Aula01(desafios)_imersao_dados.ipynb

{
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  "metadata": {
    "colab": {
      "name": "Aula01(desafios)-imersao_dados.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyP3P905D8luViE+DLvu2VJa",
      "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/silva-felipe/Imersao_dados_alura/blob/main/Aula01(desafios)_imersao_dados.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m7G4rKqL-CYy"
      },
      "source": [
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "sns.set()"
      ],
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0093nWmH7zlx",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "outputId": "482cc11e-a66f-4322-e420-54b571141b76"
      },
      "source": [
        "url_dados = 'https://github.com/alura-cursos/imersaodados3/blob/main/dados/dados_experimentos.zip?raw=true'\n",
        "\n",
        "dados = pd.read_csv(url_dados, compression = 'zip')\n",
        "dados"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>c-91</th>\n",
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              "      <th>c-99</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
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              "      <td>0.4805</td>\n",
              "      <td>0.4965</td>\n",
              "      <td>0.3680</td>\n",
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              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
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              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
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              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
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              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
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              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.1220</td>\n",
              "      <td>-0.3752</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23809</th>\n",
              "      <td>id_fffb1ceed</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>df1d0a5a1</td>\n",
              "      <td>0.1394</td>\n",
              "      <td>-0.0636</td>\n",
              "      <td>-0.1112</td>\n",
              "      <td>-0.5080</td>\n",
              "      <td>-0.4713</td>\n",
              "      <td>0.7201</td>\n",
              "      <td>0.5773</td>\n",
              "      <td>0.3055</td>\n",
              "      <td>-0.4726</td>\n",
              "      <td>0.1269</td>\n",
              "      <td>0.2531</td>\n",
              "      <td>0.1730</td>\n",
              "      <td>-0.4532</td>\n",
              "      <td>-1.0790</td>\n",
              "      <td>0.2474</td>\n",
              "      <td>-0.4550</td>\n",
              "      <td>0.3588</td>\n",
              "      <td>0.1600</td>\n",
              "      <td>-0.7362</td>\n",
              "      <td>-0.1103</td>\n",
              "      <td>0.8550</td>\n",
              "      <td>-0.4139</td>\n",
              "      <td>0.5541</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.5573</td>\n",
              "      <td>-0.4397</td>\n",
              "      <td>-0.9260</td>\n",
              "      <td>-0.2424</td>\n",
              "      <td>-0.6686</td>\n",
              "      <td>0.2326</td>\n",
              "      <td>0.6456</td>\n",
              "      <td>0.0136</td>\n",
              "      <td>-0.5141</td>\n",
              "      <td>-0.6320</td>\n",
              "      <td>0.7166</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0807</td>\n",
              "      <td>0.4024</td>\n",
              "      <td>-0.0895</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9641</td>\n",
              "      <td>-0.1846</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>0.3154</td>\n",
              "      <td>-0.2071</td>\n",
              "      <td>-0.6158</td>\n",
              "      <td>-0.2977</td>\n",
              "      <td>0.0992</td>\n",
              "      <td>0.6838</td>\n",
              "      <td>0.5259</td>\n",
              "      <td>0.7882</td>\n",
              "      <td>0.3119</td>\n",
              "      <td>-0.7697</td>\n",
              "      <td>0.2203</td>\n",
              "      <td>-1.0710</td>\n",
              "      <td>0.5979</td>\n",
              "      <td>0.0848</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.6293</td>\n",
              "      <td>1.1660</td>\n",
              "      <td>0.3329</td>\n",
              "      <td>0.2754</td>\n",
              "      <td>0.4108</td>\n",
              "      <td>-0.1252</td>\n",
              "      <td>-0.2340</td>\n",
              "      <td>0.2267</td>\n",
              "      <td>0.1969</td>\n",
              "      <td>0.0262</td>\n",
              "      <td>-0.8121</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.5372</td>\n",
              "      <td>-0.3246</td>\n",
              "      <td>0.0631</td>\n",
              "      <td>0.9171</td>\n",
              "      <td>0.5258</td>\n",
              "      <td>0.4680</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23810</th>\n",
              "      <td>id_fffb70c0c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>ecf3b6b74</td>\n",
              "      <td>-1.3260</td>\n",
              "      <td>0.3478</td>\n",
              "      <td>-0.3743</td>\n",
              "      <td>0.9905</td>\n",
              "      <td>-0.7178</td>\n",
              "      <td>0.6621</td>\n",
              "      <td>-0.2252</td>\n",
              "      <td>-0.5565</td>\n",
              "      <td>0.5112</td>\n",
              "      <td>0.6727</td>\n",
              "      <td>-0.1851</td>\n",
              "      <td>2.8650</td>\n",
              "      <td>-0.2140</td>\n",
              "      <td>-0.6153</td>\n",
              "      <td>0.8362</td>\n",
              "      <td>0.5584</td>\n",
              "      <td>-0.2589</td>\n",
              "      <td>0.1292</td>\n",
              "      <td>0.0148</td>\n",
              "      <td>0.0949</td>\n",
              "      <td>-0.2182</td>\n",
              "      <td>-0.9235</td>\n",
              "      <td>0.0749</td>\n",
              "      <td>-1.5910</td>\n",
              "      <td>-0.8359</td>\n",
              "      <td>-0.9217</td>\n",
              "      <td>0.3013</td>\n",
              "      <td>0.1716</td>\n",
              "      <td>0.0880</td>\n",
              "      <td>0.1842</td>\n",
              "      <td>0.1835</td>\n",
              "      <td>0.5436</td>\n",
              "      <td>-0.0533</td>\n",
              "      <td>-0.0491</td>\n",
              "      <td>0.9543</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1410</td>\n",
              "      <td>1.2640</td>\n",
              "      <td>-0.8663</td>\n",
              "      <td>0.8129</td>\n",
              "      <td>-0.1514</td>\n",
              "      <td>-0.4652</td>\n",
              "      <td>-0.7390</td>\n",
              "      <td>-1.3270</td>\n",
              "      <td>0.9925</td>\n",
              "      <td>1.0570</td>\n",
              "      <td>-0.3355</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.8219</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>-0.2942</td>\n",
              "      <td>0.2408</td>\n",
              "      <td>-0.7781</td>\n",
              "      <td>-0.0929</td>\n",
              "      <td>-0.0329</td>\n",
              "      <td>0.0781</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>0.3188</td>\n",
              "      <td>-1.1080</td>\n",
              "      <td>0.4895</td>\n",
              "      <td>-0.2144</td>\n",
              "      <td>1.0960</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.4444</td>\n",
              "      <td>-1.1130</td>\n",
              "      <td>0.4286</td>\n",
              "      <td>0.4426</td>\n",
              "      <td>0.0423</td>\n",
              "      <td>-0.3195</td>\n",
              "      <td>-0.8086</td>\n",
              "      <td>-0.9798</td>\n",
              "      <td>-0.2084</td>\n",
              "      <td>-0.1224</td>\n",
              "      <td>-0.2715</td>\n",
              "      <td>0.3689</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6845</td>\n",
              "      <td>0.7127</td>\n",
              "      <td>0.7294</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>id_fffcb9e7c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.4392</td>\n",
              "      <td>0.2044</td>\n",
              "      <td>0.8531</td>\n",
              "      <td>-0.0343</td>\n",
              "      <td>0.0323</td>\n",
              "      <td>0.0463</td>\n",
              "      <td>0.4299</td>\n",
              "      <td>-0.7985</td>\n",
              "      <td>0.5742</td>\n",
              "      <td>0.1421</td>\n",
              "      <td>2.2700</td>\n",
              "      <td>0.2046</td>\n",
              "      <td>0.5363</td>\n",
              "      <td>-1.7330</td>\n",
              "      <td>0.1450</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.2024</td>\n",
              "      <td>0.9865</td>\n",
              "      <td>-0.7805</td>\n",
              "      <td>0.9608</td>\n",
              "      <td>0.3440</td>\n",
              "      <td>2.7650</td>\n",
              "      <td>0.4925</td>\n",
              "      <td>0.6698</td>\n",
              "      <td>0.2374</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.8771</td>\n",
              "      <td>-2.6560</td>\n",
              "      <td>-0.2000</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.6797</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>-0.0927</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3360</td>\n",
              "      <td>-0.6136</td>\n",
              "      <td>0.5011</td>\n",
              "      <td>0.9261</td>\n",
              "      <td>0.4419</td>\n",
              "      <td>0.0295</td>\n",
              "      <td>0.4220</td>\n",
              "      <td>0.4677</td>\n",
              "      <td>-0.1184</td>\n",
              "      <td>0.4524</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.1356</td>\n",
              "      <td>-0.5801</td>\n",
              "      <td>0.0411</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>-0.0270</td>\n",
              "      <td>-0.4194</td>\n",
              "      <td>0.7403</td>\n",
              "      <td>-0.6793</td>\n",
              "      <td>-0.1423</td>\n",
              "      <td>0.7307</td>\n",
              "      <td>0.7946</td>\n",
              "      <td>-0.0650</td>\n",
              "      <td>0.9038</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.9676</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.5187</td>\n",
              "      <td>-0.1105</td>\n",
              "      <td>0.4258</td>\n",
              "      <td>-0.2012</td>\n",
              "      <td>0.1506</td>\n",
              "      <td>1.5230</td>\n",
              "      <td>0.7101</td>\n",
              "      <td>0.1732</td>\n",
              "      <td>0.7015</td>\n",
              "      <td>-0.6290</td>\n",
              "      <td>0.0740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23813</th>\n",
              "      <td>id_ffffdd77b</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>972f41291</td>\n",
              "      <td>-0.8598</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>-0.1361</td>\n",
              "      <td>0.7952</td>\n",
              "      <td>-0.3611</td>\n",
              "      <td>-3.6750</td>\n",
              "      <td>-1.2420</td>\n",
              "      <td>0.9146</td>\n",
              "      <td>3.0790</td>\n",
              "      <td>1.2460</td>\n",
              "      <td>1.9460</td>\n",
              "      <td>1.4370</td>\n",
              "      <td>2.9780</td>\n",
              "      <td>2.2370</td>\n",
              "      <td>-0.6818</td>\n",
              "      <td>0.6870</td>\n",
              "      <td>-1.1060</td>\n",
              "      <td>0.0182</td>\n",
              "      <td>-0.9247</td>\n",
              "      <td>-0.0738</td>\n",
              "      <td>-0.1919</td>\n",
              "      <td>-0.7722</td>\n",
              "      <td>-1.4050</td>\n",
              "      <td>-1.0050</td>\n",
              "      <td>-1.1170</td>\n",
              "      <td>-0.5293</td>\n",
              "      <td>-1.1720</td>\n",
              "      <td>-0.2885</td>\n",
              "      <td>0.1599</td>\n",
              "      <td>-0.4250</td>\n",
              "      <td>0.3591</td>\n",
              "      <td>-0.1420</td>\n",
              "      <td>-0.9530</td>\n",
              "      <td>-0.2005</td>\n",
              "      <td>-1.8340</td>\n",
              "      <td>...</td>\n",
              "      <td>-6.9170</td>\n",
              "      <td>-1.8640</td>\n",
              "      <td>-2.5090</td>\n",
              "      <td>-4.7130</td>\n",
              "      <td>-1.7250</td>\n",
              "      <td>-3.8650</td>\n",
              "      <td>-3.0800</td>\n",
              "      <td>-4.1530</td>\n",
              "      <td>-1.2030</td>\n",
              "      <td>-1.1690</td>\n",
              "      <td>-4.1460</td>\n",
              "      <td>-1.2670</td>\n",
              "      <td>-1.1300</td>\n",
              "      <td>-2.4390</td>\n",
              "      <td>0.1591</td>\n",
              "      <td>-2.2490</td>\n",
              "      <td>-2.5860</td>\n",
              "      <td>-1.9520</td>\n",
              "      <td>-2.1810</td>\n",
              "      <td>-4.6690</td>\n",
              "      <td>-3.9450</td>\n",
              "      <td>-2.9560</td>\n",
              "      <td>-2.7930</td>\n",
              "      <td>-2.1560</td>\n",
              "      <td>-2.4100</td>\n",
              "      <td>-1.8190</td>\n",
              "      <td>-3.3480</td>\n",
              "      <td>-0.1414</td>\n",
              "      <td>-2.6430</td>\n",
              "      <td>-2.5810</td>\n",
              "      <td>-3.3890</td>\n",
              "      <td>-1.7450</td>\n",
              "      <td>-6.6300</td>\n",
              "      <td>-4.0950</td>\n",
              "      <td>-7.3860</td>\n",
              "      <td>-1.4160</td>\n",
              "      <td>-3.5770</td>\n",
              "      <td>-0.4775</td>\n",
              "      <td>-2.1500</td>\n",
              "      <td>-4.2520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>23814 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...    c-96    c-97    c-98    c-99\n",
              "0      id_000644bb2     com_droga     24   D1  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1      id_000779bfc     com_droga     72   D1  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2      id_000a6266a     com_droga     48   D1  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "3      id_0015fd391     com_droga     48   D1  ... -1.6210 -0.8784 -0.3876 -0.8154\n",
              "4      id_001626bd3     com_droga     72   D2  ...  0.1094  0.2885 -0.3786  0.7125\n",
              "...             ...           ...    ...  ...  ...     ...     ...     ...     ...\n",
              "23809  id_fffb1ceed     com_droga     24   D2  ...  0.0631  0.9171  0.5258  0.4680\n",
              "23810  id_fffb70c0c     com_droga     24   D2  ... -0.2084 -0.1224 -0.2715  0.3689\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "23812  id_fffcb9e7c     com_droga     24   D1  ...  0.1732  0.7015 -0.6290  0.0740\n",
              "23813  id_ffffdd77b     com_droga     72   D1  ... -3.5770 -0.4775 -2.1500 -4.2520\n",
              "\n",
              "[23814 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qKroaoFp8Z0r"
      },
      "source": [
        "# Desafio 01 - Investigar por que a classe tratamento é tão desbalanceada?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A26K-RYv8ZCJ",
        "outputId": "bdc1501e-e2a5-4859-db8f-485b88ff30d2"
      },
      "source": [
        "dados.tratamento.value_counts()"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "com_droga       21948\n",
              "com_controle     1866\n",
              "Name: tratamento, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9UUitRku8ewk"
      },
      "source": [
        "A classe tratamento é desbalanceado, porque os experiementos podem ser realizados com diferentes dosagens de droga e em diferente tempos, porém o controle não possui tantas variações."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yo2qQq8R8ih8"
      },
      "source": [
        "# Desafio 02 - Plotar as 5 últimas linhas da tabela"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ydrPU-688mfl",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "outputId": "8e91813d-f745-44a9-810d-2f54b0297643"
      },
      "source": [
        "dados.iloc[-5:]"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>droga</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>23809</th>\n",
              "      <td>id_fffb1ceed</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>df1d0a5a1</td>\n",
              "      <td>0.1394</td>\n",
              "      <td>-0.0636</td>\n",
              "      <td>-0.1112</td>\n",
              "      <td>-0.5080</td>\n",
              "      <td>-0.4713</td>\n",
              "      <td>0.7201</td>\n",
              "      <td>0.5773</td>\n",
              "      <td>0.3055</td>\n",
              "      <td>-0.4726</td>\n",
              "      <td>0.1269</td>\n",
              "      <td>0.2531</td>\n",
              "      <td>0.1730</td>\n",
              "      <td>-0.4532</td>\n",
              "      <td>-1.0790</td>\n",
              "      <td>0.2474</td>\n",
              "      <td>-0.4550</td>\n",
              "      <td>0.3588</td>\n",
              "      <td>0.1600</td>\n",
              "      <td>-0.7362</td>\n",
              "      <td>-0.1103</td>\n",
              "      <td>0.8550</td>\n",
              "      <td>-0.4139</td>\n",
              "      <td>0.5541</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.5573</td>\n",
              "      <td>-0.4397</td>\n",
              "      <td>-0.9260</td>\n",
              "      <td>-0.2424</td>\n",
              "      <td>-0.6686</td>\n",
              "      <td>0.2326</td>\n",
              "      <td>0.6456</td>\n",
              "      <td>0.0136</td>\n",
              "      <td>-0.5141</td>\n",
              "      <td>-0.6320</td>\n",
              "      <td>0.7166</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0807</td>\n",
              "      <td>0.4024</td>\n",
              "      <td>-0.0895</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9641</td>\n",
              "      <td>-0.1846</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>0.3154</td>\n",
              "      <td>-0.2071</td>\n",
              "      <td>-0.6158</td>\n",
              "      <td>-0.2977</td>\n",
              "      <td>0.0992</td>\n",
              "      <td>0.6838</td>\n",
              "      <td>0.5259</td>\n",
              "      <td>0.7882</td>\n",
              "      <td>0.3119</td>\n",
              "      <td>-0.7697</td>\n",
              "      <td>0.2203</td>\n",
              "      <td>-1.0710</td>\n",
              "      <td>0.5979</td>\n",
              "      <td>0.0848</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.6293</td>\n",
              "      <td>1.1660</td>\n",
              "      <td>0.3329</td>\n",
              "      <td>0.2754</td>\n",
              "      <td>0.4108</td>\n",
              "      <td>-0.1252</td>\n",
              "      <td>-0.2340</td>\n",
              "      <td>0.2267</td>\n",
              "      <td>0.1969</td>\n",
              "      <td>0.0262</td>\n",
              "      <td>-0.8121</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.5372</td>\n",
              "      <td>-0.3246</td>\n",
              "      <td>0.0631</td>\n",
              "      <td>0.9171</td>\n",
              "      <td>0.5258</td>\n",
              "      <td>0.4680</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23810</th>\n",
              "      <td>id_fffb70c0c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>ecf3b6b74</td>\n",
              "      <td>-1.3260</td>\n",
              "      <td>0.3478</td>\n",
              "      <td>-0.3743</td>\n",
              "      <td>0.9905</td>\n",
              "      <td>-0.7178</td>\n",
              "      <td>0.6621</td>\n",
              "      <td>-0.2252</td>\n",
              "      <td>-0.5565</td>\n",
              "      <td>0.5112</td>\n",
              "      <td>0.6727</td>\n",
              "      <td>-0.1851</td>\n",
              "      <td>2.8650</td>\n",
              "      <td>-0.2140</td>\n",
              "      <td>-0.6153</td>\n",
              "      <td>0.8362</td>\n",
              "      <td>0.5584</td>\n",
              "      <td>-0.2589</td>\n",
              "      <td>0.1292</td>\n",
              "      <td>0.0148</td>\n",
              "      <td>0.0949</td>\n",
              "      <td>-0.2182</td>\n",
              "      <td>-0.9235</td>\n",
              "      <td>0.0749</td>\n",
              "      <td>-1.5910</td>\n",
              "      <td>-0.8359</td>\n",
              "      <td>-0.9217</td>\n",
              "      <td>0.3013</td>\n",
              "      <td>0.1716</td>\n",
              "      <td>0.0880</td>\n",
              "      <td>0.1842</td>\n",
              "      <td>0.1835</td>\n",
              "      <td>0.5436</td>\n",
              "      <td>-0.0533</td>\n",
              "      <td>-0.0491</td>\n",
              "      <td>0.9543</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1410</td>\n",
              "      <td>1.2640</td>\n",
              "      <td>-0.8663</td>\n",
              "      <td>0.8129</td>\n",
              "      <td>-0.1514</td>\n",
              "      <td>-0.4652</td>\n",
              "      <td>-0.7390</td>\n",
              "      <td>-1.3270</td>\n",
              "      <td>0.9925</td>\n",
              "      <td>1.0570</td>\n",
              "      <td>-0.3355</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.8219</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>-0.2942</td>\n",
              "      <td>0.2408</td>\n",
              "      <td>-0.7781</td>\n",
              "      <td>-0.0929</td>\n",
              "      <td>-0.0329</td>\n",
              "      <td>0.0781</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>0.3188</td>\n",
              "      <td>-1.1080</td>\n",
              "      <td>0.4895</td>\n",
              "      <td>-0.2144</td>\n",
              "      <td>1.0960</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.4444</td>\n",
              "      <td>-1.1130</td>\n",
              "      <td>0.4286</td>\n",
              "      <td>0.4426</td>\n",
              "      <td>0.0423</td>\n",
              "      <td>-0.3195</td>\n",
              "      <td>-0.8086</td>\n",
              "      <td>-0.9798</td>\n",
              "      <td>-0.2084</td>\n",
              "      <td>-0.1224</td>\n",
              "      <td>-0.2715</td>\n",
              "      <td>0.3689</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6845</td>\n",
              "      <td>0.7127</td>\n",
              "      <td>0.7294</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>id_fffcb9e7c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.4392</td>\n",
              "      <td>0.2044</td>\n",
              "      <td>0.8531</td>\n",
              "      <td>-0.0343</td>\n",
              "      <td>0.0323</td>\n",
              "      <td>0.0463</td>\n",
              "      <td>0.4299</td>\n",
              "      <td>-0.7985</td>\n",
              "      <td>0.5742</td>\n",
              "      <td>0.1421</td>\n",
              "      <td>2.2700</td>\n",
              "      <td>0.2046</td>\n",
              "      <td>0.5363</td>\n",
              "      <td>-1.7330</td>\n",
              "      <td>0.1450</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.2024</td>\n",
              "      <td>0.9865</td>\n",
              "      <td>-0.7805</td>\n",
              "      <td>0.9608</td>\n",
              "      <td>0.3440</td>\n",
              "      <td>2.7650</td>\n",
              "      <td>0.4925</td>\n",
              "      <td>0.6698</td>\n",
              "      <td>0.2374</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.8771</td>\n",
              "      <td>-2.6560</td>\n",
              "      <td>-0.2000</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.6797</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>-0.0927</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3360</td>\n",
              "      <td>-0.6136</td>\n",
              "      <td>0.5011</td>\n",
              "      <td>0.9261</td>\n",
              "      <td>0.4419</td>\n",
              "      <td>0.0295</td>\n",
              "      <td>0.4220</td>\n",
              "      <td>0.4677</td>\n",
              "      <td>-0.1184</td>\n",
              "      <td>0.4524</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.1356</td>\n",
              "      <td>-0.5801</td>\n",
              "      <td>0.0411</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>-0.0270</td>\n",
              "      <td>-0.4194</td>\n",
              "      <td>0.7403</td>\n",
              "      <td>-0.6793</td>\n",
              "      <td>-0.1423</td>\n",
              "      <td>0.7307</td>\n",
              "      <td>0.7946</td>\n",
              "      <td>-0.0650</td>\n",
              "      <td>0.9038</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.9676</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.5187</td>\n",
              "      <td>-0.1105</td>\n",
              "      <td>0.4258</td>\n",
              "      <td>-0.2012</td>\n",
              "      <td>0.1506</td>\n",
              "      <td>1.5230</td>\n",
              "      <td>0.7101</td>\n",
              "      <td>0.1732</td>\n",
              "      <td>0.7015</td>\n",
              "      <td>-0.6290</td>\n",
              "      <td>0.0740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23813</th>\n",
              "      <td>id_ffffdd77b</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>972f41291</td>\n",
              "      <td>-0.8598</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>-0.1361</td>\n",
              "      <td>0.7952</td>\n",
              "      <td>-0.3611</td>\n",
              "      <td>-3.6750</td>\n",
              "      <td>-1.2420</td>\n",
              "      <td>0.9146</td>\n",
              "      <td>3.0790</td>\n",
              "      <td>1.2460</td>\n",
              "      <td>1.9460</td>\n",
              "      <td>1.4370</td>\n",
              "      <td>2.9780</td>\n",
              "      <td>2.2370</td>\n",
              "      <td>-0.6818</td>\n",
              "      <td>0.6870</td>\n",
              "      <td>-1.1060</td>\n",
              "      <td>0.0182</td>\n",
              "      <td>-0.9247</td>\n",
              "      <td>-0.0738</td>\n",
              "      <td>-0.1919</td>\n",
              "      <td>-0.7722</td>\n",
              "      <td>-1.4050</td>\n",
              "      <td>-1.0050</td>\n",
              "      <td>-1.1170</td>\n",
              "      <td>-0.5293</td>\n",
              "      <td>-1.1720</td>\n",
              "      <td>-0.2885</td>\n",
              "      <td>0.1599</td>\n",
              "      <td>-0.4250</td>\n",
              "      <td>0.3591</td>\n",
              "      <td>-0.1420</td>\n",
              "      <td>-0.9530</td>\n",
              "      <td>-0.2005</td>\n",
              "      <td>-1.8340</td>\n",
              "      <td>...</td>\n",
              "      <td>-6.9170</td>\n",
              "      <td>-1.8640</td>\n",
              "      <td>-2.5090</td>\n",
              "      <td>-4.7130</td>\n",
              "      <td>-1.7250</td>\n",
              "      <td>-3.8650</td>\n",
              "      <td>-3.0800</td>\n",
              "      <td>-4.1530</td>\n",
              "      <td>-1.2030</td>\n",
              "      <td>-1.1690</td>\n",
              "      <td>-4.1460</td>\n",
              "      <td>-1.2670</td>\n",
              "      <td>-1.1300</td>\n",
              "      <td>-2.4390</td>\n",
              "      <td>0.1591</td>\n",
              "      <td>-2.2490</td>\n",
              "      <td>-2.5860</td>\n",
              "      <td>-1.9520</td>\n",
              "      <td>-2.1810</td>\n",
              "      <td>-4.6690</td>\n",
              "      <td>-3.9450</td>\n",
              "      <td>-2.9560</td>\n",
              "      <td>-2.7930</td>\n",
              "      <td>-2.1560</td>\n",
              "      <td>-2.4100</td>\n",
              "      <td>-1.8190</td>\n",
              "      <td>-3.3480</td>\n",
              "      <td>-0.1414</td>\n",
              "      <td>-2.6430</td>\n",
              "      <td>-2.5810</td>\n",
              "      <td>-3.3890</td>\n",
              "      <td>-1.7450</td>\n",
              "      <td>-6.6300</td>\n",
              "      <td>-4.0950</td>\n",
              "      <td>-7.3860</td>\n",
              "      <td>-1.4160</td>\n",
              "      <td>-3.5770</td>\n",
              "      <td>-0.4775</td>\n",
              "      <td>-2.1500</td>\n",
              "      <td>-4.2520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...    c-96    c-97    c-98    c-99\n",
              "23809  id_fffb1ceed     com_droga     24   D2  ...  0.0631  0.9171  0.5258  0.4680\n",
              "23810  id_fffb70c0c     com_droga     24   D2  ... -0.2084 -0.1224 -0.2715  0.3689\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "23812  id_fffcb9e7c     com_droga     24   D1  ...  0.1732  0.7015 -0.6290  0.0740\n",
              "23813  id_ffffdd77b     com_droga     72   D1  ... -3.5770 -0.4775 -2.1500 -4.2520\n",
              "\n",
              "[5 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q8eThyPB8q5G",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "outputId": "4c9cb5e5-cc4d-4c44-9421-947064f71bf8"
      },
      "source": [
        "dados.tail()"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>droga</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
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              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>23809</th>\n",
              "      <td>id_fffb1ceed</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>df1d0a5a1</td>\n",
              "      <td>0.1394</td>\n",
              "      <td>-0.0636</td>\n",
              "      <td>-0.1112</td>\n",
              "      <td>-0.5080</td>\n",
              "      <td>-0.4713</td>\n",
              "      <td>0.7201</td>\n",
              "      <td>0.5773</td>\n",
              "      <td>0.3055</td>\n",
              "      <td>-0.4726</td>\n",
              "      <td>0.1269</td>\n",
              "      <td>0.2531</td>\n",
              "      <td>0.1730</td>\n",
              "      <td>-0.4532</td>\n",
              "      <td>-1.0790</td>\n",
              "      <td>0.2474</td>\n",
              "      <td>-0.4550</td>\n",
              "      <td>0.3588</td>\n",
              "      <td>0.1600</td>\n",
              "      <td>-0.7362</td>\n",
              "      <td>-0.1103</td>\n",
              "      <td>0.8550</td>\n",
              "      <td>-0.4139</td>\n",
              "      <td>0.5541</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.5573</td>\n",
              "      <td>-0.4397</td>\n",
              "      <td>-0.9260</td>\n",
              "      <td>-0.2424</td>\n",
              "      <td>-0.6686</td>\n",
              "      <td>0.2326</td>\n",
              "      <td>0.6456</td>\n",
              "      <td>0.0136</td>\n",
              "      <td>-0.5141</td>\n",
              "      <td>-0.6320</td>\n",
              "      <td>0.7166</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0807</td>\n",
              "      <td>0.4024</td>\n",
              "      <td>-0.0895</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9641</td>\n",
              "      <td>-0.1846</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>0.3154</td>\n",
              "      <td>-0.2071</td>\n",
              "      <td>-0.6158</td>\n",
              "      <td>-0.2977</td>\n",
              "      <td>0.0992</td>\n",
              "      <td>0.6838</td>\n",
              "      <td>0.5259</td>\n",
              "      <td>0.7882</td>\n",
              "      <td>0.3119</td>\n",
              "      <td>-0.7697</td>\n",
              "      <td>0.2203</td>\n",
              "      <td>-1.0710</td>\n",
              "      <td>0.5979</td>\n",
              "      <td>0.0848</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.6293</td>\n",
              "      <td>1.1660</td>\n",
              "      <td>0.3329</td>\n",
              "      <td>0.2754</td>\n",
              "      <td>0.4108</td>\n",
              "      <td>-0.1252</td>\n",
              "      <td>-0.2340</td>\n",
              "      <td>0.2267</td>\n",
              "      <td>0.1969</td>\n",
              "      <td>0.0262</td>\n",
              "      <td>-0.8121</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.5372</td>\n",
              "      <td>-0.3246</td>\n",
              "      <td>0.0631</td>\n",
              "      <td>0.9171</td>\n",
              "      <td>0.5258</td>\n",
              "      <td>0.4680</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23810</th>\n",
              "      <td>id_fffb70c0c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D2</td>\n",
              "      <td>ecf3b6b74</td>\n",
              "      <td>-1.3260</td>\n",
              "      <td>0.3478</td>\n",
              "      <td>-0.3743</td>\n",
              "      <td>0.9905</td>\n",
              "      <td>-0.7178</td>\n",
              "      <td>0.6621</td>\n",
              "      <td>-0.2252</td>\n",
              "      <td>-0.5565</td>\n",
              "      <td>0.5112</td>\n",
              "      <td>0.6727</td>\n",
              "      <td>-0.1851</td>\n",
              "      <td>2.8650</td>\n",
              "      <td>-0.2140</td>\n",
              "      <td>-0.6153</td>\n",
              "      <td>0.8362</td>\n",
              "      <td>0.5584</td>\n",
              "      <td>-0.2589</td>\n",
              "      <td>0.1292</td>\n",
              "      <td>0.0148</td>\n",
              "      <td>0.0949</td>\n",
              "      <td>-0.2182</td>\n",
              "      <td>-0.9235</td>\n",
              "      <td>0.0749</td>\n",
              "      <td>-1.5910</td>\n",
              "      <td>-0.8359</td>\n",
              "      <td>-0.9217</td>\n",
              "      <td>0.3013</td>\n",
              "      <td>0.1716</td>\n",
              "      <td>0.0880</td>\n",
              "      <td>0.1842</td>\n",
              "      <td>0.1835</td>\n",
              "      <td>0.5436</td>\n",
              "      <td>-0.0533</td>\n",
              "      <td>-0.0491</td>\n",
              "      <td>0.9543</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1410</td>\n",
              "      <td>1.2640</td>\n",
              "      <td>-0.8663</td>\n",
              "      <td>0.8129</td>\n",
              "      <td>-0.1514</td>\n",
              "      <td>-0.4652</td>\n",
              "      <td>-0.7390</td>\n",
              "      <td>-1.3270</td>\n",
              "      <td>0.9925</td>\n",
              "      <td>1.0570</td>\n",
              "      <td>-0.3355</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.8219</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>-0.2942</td>\n",
              "      <td>0.2408</td>\n",
              "      <td>-0.7781</td>\n",
              "      <td>-0.0929</td>\n",
              "      <td>-0.0329</td>\n",
              "      <td>0.0781</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>0.3188</td>\n",
              "      <td>-1.1080</td>\n",
              "      <td>0.4895</td>\n",
              "      <td>-0.2144</td>\n",
              "      <td>1.0960</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.4444</td>\n",
              "      <td>-1.1130</td>\n",
              "      <td>0.4286</td>\n",
              "      <td>0.4426</td>\n",
              "      <td>0.0423</td>\n",
              "      <td>-0.3195</td>\n",
              "      <td>-0.8086</td>\n",
              "      <td>-0.9798</td>\n",
              "      <td>-0.2084</td>\n",
              "      <td>-0.1224</td>\n",
              "      <td>-0.2715</td>\n",
              "      <td>0.3689</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>48</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>...</td>\n",
              "      <td>0.6845</td>\n",
              "      <td>0.7127</td>\n",
              "      <td>0.7294</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>id_fffcb9e7c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.4392</td>\n",
              "      <td>0.2044</td>\n",
              "      <td>0.8531</td>\n",
              "      <td>-0.0343</td>\n",
              "      <td>0.0323</td>\n",
              "      <td>0.0463</td>\n",
              "      <td>0.4299</td>\n",
              "      <td>-0.7985</td>\n",
              "      <td>0.5742</td>\n",
              "      <td>0.1421</td>\n",
              "      <td>2.2700</td>\n",
              "      <td>0.2046</td>\n",
              "      <td>0.5363</td>\n",
              "      <td>-1.7330</td>\n",
              "      <td>0.1450</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.2024</td>\n",
              "      <td>0.9865</td>\n",
              "      <td>-0.7805</td>\n",
              "      <td>0.9608</td>\n",
              "      <td>0.3440</td>\n",
              "      <td>2.7650</td>\n",
              "      <td>0.4925</td>\n",
              "      <td>0.6698</td>\n",
              "      <td>0.2374</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.8771</td>\n",
              "      <td>-2.6560</td>\n",
              "      <td>-0.2000</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.6797</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>-0.0927</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3360</td>\n",
              "      <td>-0.6136</td>\n",
              "      <td>0.5011</td>\n",
              "      <td>0.9261</td>\n",
              "      <td>0.4419</td>\n",
              "      <td>0.0295</td>\n",
              "      <td>0.4220</td>\n",
              "      <td>0.4677</td>\n",
              "      <td>-0.1184</td>\n",
              "      <td>0.4524</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.1356</td>\n",
              "      <td>-0.5801</td>\n",
              "      <td>0.0411</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>-0.0270</td>\n",
              "      <td>-0.4194</td>\n",
              "      <td>0.7403</td>\n",
              "      <td>-0.6793</td>\n",
              "      <td>-0.1423</td>\n",
              "      <td>0.7307</td>\n",
              "      <td>0.7946</td>\n",
              "      <td>-0.0650</td>\n",
              "      <td>0.9038</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.9676</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.5187</td>\n",
              "      <td>-0.1105</td>\n",
              "      <td>0.4258</td>\n",
              "      <td>-0.2012</td>\n",
              "      <td>0.1506</td>\n",
              "      <td>1.5230</td>\n",
              "      <td>0.7101</td>\n",
              "      <td>0.1732</td>\n",
              "      <td>0.7015</td>\n",
              "      <td>-0.6290</td>\n",
              "      <td>0.0740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23813</th>\n",
              "      <td>id_ffffdd77b</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>972f41291</td>\n",
              "      <td>-0.8598</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>-0.1361</td>\n",
              "      <td>0.7952</td>\n",
              "      <td>-0.3611</td>\n",
              "      <td>-3.6750</td>\n",
              "      <td>-1.2420</td>\n",
              "      <td>0.9146</td>\n",
              "      <td>3.0790</td>\n",
              "      <td>1.2460</td>\n",
              "      <td>1.9460</td>\n",
              "      <td>1.4370</td>\n",
              "      <td>2.9780</td>\n",
              "      <td>2.2370</td>\n",
              "      <td>-0.6818</td>\n",
              "      <td>0.6870</td>\n",
              "      <td>-1.1060</td>\n",
              "      <td>0.0182</td>\n",
              "      <td>-0.9247</td>\n",
              "      <td>-0.0738</td>\n",
              "      <td>-0.1919</td>\n",
              "      <td>-0.7722</td>\n",
              "      <td>-1.4050</td>\n",
              "      <td>-1.0050</td>\n",
              "      <td>-1.1170</td>\n",
              "      <td>-0.5293</td>\n",
              "      <td>-1.1720</td>\n",
              "      <td>-0.2885</td>\n",
              "      <td>0.1599</td>\n",
              "      <td>-0.4250</td>\n",
              "      <td>0.3591</td>\n",
              "      <td>-0.1420</td>\n",
              "      <td>-0.9530</td>\n",
              "      <td>-0.2005</td>\n",
              "      <td>-1.8340</td>\n",
              "      <td>...</td>\n",
              "      <td>-6.9170</td>\n",
              "      <td>-1.8640</td>\n",
              "      <td>-2.5090</td>\n",
              "      <td>-4.7130</td>\n",
              "      <td>-1.7250</td>\n",
              "      <td>-3.8650</td>\n",
              "      <td>-3.0800</td>\n",
              "      <td>-4.1530</td>\n",
              "      <td>-1.2030</td>\n",
              "      <td>-1.1690</td>\n",
              "      <td>-4.1460</td>\n",
              "      <td>-1.2670</td>\n",
              "      <td>-1.1300</td>\n",
              "      <td>-2.4390</td>\n",
              "      <td>0.1591</td>\n",
              "      <td>-2.2490</td>\n",
              "      <td>-2.5860</td>\n",
              "      <td>-1.9520</td>\n",
              "      <td>-2.1810</td>\n",
              "      <td>-4.6690</td>\n",
              "      <td>-3.9450</td>\n",
              "      <td>-2.9560</td>\n",
              "      <td>-2.7930</td>\n",
              "      <td>-2.1560</td>\n",
              "      <td>-2.4100</td>\n",
              "      <td>-1.8190</td>\n",
              "      <td>-3.3480</td>\n",
              "      <td>-0.1414</td>\n",
              "      <td>-2.6430</td>\n",
              "      <td>-2.5810</td>\n",
              "      <td>-3.3890</td>\n",
              "      <td>-1.7450</td>\n",
              "      <td>-6.6300</td>\n",
              "      <td>-4.0950</td>\n",
              "      <td>-7.3860</td>\n",
              "      <td>-1.4160</td>\n",
              "      <td>-3.5770</td>\n",
              "      <td>-0.4775</td>\n",
              "      <td>-2.1500</td>\n",
              "      <td>-4.2520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento  tempo dose  ...    c-96    c-97    c-98    c-99\n",
              "23809  id_fffb1ceed     com_droga     24   D2  ...  0.0631  0.9171  0.5258  0.4680\n",
              "23810  id_fffb70c0c     com_droga     24   D2  ... -0.2084 -0.1224 -0.2715  0.3689\n",
              "23811  id_fffc1c3f4  com_controle     48   D2  ...  0.2256  0.7592  0.6656  0.3808\n",
              "23812  id_fffcb9e7c     com_droga     24   D1  ...  0.1732  0.7015 -0.6290  0.0740\n",
              "23813  id_ffffdd77b     com_droga     72   D1  ... -3.5770 -0.4775 -2.1500 -4.2520\n",
              "\n",
              "[5 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l6HOds7N8sGG"
      },
      "source": [
        "# Desafio 03 - Proporção das classes tratamento."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yE8yMGXV8v9g",
        "outputId": "602bdc61-e55d-40dd-8dd1-5a5b855206b6"
      },
      "source": [
        "proporcao_tratamento = dados['tratamento'].value_counts(normalize = True).mul(100).round(2).astype(str) + '%'\n",
        "proporcao_tratamento "
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "com_droga       92.16%\n",
              "com_controle     7.84%\n",
              "Name: tratamento, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oakj6l7L82de"
      },
      "source": [
        "# Desafio 04 - Quantas tipos de drogas foram investigados."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0efrrOac81v1",
        "outputId": "109b3b7a-632a-4c99-8a8c-8fda911fc51f"
      },
      "source": [
        "drogas_analizadas = len(dados['droga'].value_counts())\n",
        "print(f'Foram analizadas {drogas_analizadas} drogas no experimento')"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Foram analizadas 3289 drogas no experimento\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XnjrnGWN8-Xo"
      },
      "source": [
        "# Desafio 06 - Renomear as colunas tirando o hífen."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XF5uMJu99IAZ"
      },
      "source": [
        "*metodo mais rápido, contudo indiscriminado*"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2q9-nIG99Ex6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "outputId": "012eb1ce-844d-4c2f-9046-00fd939f302b"
      },
      "source": [
        "dados.columns = [coluna.replace('-', '') for coluna in dados.columns]\n",
        "dados.head()"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>droga</th>\n",
              "      <th>g0</th>\n",
              "      <th>g1</th>\n",
              "      <th>g2</th>\n",
              "      <th>g3</th>\n",
              "      <th>g4</th>\n",
              "      <th>g5</th>\n",
              "      <th>g6</th>\n",
              "      <th>g7</th>\n",
              "      <th>g8</th>\n",
              "      <th>g9</th>\n",
              "      <th>g10</th>\n",
              "      <th>g11</th>\n",
              "      <th>g12</th>\n",
              "      <th>g13</th>\n",
              "      <th>g14</th>\n",
              "      <th>g15</th>\n",
              "      <th>g16</th>\n",
              "      <th>g17</th>\n",
              "      <th>g18</th>\n",
              "      <th>g19</th>\n",
              "      <th>g20</th>\n",
              "      <th>g21</th>\n",
              "      <th>g22</th>\n",
              "      <th>g23</th>\n",
              "      <th>g24</th>\n",
              "      <th>g25</th>\n",
              "      <th>g26</th>\n",
              "      <th>g27</th>\n",
              "      <th>g28</th>\n",
              "      <th>g29</th>\n",
              "      <th>g30</th>\n",
              "      <th>g31</th>\n",
              "      <th>g32</th>\n",
              "      <th>g33</th>\n",
              "      <th>g34</th>\n",
              "      <th>...</th>\n",
              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
              "      <th>c62</th>\n",
              "      <th>c63</th>\n",
              "      <th>c64</th>\n",
              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
              "      <th>c69</th>\n",
              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4805</td>\n",
              "      <td>0.4965</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.1220</td>\n",
              "      <td>-0.3752</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id tratamento  tempo dose  ...     c96     c97     c98     c99\n",
              "0  id_000644bb2  com_droga     24   D1  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1  id_000779bfc  com_droga     72   D1  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2  id_000a6266a  com_droga     48   D1  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "3  id_0015fd391  com_droga     48   D1  ... -1.6210 -0.8784 -0.3876 -0.8154\n",
              "4  id_001626bd3  com_droga     72   D2  ...  0.1094  0.2885 -0.3786  0.7125\n",
              "\n",
              "[5 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eCtB1s6g9Kjs"
      },
      "source": [
        "*método mais extenso, porém mais direcionado*"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LulupYYT9NOj",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "outputId": "a743dbbb-6a6f-4333-cd83-78ef0379484c"
      },
      "source": [
        "colunas = dados.columns[5:]\n",
        "rename_column = []\n",
        "for c in colunas:\n",
        "  sep = c.split('-')\n",
        "  rename_column.append(''.join(sep))\n",
        "\n",
        "colunas_novas = dict(zip(colunas,rename_column))\n",
        "\n",
        "dados.rename(columns=colunas_novas, inplace= True)\n",
        "\n",
        "dados.head()"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>droga</th>\n",
              "      <th>g0</th>\n",
              "      <th>g1</th>\n",
              "      <th>g2</th>\n",
              "      <th>g3</th>\n",
              "      <th>g4</th>\n",
              "      <th>g5</th>\n",
              "      <th>g6</th>\n",
              "      <th>g7</th>\n",
              "      <th>g8</th>\n",
              "      <th>g9</th>\n",
              "      <th>g10</th>\n",
              "      <th>g11</th>\n",
              "      <th>g12</th>\n",
              "      <th>g13</th>\n",
              "      <th>g14</th>\n",
              "      <th>g15</th>\n",
              "      <th>g16</th>\n",
              "      <th>g17</th>\n",
              "      <th>g18</th>\n",
              "      <th>g19</th>\n",
              "      <th>g20</th>\n",
              "      <th>g21</th>\n",
              "      <th>g22</th>\n",
              "      <th>g23</th>\n",
              "      <th>g24</th>\n",
              "      <th>g25</th>\n",
              "      <th>g26</th>\n",
              "      <th>g27</th>\n",
              "      <th>g28</th>\n",
              "      <th>g29</th>\n",
              "      <th>g30</th>\n",
              "      <th>g31</th>\n",
              "      <th>g32</th>\n",
              "      <th>g33</th>\n",
              "      <th>g34</th>\n",
              "      <th>...</th>\n",
              "      <th>c60</th>\n",
              "      <th>c61</th>\n",
              "      <th>c62</th>\n",
              "      <th>c63</th>\n",
              "      <th>c64</th>\n",
              "      <th>c65</th>\n",
              "      <th>c66</th>\n",
              "      <th>c67</th>\n",
              "      <th>c68</th>\n",
              "      <th>c69</th>\n",
              "      <th>c70</th>\n",
              "      <th>c71</th>\n",
              "      <th>c72</th>\n",
              "      <th>c73</th>\n",
              "      <th>c74</th>\n",
              "      <th>c75</th>\n",
              "      <th>c76</th>\n",
              "      <th>c77</th>\n",
              "      <th>c78</th>\n",
              "      <th>c79</th>\n",
              "      <th>c80</th>\n",
              "      <th>c81</th>\n",
              "      <th>c82</th>\n",
              "      <th>c83</th>\n",
              "      <th>c84</th>\n",
              "      <th>c85</th>\n",
              "      <th>c86</th>\n",
              "      <th>c87</th>\n",
              "      <th>c88</th>\n",
              "      <th>c89</th>\n",
              "      <th>c90</th>\n",
              "      <th>c91</th>\n",
              "      <th>c92</th>\n",
              "      <th>c93</th>\n",
              "      <th>c94</th>\n",
              "      <th>c95</th>\n",
              "      <th>c96</th>\n",
              "      <th>c97</th>\n",
              "      <th>c98</th>\n",
              "      <th>c99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4805</td>\n",
              "      <td>0.4965</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.1220</td>\n",
              "      <td>-0.3752</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id tratamento  tempo dose  ...     c96     c97     c98     c99\n",
              "0  id_000644bb2  com_droga     24   D1  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1  id_000779bfc  com_droga     72   D1  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2  id_000a6266a  com_droga     48   D1  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "3  id_0015fd391  com_droga     48   D1  ... -1.6210 -0.8784 -0.3876 -0.8154\n",
              "4  id_001626bd3  com_droga     72   D2  ...  0.1094  0.2885 -0.3786  0.7125\n",
              "\n",
              "[5 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GObIfBLb9sVg"
      },
      "source": [
        "# Desafio 07 - Deixar os gráficos bonitões. (Matplotlib.pyplot)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I6OMsS1s-YoL"
      },
      "source": [
        "drogas = dados.droga.value_counts().index[:5]\n",
        "drogas_mais = dados.query('droga in @drogas')\n"
      ],
      "execution_count": 45,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xUNE6xUIwBH1",
        "outputId": "0c9ecb2c-fc6d-4662-9906-65425e0b5400"
      },
      "source": [
        "drogas"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['cacb2b860', '87d714366', '9f80f3f77', '8b87a7a83', '5628cb3ee'], dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 693
        },
        "id": "wv7spYeq9uRK",
        "outputId": "a9896b77-b545-4933-9668-7a228f66d35d"
      },
      "source": [
        "plt.figure(figsize=(10,7), dpi=100)\n",
        "ax = sns.countplot(x = 'droga', data=drogas_mais, order = drogas, palette=sns.color_palette('Set2'))\n",
        "ax.set_title('As Cinco drogas mais estudadas\\n'.upper(),fontsize= 18)\n",
        "ax.set_xlabel('\\nDrogas')\n",
        "ax.set_ylabel('Quantidade pesquisada\\n')\n",
        "plt.show()"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1000x700 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YFie2QCz-Bjg"
      },
      "source": [
        "tratamento = dados.tratamento.value_counts()"
      ],
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        },
        "id": "fuV7dLeM_7iS",
        "outputId": "84962769-07c0-4a1f-9b39-2170266541bf"
      },
      "source": [
        "ax = plt.subplots(figsize = (8,6))\n",
        "title = dados.keys()[1].upper()\n",
        "label = dados['tratamento'].unique()\n",
        "plt.pie(x=tratamento, labels=label, autopct=\"%.2f%%\")\n",
        "plt.title(title,fontsize=15)\n",
        "plt.show()"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 613
        },
        "id": "jgDPpUT0GRvy",
        "outputId": "0d6ce5d2-4b6a-4538-b130-a4c86819f7b4"
      },
      "source": [
        "# tempos = dados['tempo'].unique()\n",
        "plt.figure(figsize=(8,6), dpi = 100)\n",
        "ax = sns.countplot(x='tempo', data=dados, palette=sns.color_palette('Set2'))\n",
        "ax.set_title('DURAÇĀO DO TRATAMENTO\\n', fontsize=15)\n",
        "ax.set_xlabel('\\n Tempo (h)')\n",
        "ax.set_ylabel('Número de amostras testadas\\n ')\n",
        "plt.show()"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BX3xy7HGEWg5"
      },
      "source": [
        "# Desafio 08: Resumo do que você aprendeu com os dados"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "inoKQG38EdZ9"
      },
      "source": [
        "mais_utilizadas = sum(dados['droga'].value_counts().unique()[:5])\n",
        "todas_drogas = sum(dados['droga'].value_counts().unique())"
      ],
      "execution_count": 51,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N07ogRe_LjIz",
        "outputId": "d8a253cc-43bd-43b3-f22b-d2e8c20df78b"
      },
      "source": [
        "print(f'As 5 drogas mais utilizadas representam {((mais_utilizadas/todas_drogas)*100).round(2)}% do experimento realizado')"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "As 5 drogas mais utilizadas representam 78.67% do experimento realizado\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qdXpknfuPvZJ"
      },
      "source": [
        "\n",
        "> As 5 drogas mais utilizadas representam 78.67% do experimento realizado\n",
        "\n",
        "> Do total de experimento: 92.16% foram utilizados drogas, enquanto em 7.84% foram os controles dos experimentos.\n",
        "\n",
        "> Descobri que existem diferentes métodos para poder renomear as colunas de um DataFrame.\n",
        "\n",
        "> Escolher a melhor visualização para seu conjunto de dados pode te ajudar a inferir resultados que de outra forma seriam mais difíceis.\n",
        "\n",
        "> Os tempos de exposicão das drogas nas celulas foram similares para 24, 48 e 72 horas.\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mcyZxOMqNN1y"
      },
      "source": [
        ""
      ],
      "execution_count": 52,
      "outputs": []
    }
  ]
}