgIiqBjlte1Y"
      },
      "source": [
        "#Renomeando a coluna para um termo mais neutro. Lembrando que a informação será atualizada pelo comando inplace.\n",
        "mapa = {'droga':'composto'}\n",
        "dados.rename(columns=mapa, inplace = True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fCziO1--tkVO"
      },
      "source": [
        "#Será um grande volume de informações. Para um gráfico de barras será algo... complicado. \n",
        "#Afim de evitar que tenha um tempo grande demais nessa operação, irei deixar essa operação como um comentário. \n",
        "#sns.countplot(x = 'composto', data = dados)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BW5HtlxSuolb"
      },
      "source": [
        "#Para uma visualização mais imediata, fazendo uso dos primeiros elementos dos compostos (similar ao head em ideia).\n",
        "cod_compostos = dados['composto'].value_counts().index[:5]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GmthCB_evfiI",
        "outputId": "e272be47-9fec-4834-fb47-aa19183a3f48"
      },
      "source": [
        "#Apenas visualizando.\n",
        "cod_compostos"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['cacb2b860', '87d714366', '9f80f3f77', '8b87a7a83', '5628cb3ee'], dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "id": "suHmfJvVvoMV",
        "outputId": "a41d38d0-4b95-47cb-f59c-70e393c58817"
      },
      "source": [
        "#Fazendo uso do query visto na aula anterior.\n",
        "#O @ faz o serviço de menção a variável global expressa antes do bloco em questão, dentro da query.\n",
        "dados.query('composto in @cod_compostos')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>id_0020d0484</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.2711</td>\n",
              "      <td>0.5133</td>\n",
              "      <td>-0.1327</td>\n",
              "      <td>2.5950</td>\n",
              "      <td>0.6980</td>\n",
              "      <td>0.5846</td>\n",
              "      <td>-0.2633</td>\n",
              "      <td>-2.1490</td>\n",
              "      <td>0.4881</td>\n",
              "      <td>1.4750</td>\n",
              "      <td>-0.0488</td>\n",
              "      <td>-0.0561</td>\n",
              "      <td>0.1641</td>\n",
              "      <td>0.1749</td>\n",
              "      <td>-0.3464</td>\n",
              "      <td>-0.1811</td>\n",
              "      <td>0.5685</td>\n",
              "      <td>1.2970</td>\n",
              "      <td>1.0510</td>\n",
              "      <td>-0.9585</td>\n",
              "      <td>0.7911</td>\n",
              "      <td>-0.2991</td>\n",
              "      <td>2.7420</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>-1.0240</td>\n",
              "      <td>0.7268</td>\n",
              "      <td>0.1590</td>\n",
              "      <td>-1.9730</td>\n",
              "      <td>1.1340</td>\n",
              "      <td>-2.5720</td>\n",
              "      <td>0.2068</td>\n",
              "      <td>0.9992</td>\n",
              "      <td>-0.1958</td>\n",
              "      <td>0.2262</td>\n",
              "      <td>1.0140</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2623</td>\n",
              "      <td>-0.5500</td>\n",
              "      <td>-0.0530</td>\n",
              "      <td>0.2077</td>\n",
              "      <td>-0.0825</td>\n",
              "      <td>0.2156</td>\n",
              "      <td>0.8142</td>\n",
              "      <td>1.0990</td>\n",
              "      <td>1.0860</td>\n",
              "      <td>0.4011</td>\n",
              "      <td>-0.1342</td>\n",
              "      <td>0.4653</td>\n",
              "      <td>-0.1104</td>\n",
              "      <td>0.3935</td>\n",
              "      <td>1.2370</td>\n",
              "      <td>-0.5072</td>\n",
              "      <td>0.0351</td>\n",
              "      <td>0.5084</td>\n",
              "      <td>-0.1248</td>\n",
              "      <td>0.4351</td>\n",
              "      <td>0.1389</td>\n",
              "      <td>0.6726</td>\n",
              "      <td>0.6070</td>\n",
              "      <td>0.3431</td>\n",
              "      <td>-0.4116</td>\n",
              "      <td>0.1194</td>\n",
              "      <td>0.3420</td>\n",
              "      <td>0.1331</td>\n",
              "      <td>0.8541</td>\n",
              "      <td>0.6282</td>\n",
              "      <td>0.3230</td>\n",
              "      <td>-0.4140</td>\n",
              "      <td>0.2532</td>\n",
              "      <td>0.0513</td>\n",
              "      <td>0.8600</td>\n",
              "      <td>1.4250</td>\n",
              "      <td>0.6633</td>\n",
              "      <td>0.4562</td>\n",
              "      <td>-0.9622</td>\n",
              "      <td>0.0260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>id_002fb9c19</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>87d714366</td>\n",
              "      <td>8.7380</td>\n",
              "      <td>0.1914</td>\n",
              "      <td>2.4380</td>\n",
              "      <td>-0.2930</td>\n",
              "      <td>3.2010</td>\n",
              "      <td>1.4910</td>\n",
              "      <td>5.3920</td>\n",
              "      <td>-1.0420</td>\n",
              "      <td>-8.4860</td>\n",
              "      <td>-2.5790</td>\n",
              "      <td>-6.7470</td>\n",
              "      <td>3.6150</td>\n",
              "      <td>-1.4510</td>\n",
              "      <td>0.6909</td>\n",
              "      <td>-0.7623</td>\n",
              "      <td>-2.9400</td>\n",
              "      <td>-9.2850</td>\n",
              "      <td>-6.7110</td>\n",
              "      <td>-0.4195</td>\n",
              "      <td>1.1600</td>\n",
              "      <td>-1.3180</td>\n",
              "      <td>1.3660</td>\n",
              "      <td>-1.4020</td>\n",
              "      <td>-2.6220</td>\n",
              "      <td>0.7204</td>\n",
              "      <td>-2.5930</td>\n",
              "      <td>-4.0630</td>\n",
              "      <td>-0.8282</td>\n",
              "      <td>-3.5000</td>\n",
              "      <td>0.9206</td>\n",
              "      <td>-5.1450</td>\n",
              "      <td>9.8040</td>\n",
              "      <td>-2.6840</td>\n",
              "      <td>-2.4390</td>\n",
              "      <td>-0.1427</td>\n",
              "      <td>...</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-9.5910</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-8.5110</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-8.8870</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-10.0000</td>\n",
              "      <td>-4.9020</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-5.5520</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.7960</td>\n",
              "      <td>-8.1770</td>\n",
              "      <td>-9.8990</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-9.9840</td>\n",
              "      <td>-6.7840</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>id_0054388ec</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.6696</td>\n",
              "      <td>-0.2718</td>\n",
              "      <td>-1.2230</td>\n",
              "      <td>-0.6226</td>\n",
              "      <td>-0.7220</td>\n",
              "      <td>0.1588</td>\n",
              "      <td>0.7785</td>\n",
              "      <td>0.7062</td>\n",
              "      <td>-0.7951</td>\n",
              "      <td>1.3770</td>\n",
              "      <td>0.2856</td>\n",
              "      <td>-0.8331</td>\n",
              "      <td>0.3879</td>\n",
              "      <td>1.3290</td>\n",
              "      <td>-0.4746</td>\n",
              "      <td>0.0857</td>\n",
              "      <td>-0.2745</td>\n",
              "      <td>-0.1093</td>\n",
              "      <td>0.2603</td>\n",
              "      <td>0.7386</td>\n",
              "      <td>-0.6665</td>\n",
              "      <td>-1.6520</td>\n",
              "      <td>-0.9262</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.6310</td>\n",
              "      <td>-0.2933</td>\n",
              "      <td>0.2043</td>\n",
              "      <td>-2.2070</td>\n",
              "      <td>0.1383</td>\n",
              "      <td>-0.4966</td>\n",
              "      <td>0.6922</td>\n",
              "      <td>-0.4077</td>\n",
              "      <td>0.2303</td>\n",
              "      <td>-0.0456</td>\n",
              "      <td>-0.7447</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6976</td>\n",
              "      <td>-0.0178</td>\n",
              "      <td>0.3768</td>\n",
              "      <td>0.4318</td>\n",
              "      <td>-0.1051</td>\n",
              "      <td>0.3933</td>\n",
              "      <td>-0.3189</td>\n",
              "      <td>0.4128</td>\n",
              "      <td>-0.2116</td>\n",
              "      <td>-1.0410</td>\n",
              "      <td>0.7798</td>\n",
              "      <td>0.1579</td>\n",
              "      <td>1.7250</td>\n",
              "      <td>1.4490</td>\n",
              "      <td>0.9117</td>\n",
              "      <td>-0.0754</td>\n",
              "      <td>-0.8396</td>\n",
              "      <td>0.7640</td>\n",
              "      <td>1.2080</td>\n",
              "      <td>1.1890</td>\n",
              "      <td>0.2114</td>\n",
              "      <td>0.6335</td>\n",
              "      <td>0.3265</td>\n",
              "      <td>-0.1056</td>\n",
              "      <td>0.5478</td>\n",
              "      <td>0.7477</td>\n",
              "      <td>1.2340</td>\n",
              "      <td>0.5035</td>\n",
              "      <td>-0.6591</td>\n",
              "      <td>0.3023</td>\n",
              "      <td>0.6171</td>\n",
              "      <td>0.6405</td>\n",
              "      <td>0.5429</td>\n",
              "      <td>0.3562</td>\n",
              "      <td>1.3290</td>\n",
              "      <td>0.5573</td>\n",
              "      <td>0.8837</td>\n",
              "      <td>0.5534</td>\n",
              "      <td>0.8976</td>\n",
              "      <td>1.0050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>id_0079af0fb</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-0.1636</td>\n",
              "      <td>-1.8230</td>\n",
              "      <td>-0.5211</td>\n",
              "      <td>0.3054</td>\n",
              "      <td>-1.1280</td>\n",
              "      <td>0.6041</td>\n",
              "      <td>0.3856</td>\n",
              "      <td>-0.1670</td>\n",
              "      <td>-0.5400</td>\n",
              "      <td>0.2721</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>0.0761</td>\n",
              "      <td>-0.4054</td>\n",
              "      <td>2.9760</td>\n",
              "      <td>-0.7679</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>0.0752</td>\n",
              "      <td>0.5943</td>\n",
              "      <td>0.4266</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.0410</td>\n",
              "      <td>-0.1131</td>\n",
              "      <td>0.6593</td>\n",
              "      <td>-0.6890</td>\n",
              "      <td>0.5115</td>\n",
              "      <td>-0.2512</td>\n",
              "      <td>-0.8775</td>\n",
              "      <td>-1.3810</td>\n",
              "      <td>0.1419</td>\n",
              "      <td>-0.0363</td>\n",
              "      <td>0.2559</td>\n",
              "      <td>2.5290</td>\n",
              "      <td>0.2853</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.3626</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.3420</td>\n",
              "      <td>0.2815</td>\n",
              "      <td>-0.7493</td>\n",
              "      <td>-0.2701</td>\n",
              "      <td>0.1205</td>\n",
              "      <td>0.2396</td>\n",
              "      <td>0.3506</td>\n",
              "      <td>-0.9233</td>\n",
              "      <td>0.2490</td>\n",
              "      <td>-0.0824</td>\n",
              "      <td>0.4841</td>\n",
              "      <td>1.1940</td>\n",
              "      <td>-1.1650</td>\n",
              "      <td>-0.4853</td>\n",
              "      <td>1.1080</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>0.7438</td>\n",
              "      <td>0.2050</td>\n",
              "      <td>-0.2761</td>\n",
              "      <td>-0.1748</td>\n",
              "      <td>0.3385</td>\n",
              "      <td>-0.3500</td>\n",
              "      <td>-0.0309</td>\n",
              "      <td>-0.0409</td>\n",
              "      <td>-0.0735</td>\n",
              "      <td>0.2732</td>\n",
              "      <td>-1.2100</td>\n",
              "      <td>0.0089</td>\n",
              "      <td>0.0317</td>\n",
              "      <td>0.4721</td>\n",
              "      <td>-0.3880</td>\n",
              "      <td>-0.6828</td>\n",
              "      <td>-0.6594</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.3571</td>\n",
              "      <td>-0.1319</td>\n",
              "      <td>0.2187</td>\n",
              "      <td>0.0737</td>\n",
              "      <td>0.6498</td>\n",
              "      <td>-1.4820</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>id_007bfbb91</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>-1.3200</td>\n",
              "      <td>-1.7340</td>\n",
              "      <td>-0.0741</td>\n",
              "      <td>1.5440</td>\n",
              "      <td>-1.8290</td>\n",
              "      <td>-0.0951</td>\n",
              "      <td>0.3829</td>\n",
              "      <td>-1.8700</td>\n",
              "      <td>-0.0324</td>\n",
              "      <td>2.7670</td>\n",
              "      <td>-0.0438</td>\n",
              "      <td>-0.0147</td>\n",
              "      <td>0.1276</td>\n",
              "      <td>0.2968</td>\n",
              "      <td>-0.0704</td>\n",
              "      <td>-0.3767</td>\n",
              "      <td>2.5790</td>\n",
              "      <td>0.4069</td>\n",
              "      <td>-0.3868</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>1.8180</td>\n",
              "      <td>-2.9390</td>\n",
              "      <td>-0.1150</td>\n",
              "      <td>-0.8009</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>0.5412</td>\n",
              "      <td>-0.0804</td>\n",
              "      <td>-0.4444</td>\n",
              "      <td>2.9230</td>\n",
              "      <td>2.8270</td>\n",
              "      <td>-0.3437</td>\n",
              "      <td>1.6570</td>\n",
              "      <td>-1.9200</td>\n",
              "      <td>0.3442</td>\n",
              "      <td>1.7160</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4009</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2789</td>\n",
              "      <td>0.4465</td>\n",
              "      <td>0.9492</td>\n",
              "      <td>0.6385</td>\n",
              "      <td>1.5510</td>\n",
              "      <td>-0.1220</td>\n",
              "      <td>0.6688</td>\n",
              "      <td>0.4396</td>\n",
              "      <td>0.6947</td>\n",
              "      <td>0.9761</td>\n",
              "      <td>1.2430</td>\n",
              "      <td>1.4770</td>\n",
              "      <td>-0.0081</td>\n",
              "      <td>1.0040</td>\n",
              "      <td>1.4420</td>\n",
              "      <td>-0.3482</td>\n",
              "      <td>0.3297</td>\n",
              "      <td>1.2070</td>\n",
              "      <td>0.0524</td>\n",
              "      <td>0.5346</td>\n",
              "      <td>0.7643</td>\n",
              "      <td>0.4067</td>\n",
              "      <td>0.3817</td>\n",
              "      <td>0.4566</td>\n",
              "      <td>0.7736</td>\n",
              "      <td>0.5316</td>\n",
              "      <td>0.2790</td>\n",
              "      <td>0.9735</td>\n",
              "      <td>0.7412</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>0.7393</td>\n",
              "      <td>1.1020</td>\n",
              "      <td>0.3786</td>\n",
              "      <td>0.2636</td>\n",
              "      <td>-0.5751</td>\n",
              "      <td>0.3362</td>\n",
              "      <td>0.8543</td>\n",
              "      <td>0.9180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23793</th>\n",
              "      <td>id_ffd26f361</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.6008</td>\n",
              "      <td>0.2781</td>\n",
              "      <td>-0.3319</td>\n",
              "      <td>-0.8782</td>\n",
              "      <td>0.9281</td>\n",
              "      <td>0.7535</td>\n",
              "      <td>0.5971</td>\n",
              "      <td>1.6350</td>\n",
              "      <td>-0.3146</td>\n",
              "      <td>0.4984</td>\n",
              "      <td>-1.1890</td>\n",
              "      <td>0.3772</td>\n",
              "      <td>-0.8196</td>\n",
              "      <td>0.1083</td>\n",
              "      <td>-2.0350</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.7586</td>\n",
              "      <td>-0.4024</td>\n",
              "      <td>-0.0449</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.2358</td>\n",
              "      <td>0.7919</td>\n",
              "      <td>-0.8775</td>\n",
              "      <td>0.4232</td>\n",
              "      <td>1.8460</td>\n",
              "      <td>-2.0940</td>\n",
              "      <td>0.1438</td>\n",
              "      <td>-0.6604</td>\n",
              "      <td>0.7243</td>\n",
              "      <td>0.0338</td>\n",
              "      <td>-0.0182</td>\n",
              "      <td>-0.2022</td>\n",
              "      <td>0.8827</td>\n",
              "      <td>0.3147</td>\n",
              "      <td>-0.9263</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1934</td>\n",
              "      <td>1.2240</td>\n",
              "      <td>-0.1178</td>\n",
              "      <td>0.1459</td>\n",
              "      <td>-0.1242</td>\n",
              "      <td>0.3106</td>\n",
              "      <td>-0.7959</td>\n",
              "      <td>0.5681</td>\n",
              "      <td>0.3663</td>\n",
              "      <td>0.4874</td>\n",
              "      <td>-0.0548</td>\n",
              "      <td>0.1810</td>\n",
              "      <td>1.3470</td>\n",
              "      <td>1.6210</td>\n",
              "      <td>-0.8260</td>\n",
              "      <td>0.3377</td>\n",
              "      <td>0.3264</td>\n",
              "      <td>0.9241</td>\n",
              "      <td>0.3012</td>\n",
              "      <td>1.2980</td>\n",
              "      <td>-0.2789</td>\n",
              "      <td>0.7019</td>\n",
              "      <td>-0.3528</td>\n",
              "      <td>0.7383</td>\n",
              "      <td>1.0300</td>\n",
              "      <td>0.6527</td>\n",
              "      <td>1.6750</td>\n",
              "      <td>-0.5046</td>\n",
              "      <td>0.2942</td>\n",
              "      <td>0.2950</td>\n",
              "      <td>1.2470</td>\n",
              "      <td>0.9569</td>\n",
              "      <td>-0.2065</td>\n",
              "      <td>-0.4918</td>\n",
              "      <td>0.7863</td>\n",
              "      <td>0.0504</td>\n",
              "      <td>0.8813</td>\n",
              "      <td>0.7757</td>\n",
              "      <td>-0.5272</td>\n",
              "      <td>0.7082</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23802</th>\n",
              "      <td>id_fff3976bd</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>87d714366</td>\n",
              "      <td>3.2890</td>\n",
              "      <td>2.1270</td>\n",
              "      <td>0.9770</td>\n",
              "      <td>2.0490</td>\n",
              "      <td>2.3170</td>\n",
              "      <td>-0.5355</td>\n",
              "      <td>-0.6357</td>\n",
              "      <td>-6.9060</td>\n",
              "      <td>-4.4830</td>\n",
              "      <td>-2.8400</td>\n",
              "      <td>-5.3310</td>\n",
              "      <td>0.6547</td>\n",
              "      <td>-2.2080</td>\n",
              "      <td>3.6030</td>\n",
              "      <td>0.6380</td>\n",
              "      <td>-2.1280</td>\n",
              "      <td>-3.1680</td>\n",
              "      <td>-4.2180</td>\n",
              "      <td>-0.3170</td>\n",
              "      <td>0.2140</td>\n",
              "      <td>-1.7660</td>\n",
              "      <td>-1.9700</td>\n",
              "      <td>-1.4820</td>\n",
              "      <td>-1.3710</td>\n",
              "      <td>-0.2628</td>\n",
              "      <td>-0.5276</td>\n",
              "      <td>-2.4160</td>\n",
              "      <td>-0.4638</td>\n",
              "      <td>-3.8630</td>\n",
              "      <td>-0.8880</td>\n",
              "      <td>-1.9850</td>\n",
              "      <td>2.0530</td>\n",
              "      <td>-1.4700</td>\n",
              "      <td>-3.3220</td>\n",
              "      <td>1.8800</td>\n",
              "      <td>...</td>\n",
              "      <td>-9.9170</td>\n",
              "      <td>-4.0200</td>\n",
              "      <td>-6.7560</td>\n",
              "      <td>-9.9170</td>\n",
              "      <td>-4.1240</td>\n",
              "      <td>-8.5110</td>\n",
              "      <td>-5.7500</td>\n",
              "      <td>-8.4760</td>\n",
              "      <td>-6.9470</td>\n",
              "      <td>-4.7650</td>\n",
              "      <td>-9.7690</td>\n",
              "      <td>-5.7900</td>\n",
              "      <td>-9.9170</td>\n",
              "      <td>-5.7450</td>\n",
              "      <td>-2.3570</td>\n",
              "      <td>-9.1190</td>\n",
              "      <td>-4.5980</td>\n",
              "      <td>-8.7760</td>\n",
              "      <td>-7.7980</td>\n",
              "      <td>-4.1620</td>\n",
              "      <td>-6.1510</td>\n",
              "      <td>-5.7400</td>\n",
              "      <td>-6.8700</td>\n",
              "      <td>-9.1000</td>\n",
              "      <td>-3.3360</td>\n",
              "      <td>-6.6420</td>\n",
              "      <td>-2.2750</td>\n",
              "      <td>-3.4720</td>\n",
              "      <td>-6.2670</td>\n",
              "      <td>-6.3980</td>\n",
              "      <td>-8.6300</td>\n",
              "      <td>-8.1490</td>\n",
              "      <td>-6.2900</td>\n",
              "      <td>-8.0970</td>\n",
              "      <td>-8.7330</td>\n",
              "      <td>-2.3780</td>\n",
              "      <td>-8.4480</td>\n",
              "      <td>-4.4550</td>\n",
              "      <td>-5.7930</td>\n",
              "      <td>-3.7000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23805</th>\n",
              "      <td>id_fff6df1c5</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>5628cb3ee</td>\n",
              "      <td>1.7380</td>\n",
              "      <td>-1.2900</td>\n",
              "      <td>-0.4533</td>\n",
              "      <td>-1.1640</td>\n",
              "      <td>-0.4841</td>\n",
              "      <td>-0.2392</td>\n",
              "      <td>-0.1774</td>\n",
              "      <td>-1.3980</td>\n",
              "      <td>-0.4059</td>\n",
              "      <td>0.1553</td>\n",
              "      <td>0.1083</td>\n",
              "      <td>-0.8020</td>\n",
              "      <td>-0.5039</td>\n",
              "      <td>-0.7167</td>\n",
              "      <td>-0.5016</td>\n",
              "      <td>-0.9369</td>\n",
              "      <td>-0.5864</td>\n",
              "      <td>-0.1009</td>\n",
              "      <td>0.8987</td>\n",
              "      <td>0.3389</td>\n",
              "      <td>-1.3460</td>\n",
              "      <td>-0.5087</td>\n",
              "      <td>-0.0892</td>\n",
              "      <td>-0.6559</td>\n",
              "      <td>0.0864</td>\n",
              "      <td>-0.6251</td>\n",
              "      <td>0.2471</td>\n",
              "      <td>-0.4523</td>\n",
              "      <td>-0.0389</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>0.0796</td>\n",
              "      <td>-0.2560</td>\n",
              "      <td>-0.7851</td>\n",
              "      <td>-0.1687</td>\n",
              "      <td>-1.2890</td>\n",
              "      <td>...</td>\n",
              "      <td>0.2866</td>\n",
              "      <td>0.3854</td>\n",
              "      <td>-0.4986</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.5843</td>\n",
              "      <td>0.0907</td>\n",
              "      <td>-0.9303</td>\n",
              "      <td>0.1981</td>\n",
              "      <td>0.6515</td>\n",
              "      <td>0.2877</td>\n",
              "      <td>0.4389</td>\n",
              "      <td>-0.3859</td>\n",
              "      <td>0.5203</td>\n",
              "      <td>-1.1070</td>\n",
              "      <td>2.3870</td>\n",
              "      <td>0.1820</td>\n",
              "      <td>-0.6434</td>\n",
              "      <td>-0.9722</td>\n",
              "      <td>-0.4200</td>\n",
              "      <td>-0.5693</td>\n",
              "      <td>1.0700</td>\n",
              "      <td>1.1110</td>\n",
              "      <td>-0.5117</td>\n",
              "      <td>-1.2130</td>\n",
              "      <td>0.3769</td>\n",
              "      <td>0.5296</td>\n",
              "      <td>1.0400</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>1.0150</td>\n",
              "      <td>-0.7669</td>\n",
              "      <td>0.2865</td>\n",
              "      <td>0.5974</td>\n",
              "      <td>-0.2727</td>\n",
              "      <td>0.1188</td>\n",
              "      <td>1.0770</td>\n",
              "      <td>-1.0250</td>\n",
              "      <td>0.1516</td>\n",
              "      <td>0.4503</td>\n",
              "      <td>-0.6312</td>\n",
              "      <td>-0.8302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6845</td>\n",
              "      <td>0.7127</td>\n",
              "      <td>0.7294</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>id_fffcb9e7c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.4392</td>\n",
              "      <td>0.2044</td>\n",
              "      <td>0.8531</td>\n",
              "      <td>-0.0343</td>\n",
              "      <td>0.0323</td>\n",
              "      <td>0.0463</td>\n",
              "      <td>0.4299</td>\n",
              "      <td>-0.7985</td>\n",
              "      <td>0.5742</td>\n",
              "      <td>0.1421</td>\n",
              "      <td>2.2700</td>\n",
              "      <td>0.2046</td>\n",
              "      <td>0.5363</td>\n",
              "      <td>-1.7330</td>\n",
              "      <td>0.1450</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.2024</td>\n",
              "      <td>0.9865</td>\n",
              "      <td>-0.7805</td>\n",
              "      <td>0.9608</td>\n",
              "      <td>0.3440</td>\n",
              "      <td>2.7650</td>\n",
              "      <td>0.4925</td>\n",
              "      <td>0.6698</td>\n",
              "      <td>0.2374</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.8771</td>\n",
              "      <td>-2.6560</td>\n",
              "      <td>-0.2000</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.6797</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>-0.0927</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3360</td>\n",
              "      <td>-0.6136</td>\n",
              "      <td>0.5011</td>\n",
              "      <td>0.9261</td>\n",
              "      <td>0.4419</td>\n",
              "      <td>0.0295</td>\n",
              "      <td>0.4220</td>\n",
              "      <td>0.4677</td>\n",
              "      <td>-0.1184</td>\n",
              "      <td>0.4524</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.1356</td>\n",
              "      <td>-0.5801</td>\n",
              "      <td>0.0411</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>-0.0270</td>\n",
              "      <td>-0.4194</td>\n",
              "      <td>0.7403</td>\n",
              "      <td>-0.6793</td>\n",
              "      <td>-0.1423</td>\n",
              "      <td>0.7307</td>\n",
              "      <td>0.7946</td>\n",
              "      <td>-0.0650</td>\n",
              "      <td>0.9038</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.9676</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.5187</td>\n",
              "      <td>-0.1105</td>\n",
              "      <td>0.4258</td>\n",
              "      <td>-0.2012</td>\n",
              "      <td>0.1506</td>\n",
              "      <td>1.5230</td>\n",
              "      <td>0.7101</td>\n",
              "      <td>0.1732</td>\n",
              "      <td>0.7015</td>\n",
              "      <td>-0.6290</td>\n",
              "      <td>0.0740</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3235 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...    c-96    c-97    c-98    c-99\n",
              "7      id_0020d0484     com_droga     48   D1  ...  0.6633  0.4562 -0.9622  0.0260\n",
              "16     id_002fb9c19     com_droga     48   D1  ... -9.9840 -9.9840 -9.9840 -6.7840\n",
              "25     id_0054388ec  com_controle     48   D1  ...  0.8837  0.5534  0.8976  1.0050\n",
              "38     id_0079af0fb  com_controle     24   D1  ...  0.2187  0.0737  0.6498 -1.4820\n",
              "40     id_007bfbb91  com_controle     24   D2  ... -0.5751  0.3362  0.8543  0.9180\n",
              "...             ...           ...    ...  ...  ...     ...     ...     ...     ...\n",
              "23793  id_ffd26f361  com_controle     48   D2  ...  0.8813  0.7757 -0.5272  0.7082\n",
              "23802  id_fff3976bd     com_droga     24   D1  ... -8.4480 -4.4550 -5.7930 -3.7000\n",
              "23805  id_fff6df1c5     com_droga     48   D2  ...  0.1516  0.4503 -0.6312 -0.8302\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "23812  id_fffcb9e7c     com_droga     24   D1  ...  0.1732  0.7015 -0.6290  0.0740\n",
              "\n",
              "[3235 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 523
        },
        "id": "syvcPl9sv0XO",
        "outputId": "1c1a7e6b-f8c3-451b-a76f-369157279068"
      },
      "source": [
        "#Com uma seleção mais restrita de dados, a visualização ficará mais acessível. \n",
        "sns.set() #Deixa um aspecto mais elegante.\n",
        "plt.figure(figsize=(10, 8)) #Aumentar a imagem.\n",
        "ax = sns.countplot(x = 'composto', data = dados.query('composto in @cod_compostos'))\n",
        "ax.set_title ('Top 5 Compostos',size = 20)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rhe2fviawfl_",
        "outputId": "e5d81911-0a78-4748-c319-77a65aa43dd7"
      },
      "source": [
        "#Verificar a quantidade de termos únicos para o campo g-0\n",
        "len(dados['g-0'].unique())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "14367"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9DkfMmUSznko",
        "outputId": "05529ff6-0430-43a3-e56a-fc0fe4db3c4c"
      },
      "source": [
        "#ver os mínimos e máximos\n",
        "min = dados['g-0'].min()\n",
        "max = dados['g-0'].max()\n",
        "print ('Os valores máximos e mínimos são ',max, ' e', min, ', respectivamente.')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Os valores máximos e mínimos são  10.0  e -5.513 , respectivamente.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "eVNLjqaP0HHm",
        "outputId": "d35a53bb-beef-4c04-fd43-fe06dba6e728"
      },
      "source": [
        "#Visualização do histograma com os dados de g-0\n",
        "#Bins são as divisões do histograma\n",
        "dados['g-0'].hist(bins = 100)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fad5e9d6e50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        },
        {
          "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": "ngxv9Com3MdY",
        "outputId": "8282748e-86b0-4e93-9058-f3673198a2b2"
      },
      "source": [
        "#O Pandas possui uma série de informações contidas dentro da função describe\n",
        "dados.describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>tempo</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>g-35</th>\n",
              "      <th>g-36</th>\n",
              "      <th>g-37</th>\n",
              "      <th>g-38</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>48.020156</td>\n",
              "      <td>0.248366</td>\n",
              "      <td>-0.095684</td>\n",
              "      <td>0.152253</td>\n",
              "      <td>0.081971</td>\n",
              "      <td>0.057347</td>\n",
              "      <td>-0.138836</td>\n",
              "      <td>0.035961</td>\n",
              "      <td>-0.202651</td>\n",
              "      <td>-0.190083</td>\n",
              "      <td>0.119905</td>\n",
              "      <td>-0.123321</td>\n",
              "      <td>0.182307</td>\n",
              "      <td>0.143203</td>\n",
              "      <td>0.209402</td>\n",
              "      <td>-0.173884</td>\n",
              "      <td>-0.024432</td>\n",
              "      <td>0.126823</td>\n",
              "      <td>-0.146663</td>\n",
              "      <td>0.087687</td>\n",
              "      <td>-0.082982</td>\n",
              "      <td>-0.111908</td>\n",
              "      <td>-0.087379</td>\n",
              "      <td>0.047548</td>\n",
              "      <td>-0.117474</td>\n",
              "      <td>-0.113212</td>\n",
              "      <td>-0.052746</td>\n",
              "      <td>-0.091055</td>\n",
              "      <td>0.112176</td>\n",
              "      <td>-0.046458</td>\n",
              "      <td>-0.076239</td>\n",
              "      <td>-0.197699</td>\n",
              "      <td>0.382177</td>\n",
              "      <td>-0.189432</td>\n",
              "      <td>0.078791</td>\n",
              "      <td>-0.093312</td>\n",
              "      <td>0.135729</td>\n",
              "      <td>-0.188616</td>\n",
              "      <td>-0.606710</td>\n",
              "      <td>0.534425</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.517397</td>\n",
              "      <td>-0.360770</td>\n",
              "      <td>-0.435752</td>\n",
              "      <td>-0.613591</td>\n",
              "      <td>-0.402083</td>\n",
              "      <td>-0.619682</td>\n",
              "      <td>-0.452265</td>\n",
              "      <td>-0.497164</td>\n",
              "      <td>-0.413836</td>\n",
              "      <td>-0.277029</td>\n",
              "      <td>-0.547845</td>\n",
              "      <td>-0.358611</td>\n",
              "      <td>-0.442906</td>\n",
              "      <td>-0.475194</td>\n",
              "      <td>-0.010404</td>\n",
              "      <td>-0.467001</td>\n",
              "      <td>-0.276963</td>\n",
              "      <td>-0.455848</td>\n",
              "      <td>-0.412918</td>\n",
              "      <td>-0.456404</td>\n",
              "      <td>-0.472514</td>\n",
              "      <td>-0.505481</td>\n",
              "      <td>-0.492735</td>\n",
              "      <td>-0.446836</td>\n",
              "      <td>-0.463029</td>\n",
              "      <td>-0.409310</td>\n",
              "      <td>-0.333124</td>\n",
              "      <td>-0.295009</td>\n",
              "      <td>-0.328342</td>\n",
              "      <td>-0.401615</td>\n",
              "      <td>-0.469244</td>\n",
              "      <td>-0.461411</td>\n",
              "      <td>-0.513256</td>\n",
              "      <td>-0.500142</td>\n",
              "      <td>-0.507093</td>\n",
              "      <td>-0.353726</td>\n",
              "      <td>-0.463485</td>\n",
              "      <td>-0.378241</td>\n",
              "      <td>-0.470252</td>\n",
              "      <td>-0.301505</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>19.402807</td>\n",
              "      <td>1.393399</td>\n",
              "      <td>0.812363</td>\n",
              "      <td>1.035731</td>\n",
              "      <td>0.950012</td>\n",
              "      <td>1.032091</td>\n",
              "      <td>1.179388</td>\n",
              "      <td>0.882395</td>\n",
              "      <td>1.125494</td>\n",
              "      <td>1.749885</td>\n",
              "      <td>1.087180</td>\n",
              "      <td>1.291501</td>\n",
              "      <td>1.253604</td>\n",
              "      <td>1.234590</td>\n",
              "      <td>1.273068</td>\n",
              "      <td>1.247178</td>\n",
              "      <td>0.659839</td>\n",
              "      <td>1.418997</td>\n",
              "      <td>1.179688</td>\n",
              "      <td>0.743301</td>\n",
              "      <td>0.844796</td>\n",
              "      <td>1.219529</td>\n",
              "      <td>0.824401</td>\n",
              "      <td>0.924838</td>\n",
              "      <td>0.760159</td>\n",
              "      <td>1.203186</td>\n",
              "      <td>0.866977</td>\n",
              "      <td>1.103765</td>\n",
              "      <td>1.001687</td>\n",
              "      <td>1.027758</td>\n",
              "      <td>1.279399</td>\n",
              "      <td>1.302567</td>\n",
              "      <td>1.559174</td>\n",
              "      <td>0.933514</td>\n",
              "      <td>1.172270</td>\n",
              "      <td>1.174325</td>\n",
              "      <td>1.061719</td>\n",
              "      <td>1.397677</td>\n",
              "      <td>2.200277</td>\n",
              "      <td>2.003317</td>\n",
              "      <td>...</td>\n",
              "      <td>2.122318</td>\n",
              "      <td>1.710725</td>\n",
              "      <td>1.898871</td>\n",
              "      <td>2.307820</td>\n",
              "      <td>1.785055</td>\n",
              "      <td>2.225596</td>\n",
              "      <td>1.991021</td>\n",
              "      <td>2.063896</td>\n",
              "      <td>1.887001</td>\n",
              "      <td>1.459639</td>\n",
              "      <td>2.187835</td>\n",
              "      <td>1.730634</td>\n",
              "      <td>1.924716</td>\n",
              "      <td>2.021927</td>\n",
              "      <td>1.029820</td>\n",
              "      <td>2.004317</td>\n",
              "      <td>1.429340</td>\n",
              "      <td>1.924263</td>\n",
              "      <td>1.888788</td>\n",
              "      <td>1.832863</td>\n",
              "      <td>2.011396</td>\n",
              "      <td>2.091353</td>\n",
              "      <td>2.055624</td>\n",
              "      <td>1.987476</td>\n",
              "      <td>2.014045</td>\n",
              "      <td>1.883974</td>\n",
              "      <td>1.647241</td>\n",
              "      <td>1.634073</td>\n",
              "      <td>1.663170</td>\n",
              "      <td>1.832794</td>\n",
              "      <td>2.000488</td>\n",
              "      <td>2.042475</td>\n",
              "      <td>2.001714</td>\n",
              "      <td>2.107105</td>\n",
              "      <td>2.159589</td>\n",
              "      <td>1.629291</td>\n",
              "      <td>2.059725</td>\n",
              "      <td>1.703615</td>\n",
              "      <td>1.834828</td>\n",
              "      <td>1.407918</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>24.000000</td>\n",
              "      <td>-5.513000</td>\n",
              "      <td>-5.737000</td>\n",
              "      <td>-9.104000</td>\n",
              "      <td>-5.998000</td>\n",
              "      <td>-6.369000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-8.337000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-5.870000</td>\n",
              "      <td>-8.587000</td>\n",
              "      <td>-5.018000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-4.226000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-5.700000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-8.272000</td>\n",
              "      <td>-8.184000</td>\n",
              "      <td>-4.835000</td>\n",
              "      <td>-7.913000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-2.956000</td>\n",
              "      <td>-8.356000</td>\n",
              "      <td>-7.182000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.261000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.839000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-6.452000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.938000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>24.000000</td>\n",
              "      <td>-0.473075</td>\n",
              "      <td>-0.562200</td>\n",
              "      <td>-0.437750</td>\n",
              "      <td>-0.429575</td>\n",
              "      <td>-0.470925</td>\n",
              "      <td>-0.602225</td>\n",
              "      <td>-0.493900</td>\n",
              "      <td>-0.525175</td>\n",
              "      <td>-0.511675</td>\n",
              "      <td>-0.360200</td>\n",
              "      <td>-0.511475</td>\n",
              "      <td>-0.489675</td>\n",
              "      <td>-0.447500</td>\n",
              "      <td>-0.481200</td>\n",
              "      <td>-0.607975</td>\n",
              "      <td>-0.404150</td>\n",
              "      <td>-0.391950</td>\n",
              "      <td>-0.513775</td>\n",
              "      <td>-0.272200</td>\n",
              "      <td>-0.488675</td>\n",
              "      <td>-0.524600</td>\n",
              "      <td>-0.538900</td>\n",
              "      <td>-0.440375</td>\n",
              "      <td>-0.508900</td>\n",
              "      <td>-0.533900</td>\n",
              "      <td>-0.497700</td>\n",
              "      <td>-0.512875</td>\n",
              "      <td>-0.467800</td>\n",
              "      <td>-0.378300</td>\n",
              "      <td>-0.505750</td>\n",
              "      <td>-0.457975</td>\n",
              "      <td>-0.328200</td>\n",
              "      <td>-0.600500</td>\n",
              "      <td>-0.478700</td>\n",
              "      <td>-0.570525</td>\n",
              "      <td>-0.481800</td>\n",
              "      <td>-0.541950</td>\n",
              "      <td>-0.604100</td>\n",
              "      <td>-0.470250</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.588075</td>\n",
              "      <td>-0.564025</td>\n",
              "      <td>-0.561000</td>\n",
              "      <td>-0.583250</td>\n",
              "      <td>-0.566500</td>\n",
              "      <td>-0.603200</td>\n",
              "      <td>-0.541575</td>\n",
              "      <td>-0.560825</td>\n",
              "      <td>-0.555200</td>\n",
              "      <td>-0.534500</td>\n",
              "      <td>-0.569100</td>\n",
              "      <td>-0.558300</td>\n",
              "      <td>-0.573350</td>\n",
              "      <td>-0.594275</td>\n",
              "      <td>-0.389925</td>\n",
              "      <td>-0.551200</td>\n",
              "      <td>-0.544150</td>\n",
              "      <td>-0.575075</td>\n",
              "      <td>-0.568275</td>\n",
              "      <td>-0.582650</td>\n",
              "      <td>-0.558575</td>\n",
              "      <td>-0.562375</td>\n",
              "      <td>-0.572800</td>\n",
              "      <td>-0.561225</td>\n",
              "      <td>-0.560675</td>\n",
              "      <td>-0.560100</td>\n",
              "      <td>-0.533700</td>\n",
              "      <td>-0.504575</td>\n",
              "      <td>-0.544275</td>\n",
              "      <td>-0.569150</td>\n",
              "      <td>-0.566175</td>\n",
              "      <td>-0.565975</td>\n",
              "      <td>-0.589975</td>\n",
              "      <td>-0.568700</td>\n",
              "      <td>-0.563775</td>\n",
              "      <td>-0.567975</td>\n",
              "      <td>-0.552575</td>\n",
              "      <td>-0.561000</td>\n",
              "      <td>-0.592600</td>\n",
              "      <td>-0.562900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>48.000000</td>\n",
              "      <td>-0.008850</td>\n",
              "      <td>-0.046600</td>\n",
              "      <td>0.075200</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.026900</td>\n",
              "      <td>-0.015650</td>\n",
              "      <td>-0.000650</td>\n",
              "      <td>-0.017900</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.160450</td>\n",
              "      <td>0.038550</td>\n",
              "      <td>0.013800</td>\n",
              "      <td>0.060250</td>\n",
              "      <td>0.009800</td>\n",
              "      <td>-0.030100</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.149400</td>\n",
              "      <td>-0.002200</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-0.027800</td>\n",
              "      <td>-0.002800</td>\n",
              "      <td>-0.069350</td>\n",
              "      <td>-0.011800</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.018300</td>\n",
              "      <td>-0.011650</td>\n",
              "      <td>0.016100</td>\n",
              "      <td>0.037600</td>\n",
              "      <td>0.003750</td>\n",
              "      <td>0.021750</td>\n",
              "      <td>0.027000</td>\n",
              "      <td>0.019100</td>\n",
              "      <td>-0.054000</td>\n",
              "      <td>0.023350</td>\n",
              "      <td>0.003350</td>\n",
              "      <td>-0.000600</td>\n",
              "      <td>0.015350</td>\n",
              "      <td>-0.000700</td>\n",
              "      <td>0.005800</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.017650</td>\n",
              "      <td>-0.041550</td>\n",
              "      <td>-0.002950</td>\n",
              "      <td>-0.012650</td>\n",
              "      <td>-0.005600</td>\n",
              "      <td>0.007650</td>\n",
              "      <td>0.004950</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-0.023800</td>\n",
              "      <td>-0.011450</td>\n",
              "      <td>-0.007100</td>\n",
              "      <td>-0.019500</td>\n",
              "      <td>-0.019500</td>\n",
              "      <td>-0.009300</td>\n",
              "      <td>0.081550</td>\n",
              "      <td>-0.006900</td>\n",
              "      <td>0.018400</td>\n",
              "      <td>-0.014650</td>\n",
              "      <td>-0.014350</td>\n",
              "      <td>0.005300</td>\n",
              "      <td>-0.005300</td>\n",
              "      <td>-0.004050</td>\n",
              "      <td>0.003300</td>\n",
              "      <td>-0.007900</td>\n",
              "      <td>-0.004600</td>\n",
              "      <td>-0.002400</td>\n",
              "      <td>0.007850</td>\n",
              "      <td>-0.005600</td>\n",
              "      <td>-0.020600</td>\n",
              "      <td>-0.030000</td>\n",
              "      <td>-0.009900</td>\n",
              "      <td>0.003250</td>\n",
              "      <td>-0.009100</td>\n",
              "      <td>-0.013750</td>\n",
              "      <td>-0.003300</td>\n",
              "      <td>-0.010250</td>\n",
              "      <td>-0.001250</td>\n",
              "      <td>-0.006800</td>\n",
              "      <td>0.014000</td>\n",
              "      <td>-0.019500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>72.000000</td>\n",
              "      <td>0.525700</td>\n",
              "      <td>0.403075</td>\n",
              "      <td>0.663925</td>\n",
              "      <td>0.463400</td>\n",
              "      <td>0.465375</td>\n",
              "      <td>0.510425</td>\n",
              "      <td>0.528725</td>\n",
              "      <td>0.411900</td>\n",
              "      <td>0.549225</td>\n",
              "      <td>0.697775</td>\n",
              "      <td>0.525400</td>\n",
              "      <td>0.575275</td>\n",
              "      <td>0.604450</td>\n",
              "      <td>0.575825</td>\n",
              "      <td>0.457975</td>\n",
              "      <td>0.382475</td>\n",
              "      <td>0.829500</td>\n",
              "      <td>0.494775</td>\n",
              "      <td>0.327800</td>\n",
              "      <td>0.400600</td>\n",
              "      <td>0.492400</td>\n",
              "      <td>0.414875</td>\n",
              "      <td>0.433400</td>\n",
              "      <td>0.329250</td>\n",
              "      <td>0.527700</td>\n",
              "      <td>0.461650</td>\n",
              "      <td>0.508425</td>\n",
              "      <td>0.586450</td>\n",
              "      <td>0.431275</td>\n",
              "      <td>0.507600</td>\n",
              "      <td>0.458075</td>\n",
              "      <td>0.471075</td>\n",
              "      <td>0.391950</td>\n",
              "      <td>0.551300</td>\n",
              "      <td>0.503725</td>\n",
              "      <td>0.564875</td>\n",
              "      <td>0.517025</td>\n",
              "      <td>0.460500</td>\n",
              "      <td>0.642300</td>\n",
              "      <td>...</td>\n",
              "      <td>0.452675</td>\n",
              "      <td>0.427675</td>\n",
              "      <td>0.462175</td>\n",
              "      <td>0.447975</td>\n",
              "      <td>0.447150</td>\n",
              "      <td>0.441250</td>\n",
              "      <td>0.470600</td>\n",
              "      <td>0.458550</td>\n",
              "      <td>0.441000</td>\n",
              "      <td>0.460075</td>\n",
              "      <td>0.460950</td>\n",
              "      <td>0.449975</td>\n",
              "      <td>0.445200</td>\n",
              "      <td>0.473200</td>\n",
              "      <td>0.563575</td>\n",
              "      <td>0.456350</td>\n",
              "      <td>0.493400</td>\n",
              "      <td>0.448375</td>\n",
              "      <td>0.451975</td>\n",
              "      <td>0.463075</td>\n",
              "      <td>0.447675</td>\n",
              "      <td>0.462000</td>\n",
              "      <td>0.468900</td>\n",
              "      <td>0.452375</td>\n",
              "      <td>0.460475</td>\n",
              "      <td>0.461675</td>\n",
              "      <td>0.465950</td>\n",
              "      <td>0.463400</td>\n",
              "      <td>0.450075</td>\n",
              "      <td>0.430875</td>\n",
              "      <td>0.457750</td>\n",
              "      <td>0.461500</td>\n",
              "      <td>0.445675</td>\n",
              "      <td>0.452900</td>\n",
              "      <td>0.470900</td>\n",
              "      <td>0.444750</td>\n",
              "      <td>0.465225</td>\n",
              "      <td>0.446400</td>\n",
              "      <td>0.461275</td>\n",
              "      <td>0.438650</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>72.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.039000</td>\n",
              "      <td>8.257000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>7.282000</td>\n",
              "      <td>7.333000</td>\n",
              "      <td>5.473000</td>\n",
              "      <td>8.887000</td>\n",
              "      <td>6.433000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>4.134000</td>\n",
              "      <td>6.418000</td>\n",
              "      <td>4.750000</td>\n",
              "      <td>8.872000</td>\n",
              "      <td>4.081000</td>\n",
              "      <td>9.842000</td>\n",
              "      <td>5.248000</td>\n",
              "      <td>5.942000</td>\n",
              "      <td>5.201000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>8.494000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>9.416000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>6.796000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.834000</td>\n",
              "      <td>5.602000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>3.888000</td>\n",
              "      <td>3.596000</td>\n",
              "      <td>4.857000</td>\n",
              "      <td>3.549000</td>\n",
              "      <td>3.382000</td>\n",
              "      <td>3.328000</td>\n",
              "      <td>4.157000</td>\n",
              "      <td>3.736000</td>\n",
              "      <td>3.582000</td>\n",
              "      <td>3.119000</td>\n",
              "      <td>3.323000</td>\n",
              "      <td>5.014000</td>\n",
              "      <td>2.898000</td>\n",
              "      <td>4.185000</td>\n",
              "      <td>3.170000</td>\n",
              "      <td>3.276000</td>\n",
              "      <td>4.992000</td>\n",
              "      <td>3.770000</td>\n",
              "      <td>2.851000</td>\n",
              "      <td>3.211000</td>\n",
              "      <td>4.534000</td>\n",
              "      <td>3.890000</td>\n",
              "      <td>3.994000</td>\n",
              "      <td>4.321000</td>\n",
              "      <td>4.020000</td>\n",
              "      <td>3.738000</td>\n",
              "      <td>3.252000</td>\n",
              "      <td>5.406000</td>\n",
              "      <td>3.110000</td>\n",
              "      <td>3.320000</td>\n",
              "      <td>4.069000</td>\n",
              "      <td>3.960000</td>\n",
              "      <td>3.927000</td>\n",
              "      <td>3.596000</td>\n",
              "      <td>3.747000</td>\n",
              "      <td>2.814000</td>\n",
              "      <td>3.505000</td>\n",
              "      <td>2.924000</td>\n",
              "      <td>3.111000</td>\n",
              "      <td>3.805000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 873 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "              tempo           g-0  ...          c-98          c-99\n",
              "count  23814.000000  23814.000000  ...  23814.000000  23814.000000\n",
              "mean      48.020156      0.248366  ...     -0.470252     -0.301505\n",
              "std       19.402807      1.393399  ...      1.834828      1.407918\n",
              "min       24.000000     -5.513000  ...    -10.000000    -10.000000\n",
              "25%       24.000000     -0.473075  ...     -0.592600     -0.562900\n",
              "50%       48.000000     -0.008850  ...      0.014000     -0.019500\n",
              "75%       72.000000      0.525700  ...      0.461275      0.438650\n",
              "max       72.000000     10.000000  ...      3.111000      3.805000\n",
              "\n",
              "[8 rows x 873 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 346
        },
        "id": "KwkuPs2D3bdy",
        "outputId": "b53b8f25-beae-4ee7-9024-e1c813d3521f"
      },
      "source": [
        "#Função para selecionar muitos elementos do dataframe, similar ao arrastar do excel.\n",
        "dados.loc[:,'g-0':'g-771'].describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>g-35</th>\n",
              "      <th>g-36</th>\n",
              "      <th>g-37</th>\n",
              "      <th>g-38</th>\n",
              "      <th>g-39</th>\n",
              "      <th>...</th>\n",
              "      <th>g-732</th>\n",
              "      <th>g-733</th>\n",
              "      <th>g-734</th>\n",
              "      <th>g-735</th>\n",
              "      <th>g-736</th>\n",
              "      <th>g-737</th>\n",
              "      <th>g-738</th>\n",
              "      <th>g-739</th>\n",
              "      <th>g-740</th>\n",
              "      <th>g-741</th>\n",
              "      <th>g-742</th>\n",
              "      <th>g-743</th>\n",
              "      <th>g-744</th>\n",
              "      <th>g-745</th>\n",
              "      <th>g-746</th>\n",
              "      <th>g-747</th>\n",
              "      <th>g-748</th>\n",
              "      <th>g-749</th>\n",
              "      <th>g-750</th>\n",
              "      <th>g-751</th>\n",
              "      <th>g-752</th>\n",
              "      <th>g-753</th>\n",
              "      <th>g-754</th>\n",
              "      <th>g-755</th>\n",
              "      <th>g-756</th>\n",
              "      <th>g-757</th>\n",
              "      <th>g-758</th>\n",
              "      <th>g-759</th>\n",
              "      <th>g-760</th>\n",
              "      <th>g-761</th>\n",
              "      <th>g-762</th>\n",
              "      <th>g-763</th>\n",
              "      <th>g-764</th>\n",
              "      <th>g-765</th>\n",
              "      <th>g-766</th>\n",
              "      <th>g-767</th>\n",
              "      <th>g-768</th>\n",
              "      <th>g-769</th>\n",
              "      <th>g-770</th>\n",
              "      <th>g-771</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.248366</td>\n",
              "      <td>-0.095684</td>\n",
              "      <td>0.152253</td>\n",
              "      <td>0.081971</td>\n",
              "      <td>0.057347</td>\n",
              "      <td>-0.138836</td>\n",
              "      <td>0.035961</td>\n",
              "      <td>-0.202651</td>\n",
              "      <td>-0.190083</td>\n",
              "      <td>0.119905</td>\n",
              "      <td>-0.123321</td>\n",
              "      <td>0.182307</td>\n",
              "      <td>0.143203</td>\n",
              "      <td>0.209402</td>\n",
              "      <td>-0.173884</td>\n",
              "      <td>-0.024432</td>\n",
              "      <td>0.126823</td>\n",
              "      <td>-0.146663</td>\n",
              "      <td>0.087687</td>\n",
              "      <td>-0.082982</td>\n",
              "      <td>-0.111908</td>\n",
              "      <td>-0.087379</td>\n",
              "      <td>0.047548</td>\n",
              "      <td>-0.117474</td>\n",
              "      <td>-0.113212</td>\n",
              "      <td>-0.052746</td>\n",
              "      <td>-0.091055</td>\n",
              "      <td>0.112176</td>\n",
              "      <td>-0.046458</td>\n",
              "      <td>-0.076239</td>\n",
              "      <td>-0.197699</td>\n",
              "      <td>0.382177</td>\n",
              "      <td>-0.189432</td>\n",
              "      <td>0.078791</td>\n",
              "      <td>-0.093312</td>\n",
              "      <td>0.135729</td>\n",
              "      <td>-0.188616</td>\n",
              "      <td>-0.606710</td>\n",
              "      <td>0.534425</td>\n",
              "      <td>0.132026</td>\n",
              "      <td>...</td>\n",
              "      <td>0.263569</td>\n",
              "      <td>-0.242638</td>\n",
              "      <td>0.110180</td>\n",
              "      <td>-0.039868</td>\n",
              "      <td>-0.064056</td>\n",
              "      <td>0.193629</td>\n",
              "      <td>0.004470</td>\n",
              "      <td>-0.187085</td>\n",
              "      <td>0.067186</td>\n",
              "      <td>0.006159</td>\n",
              "      <td>-0.201189</td>\n",
              "      <td>-0.243317</td>\n",
              "      <td>0.548903</td>\n",
              "      <td>0.247065</td>\n",
              "      <td>0.085950</td>\n",
              "      <td>0.090544</td>\n",
              "      <td>0.215525</td>\n",
              "      <td>-0.007705</td>\n",
              "      <td>0.236954</td>\n",
              "      <td>0.022785</td>\n",
              "      <td>0.103224</td>\n",
              "      <td>0.048402</td>\n",
              "      <td>0.109367</td>\n",
              "      <td>-0.103262</td>\n",
              "      <td>0.004129</td>\n",
              "      <td>0.066211</td>\n",
              "      <td>0.072773</td>\n",
              "      <td>-0.033051</td>\n",
              "      <td>-0.400643</td>\n",
              "      <td>-0.338978</td>\n",
              "      <td>0.207299</td>\n",
              "      <td>0.009161</td>\n",
              "      <td>0.171027</td>\n",
              "      <td>0.002316</td>\n",
              "      <td>-0.209799</td>\n",
              "      <td>-0.076251</td>\n",
              "      <td>0.134162</td>\n",
              "      <td>-0.128018</td>\n",
              "      <td>-0.219210</td>\n",
              "      <td>0.101524</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.393399</td>\n",
              "      <td>0.812363</td>\n",
              "      <td>1.035731</td>\n",
              "      <td>0.950012</td>\n",
              "      <td>1.032091</td>\n",
              "      <td>1.179388</td>\n",
              "      <td>0.882395</td>\n",
              "      <td>1.125494</td>\n",
              "      <td>1.749885</td>\n",
              "      <td>1.087180</td>\n",
              "      <td>1.291501</td>\n",
              "      <td>1.253604</td>\n",
              "      <td>1.234590</td>\n",
              "      <td>1.273068</td>\n",
              "      <td>1.247178</td>\n",
              "      <td>0.659839</td>\n",
              "      <td>1.418997</td>\n",
              "      <td>1.179688</td>\n",
              "      <td>0.743301</td>\n",
              "      <td>0.844796</td>\n",
              "      <td>1.219529</td>\n",
              "      <td>0.824401</td>\n",
              "      <td>0.924838</td>\n",
              "      <td>0.760159</td>\n",
              "      <td>1.203186</td>\n",
              "      <td>0.866977</td>\n",
              "      <td>1.103765</td>\n",
              "      <td>1.001687</td>\n",
              "      <td>1.027758</td>\n",
              "      <td>1.279399</td>\n",
              "      <td>1.302567</td>\n",
              "      <td>1.559174</td>\n",
              "      <td>0.933514</td>\n",
              "      <td>1.172270</td>\n",
              "      <td>1.174325</td>\n",
              "      <td>1.061719</td>\n",
              "      <td>1.397677</td>\n",
              "      <td>2.200277</td>\n",
              "      <td>2.003317</td>\n",
              "      <td>0.990477</td>\n",
              "      <td>...</td>\n",
              "      <td>1.075809</td>\n",
              "      <td>1.309482</td>\n",
              "      <td>0.881283</td>\n",
              "      <td>0.917119</td>\n",
              "      <td>1.186966</td>\n",
              "      <td>1.212621</td>\n",
              "      <td>1.175611</td>\n",
              "      <td>1.182180</td>\n",
              "      <td>1.057292</td>\n",
              "      <td>0.996940</td>\n",
              "      <td>1.029370</td>\n",
              "      <td>1.378815</td>\n",
              "      <td>2.023791</td>\n",
              "      <td>1.639307</td>\n",
              "      <td>1.238753</td>\n",
              "      <td>0.961212</td>\n",
              "      <td>1.293783</td>\n",
              "      <td>0.966213</td>\n",
              "      <td>1.284074</td>\n",
              "      <td>1.015557</td>\n",
              "      <td>1.035968</td>\n",
              "      <td>1.048645</td>\n",
              "      <td>0.856080</td>\n",
              "      <td>1.175372</td>\n",
              "      <td>0.701031</td>\n",
              "      <td>0.996914</td>\n",
              "      <td>1.077310</td>\n",
              "      <td>1.579948</td>\n",
              "      <td>1.913468</td>\n",
              "      <td>1.701554</td>\n",
              "      <td>1.096488</td>\n",
              "      <td>1.200395</td>\n",
              "      <td>1.357701</td>\n",
              "      <td>1.052771</td>\n",
              "      <td>1.201918</td>\n",
              "      <td>1.115477</td>\n",
              "      <td>0.951264</td>\n",
              "      <td>1.230636</td>\n",
              "      <td>1.326193</td>\n",
              "      <td>1.417674</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-5.513000</td>\n",
              "      <td>-5.737000</td>\n",
              "      <td>-9.104000</td>\n",
              "      <td>-5.998000</td>\n",
              "      <td>-6.369000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-8.337000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-5.870000</td>\n",
              "      <td>-8.587000</td>\n",
              "      <td>-5.018000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-4.226000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-5.700000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-8.272000</td>\n",
              "      <td>-8.184000</td>\n",
              "      <td>-4.835000</td>\n",
              "      <td>-7.913000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-2.956000</td>\n",
              "      <td>-8.356000</td>\n",
              "      <td>-7.182000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.261000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-4.223000</td>\n",
              "      <td>...</td>\n",
              "      <td>-5.504000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-3.790000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-7.920000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.462000</td>\n",
              "      <td>-6.634000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-2.912000</td>\n",
              "      <td>-9.833000</td>\n",
              "      <td>-7.227000</td>\n",
              "      <td>-5.561000</td>\n",
              "      <td>-8.393000</td>\n",
              "      <td>-5.790000</td>\n",
              "      <td>-4.915000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-7.918000</td>\n",
              "      <td>-5.255000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-6.264000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-5.505000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-8.193000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.795000</td>\n",
              "      <td>-8.180000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-4.269000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>-0.473075</td>\n",
              "      <td>-0.562200</td>\n",
              "      <td>-0.437750</td>\n",
              "      <td>-0.429575</td>\n",
              "      <td>-0.470925</td>\n",
              "      <td>-0.602225</td>\n",
              "      <td>-0.493900</td>\n",
              "      <td>-0.525175</td>\n",
              "      <td>-0.511675</td>\n",
              "      <td>-0.360200</td>\n",
              "      <td>-0.511475</td>\n",
              "      <td>-0.489675</td>\n",
              "      <td>-0.447500</td>\n",
              "      <td>-0.481200</td>\n",
              "      <td>-0.607975</td>\n",
              "      <td>-0.404150</td>\n",
              "      <td>-0.391950</td>\n",
              "      <td>-0.513775</td>\n",
              "      <td>-0.272200</td>\n",
              "      <td>-0.488675</td>\n",
              "      <td>-0.524600</td>\n",
              "      <td>-0.538900</td>\n",
              "      <td>-0.440375</td>\n",
              "      <td>-0.508900</td>\n",
              "      <td>-0.533900</td>\n",
              "      <td>-0.497700</td>\n",
              "      <td>-0.512875</td>\n",
              "      <td>-0.467800</td>\n",
              "      <td>-0.378300</td>\n",
              "      <td>-0.505750</td>\n",
              "      <td>-0.457975</td>\n",
              "      <td>-0.328200</td>\n",
              "      <td>-0.600500</td>\n",
              "      <td>-0.478700</td>\n",
              "      <td>-0.570525</td>\n",
              "      <td>-0.481800</td>\n",
              "      <td>-0.541950</td>\n",
              "      <td>-0.604100</td>\n",
              "      <td>-0.470250</td>\n",
              "      <td>-0.401700</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.390700</td>\n",
              "      <td>-0.565075</td>\n",
              "      <td>-0.433275</td>\n",
              "      <td>-0.498650</td>\n",
              "      <td>-0.526300</td>\n",
              "      <td>-0.430750</td>\n",
              "      <td>-0.488775</td>\n",
              "      <td>-0.593125</td>\n",
              "      <td>-0.498275</td>\n",
              "      <td>-0.489800</td>\n",
              "      <td>-0.564100</td>\n",
              "      <td>-0.538000</td>\n",
              "      <td>-0.464000</td>\n",
              "      <td>-0.521975</td>\n",
              "      <td>-0.488600</td>\n",
              "      <td>-0.442925</td>\n",
              "      <td>-0.457200</td>\n",
              "      <td>-0.477900</td>\n",
              "      <td>-0.458175</td>\n",
              "      <td>-0.479075</td>\n",
              "      <td>-0.478825</td>\n",
              "      <td>-0.489300</td>\n",
              "      <td>-0.327500</td>\n",
              "      <td>-0.576775</td>\n",
              "      <td>-0.278275</td>\n",
              "      <td>-0.492700</td>\n",
              "      <td>-0.501575</td>\n",
              "      <td>-0.526450</td>\n",
              "      <td>-0.507375</td>\n",
              "      <td>-0.559175</td>\n",
              "      <td>-0.433875</td>\n",
              "      <td>-0.502250</td>\n",
              "      <td>-0.537075</td>\n",
              "      <td>-0.508775</td>\n",
              "      <td>-0.606175</td>\n",
              "      <td>-0.506200</td>\n",
              "      <td>-0.353100</td>\n",
              "      <td>-0.544600</td>\n",
              "      <td>-0.554400</td>\n",
              "      <td>-0.523800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>-0.008850</td>\n",
              "      <td>-0.046600</td>\n",
              "      <td>0.075200</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.026900</td>\n",
              "      <td>-0.015650</td>\n",
              "      <td>-0.000650</td>\n",
              "      <td>-0.017900</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.160450</td>\n",
              "      <td>0.038550</td>\n",
              "      <td>0.013800</td>\n",
              "      <td>0.060250</td>\n",
              "      <td>0.009800</td>\n",
              "      <td>-0.030100</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.149400</td>\n",
              "      <td>-0.002200</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-0.027800</td>\n",
              "      <td>-0.002800</td>\n",
              "      <td>-0.069350</td>\n",
              "      <td>-0.011800</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.018300</td>\n",
              "      <td>-0.011650</td>\n",
              "      <td>0.016100</td>\n",
              "      <td>0.037600</td>\n",
              "      <td>0.003750</td>\n",
              "      <td>0.021750</td>\n",
              "      <td>0.027000</td>\n",
              "      <td>0.019100</td>\n",
              "      <td>-0.054000</td>\n",
              "      <td>0.023350</td>\n",
              "      <td>0.003350</td>\n",
              "      <td>-0.000600</td>\n",
              "      <td>0.015350</td>\n",
              "      <td>-0.000700</td>\n",
              "      <td>0.005800</td>\n",
              "      <td>0.007400</td>\n",
              "      <td>...</td>\n",
              "      <td>0.065650</td>\n",
              "      <td>-0.014100</td>\n",
              "      <td>0.030850</td>\n",
              "      <td>-0.001800</td>\n",
              "      <td>-0.008400</td>\n",
              "      <td>0.101400</td>\n",
              "      <td>0.033400</td>\n",
              "      <td>-0.001600</td>\n",
              "      <td>0.000850</td>\n",
              "      <td>0.014800</td>\n",
              "      <td>-0.044000</td>\n",
              "      <td>0.017400</td>\n",
              "      <td>0.000850</td>\n",
              "      <td>-0.015550</td>\n",
              "      <td>0.025350</td>\n",
              "      <td>0.017750</td>\n",
              "      <td>0.053450</td>\n",
              "      <td>0.027700</td>\n",
              "      <td>-0.002100</td>\n",
              "      <td>0.009500</td>\n",
              "      <td>-0.004450</td>\n",
              "      <td>-0.000050</td>\n",
              "      <td>0.002400</td>\n",
              "      <td>0.024250</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.005300</td>\n",
              "      <td>0.013600</td>\n",
              "      <td>0.001350</td>\n",
              "      <td>0.007350</td>\n",
              "      <td>0.038700</td>\n",
              "      <td>0.059600</td>\n",
              "      <td>-0.005900</td>\n",
              "      <td>-0.013600</td>\n",
              "      <td>-0.027700</td>\n",
              "      <td>-0.011850</td>\n",
              "      <td>0.009900</td>\n",
              "      <td>0.005400</td>\n",
              "      <td>0.000600</td>\n",
              "      <td>0.028700</td>\n",
              "      <td>-0.006500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>0.525700</td>\n",
              "      <td>0.403075</td>\n",
              "      <td>0.663925</td>\n",
              "      <td>0.463400</td>\n",
              "      <td>0.465375</td>\n",
              "      <td>0.510425</td>\n",
              "      <td>0.528725</td>\n",
              "      <td>0.411900</td>\n",
              "      <td>0.549225</td>\n",
              "      <td>0.697775</td>\n",
              "      <td>0.525400</td>\n",
              "      <td>0.575275</td>\n",
              "      <td>0.604450</td>\n",
              "      <td>0.575825</td>\n",
              "      <td>0.457975</td>\n",
              "      <td>0.382475</td>\n",
              "      <td>0.829500</td>\n",
              "      <td>0.494775</td>\n",
              "      <td>0.327800</td>\n",
              "      <td>0.400600</td>\n",
              "      <td>0.492400</td>\n",
              "      <td>0.414875</td>\n",
              "      <td>0.433400</td>\n",
              "      <td>0.329250</td>\n",
              "      <td>0.527700</td>\n",
              "      <td>0.461650</td>\n",
              "      <td>0.508425</td>\n",
              "      <td>0.586450</td>\n",
              "      <td>0.431275</td>\n",
              "      <td>0.507600</td>\n",
              "      <td>0.458075</td>\n",
              "      <td>0.471075</td>\n",
              "      <td>0.391950</td>\n",
              "      <td>0.551300</td>\n",
              "      <td>0.503725</td>\n",
              "      <td>0.564875</td>\n",
              "      <td>0.517025</td>\n",
              "      <td>0.460500</td>\n",
              "      <td>0.642300</td>\n",
              "      <td>0.439400</td>\n",
              "      <td>...</td>\n",
              "      <td>0.646900</td>\n",
              "      <td>0.467900</td>\n",
              "      <td>0.543400</td>\n",
              "      <td>0.477200</td>\n",
              "      <td>0.497400</td>\n",
              "      <td>0.846400</td>\n",
              "      <td>0.573875</td>\n",
              "      <td>0.501675</td>\n",
              "      <td>0.519825</td>\n",
              "      <td>0.515000</td>\n",
              "      <td>0.412375</td>\n",
              "      <td>0.479400</td>\n",
              "      <td>0.646325</td>\n",
              "      <td>0.565200</td>\n",
              "      <td>0.610075</td>\n",
              "      <td>0.506975</td>\n",
              "      <td>0.671725</td>\n",
              "      <td>0.514175</td>\n",
              "      <td>0.524175</td>\n",
              "      <td>0.501325</td>\n",
              "      <td>0.516975</td>\n",
              "      <td>0.517475</td>\n",
              "      <td>0.375275</td>\n",
              "      <td>0.572250</td>\n",
              "      <td>0.251600</td>\n",
              "      <td>0.540950</td>\n",
              "      <td>0.530900</td>\n",
              "      <td>0.527900</td>\n",
              "      <td>0.475275</td>\n",
              "      <td>0.522075</td>\n",
              "      <td>0.648500</td>\n",
              "      <td>0.492150</td>\n",
              "      <td>0.522500</td>\n",
              "      <td>0.457000</td>\n",
              "      <td>0.483000</td>\n",
              "      <td>0.511175</td>\n",
              "      <td>0.409075</td>\n",
              "      <td>0.498500</td>\n",
              "      <td>0.496400</td>\n",
              "      <td>0.536950</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.039000</td>\n",
              "      <td>8.257000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>7.282000</td>\n",
              "      <td>7.333000</td>\n",
              "      <td>5.473000</td>\n",
              "      <td>8.887000</td>\n",
              "      <td>6.433000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>4.134000</td>\n",
              "      <td>6.418000</td>\n",
              "      <td>4.750000</td>\n",
              "      <td>8.872000</td>\n",
              "      <td>4.081000</td>\n",
              "      <td>9.842000</td>\n",
              "      <td>5.248000</td>\n",
              "      <td>5.942000</td>\n",
              "      <td>5.201000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>8.494000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>9.416000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>6.796000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.834000</td>\n",
              "      <td>5.602000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.444000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>4.889000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>7.635000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>6.664000</td>\n",
              "      <td>9.566000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>3.497000</td>\n",
              "      <td>6.911000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.323000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>6.533000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>4.008000</td>\n",
              "      <td>5.900000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>9.552000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>8.346000</td>\n",
              "      <td>5.444000</td>\n",
              "      <td>6.317000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.911000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 772 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                g-0           g-1  ...         g-770         g-771\n",
              "count  23814.000000  23814.000000  ...  23814.000000  23814.000000\n",
              "mean       0.248366     -0.095684  ...     -0.219210      0.101524\n",
              "std        1.393399      0.812363  ...      1.326193      1.417674\n",
              "min       -5.513000     -5.737000  ...    -10.000000    -10.000000\n",
              "25%       -0.473075     -0.562200  ...     -0.554400     -0.523800\n",
              "50%       -0.008850     -0.046600  ...      0.028700     -0.006500\n",
              "75%        0.525700      0.403075  ...      0.496400      0.536950\n",
              "max       10.000000      5.039000  ...     10.000000     10.000000\n",
              "\n",
              "[8 rows x 772 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "3sUuOvEy4FVq",
        "outputId": "e2c68d57-8b37-4312-c889-d2c755c0debd"
      },
      "source": [
        "#Faz a função transposta dados.loc[:,'g-0':'g-771'].describe().T\n",
        "#Histograma das médias de g-0 a g-771\n",
        "dados.loc[:,'g-0':'g-771'].describe().T['mean'].hist(bins = 30)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fad5e84c9d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        },
        {
          "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": "uqKz05gi5D9F",
        "outputId": "b0bd2eb2-ae11-4def-c42e-9d98c573d6e2"
      },
      "source": [
        "#Fazendo o mesmo raciocínio para os itens de c-0 a c-99\n",
        "dados.loc[:,'c-0':'c-99'].describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>c-0</th>\n",
              "      <th>c-1</th>\n",
              "      <th>c-2</th>\n",
              "      <th>c-3</th>\n",
              "      <th>c-4</th>\n",
              "      <th>c-5</th>\n",
              "      <th>c-6</th>\n",
              "      <th>c-7</th>\n",
              "      <th>c-8</th>\n",
              "      <th>c-9</th>\n",
              "      <th>c-10</th>\n",
              "      <th>c-11</th>\n",
              "      <th>c-12</th>\n",
              "      <th>c-13</th>\n",
              "      <th>c-14</th>\n",
              "      <th>c-15</th>\n",
              "      <th>c-16</th>\n",
              "      <th>c-17</th>\n",
              "      <th>c-18</th>\n",
              "      <th>c-19</th>\n",
              "      <th>c-20</th>\n",
              "      <th>c-21</th>\n",
              "      <th>c-22</th>\n",
              "      <th>c-23</th>\n",
              "      <th>c-24</th>\n",
              "      <th>c-25</th>\n",
              "      <th>c-26</th>\n",
              "      <th>c-27</th>\n",
              "      <th>c-28</th>\n",
              "      <th>c-29</th>\n",
              "      <th>c-30</th>\n",
              "      <th>c-31</th>\n",
              "      <th>c-32</th>\n",
              "      <th>c-33</th>\n",
              "      <th>c-34</th>\n",
              "      <th>c-35</th>\n",
              "      <th>c-36</th>\n",
              "      <th>c-37</th>\n",
              "      <th>c-38</th>\n",
              "      <th>c-39</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>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": [
              "                c-0           c-1  ...          c-98          c-99\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": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "EX87gPnp5Pns",
        "outputId": "ddd0b5c6-af3e-4a53-abca-fd839420487e"
      },
      "source": [
        "dados.loc[:,'c-0':'c-99'].describe().T['mean'].hist(bins = 30)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fad5e6c0cd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        },
        {
          "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": "ofOr14dn5jOq",
        "outputId": "9df6487f-e008-4710-be5e-7fc05fb94c7c"
      },
      "source": [
        "#Avançando, seguindo sobre o uso do seaborn para boxplot\n",
        "sns.boxplot(x='g-0', data=dados)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fad5e317e90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        },
        {
          "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": 629
        },
        "id": "STTpwYHP52WW",
        "outputId": "6402b8ef-b757-4908-e0b4-9f5bde54b019"
      },
      "source": [
        "#Inserindo mais informações, com drogas ou com controle.\n",
        "plt.figure(figsize=(10,10))\n",
        "sns.boxplot(y='g-0', x= 'tratamento', data=dados)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fad5e41c890>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cIkvzdaJxsYE"
      },
      "source": [
        "###Desafio 01: Ordenar o gráfico countplot."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vHUFiYxkDR6G"
      },
      "source": [
        "#Primeiramente revisando o gráfico inicial.\n",
        "sns.set() #Deixa um aspecto mais elegante.\n",
        "plt.figure(figsize=(10, 8)) #Aumentar a imagem.\n",
        "ax = sns.countplot(x = 'composto', data = dados.query('composto in @cod_compostos'))\n",
        "ax.set_title ('Top 5 Compostos',size = 20)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 523
        },
        "id": "ARK9PnmBDiY3",
        "outputId": "845fd050-0949-468f-a91f-e9e874df4db2"
      },
      "source": [
        "#Então realizando a atualização pelo uso do order.\n",
        "sns.set() #Deixa um aspecto mais elegante.\n",
        "plt.figure(figsize=(10, 8)) #Aumentar a imagem.\n",
        "ax = sns.countplot(x = 'composto', data = dados.query('composto in @cod_compostos'), order = cod_compostos)\n",
        "ax.set_title ('Top 5 Compostos',size = 20)\n",
        "plt.show()"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3sTjFLOMy1JR"
      },
      "source": [
        "###Desafio 02: Melhorar a visualização alterando o tamanho da fonte."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 524
        },
        "id": "Xjsx-X8dDs4D",
        "outputId": "70b5aab8-e048-4008-f7a4-e64272ee0830"
      },
      "source": [
        "#Seguindo o último passo do desafio anterior, realizando alterações para uma aparência mais organizada, temos:\n",
        "sns.set() \n",
        "\n",
        "plt.figure(figsize=(10, 8)) #Aumentar a imagem.\n",
        "ax = sns.countplot(x = 'composto', data = dados.query('composto in @cod_compostos'), order = cod_compostos)\n",
        "ax.set_title ('Top 5 Compostos',size = 20)\n",
        "ax.set_ylabel('Contagem', size = 16)\n",
        "ax.set_xlabel('Composto', size = 14)\n",
        "plt.show()"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cQluE5t54z7a"
      },
      "source": [
        "###Desafio 03: Plotar o histograma com o seaborn"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "Z_NT3qr5EQQU",
        "outputId": "aec1421e-b312-4ad1-8087-6cf08cc7b8c9"
      },
      "source": [
        "#De forma similar, recapitulando pelo matplotlib.\n",
        "dados['g-0'].hist(bins = 100)"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fad5ded1a90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 50
        },
        {
          "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": "xsKd0oEgEbhU",
        "outputId": "6d513d8a-ff56-4b31-8189-c0be725edf10"
      },
      "source": [
        "#Agora realizando o mesmo histograma com o seaborn\n",
        "sns.histplot(data=dados['g-0'],bins=100) # Versão com o Seaborn"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fad5df693d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        },
        {
          "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": 957
        },
        "id": "2aMdGNneJaH4",
        "outputId": "20391e58-d9b8-48b8-d134-95ce0e660f81"
      },
      "source": [
        "#Uma possibilidade extra é fazer uso de um traçado afim de visualizar melhor a curva dessa distribuição.\n",
        "plt.figure(figsize = (20,16))\n",
        "sns.histplot(data=dados['g-0'],bins=100, kde = True) \n",
        "plt.show()"
      ],
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1152 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y0AJXN8UKJ_U"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3fiS3xmn49Nl"
      },
      "source": [
        "###Desafio 04: Estudar sobre estatísticas retornadas no `.describe`"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 346
        },
        "id": "LTM9nrcJHzUf",
        "outputId": "083cf071-a07d-498b-b214-1808308a7c48"
      },
      "source": [
        "#Primeiramente, retomar o describe.\n",
        "dados.describe()"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>tempo</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>g-35</th>\n",
              "      <th>g-36</th>\n",
              "      <th>g-37</th>\n",
              "      <th>g-38</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "      <td>23814.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>48.020156</td>\n",
              "      <td>0.248366</td>\n",
              "      <td>-0.095684</td>\n",
              "      <td>0.152253</td>\n",
              "      <td>0.081971</td>\n",
              "      <td>0.057347</td>\n",
              "      <td>-0.138836</td>\n",
              "      <td>0.035961</td>\n",
              "      <td>-0.202651</td>\n",
              "      <td>-0.190083</td>\n",
              "      <td>0.119905</td>\n",
              "      <td>-0.123321</td>\n",
              "      <td>0.182307</td>\n",
              "      <td>0.143203</td>\n",
              "      <td>0.209402</td>\n",
              "      <td>-0.173884</td>\n",
              "      <td>-0.024432</td>\n",
              "      <td>0.126823</td>\n",
              "      <td>-0.146663</td>\n",
              "      <td>0.087687</td>\n",
              "      <td>-0.082982</td>\n",
              "      <td>-0.111908</td>\n",
              "      <td>-0.087379</td>\n",
              "      <td>0.047548</td>\n",
              "      <td>-0.117474</td>\n",
              "      <td>-0.113212</td>\n",
              "      <td>-0.052746</td>\n",
              "      <td>-0.091055</td>\n",
              "      <td>0.112176</td>\n",
              "      <td>-0.046458</td>\n",
              "      <td>-0.076239</td>\n",
              "      <td>-0.197699</td>\n",
              "      <td>0.382177</td>\n",
              "      <td>-0.189432</td>\n",
              "      <td>0.078791</td>\n",
              "      <td>-0.093312</td>\n",
              "      <td>0.135729</td>\n",
              "      <td>-0.188616</td>\n",
              "      <td>-0.606710</td>\n",
              "      <td>0.534425</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.517397</td>\n",
              "      <td>-0.360770</td>\n",
              "      <td>-0.435752</td>\n",
              "      <td>-0.613591</td>\n",
              "      <td>-0.402083</td>\n",
              "      <td>-0.619682</td>\n",
              "      <td>-0.452265</td>\n",
              "      <td>-0.497164</td>\n",
              "      <td>-0.413836</td>\n",
              "      <td>-0.277029</td>\n",
              "      <td>-0.547845</td>\n",
              "      <td>-0.358611</td>\n",
              "      <td>-0.442906</td>\n",
              "      <td>-0.475194</td>\n",
              "      <td>-0.010404</td>\n",
              "      <td>-0.467001</td>\n",
              "      <td>-0.276963</td>\n",
              "      <td>-0.455848</td>\n",
              "      <td>-0.412918</td>\n",
              "      <td>-0.456404</td>\n",
              "      <td>-0.472514</td>\n",
              "      <td>-0.505481</td>\n",
              "      <td>-0.492735</td>\n",
              "      <td>-0.446836</td>\n",
              "      <td>-0.463029</td>\n",
              "      <td>-0.409310</td>\n",
              "      <td>-0.333124</td>\n",
              "      <td>-0.295009</td>\n",
              "      <td>-0.328342</td>\n",
              "      <td>-0.401615</td>\n",
              "      <td>-0.469244</td>\n",
              "      <td>-0.461411</td>\n",
              "      <td>-0.513256</td>\n",
              "      <td>-0.500142</td>\n",
              "      <td>-0.507093</td>\n",
              "      <td>-0.353726</td>\n",
              "      <td>-0.463485</td>\n",
              "      <td>-0.378241</td>\n",
              "      <td>-0.470252</td>\n",
              "      <td>-0.301505</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>19.402807</td>\n",
              "      <td>1.393399</td>\n",
              "      <td>0.812363</td>\n",
              "      <td>1.035731</td>\n",
              "      <td>0.950012</td>\n",
              "      <td>1.032091</td>\n",
              "      <td>1.179388</td>\n",
              "      <td>0.882395</td>\n",
              "      <td>1.125494</td>\n",
              "      <td>1.749885</td>\n",
              "      <td>1.087180</td>\n",
              "      <td>1.291501</td>\n",
              "      <td>1.253604</td>\n",
              "      <td>1.234590</td>\n",
              "      <td>1.273068</td>\n",
              "      <td>1.247178</td>\n",
              "      <td>0.659839</td>\n",
              "      <td>1.418997</td>\n",
              "      <td>1.179688</td>\n",
              "      <td>0.743301</td>\n",
              "      <td>0.844796</td>\n",
              "      <td>1.219529</td>\n",
              "      <td>0.824401</td>\n",
              "      <td>0.924838</td>\n",
              "      <td>0.760159</td>\n",
              "      <td>1.203186</td>\n",
              "      <td>0.866977</td>\n",
              "      <td>1.103765</td>\n",
              "      <td>1.001687</td>\n",
              "      <td>1.027758</td>\n",
              "      <td>1.279399</td>\n",
              "      <td>1.302567</td>\n",
              "      <td>1.559174</td>\n",
              "      <td>0.933514</td>\n",
              "      <td>1.172270</td>\n",
              "      <td>1.174325</td>\n",
              "      <td>1.061719</td>\n",
              "      <td>1.397677</td>\n",
              "      <td>2.200277</td>\n",
              "      <td>2.003317</td>\n",
              "      <td>...</td>\n",
              "      <td>2.122318</td>\n",
              "      <td>1.710725</td>\n",
              "      <td>1.898871</td>\n",
              "      <td>2.307820</td>\n",
              "      <td>1.785055</td>\n",
              "      <td>2.225596</td>\n",
              "      <td>1.991021</td>\n",
              "      <td>2.063896</td>\n",
              "      <td>1.887001</td>\n",
              "      <td>1.459639</td>\n",
              "      <td>2.187835</td>\n",
              "      <td>1.730634</td>\n",
              "      <td>1.924716</td>\n",
              "      <td>2.021927</td>\n",
              "      <td>1.029820</td>\n",
              "      <td>2.004317</td>\n",
              "      <td>1.429340</td>\n",
              "      <td>1.924263</td>\n",
              "      <td>1.888788</td>\n",
              "      <td>1.832863</td>\n",
              "      <td>2.011396</td>\n",
              "      <td>2.091353</td>\n",
              "      <td>2.055624</td>\n",
              "      <td>1.987476</td>\n",
              "      <td>2.014045</td>\n",
              "      <td>1.883974</td>\n",
              "      <td>1.647241</td>\n",
              "      <td>1.634073</td>\n",
              "      <td>1.663170</td>\n",
              "      <td>1.832794</td>\n",
              "      <td>2.000488</td>\n",
              "      <td>2.042475</td>\n",
              "      <td>2.001714</td>\n",
              "      <td>2.107105</td>\n",
              "      <td>2.159589</td>\n",
              "      <td>1.629291</td>\n",
              "      <td>2.059725</td>\n",
              "      <td>1.703615</td>\n",
              "      <td>1.834828</td>\n",
              "      <td>1.407918</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>24.000000</td>\n",
              "      <td>-5.513000</td>\n",
              "      <td>-5.737000</td>\n",
              "      <td>-9.104000</td>\n",
              "      <td>-5.998000</td>\n",
              "      <td>-6.369000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-8.337000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-5.870000</td>\n",
              "      <td>-8.587000</td>\n",
              "      <td>-5.018000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-4.226000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-5.700000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-8.272000</td>\n",
              "      <td>-8.184000</td>\n",
              "      <td>-4.835000</td>\n",
              "      <td>-7.913000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-2.956000</td>\n",
              "      <td>-8.356000</td>\n",
              "      <td>-7.182000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.261000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.839000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-6.452000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-9.938000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "      <td>-10.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>24.000000</td>\n",
              "      <td>-0.473075</td>\n",
              "      <td>-0.562200</td>\n",
              "      <td>-0.437750</td>\n",
              "      <td>-0.429575</td>\n",
              "      <td>-0.470925</td>\n",
              "      <td>-0.602225</td>\n",
              "      <td>-0.493900</td>\n",
              "      <td>-0.525175</td>\n",
              "      <td>-0.511675</td>\n",
              "      <td>-0.360200</td>\n",
              "      <td>-0.511475</td>\n",
              "      <td>-0.489675</td>\n",
              "      <td>-0.447500</td>\n",
              "      <td>-0.481200</td>\n",
              "      <td>-0.607975</td>\n",
              "      <td>-0.404150</td>\n",
              "      <td>-0.391950</td>\n",
              "      <td>-0.513775</td>\n",
              "      <td>-0.272200</td>\n",
              "      <td>-0.488675</td>\n",
              "      <td>-0.524600</td>\n",
              "      <td>-0.538900</td>\n",
              "      <td>-0.440375</td>\n",
              "      <td>-0.508900</td>\n",
              "      <td>-0.533900</td>\n",
              "      <td>-0.497700</td>\n",
              "      <td>-0.512875</td>\n",
              "      <td>-0.467800</td>\n",
              "      <td>-0.378300</td>\n",
              "      <td>-0.505750</td>\n",
              "      <td>-0.457975</td>\n",
              "      <td>-0.328200</td>\n",
              "      <td>-0.600500</td>\n",
              "      <td>-0.478700</td>\n",
              "      <td>-0.570525</td>\n",
              "      <td>-0.481800</td>\n",
              "      <td>-0.541950</td>\n",
              "      <td>-0.604100</td>\n",
              "      <td>-0.470250</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.588075</td>\n",
              "      <td>-0.564025</td>\n",
              "      <td>-0.561000</td>\n",
              "      <td>-0.583250</td>\n",
              "      <td>-0.566500</td>\n",
              "      <td>-0.603200</td>\n",
              "      <td>-0.541575</td>\n",
              "      <td>-0.560825</td>\n",
              "      <td>-0.555200</td>\n",
              "      <td>-0.534500</td>\n",
              "      <td>-0.569100</td>\n",
              "      <td>-0.558300</td>\n",
              "      <td>-0.573350</td>\n",
              "      <td>-0.594275</td>\n",
              "      <td>-0.389925</td>\n",
              "      <td>-0.551200</td>\n",
              "      <td>-0.544150</td>\n",
              "      <td>-0.575075</td>\n",
              "      <td>-0.568275</td>\n",
              "      <td>-0.582650</td>\n",
              "      <td>-0.558575</td>\n",
              "      <td>-0.562375</td>\n",
              "      <td>-0.572800</td>\n",
              "      <td>-0.561225</td>\n",
              "      <td>-0.560675</td>\n",
              "      <td>-0.560100</td>\n",
              "      <td>-0.533700</td>\n",
              "      <td>-0.504575</td>\n",
              "      <td>-0.544275</td>\n",
              "      <td>-0.569150</td>\n",
              "      <td>-0.566175</td>\n",
              "      <td>-0.565975</td>\n",
              "      <td>-0.589975</td>\n",
              "      <td>-0.568700</td>\n",
              "      <td>-0.563775</td>\n",
              "      <td>-0.567975</td>\n",
              "      <td>-0.552575</td>\n",
              "      <td>-0.561000</td>\n",
              "      <td>-0.592600</td>\n",
              "      <td>-0.562900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>48.000000</td>\n",
              "      <td>-0.008850</td>\n",
              "      <td>-0.046600</td>\n",
              "      <td>0.075200</td>\n",
              "      <td>0.008050</td>\n",
              "      <td>-0.026900</td>\n",
              "      <td>-0.015650</td>\n",
              "      <td>-0.000650</td>\n",
              "      <td>-0.017900</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.160450</td>\n",
              "      <td>0.038550</td>\n",
              "      <td>0.013800</td>\n",
              "      <td>0.060250</td>\n",
              "      <td>0.009800</td>\n",
              "      <td>-0.030100</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.149400</td>\n",
              "      <td>-0.002200</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-0.027800</td>\n",
              "      <td>-0.002800</td>\n",
              "      <td>-0.069350</td>\n",
              "      <td>-0.011800</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.018300</td>\n",
              "      <td>-0.011650</td>\n",
              "      <td>0.016100</td>\n",
              "      <td>0.037600</td>\n",
              "      <td>0.003750</td>\n",
              "      <td>0.021750</td>\n",
              "      <td>0.027000</td>\n",
              "      <td>0.019100</td>\n",
              "      <td>-0.054000</td>\n",
              "      <td>0.023350</td>\n",
              "      <td>0.003350</td>\n",
              "      <td>-0.000600</td>\n",
              "      <td>0.015350</td>\n",
              "      <td>-0.000700</td>\n",
              "      <td>0.005800</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.017650</td>\n",
              "      <td>-0.041550</td>\n",
              "      <td>-0.002950</td>\n",
              "      <td>-0.012650</td>\n",
              "      <td>-0.005600</td>\n",
              "      <td>0.007650</td>\n",
              "      <td>0.004950</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-0.023800</td>\n",
              "      <td>-0.011450</td>\n",
              "      <td>-0.007100</td>\n",
              "      <td>-0.019500</td>\n",
              "      <td>-0.019500</td>\n",
              "      <td>-0.009300</td>\n",
              "      <td>0.081550</td>\n",
              "      <td>-0.006900</td>\n",
              "      <td>0.018400</td>\n",
              "      <td>-0.014650</td>\n",
              "      <td>-0.014350</td>\n",
              "      <td>0.005300</td>\n",
              "      <td>-0.005300</td>\n",
              "      <td>-0.004050</td>\n",
              "      <td>0.003300</td>\n",
              "      <td>-0.007900</td>\n",
              "      <td>-0.004600</td>\n",
              "      <td>-0.002400</td>\n",
              "      <td>0.007850</td>\n",
              "      <td>-0.005600</td>\n",
              "      <td>-0.020600</td>\n",
              "      <td>-0.030000</td>\n",
              "      <td>-0.009900</td>\n",
              "      <td>0.003250</td>\n",
              "      <td>-0.009100</td>\n",
              "      <td>-0.013750</td>\n",
              "      <td>-0.003300</td>\n",
              "      <td>-0.010250</td>\n",
              "      <td>-0.001250</td>\n",
              "      <td>-0.006800</td>\n",
              "      <td>0.014000</td>\n",
              "      <td>-0.019500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>72.000000</td>\n",
              "      <td>0.525700</td>\n",
              "      <td>0.403075</td>\n",
              "      <td>0.663925</td>\n",
              "      <td>0.463400</td>\n",
              "      <td>0.465375</td>\n",
              "      <td>0.510425</td>\n",
              "      <td>0.528725</td>\n",
              "      <td>0.411900</td>\n",
              "      <td>0.549225</td>\n",
              "      <td>0.697775</td>\n",
              "      <td>0.525400</td>\n",
              "      <td>0.575275</td>\n",
              "      <td>0.604450</td>\n",
              "      <td>0.575825</td>\n",
              "      <td>0.457975</td>\n",
              "      <td>0.382475</td>\n",
              "      <td>0.829500</td>\n",
              "      <td>0.494775</td>\n",
              "      <td>0.327800</td>\n",
              "      <td>0.400600</td>\n",
              "      <td>0.492400</td>\n",
              "      <td>0.414875</td>\n",
              "      <td>0.433400</td>\n",
              "      <td>0.329250</td>\n",
              "      <td>0.527700</td>\n",
              "      <td>0.461650</td>\n",
              "      <td>0.508425</td>\n",
              "      <td>0.586450</td>\n",
              "      <td>0.431275</td>\n",
              "      <td>0.507600</td>\n",
              "      <td>0.458075</td>\n",
              "      <td>0.471075</td>\n",
              "      <td>0.391950</td>\n",
              "      <td>0.551300</td>\n",
              "      <td>0.503725</td>\n",
              "      <td>0.564875</td>\n",
              "      <td>0.517025</td>\n",
              "      <td>0.460500</td>\n",
              "      <td>0.642300</td>\n",
              "      <td>...</td>\n",
              "      <td>0.452675</td>\n",
              "      <td>0.427675</td>\n",
              "      <td>0.462175</td>\n",
              "      <td>0.447975</td>\n",
              "      <td>0.447150</td>\n",
              "      <td>0.441250</td>\n",
              "      <td>0.470600</td>\n",
              "      <td>0.458550</td>\n",
              "      <td>0.441000</td>\n",
              "      <td>0.460075</td>\n",
              "      <td>0.460950</td>\n",
              "      <td>0.449975</td>\n",
              "      <td>0.445200</td>\n",
              "      <td>0.473200</td>\n",
              "      <td>0.563575</td>\n",
              "      <td>0.456350</td>\n",
              "      <td>0.493400</td>\n",
              "      <td>0.448375</td>\n",
              "      <td>0.451975</td>\n",
              "      <td>0.463075</td>\n",
              "      <td>0.447675</td>\n",
              "      <td>0.462000</td>\n",
              "      <td>0.468900</td>\n",
              "      <td>0.452375</td>\n",
              "      <td>0.460475</td>\n",
              "      <td>0.461675</td>\n",
              "      <td>0.465950</td>\n",
              "      <td>0.463400</td>\n",
              "      <td>0.450075</td>\n",
              "      <td>0.430875</td>\n",
              "      <td>0.457750</td>\n",
              "      <td>0.461500</td>\n",
              "      <td>0.445675</td>\n",
              "      <td>0.452900</td>\n",
              "      <td>0.470900</td>\n",
              "      <td>0.444750</td>\n",
              "      <td>0.465225</td>\n",
              "      <td>0.446400</td>\n",
              "      <td>0.461275</td>\n",
              "      <td>0.438650</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>72.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.039000</td>\n",
              "      <td>8.257000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>7.282000</td>\n",
              "      <td>7.333000</td>\n",
              "      <td>5.473000</td>\n",
              "      <td>8.887000</td>\n",
              "      <td>6.433000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>4.134000</td>\n",
              "      <td>6.418000</td>\n",
              "      <td>4.750000</td>\n",
              "      <td>8.872000</td>\n",
              "      <td>4.081000</td>\n",
              "      <td>9.842000</td>\n",
              "      <td>5.248000</td>\n",
              "      <td>5.942000</td>\n",
              "      <td>5.201000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>8.494000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>9.416000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>6.796000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>5.834000</td>\n",
              "      <td>5.602000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>3.888000</td>\n",
              "      <td>3.596000</td>\n",
              "      <td>4.857000</td>\n",
              "      <td>3.549000</td>\n",
              "      <td>3.382000</td>\n",
              "      <td>3.328000</td>\n",
              "      <td>4.157000</td>\n",
              "      <td>3.736000</td>\n",
              "      <td>3.582000</td>\n",
              "      <td>3.119000</td>\n",
              "      <td>3.323000</td>\n",
              "      <td>5.014000</td>\n",
              "      <td>2.898000</td>\n",
              "      <td>4.185000</td>\n",
              "      <td>3.170000</td>\n",
              "      <td>3.276000</td>\n",
              "      <td>4.992000</td>\n",
              "      <td>3.770000</td>\n",
              "      <td>2.851000</td>\n",
              "      <td>3.211000</td>\n",
              "      <td>4.534000</td>\n",
              "      <td>3.890000</td>\n",
              "      <td>3.994000</td>\n",
              "      <td>4.321000</td>\n",
              "      <td>4.020000</td>\n",
              "      <td>3.738000</td>\n",
              "      <td>3.252000</td>\n",
              "      <td>5.406000</td>\n",
              "      <td>3.110000</td>\n",
              "      <td>3.320000</td>\n",
              "      <td>4.069000</td>\n",
              "      <td>3.960000</td>\n",
              "      <td>3.927000</td>\n",
              "      <td>3.596000</td>\n",
              "      <td>3.747000</td>\n",
              "      <td>2.814000</td>\n",
              "      <td>3.505000</td>\n",
              "      <td>2.924000</td>\n",
              "      <td>3.111000</td>\n",
              "      <td>3.805000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 873 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "              tempo           g-0  ...          c-98          c-99\n",
              "count  23814.000000  23814.000000  ...  23814.000000  23814.000000\n",
              "mean      48.020156      0.248366  ...     -0.470252     -0.301505\n",
              "std       19.402807      1.393399  ...      1.834828      1.407918\n",
              "min       24.000000     -5.513000  ...    -10.000000    -10.000000\n",
              "25%       24.000000     -0.473075  ...     -0.592600     -0.562900\n",
              "50%       48.000000     -0.008850  ...      0.014000     -0.019500\n",
              "75%       72.000000      0.525700  ...      0.461275      0.438650\n",
              "max       72.000000     10.000000  ...      3.111000      3.805000\n",
              "\n",
              "[8 rows x 873 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hm2JsQ9ZE8OZ"
      },
      "source": [
        "Na ordem, temos:\n",
        "\n",
        "1.   Quantidade de elementos não-NaN da série \n",
        "2.   Média dos valores\n",
        "3.   Desvio padrão, raiz quadrada da variância\n",
        "4.   Valor Mínimo da Série\n",
        "5.   Elemento do Primeiro Quartil\n",
        "6.   Elemento do Segundo Quartil (ou mediana)\n",
        "7.   Elemento do Terceiro Quartil \n",
        "8. Valor Máximo da Série\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QpPRYVEr6bpB"
      },
      "source": [
        "###Desafio 05: Refletir sobre a manipulação do tamanho das visualizações.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1M_K4tklJFun"
      },
      "source": [
        "Em suma, a informação deve ser de fácil leitura e interpretação. Um dado oculto, um gráfico com dimensioamento ruim, uma escala desproporcional... todos estes fatores podem afetar negativamente a interpretação, prejudicando a tomada de decisão e análises necessárias. Até mesmo a escolha do tipo de visualização é relevante. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-F6CDpmq6mSx"
      },
      "source": [
        "###Desafio 06: Fazer outras análises com o boxplot e com o histograma."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 303
        },
        "id": "W854--U7LZ4q",
        "outputId": "ef2187d5-1179-456e-c6da-0495693a5902"
      },
      "source": [
        "#Primeiramente as análises com boxplot.\n",
        "#Análise do gene 0 com uso do tratamento ou não\n",
        "sns.boxplot(y='g-0', x='tratamento', data=dados)"
      ],
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fad52ed60d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        },
        {
          "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": "-JWMZuSrNcUC",
        "outputId": "6248a235-6b9d-4da6-ec8b-6a52d36085ad"
      },
      "source": [
        "#Análise do gene 0 de acordo com o tempo\n",
        "sns.boxplot(y='g-0', x='tempo', data=dados)"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fad5e0a0190>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 60
        },
        {
          "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": 611
        },
        "id": "kDVriyaPONWq",
        "outputId": "1d6a625b-f61e-4bcf-e04f-fb5205146308"
      },
      "source": [
        "#Prosseguindo analisando histogramas\n",
        "plt.figure(figsize=(14,10))\n",
        "sns.histplot(data=dados, x='g-0', bins=100, hue = 'tratamento')\n",
        "plt.show()"
      ],
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 611
        },
        "id": "svxKPl9xSCa0",
        "outputId": "11fd3b5d-b9ec-475f-ed55-cea65a6b19d9"
      },
      "source": [
        "#Analisando agora a faixa de tempo\n",
        "plt.figure(figsize=(14,10))\n",
        "sns.histplot(data=dados, x='g-0', bins=100, hue = 'tempo', multiple=\"stack\")\n",
        "plt.show()\n",
        "#Por meio do multiple = stack podemos ver melhor o pico de incidências em comum."
      ],
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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4c3R07IuWlnGRyQzueZlisRAdHXtj+PDmxMcKUgADqViMju3bSpZGTpqScjMAcGzNzaNj795d8dJLz0dEbZf4ZbPZKBSq27WvOploajopmptHJz5SkAIAAPosk8nE2LFv6pdzt7aOjF27Ovrl3LU2uOfiAAAABoAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkFBDWhdasWJFbN68OV544YXYuHFjnHHGGfH888/H9ddf3/uajo6O6OzsjL//+7+PiIiZM2dGU1NTDBs2LCIiFixYEOeff35ERDzzzDOxePHiOHToUEyYMCFWrVoV48aNS+vtAAAAQ1hqQerCCy+Mq666Kj7ykY/0Pnf66afHhg0beh/feeedkc/njzpuzZo1ccYZZxz1XKFQiIULF8by5cujvb09HnjggVi9enUsX768f98EAABApLi0r729Pdra2srWu7q6YuPGjfGhD33omOfaunVrDBs2LNrb2yMiYvbs2bFp06aa9QoAAFBJajNSx/L444/HqaeeGmedddZRzy9YsCCKxWK8/e1vj5tvvjlGjRoVO3fujPHjx/e+ZuzYsVEoFGLfvn3R0tKSdusAAMAQUzdB6utf//obZqPWrVsXbW1t0dXVFXfeeWcsXbo0Vq9eXbNrjhvXnPiY1taRNbs+lRnrdBnvY8t3dUVjY+kfm5nIJKq9/rjScblcLlpbhx9Hx0T43k6b8U6PsU6X8U7PYBnrughSL730UvzoRz+KlStXHvX860sBm5qaYs6cOXHdddf1Pr9jx47e1+3Zsyey2Wzi2ajduzujUCj2+fWtrSNj166ORNegOsY6Xca7b0Y3N0R3d0/JWjGKfa41Nv7mPJWOy+fzscfX5bj43k6X8U6PsU6X8U5PPY11NpupOPFSF9ufP/zww/Hud787xowZ0/vca6+9Fh0dhwexWCzGo48+GtOmTYuIiOnTp8fBgwfjqaeeioiI9evXx6xZs9JvHAAAGJJSm5G64447YsuWLfHKK6/E3Llzo6WlJb797W9HxOEgddtttx31+t27d8f8+fMjn89HoVCIqVOnxpIlSyIiIpvNxsqVK2PJkiVHbX8OAACQhtSC1KJFi2LRokUla5s3b37DcxMnToxHHnmk7PnOOeec2LhxY836AwAA6Ku6WNoHAAAwmAhSAAAACdXFrn0A9WDkiMbIZsrv5JnNZlLsBgCoZ4IUwL/JZorRsX1b2frot0xNsRsAoJ5Z2gcAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJBQw0A3AEBp2Vw2RjeX/jFdKGaiY393yh0BAK8TpADqVbEYHdu3lSyNnDQl5WYAgCNZ2gcAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJBQakFqxYoVMXPmzDjzzDPjZz/7We/zM2fOjFmzZsVll10Wl112WXz/+9/vrT3zzDNx6aWXxnve8564+uqrY/fu3X2qAQAA9KfUgtSFF14Y69atiwkTJryhtmbNmtiwYUNs2LAhzj///IiIKBQKsXDhwli8eHFs3rw52tvbY/Xq1cesAQAA9LfUglR7e3u0tbX1+fVbt26NYcOGRXt7e0REzJ49OzZt2nTMGgAAQH9rGOgGIiIWLFgQxWIx3v72t8fNN98co0aNip07d8b48eN7XzN27NgoFAqxb9++irWWlpY+X3fcuObEvba2jkx8DNUx1uky3hH5rq5obCz/YzETmbL1pLXXH1d7zlwuF62tw8v2ym/43k6X8U6PsU6X8U7PYBnrAQ9S69ati7a2tujq6oo777wzli5dmtoyvd27O6NQKPb59a2tI2PXro5+7IjXGet0DaXxHjmiMbKZ0v+/z2Yz0d3dU/bYYhTL1pPUGhsbeh9Xe858Ph97hsjX7HgMpe/temC802Os02W801NPY53NZipOvAx4kHp9uV9TU1PMmTMnrrvuut7nd+zY0fu6PXv2RDabjZaWloo1gEqymWJ0bN9Wsjb6LVNT7gYAGKwGdPvz1157LTo6DifOYrEYjz76aEybNi0iIqZPnx4HDx6Mp556KiIi1q9fH7NmzTpmDQAAoL+lNiN1xx13xJYtW+KVV16JuXPnRktLS6xduzbmz58f+Xw+CoVCTJ06NZYsWRIREdlsNlauXBlLliyJQ4cOxYQJE2LVqlXHrAEAAPS31ILUokWLYtGiRW94/pFHHil7zDnnnBMbN25MXAMAAOhPA7q0DwAAYDASpAAAABISpAAAABISpAAAABISpAAAABISpAAAABJKbftzgKEqk8nEqElTjnpu+Ou19NsBAGpAkALoZ4V8Ib675pu9jxsbc9HdnY+IiAtuuHSg2gIAjoOlfQAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAn5HCmAGij1obtHVFPtBQDof4IUQA389ofuHuncq2el3A0A0N8s7QMAAEhIkAIAAEhIkAIAAEjIPVIAg1A2l43RzaV/hBeKmejY351yRwAwtAhSAINRsRgd27eVLI0su3sgAFArlvYBAAAkJEgBAAAkJEgBAAAkJEgBAAAkJEgBAAAkJEgBAAAkJEgBAAAk5HOkAPook8nEqLKf0ZRJtRcAYGAJUgB9VMgX4rtrvlmydu7Vs1LuBgAYSJb2AQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJNSQ1oVWrFgRmzdvjhdeeCE2btwYZ5xxRuzduzc+9alPxa9//etoamqKSZMmxdKlS2Ps2LEREXHmmWfGGWecEdns4by3cuXKOPPMMyMi4vHHH4+VK1dGPp+Ps846K5YvXx7Dhw9P6+0AAABDWGozUhdeeGGsW7cuJkyY0PtcJpOJa665JjZv3hwbN26MiRMnxurVq486bv369bFhw4bYsGFDb4jav39/3H777bF27dp47LHHYsSIEfGFL3whrbcCAAAMcakFqfb29mhrazvquZaWlpgxY0bv47e97W2xY8eOY57riSeeiOnTp8fkyZMjImL27Nnxne98p6b9AqQjE6MmTSn5v8xAtwYAlJXa0r5jKRQK8dBDD8XMmTOPev7KK6+MfD4f73rXu2L+/PnR1NQUO3fujPHjx/e+Zvz48bFz587E1xw3rjnxMa2tIxMfQ3WMdbqGynjnu7qisbH0j75MZMrWXtfYmCt9bCZZ7fXHh/Yfih99+bGSx5133fur6jWXy0Vrq6XOrxsq39v1wninx1iny3inZ7CMdd0EqWXLlsXJJ58cV1xxRe9z3/ve96KtrS06Oztj4cKFcf/998cnP/nJml1z9+7OKBSKfX59a+vI2LWro2bXpzxjna6hNN6jmxuiu7unZK0YxbK1iIjhEdHdnS99bLHvtcbGXO/jSsdFRFW95vP52DNEvp7HMpS+t+uB8U6PsU6X8U5PPY11NpupOPFSF7v2rVixIrZv3x733ntv78YSEdG7FLC5uTkuv/zyePrpp3ufP3IJ4I4dO96wbBAAAKC/DHiQuvvuu2Pr1q1x//33R1NTU+/zr776ahw8eDAiInp6emLz5s0xbdq0iIg4//zz43//7/8dv/rVryLi8IYU733ve1PvHQAAGJpSW9p3xx13xJYtW+KVV16JuXPnRktLS9x7773x4IMPxuTJk2P27NkREXH66afH/fffH9u2bYvFixdHJpOJnp6eOPvss+PGG2+MiMMzVEuXLo1PfOITUSgUYtq0aXHbbbel9VYAAIAhLrUgtWjRoli0aNEbnn/uuedKvv7ss8+OjRs3lj3fRRddFBdddFHN+gMAAOirAV/aBwAAMNgIUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAk1DHQDAPUik8nEqElTKr0itV4AgPomSAH8m0K+EN9d882y9XOvnpViNwBAPevz0r7vfOc7JZ/ftGlTzZoBAAAYDPocpG677baSzy9evLhmzQAAAAwGx1za9y//8i8REVEsFnv/+8haU1NT/3QGAABQp44ZpC6++OLIZDJRLBbj4osvPqp2yimnxPz58/utOQAAgHp0zCD105/+NCIirrjiiviLv/iLfm8IAACg3vX5HikhCgAA4LA+b3/+L//yL3HvvffGT37yk3jttdeOqn3ve9+rdV8AAAB1q89BasGCBTFx4sT49Kc/HcOHD+/PngAAAOpan4PUz3/+83jooYcim+3zakAAjksmRk2aUqYCAAykPgepd7zjHfHss8/G9OnT+7MfAP7Nwc5D8cMvlv7Q8wtuuDTlbgCAI/U5SE2YMCGuueaauPjii+OUU045qnbjjTfWvDEAAIB61ecgdeDAgbjggguip6cnXnzxxf7sCQAAoK71OUgtX768P/sAAAAYNBJtf17OxIkTa9IMQC2MHNEY2UyxZC2btU0DAHD8+hykLr744shkMlEs/uaXk0zm8C8kP/nJT2rfGUCVsplidGzfVrI2+i1TU+4GADgR9TlI/fSnPz3q8a5du+K+++6L9vb2mjcFAABQz6r+UKjW1ta47bbb4u67765lPwAAAHXvuD5dd9u2bXHgwIFa9QIAADAo9Hlp35w5c3rviYo4vB36P//zP8f111/fL40BAADUqz4Hqcsvv/yox8OHD4+3vvWtMXny5Fr3BMBxyOayMbq59I/3QjETHfu7U+4IAE48fQ5S/+W//Jf+7AOAWimW37Vw5KQpKTcDACemPt8j1d3dHWvWrIkLL7ww/sN/+A9x4YUXxpo1a6Krq6s/+wMAAKg7fZ6RWrVqVfzTP/1TfO5zn4vx48fHjh074oEHHojOzs649dZb+7NHAACAutLnILVp06bYsGFDjBkzJiIipkyZEv/+3//7uOyyywQpAABgSOnz0r5isZjoeQAAgBNVn4PUrFmz4rrrrovvf//78Ytf/CKeeOKJuP7662PWrFn92R8AAEDd6fPSvoULF8bnP//5WLp0abz88stx6qmnxvvf//647rrr+rM/AACAunPMGal/+Id/iFWrVkVTU1PceOON8dhjj8U//uM/xpYtW6KrqyueffbZNPoEAACoG8cMUg8++GC84x3vKFmbMWNGrF27tuZNAQAA1LNjBqmf/OQncf7555esvfOd74ytW7fWvCkAAIB6dswg1dnZGd3d3SVrPT09sX///po3BQAAUM+OGaSmTJkSTz75ZMnak08+GVOmTKl5UwAAAPXsmEHqYx/7WCxZsiS2bNkShUIhIiIKhUJs2bIlPvvZz8bcuXP7vUkAAIB6csztzz/4wQ/GK6+8Ep/+9Keju7s7WlpaYt++fdHY2Bg33HBDfOADH0ijTwAAgLrRp8+Rmjt3blx++eXx4x//OPbt2xctLS1x9tlnR3Nzc3/3BwAAUHf6/IG8zc3NZXfvO5YVK1bE5s2b44UXXoiNGzfGGWecERERv/zlL+OWW27pDWcrVqyIyZMnH+n8FycAACAASURBVFcNAACgvx3zHqlauPDCC2PdunUxYcKEo55fsmRJzJkzJzZv3hxz5syJxYsXH3cNAACgv6USpNrb26Otre2o53bv3h3PPvts7z1WH/jAB+LZZ5+NPXv2VF0DAABIQ5+X9tXazp0749RTT41cLhcREblcLt70pjfFzp07o1gsVlUbO3bsQL0dAABgCBmwIFUPxo1LvllGa+vIfuiEUox1uk6k8c53dUVjY+kfb5nIlK1FRDQ25srWMpny9aS11x9Xe87D50j+HnO5XLS2Di97zhPRifS9PRgY7/QY63QZ7/QMlrEesCDV1tYWL730UuTz+cjlcpHP5+Pll1+Otra2KBaLVdWS2r27MwqFYp9f39o6Mnbt6kh8HZIz1uk60cZ7dHNDdHf3lKwVo1i2NjwiurvzZc9bLJavJ6k1NuZ6H1d7zoio6j3m8/nYcwJ9rY/lRPvernfGOz3GOl3GOz31NNbZbKbixEsq90iVMm7cuJg2bVp861vfioiIb33rWzFt2rQYO3Zs1TUAAIA0pDIjdccdd8SWLVvilVdeiblz50ZLS0t8+9vfjs9+9rNxyy23xAMPPBCjRo2KFStW9B5TbQ0AAKC/pRKkFi1aFIsWLXrD81OnTo2vfe1rJY+ptgYAANDfBmxpHwAAwGA1pHftA4aeTCYToyZNKVdNtRcAYPASpIAhpZAvxHfXfLNk7dyrZ6XcDQAwWFnaBwAAkJAgBQAAkJAgBQAAkJB7pAAGpfKbZtgyAwD6nyAFMAgd7DwUP/zippK1C264NOVuAGDosbQPAAAgIUEKAAAgIUEKAAAgIUEKAAAgIUEKAAAgIUEKAAAgIUEKAAAgIUEKAAAgIUEKAAAgIUEKAAAgIUEKAAAgIUEKAAAgIUEKAAAgIUEKAAAgIUEKAAAgoYaBbgCgGiNHNEY2UyxZy2YzKXcDAAw1ghQwKGUzxejYvq1kbfRbpqbcDQAw1FjaBwAAkJAgBQAAkJAgBQAAkJAgBQAAkJDNJgCGkGwuG6ObS//oLxQz0bG/O+WOAGBwEqQAhpJi+d0OR06aknIzADB4WdoHAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQUMNAN/D888/H9ddf3/u4o6MjOjs74+///u9j5syZ0dTUFMOGDYuIiAULFsT5558fERHPPPNMLF68OA4dOhQTJkyIVatWxbhx4wbkPQAAAEPLgAep008/PTZs2ND7+M4774x8Pt/7eM2aNXHGGWccdUyhUIiFCxfG8uXLo729PR544IFYvXp1LF++PLW+AQCAoauulvZ1dXXFxo0b40Mf+lDF123dujWGDRsW7e3tERExe/bs2LRpUxotAgAADPyM1JEef/zxOPXUU+Oss87qfW7BggVRLBbj7W9/e9x8880xatSo2LlzZ4wfP773NWPHjo1CoRD79u2LlpaWgWgdAAAYQuoqSH39618/ajZq3bp10dbWFl1dXXHnnXfG0qVLY/Xq1TW73rhxzYmPaW0dWbPrU5mxTtdgG+98V1c0Npb+EZaJTNlaRERjY670cZnytWPVk9Zef1zLcx59/uRjk8vlorV1eNlzDlaD7Xt7sDPe6THW6TLe6RksY103Qeqll16KH/3oR7Fy5cre59ra2iIioqmpKebMmRPXXXdd7/M7duzofd2ePXsim80mno3avbszCoVin1/f2joydu3qSHQNqmOs0zUYx3t0c0N0d/eUrBWjWLY2PCK6u/Mla8Vi+dqx6klqjY253se1Oudvq2Zs8vl87Blk3wfHMhi/twcz450eY50u452eehrrbDZTceKlbu6Revjhh+Pd7353jBkzJiIiXnvttejoODyIxWIxHn300Zg2bVpEREyfPj0OHjwYTz31VERErF+/PmbNmjUwjQMAAENO3cxIPfzww3Hbbbf1Pt69e3fMnz8/8vl8FAqFmDp1aixZsiQiIrLZbKxcuTKWLFly1PbnAAAAaaibILV58+ajHk+cODEeeeSRsq8/55xzYuPGjf3dFsAglIlRk6aUqQAAtVA3QQqgVjKZ8kFiKESJg52H4odfLP2REBfccGnK3QDAiUmQAk44hXwhvrvmmyVr517tfkoA4PjVzWYTAAAAg4UgBQAAkJAgBQAAkJAgBQAAkJAgBQAAkJBd+wD6Wa4hGzPmXtL7OBMRxdf/+8TfjR0ATkiCFEA/6+7uiXnX3t77uKkxF13d+YiIuG/tsoFqCwA4Dpb2AQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJCRIAQAAJNQw0A0AUB+yuWyMbi79z0KhmImO/d0pdwQA9UuQAuCwYjE6tm8rWRo5aUrKzQBAfbO0DwAAICEzUgA1kGvIxoy5l5SsZXL+ZgUAJxpBCqAGurt7Yt61t5esLb/31pS7AQD6myAF0Ef9MeuUbciVP2emqlMCACkQpAD6qD9mnV7t7IzP3HRXydp9a5dVdU4AoP9ZuA8AAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJCQIAUAAJBQw0A3AFCNTGRi1KQpZasAAP1JkAIGpQOdh+Jvv7ipZO3cq2el3A0AMNQIUkDdGjmiMbKZYuli0awTADBwBCmgbmUzxejYvq1krfyyPiorvyRSNAWAvhOkAIaQg52H4odllkRecMOlKXcDAIOXXfsAAAASEqQAAAASEqQAAAASEqQAAAASstkEQJ3KNuRixtxLStYyttgDgAElSAHUqVc7O+MzN91Vsnbf2mUpdwMAHEmQAvg3uYZs2RmgiIhMzmpoAOAwQQrg33R398S8a28vW19+760pdgMA1DN/XgUAAEhIkAIAAEhIkAIAAEhIkAIAAEhIkAIAAEioLnbtmzlzZjQ1NcWwYcMiImLBggVx/vnnxzPPPBOLFy+OQ4cOxYQJE2LVqlUxbty4iIiKNQAAgP5UNzNSa9asiQ0bNsSGDRvi/PPPj0KhEAsXLozFixfH5s2bo729PVavXh0RUbEGAADQ3+omSP22rVu3xrBhw6K9vT0iImbPnh2bNm06Zg0AAKC/1cXSvojDy/mKxWK8/e1vj5tvvjl27twZ48eP762PHTs2CoVC7Nu3r2KtpaVlINoHAACGkLoIUuvWrYu2trbo6uqKO++8M5YuXRoXX3xxv1933LjmxMe0to7sh04oxVinqx7HO9/VFY2N5X9MNTbmSj6fyVRZi4imMrXXVaonqR35uJpz5hpz8btzLylZq/b9R0TZ8c7lctHaOrzscfWsHr+3T2TGOz3GOl3GOz2DZazrIki1tbVFRERTU1PMmTMnrrvuurjqqqtix44dva/Zs2dPZLPZaGlpiba2trK1JHbv7oxCodjn17e2joxduzoSXYPqGOt01et4j25uiO7unpK14RHR3Z0vWSsWq6xFRFeZ2usq1ftaa2rMHfW4mnPu6+iMz9x0V8nafWuXVfX+I6LseBejGF0HDpQ9rlDMRMf+7rL1gVKv39snKuOdHmOdLuOdnnoa62w2U3HiZcCD1GuvvRb5fD5GjhwZxWIxHn300Zg2bVpMnz49Dh48GE899VS0t7fH+vXrY9asWRERFWsA9INiMTq2bytbHjlpSorNAMDAG/AgtXv37pg/f37k8/koFAoxderUWLJkSWSz2Vi5cmUsWbLkqC3OI6JiDQAAoL8NeJCaOHFiPPLIIyVr55xzTmzcuDFxDQAAoD/V7fbnAAAA9UqQAgAASEiQAgAASEiQAgAASGjAN5sASFOuIRszyn2Qbc7flgCAvhGkgCGlu7sn5l17e8na8ntvTbkbAGCw8udXAACAhAQpAACAhAQpAACAhNwjBcC/ycSoSVPKVACAIwlSAERExMHOQ/HDL24qWbvghktT7gYA6pulfQAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAkJUgAAAAnZ/hwYUCNHNEY2UyxZy2Z9ehEAUJ8EKWBAZTPF6Ni+rWRt9FumptwNAEDfWNoHAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkCAFAACQkA/kBepWJpOJUZOmlKum2gsAwJEEKaBuFfKF+O6ab5asnXv1rLLH5RqyMWPuJSVrmZyJeADg+AlSwAmnu7sn5l17e8na8ntvTbmb9GUbcuWDpIk8AKgJQQrgBPNqZ2d85qa7StbuW7ss5W4A4MRkjQsAAEBCghQAAEBCghQAAEBC7pEC4Lhlc9kY3Vz6n5RCMRMd+7tT7ggA+pcgBcDxKxajY/u2kqWRZT8LDAAGL0v7AAAAEjIjBUAfZGJUhZklH08FwFAjSAFwTAc7D8UPv7ipbP2CGy5NsRsAGHiW9gEAACQkSAEAACQkSAEAACQkSAEAACQkSAEAACQkSAEAACQkSAEAACQkSAEAACQkSAEAACQkSAEAACQkSAEAACTUMNANAJCebEMuZsy9pGQtk0m5GQAYxAQpYFDKNWTLB4KcyfZyXu3sjM/cdFfJ2n1rl/XLNbO5bIxuLv3PTaGYiY793f1yXQDoT4IUMCh1d/fEvGtvL1lbfu+tKXdDRcVidGzfVrI0ctKUlJsBgNrwZ1sAAICEBnxGau/evfGpT30qfv3rX0dTU1NMmjQpli5dGmPHjo0zzzwzzjjjjMhmD+e9lStXxplnnhkREY8//nisXLky8vl8nHXWWbF8+fIYPnz4QL4VAABgiBjwIJXJZOKaa66JGTNmRETEihUrYvXq1XHXXYfX8K9fvz5GjBhx1DH79++P22+/PdatWxeTJ0+O2267Lb7whS/EvHnzUu8fOLaRIxojmymWrOVyuRhVdnmX3Q8AgPo04EGqpaWlN0RFRLztbW+Lhx56qOIxTzzxREyfPj0mT54cERGzZ8+OW265RZCCOpXNlL9HZtSkKfHdNd8sWTv36ln92RYAQNUGPEgdqVAoxEMPPRQzZ87sfe7KK6+MfD4f73rXu2L+/PnR1NQUO3fujPHjx/e+Zvz48bFz587E1xs3rjnxMa2tIxMfQ3WMdbr6c7zzXV3R2Fj+x01jY67k85lMhVpENJWpRT/VanneIx+n/T7K1TJR3dfideW+xpnIlK3lcrlobe3fZdl+lqTLeKfHWKfLeKdnsIx1XQWpZcuWxcknnxxXXHFFRER873vfi7a2tujs7IyFCxfG/fffH5/85Cdrdr3duzujUCi93KiU1taRsWtXR82uT3nGOl39Pd6jmxuiu7unZG14RHR350vWisUKtYjoKlOLfqrV6rxNjbmjHqf9PsrVilHd1+J15b7GxSiWreXz+djTj997fpaky3inx1iny3inp57GOpvNVJx4qZtd+1asWBHbt2+Pe++9t3dziba2toiIaG5ujssvvzyefvrp3ud37NjRe+yOHTt6XwsAANDf6mJG6u67746tW7fGn/3Zn0VTU1NERLz66qsxbNiwOOmkk6Knpyc2b94c06ZNi4iI888/P5YtWxa/+tWvYvLkybF+/fp473vfO5BvAWCIy5TdNMSWIQCciAY8SP385z+PBx98MCZPnhyzZ8+OiIjTTz89rrnmmli8eHFkMpno6emJs88+O2688caIODxDtXTp0vjEJz4RhUIhpk2bFrfddttAvg2AIe1g56H44Rc3laxdcMOlKXcDAP1vwIPU7/zO78Rzzz1XsrZx48ayx1100UVx0UUX9VdbAENOtiEXM+ZeUrKWMa0EAEcZ8CAFQH14tbMzPnPTXSVr961dlnI3AFDf6mazCQAAgMFCkAIAAEhIkAIAAEhIkAIAAEhIkAIAAEhIkAIAAEhIkAIAAEjI50gBMGCyuWyMbi79T1GhmImO/d0pdwQAfSNIATBwisXo2L6tZGnkpCkpNwMAfWdpHwAAQEKCFAAAQEKW9gF1K9eQjRlzLylZy+T8HWjwyMSoMsv0Mil3AgC1IkgBdau7uyfmXXt7ydrye29NuRuqdbDzUPzwi5tK1i644dKUuwGA2vAnXQAAgITMSAFQl2yNDkA9E6SAfpepcI+Mu2QGh2xDruz9ahERmf74MtoaHYA6JkgB/e5A56H42zL3yJx79ayUu6Ear3Z2xmduuqts/b61y1LsBgAGnnukAAAAEhKkAAAAErK0D6iJkSMaI5spli4W3QcFAJxYBCmgJrKZ8hsDlN9oAgBgcLK0DwAAICFBCgAAICFL+4ABlWvIlv18okzO33pOfOU/Y8yddQDUM0EKGFDd3T0x79rbS9aW33tryt2QtoOdh+KHZT5j7IIbLk25GwDoO3/uBQAASMiMFACDTjaXjdHNpf8JKxQz0bG/O+WOABhqBCkAjlu2IVf+Xrf+uNmpWH67/dFT/l1vyMp3dR0VuIQsAGpFkAJqIlNh0wDbBpz4Xu3sjM/cdFfJ2n1rl6XbzBEhq7GxIbq7e3pLI32mGQA1IkgBNXGg81D8bZlNA869elbK3UBplgQCUCuCFABDR4UlgWarAEjCrn0AAAAJmZEC+mzkiMbIZoqli0X3QVFa9RtR+LBeAOqXIAX0WTZTfllU+Y0mGOqq3YjCh/UCUM8EKaDf5Rqy5WckclYYAwCDjyAF9Lvu7p6Yd+3tJWvL77015W4AAI6fPwUDAAAkZEYKgEGo9htRDMRnTFXawMXnWgHUN0EKgEGn8kYUlx0VsoYfUctksuUDWIXPmBo95d+VDVkR1YeeShu4+FwrgPomSAF9lqkwC2BDaurFkSGrsTEX3d353tq5V8+qbifACiEronLoqTTrlM36/w3AYCVIAX12oPNQ/G2ZX0LP+6P32ZmPIavSssBsNuLVX5aZ6XrL1KrOadkfwMATpICasDMf1aj+w3rrTKVlgRXCUrXnHArL/tw/BtQ7QQo4SqVfXqI4mH6zZTCo9sN6h7qhMFvl/jGg3glSwFEq/fJS/v4oIFVVzlYNxCxPf1yz4lLKXC4K+XzJ2okSMoH6IEgBR7GhBPXihFn2V0cq/aGk0s6ExxNA+mVm6RhLKc1kAWkQpGCIKfXX4XxXV+8vUMVixPf+9Jsljz336ln93h+8Lv1lf7X/bKqIiEymwnkrbcde5fUqb3xR4awDcE9W1b1WUGm8qx1V92sBpQhSMMSU+utwY2NDdHf3RITlewx+uYZs70xWJiKO/PW30kxW5c+mqrA1+jEU8oX47pryf5yo5poVw1k/bHzR16V0R/5RprdeZXir1Gul91/IF8uO9+9ePSsiku8iWu2sWsV7TkMIg8FOkIIhptzSveFHvKKcI39BfcN5bXFOnThyB8mmxlx0HfE5UtXPZFWa5ag8s1T93FJ1YeF4Ql9ZfVxKd+QfZV7XMuXfVTXrVm1YqnbmvD8+76tSAIuw1BAGO0EKhphSnwV15IeWVvolxBbn1IuK909VCPXV3ndVabYqovLMUrW/2Fe6ZrXnTHuZYUTlGblKoe9YM3m1lqvwJiuNTTaXi9HNpY87VgAbCrsvwolMkAKOYtaJwaDS/VOVQv1Q3269+mWGl/VLyErbSSOGxUllZp2OdX9opbEpNwaVZyorL8Psj9mqirNudjuExAQpGGKyJYLSkfeR9BQKZp0goYp/gOiHpFHpetEPmy1Uvn/s6JA1/A2vqLiAr+a9Vv5aFONfa/zxDseaOaw0k1kxoOYaomVU6V/T8j2lA09E5bCUy2XLhqVMlB/xSrN1whlDmSAFg1S1u0i92rk/brnxjqOeO/I+EmGJoep4tluvtOz1gT+/q6rzVgoElf7gcd/aZfF3X9pSstYfS+KODBJHLhPuyzUrhZDz/uh9Zd9/rrH816rS2Hxh3epUP96hYuCNiEP7D8X/94XkIez/mn9ZyY09IiqHpWpnJN8977JoGXVSyVomilEs1DacceKr+DtMT0/J5+vRoA5Sv/zlL+OWW26Jffv2RUtLS6xYsSImT5480G1BKnLZTGTK/BaWzWSjZVSuZK37pNLPw1BXadlfpTAUUXnZa7XnrXZ2uFIgrBRAqq0dK2RWO1t3rHsyq1naeaDjQKohs9J7iKg+ZGcyEYV8vmRIqfbeskpfp+4D1QW+Y4XBcveHRfTPbNbIkxsj11D638B8Tz46XjNDlpZKQbqQL6TXyHEa1EFqyZIlMWfOnLjssstiw4YNsXjx4vjyl7880G1BzVT6od/d1R2f+OinStYe+PO7olBm6Yf7nCC5SmEoovqZ3Grv9Tqec9a6dmQY+O3t5iMqB8KKQSLln1VpL8+MqD5kH9p/KH705cfeMPsXUX0gTHtWNZONN36zHFmP8rNZDQ25sn8sjGKxbFP5ru747r0bStYqzbpFsRj57p7S9UrXqxDOKv37noliFMrM8kUcDpnFYvJr1pNDB7sj31165qlhWGPK3VRv0Aap3bt3x7PPPhtf+tKXIiLiAx/4QCxbtiz27NkTY8eO7dM5qtnOtNotUEmuHse6eXhjZMv8417IF6LzQG1/eOV7eqLrwKGStUwuE6e0lv5e7zxwIFYuvb9k7VOLr3/DcUcux8nlcmXPO5RrtTzviTbe9dbPkbXfXmo21N5/GrUjf96UWtpX6mdOqWN/W6Xjqn4fTQ3xux8vHTTyUYzP3n5PydqyFQvLHtdQ4ZyVfk4fq9dKY7NsxcJov+rikjmkUj/V9nqsXqoZ08/d+cfxzNeeKFmLiHjHnAtKBsWIiMamQnR3lf4lvLGpoWKtXK89h7riH778N2V76enOlxzvXDYT//CXpY+b8dFLyoazQndP+Zm8uZeUXXESEVEsFuNAx4GStWEnn1Q+EEYxysXTTBSjUCw9E1QsZv7/9u49pur6j+P463CgC5ADKfAU5mVlnErDQdlcWOIF1g6cnDOxmv9o5pIUlyWjzOu0M+2iP212sVxJ/dNmCmyGJLXSpsWKQLTLCYwtLkoygaMyDuf3h78f+1Gmv9OAD+fL8/Hnly/bE3Z2PufN9/P9ovY+Hs7az5+XZ+2/Lvu1gvVLFWb/u59hYF3ts6gtEAhc4e8Bg1d1dbVWrlypkpKSnmMPP/ywNm/erLvuustgGQAAAACrY48PAAAAAAQpZAcph8OhpqYm+f9zI6Lf71dzc7McDofhMgAAAABWF7KDVFxcnJxOp4qLiyVJxcXFcjqd//f9UQAAAADwT4XsPVKS5PV6lZ+fr3PnzmnYsGHyeDwaO7bv/xM4AAAAAPyvkB6kAAAAAMCEkN3aBwAAAACmMEgBAAAAQJAYpAAAAAAgSAxSAAAAABAkBql/4IMPPlBmZqaysrLkdrtN5wwJR48eldPp1J49e0ynWNbatWuVmZmp7Oxs5eTkqKqqynSS5dTW1mru3LnKyMjQ3LlzVVdXZzrJss6ePasnn3xSGRkZysrKUm5urv744w/TWZa3fft23XHHHfrpp59Mp1jaxYsXtXr1as2cOVNZWVlatWqV6STLKi8v1yOPPCK3263s7GyVlpaaTrIUj8ej9PT0v7xvhMp6GW46INSUlpbqwIED+vjjjxUdHa0zZ86YTrK89vZ2bdmyRVOmTDGdYmlTpkxRQUGBIiIiVF5eruXLl6usrMx0lqWsXr1ajz32mNxut/bt26eXXnpJ77//vuksS7LZbFq4cKEmTZok6dJivWXLFm3cuNFwmXUdP35c33//vW655RbTKZa3efNmXXvttfr0009ls9n4LNJPAoGAnn/+eRUWFmrcuHE6efKk5s2bp+nTpyssjGsRfWHatGmaP3++Hn/88V7HQ2W95FUQpHfffVe5ubmKjo6WJN14442Gi6zv5Zdf1oIFCxQbG2s6xdKmTp2qiIgISVJycrIaGxvV3d1tuMo6WlpaVFNTI5fLJUlyuVyqqanhKkk/iYmJ6RmipEuv6d9//91gkbV1dnZq3bp1WrNmjekUy+vo6NAnn3yiZcuWyWazSeKzSH8KCwtTW1ubJKmtrU3x8fEMUX0oNTVVDoej17FQWi+5IhUkr9eryspKbd26VZ2dncrJydGjjz5qOsuyvvjiC7W1tSkzM1Off/656Zwho7CwUA899BCLRR9qaGhQQkKC7Ha7JMlutys+Pl4NDQ0aPny44Tpr6+7u1kcffaT09HTTKZa1detWZWdnKzEx0XSK5dXX1ysmJkbbt2/X0aNHFRUVpWXLlik1NdV0muXYbDa9/vrrevrppxUZGamOjg699dZbprMsL5TWSwapP5k1a9bf/tXyyJEj8vv9amho0IcffqizZ89q3rx5GjNmjO69994BLrWGK/2+Dxw4oFdeeUXvvffeAFdZ09Ve2/99wyopKVFRUZEKCwsHMg/oN+vXr1dkZKSeeOIJ0ymW9N1336m6ulorVqwwnTIk+P1+1dfX684779TKlStVWVmpxYsX6+DBgz27ZdA3urq69Oabb+qNN95QSkqKKioqlJeXp5KSEkVFRZnOwyDAIPUne/fuveLXb775ZrlcLoWFhSkuLk6TJ0/WDz/8wCD1D13p9/3tt9/q9OnTmjNnjqRLN4+Xl5ertbVVubm5A5VoGVd7bUvSwYMH9dprr2n37t1sFeljDodDTU1N8vv9stvt8vv9am5u/suWBvQtj8ejU6dOaefOnVxh7SfffPONvF6vpk2bJklqbGzUggULtGnTJj3wwAOG66zH4XAoPDy8Z9vTPffco9jYWNXW1mr8+PGG66zlxIkTam5uVkpKiiQpJSVF119/vbxeryZMmGC4zrpCab1kVQmSy+XSl19+KUny+XyqqKhQUlKS4SprSk1N1ddff61Dhw7p0KFDysjI0DPPPMMQ1U/Ky8u1adMm7dq1i+05/SAuLk5Op1PFxcWSqs4uTAAAA9RJREFUpOLiYjmdzkG3TcFKXn31VVVXV2vHjh265pprTOdY1qJFi/TVV1/1vFePGDFCu3btYojqJ8OHD9ekSZN0+PBhSZeebtbS0qJRo0YZLrOeESNGqLGxUb/++qukS7d3tLS06NZbbzVcZm2htF7aAoFAwHREKLlw4YJWrVqlmpoaSZLb7daiRYsMVw0N+fn5uvvuu9me00/uv/9+RURE9Hqj2r17Nw/56ENer1f5+fk6d+6chg0bJo/Ho7Fjx5rOsqSff/5ZLpdLo0eP1nXXXSdJSkxM1I4dOwyXWV96erp27typcePGmU6xrPr6ehUUFKi1tVXh4eHKy8vTgw8+aDrLkvbv36+3336758EeS5cu1fTp0w1XWceGDRtUWlqqM2fOKDY2VjExMSopKQmZ9ZJBCgAAAACCxNY+AAAAAAgSgxQAAAAABIlBCgAAAACCxCAFAAAAAEFikAIAAACAIDFIAQAAAECQGKQAAPiT1tZWLVmyRMnJyZo6daqKiopMJwEABplw0wEAAAw269atU0REhA4fPqwTJ07oqaeeUlJSkm6//XbTaQCAQYJ/yAsAGBKOHz+uF154QadOnVJaWprCwsI0atQoLV++vNd5Pp9P9913n4qKijRmzBhJ0nPPPaeEhAStWLHCRDoAYBBiax8AwPI6OzuVm5urWbNm6dixY3K5XCorK7vsuXV1dbLb7T1DlCQlJSXpl19+GahcAEAIYGsfAMDyKisr1dXVpfnz58tms2nmzJkaP378Zc/1+XyKjo7udeyGG25QR0fHQKQCAEIEV6QAAJbX3NyshIQE2Wy2nmMOh0OStHDhQk2cOFETJ07U/v37FRkZqfb29l7f397erqioqAFtBgAMblyRAgBY3k033aSmpiYFAoGeYaqhoUEjR47UO++80+tcn88nv9+vuro6jR49WpJ08uRJ3XbbbQOdDQAYxLgiBQCwvOTkZNntdu3Zs0ddXV0qKytTVVXVZc+NjIzUjBkztG3bNvl8PlVUVOizzz6T2+0e4GoAwGDGU/sAAENCVVWVXnzxRf32229KS0tTd3e3nE6nlixZ8pdzW1tbVVBQoCNHjigmJkbPPvussrKyDFQDAAYrBikAwJA0Z84c5eTkaPbs2aZTAAAhiK19AIAh4dixYzp9+rS6urq0d+9e/fjjj0pLSzOdBQAIUTxsAgAwJNTW1iovL0/nz59XYmKitm3bpvj4eNNZAIAQxdY+AAAAAAgSW/sAAAAAIEgMUgAAAAAQJAYpAAAAAAgSgxQAAAAABIlBCgAAAACCxCAFAAAAAEH6NxOyHgfNTQufAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1008x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 611
        },
        "id": "UWYH14gjT4ES",
        "outputId": "8236535f-46f2-4d0b-8605-6c1218e4bbd2"
      },
      "source": [
        "#Analisando agora a faixa de tempo\n",
        "plt.figure(figsize=(14,10))\n",
        "sns.histplot(data=dados, x='g-0', bins=100, hue = 'tempo')\n",
        "plt.show()\n",
        "#Após retirá-lo é visível que os dados se mesclam."
      ],
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5xDc4VDj6uEf"
      },
      "source": [
        "###Desafio 07: Resumo do que você aprendeu."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f3QZ5w0RUEwS"
      },
      "source": [
        "\n",
        "\n",
        "1.   Uso do seaborn;\n",
        "2.   Sobre o describe;\n",
        "3.   Uso dos gráficos de histograma e boxplot;\n",
        "4.   Sobre a importância da escolha da apresentação dos dados;\n",
        "5.   Elementos a serem considerados na tomada de decisão;\n",
        "6.   Uso de ferramentas em geral na plataforma.\n",
        "\n"
      ]
    }
  ]
}