Aula03(desafios)_imersao_dados.ipynb

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  "metadata": {
    "colab": {
      "name": "Aula03(desafios)-imersao_dados.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPXCFgFG9oe4aMcdc/LECW1",
      "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/Aula03(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": "RAEYtryf4i4N"
      },
      "source": [
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "sns.set()"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GwCvLiai48D5"
      },
      "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"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "TlZ68cy9xZi1",
        "outputId": "1e187de8-3526-4194-807e-a921726975bd"
      },
      "source": [
        "dados.head()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>24</td>\n",
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              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
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              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
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              "      <td>0.3372</td>\n",
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              "      <td>-1.1520</td>\n",
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              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
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              "      <td>0.2839</td>\n",
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              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
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              "      <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",
              "  </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": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sHOs3UYY4_kh"
      },
      "source": [
        "dados.columns = [coluna.replace('-', '') for coluna in dados.columns]"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A6P-8PXr5II1"
      },
      "source": [
        "# Desafio 01 e 02: Criar tabelas de frequência com pandas.groupby() e normalizar os dados usando o pandas.groupby()"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "yCG2zi7z7Y4-",
        "outputId": "9140a7ed-27c9-49de-83e6-88c952d87e77"
      },
      "source": [
        "groupby_pd = pd.DataFrame(dados.groupby(['dose','tempo'])['tratamento'].value_counts(normalize=True).mul(100).round(2).astype(str) + '%')\n",
        "groupby_pd"
      ],
      "execution_count": 4,
      "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></th>\n",
              "      <th></th>\n",
              "      <th>tratamento</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dose</th>\n",
              "      <th>tempo</th>\n",
              "      <th>tratamento</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"6\" valign=\"top\">D1</th>\n",
              "      <th rowspan=\"2\" valign=\"top\">24</th>\n",
              "      <th>com_droga</th>\n",
              "      <td>92.25%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>com_controle</th>\n",
              "      <td>7.75%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">48</th>\n",
              "      <th>com_droga</th>\n",
              "      <td>92.12%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>com_controle</th>\n",
              "      <td>7.88%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">72</th>\n",
              "      <th>com_droga</th>\n",
              "      <td>92.14%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>com_controle</th>\n",
              "      <td>7.86%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"6\" valign=\"top\">D2</th>\n",
              "      <th rowspan=\"2\" valign=\"top\">24</th>\n",
              "      <th>com_droga</th>\n",
              "      <td>92.15%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>com_controle</th>\n",
              "      <td>7.85%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">48</th>\n",
              "      <th>com_droga</th>\n",
              "      <td>92.17%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>com_controle</th>\n",
              "      <td>7.83%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">72</th>\n",
              "      <th>com_droga</th>\n",
              "      <td>92.15%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>com_controle</th>\n",
              "      <td>7.85%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        tratamento\n",
              "dose tempo tratamento             \n",
              "D1   24    com_droga        92.25%\n",
              "           com_controle      7.75%\n",
              "     48    com_droga        92.12%\n",
              "           com_controle      7.88%\n",
              "     72    com_droga        92.14%\n",
              "           com_controle      7.86%\n",
              "D2   24    com_droga        92.15%\n",
              "           com_controle      7.85%\n",
              "     48    com_droga        92.17%\n",
              "           com_controle      7.83%\n",
              "     72    com_droga        92.15%\n",
              "           com_controle      7.85%"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jx3NZAeN5H7x"
      },
      "source": [
        "# Desafio 02: Normalizar o crosstab pela coluna."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 266
        },
        "id": "zCCME_w7E3hd",
        "outputId": "8ef8e28d-de31-4442-d281-01e1a5671bad"
      },
      "source": [
        "pd.crosstab([dados['dose'], dados['tempo']],  dados['tratamento'], normalize='index').mul(100).round(2).astype(str) + '%'"
      ],
      "execution_count": 5,
      "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>tratamento</th>\n",
              "      <th>com_controle</th>\n",
              "      <th>com_droga</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dose</th>\n",
              "      <th>tempo</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D1</th>\n",
              "      <th>24</th>\n",
              "      <td>7.75%</td>\n",
              "      <td>92.25%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>7.88%</td>\n",
              "      <td>92.12%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>7.86%</td>\n",
              "      <td>92.14%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D2</th>\n",
              "      <th>24</th>\n",
              "      <td>7.85%</td>\n",
              "      <td>92.15%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>7.83%</td>\n",
              "      <td>92.17%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>7.85%</td>\n",
              "      <td>92.15%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "tratamento com_controle com_droga\n",
              "dose tempo                       \n",
              "D1   24           7.75%    92.25%\n",
              "     48           7.88%    92.12%\n",
              "     72           7.86%    92.14%\n",
              "D2   24           7.85%    92.15%\n",
              "     48           7.83%    92.17%\n",
              "     72           7.85%    92.15%"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bIhIR3X65Hy9"
      },
      "source": [
        "# Desafio 03: Explorar outros agregadores."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "QNNMs-2SFGlY",
        "outputId": "06434df6-26c7-4087-ed63-b8808cf5384d"
      },
      "source": [
        "print('A função np.sum retorna a soma dos valores'.upper())\n",
        "pd.crosstab([dados['dose'], dados['tempo']],  dados['tratamento'], values=dados['g0'], aggfunc=np.sum)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "A FUNÇÃO NP.SUM RETORNA A SOMA DOS VALORES\n"
          ],
          "name": "stdout"
        },
        {
          "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>tratamento</th>\n",
              "      <th>com_controle</th>\n",
              "      <th>com_droga</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dose</th>\n",
              "      <th>tempo</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D1</th>\n",
              "      <th>24</th>\n",
              "      <td>-75.7799</td>\n",
              "      <td>1319.2648</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>-42.1113</td>\n",
              "      <td>1654.4150</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>-90.6483</td>\n",
              "      <td>1030.5010</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D2</th>\n",
              "      <th>24</th>\n",
              "      <td>3.2800</td>\n",
              "      <td>412.7202</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>4.0180</td>\n",
              "      <td>770.1980</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>21.4262</td>\n",
              "      <td>907.3112</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "tratamento  com_controle  com_droga\n",
              "dose tempo                         \n",
              "D1   24         -75.7799  1319.2648\n",
              "     48         -42.1113  1654.4150\n",
              "     72         -90.6483  1030.5010\n",
              "D2   24           3.2800   412.7202\n",
              "     48           4.0180   770.1980\n",
              "     72          21.4262   907.3112"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "dxz2b-fRGDpD",
        "outputId": "fb117eed-3ff7-4f13-aa3d-a50009991988"
      },
      "source": [
        "print('A função np.mean retorna a média dos valores'.upper())\n",
        "pd.crosstab([dados['dose'], dados['tempo']],  dados['tratamento'], values=dados['g0'], aggfunc=np.mean)"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "A FUNÇÃO NP.MEAN RETORNA A MÉDIA DOS VALORES\n"
          ],
          "name": "stdout"
        },
        {
          "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",
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              "    }\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>tratamento</th>\n",
              "      <th>com_controle</th>\n",
              "      <th>com_droga</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dose</th>\n",
              "      <th>tempo</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D1</th>\n",
              "      <th>24</th>\n",
              "      <td>-0.251760</td>\n",
              "      <td>0.367996</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>-0.122773</td>\n",
              "      <td>0.412469</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>-0.295271</td>\n",
              "      <td>0.286250</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D2</th>\n",
              "      <th>24</th>\n",
              "      <td>0.010754</td>\n",
              "      <td>0.115253</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>0.013174</td>\n",
              "      <td>0.214480</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>0.070250</td>\n",
              "      <td>0.253439</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "tratamento  com_controle  com_droga\n",
              "dose tempo                         \n",
              "D1   24        -0.251760   0.367996\n",
              "     48        -0.122773   0.412469\n",
              "     72        -0.295271   0.286250\n",
              "D2   24         0.010754   0.115253\n",
              "     48         0.013174   0.214480\n",
              "     72         0.070250   0.253439"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "46-jpZmFGMuQ",
        "outputId": "9cd7c0f1-cab4-4a68-babf-3ba266166d57"
      },
      "source": [
        "print('A função np.std retorna o Desvio Padrão dos valores'.upper())\n",
        "pd.crosstab([dados['dose'], dados['tempo']],  dados['tratamento'], values=dados['g0'], aggfunc=np.std)"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "A FUNÇÃO NP.STD RETORNA O DESVIO PADRÃO DOS VALORES\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>tratamento</th>\n",
              "      <th>com_controle</th>\n",
              "      <th>com_droga</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dose</th>\n",
              "      <th>tempo</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D1</th>\n",
              "      <th>24</th>\n",
              "      <td>0.751395</td>\n",
              "      <td>1.461954</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>0.853396</td>\n",
              "      <td>1.693903</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>0.769294</td>\n",
              "      <td>1.458600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D2</th>\n",
              "      <th>24</th>\n",
              "      <td>0.836626</td>\n",
              "      <td>1.044999</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>0.836845</td>\n",
              "      <td>1.315476</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>0.878041</td>\n",
              "      <td>1.451532</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "tratamento  com_controle  com_droga\n",
              "dose tempo                         \n",
              "D1   24         0.751395   1.461954\n",
              "     48         0.853396   1.693903\n",
              "     72         0.769294   1.458600\n",
              "D2   24         0.836626   1.044999\n",
              "     48         0.836845   1.315476\n",
              "     72         0.878041   1.451532"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "96ncnVWmGTk7",
        "outputId": "c83ba70b-74bb-4991-c19b-876f1a8b1946"
      },
      "source": [
        "print('A função np.min retorna o Valor mínimo dos valores'.upper())\n",
        "pd.crosstab([dados['dose'], dados['tempo']],  dados['tratamento'], values=dados['g0'], aggfunc=np.min)"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "A FUNÇÃO NP.MIN RETORNA O VALOR MÍNIMO DOS VALORES\n"
          ],
          "name": "stdout"
        },
        {
          "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>tratamento</th>\n",
              "      <th>com_controle</th>\n",
              "      <th>com_droga</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dose</th>\n",
              "      <th>tempo</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D1</th>\n",
              "      <th>24</th>\n",
              "      <td>-2.370</td>\n",
              "      <td>-5.183</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>-3.276</td>\n",
              "      <td>-5.420</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>-2.086</td>\n",
              "      <td>-5.261</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D2</th>\n",
              "      <th>24</th>\n",
              "      <td>-2.135</td>\n",
              "      <td>-5.233</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>-4.859</td>\n",
              "      <td>-4.567</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>-1.909</td>\n",
              "      <td>-5.513</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "tratamento  com_controle  com_droga\n",
              "dose tempo                         \n",
              "D1   24           -2.370     -5.183\n",
              "     48           -3.276     -5.420\n",
              "     72           -2.086     -5.261\n",
              "D2   24           -2.135     -5.233\n",
              "     48           -4.859     -4.567\n",
              "     72           -1.909     -5.513"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "IWOh3eQLGc9r",
        "outputId": "b2a89e9a-8d39-4017-8651-60f4b4654b0d"
      },
      "source": [
        "print('A função np.max retorna o Valor maximo dos valores'.upper())\n",
        "pd.crosstab([dados['dose'], dados['tempo']],  dados['tratamento'], values=dados['g0'], aggfunc=np.max)"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "A FUNÇÃO NP.MAX RETORNA O VALOR MAXIMO DOS VALORES\n"
          ],
          "name": "stdout"
        },
        {
          "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>tratamento</th>\n",
              "      <th>com_controle</th>\n",
              "      <th>com_droga</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dose</th>\n",
              "      <th>tempo</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D1</th>\n",
              "      <th>24</th>\n",
              "      <td>3.226</td>\n",
              "      <td>9.908</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>3.423</td>\n",
              "      <td>10.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>2.584</td>\n",
              "      <td>9.355</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D2</th>\n",
              "      <th>24</th>\n",
              "      <td>2.601</td>\n",
              "      <td>7.167</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>4.335</td>\n",
              "      <td>10.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>4.670</td>\n",
              "      <td>10.000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "tratamento  com_controle  com_droga\n",
              "dose tempo                         \n",
              "D1   24            3.226      9.908\n",
              "     48            3.423     10.000\n",
              "     72            2.584      9.355\n",
              "D2   24            2.601      7.167\n",
              "     48            4.335     10.000\n",
              "     72            4.670     10.000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "4CtsllOWKi-4",
        "outputId": "0fb523b2-4f41-4491-ff00-dcf86d6273db"
      },
      "source": [
        "print('A função np.sum retorna a Mediana dos valores'.upper())\n",
        "pd.crosstab([dados['dose'], dados['tempo']],  dados['tratamento'], values=dados['g0'], aggfunc=np.median)"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "A FUNÇÃO NP.SUM RETORNA A MEDIANA DOS VALORES\n"
          ],
          "name": "stdout"
        },
        {
          "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>tratamento</th>\n",
              "      <th>com_controle</th>\n",
              "      <th>com_droga</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dose</th>\n",
              "      <th>tempo</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D1</th>\n",
              "      <th>24</th>\n",
              "      <td>-0.2912</td>\n",
              "      <td>0.02700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>-0.2145</td>\n",
              "      <td>0.01620</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>-0.3655</td>\n",
              "      <td>0.02615</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">D2</th>\n",
              "      <th>24</th>\n",
              "      <td>0.0096</td>\n",
              "      <td>-0.02610</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>-0.0506</td>\n",
              "      <td>-0.02960</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>0.0528</td>\n",
              "      <td>0.00015</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "tratamento  com_controle  com_droga\n",
              "dose tempo                         \n",
              "D1   24          -0.2912    0.02700\n",
              "     48          -0.2145    0.01620\n",
              "     72          -0.3655    0.02615\n",
              "D2   24           0.0096   -0.02610\n",
              "     48          -0.0506   -0.02960\n",
              "     72           0.0528    0.00015"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eN0ZJF6W5HqH"
      },
      "source": [
        "# Desafio 04: Explorar o melt."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "Ogz5FhBlNysS",
        "outputId": "50fe9819-e2a1-4e1e-a203-02e612964703"
      },
      "source": [
        "pd.melt(dados, id_vars=['g0'], value_vars=['tempo','dose'])"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>g0</th>\n",
              "      <th>variable</th>\n",
              "      <th>value</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.0620</td>\n",
              "      <td>tempo</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0743</td>\n",
              "      <td>tempo</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.6280</td>\n",
              "      <td>tempo</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-0.5138</td>\n",
              "      <td>tempo</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-0.3254</td>\n",
              "      <td>tempo</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47623</th>\n",
              "      <td>0.1394</td>\n",
              "      <td>dose</td>\n",
              "      <td>D2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47624</th>\n",
              "      <td>-1.3260</td>\n",
              "      <td>dose</td>\n",
              "      <td>D2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47625</th>\n",
              "      <td>0.3942</td>\n",
              "      <td>dose</td>\n",
              "      <td>D2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47626</th>\n",
              "      <td>0.6660</td>\n",
              "      <td>dose</td>\n",
              "      <td>D1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47627</th>\n",
              "      <td>-0.8598</td>\n",
              "      <td>dose</td>\n",
              "      <td>D1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>47628 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           g0 variable value\n",
              "0      1.0620    tempo    24\n",
              "1      0.0743    tempo    72\n",
              "2      0.6280    tempo    48\n",
              "3     -0.5138    tempo    48\n",
              "4     -0.3254    tempo    72\n",
              "...       ...      ...   ...\n",
              "47623  0.1394     dose    D2\n",
              "47624 -1.3260     dose    D2\n",
              "47625  0.3942     dose    D2\n",
              "47626  0.6660     dose    D1\n",
              "47627 -0.8598     dose    D1\n",
              "\n",
              "[47628 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NeXZFqlY5Hhb"
      },
      "source": [
        "# Desafio 05: Calcular e analisar a correlação entre G e C. Refletir sobre os efeitos biológicos."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 898
        },
        "id": "hgm55OZr-B80",
        "outputId": "1956ac35-0d1e-4344-80a0-ab996b6ac994"
      },
      "source": [
        "\n",
        "ax = sns.lmplot(x='g0', y = 'c2', data=dados, hue='tempo', col='tempo', row='tratamento', palette='flare', height=7, aspect=1)\n",
        "plt.show()\n"
      ],
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1512x1008 with 6 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Jf9yGr54MuQ_"
      },
      "source": [
        "O gráfico de de dispersão acima mostra a tendência na da viabilidade celular da célula (c2) em relação a expressão gênica do gene (g0) para diferentes drogas quando exposto a diferentes tempos. Sendo assim podemos observar que nos maiores tempos de exposição existe uma queda no número de células viáveis, isso pode estar ocorrendo também pelo nível de dosagem que as células foram submetidas.\n",
        "Podemos ainda observar que a grande parte das células continuam viáveis que a expressao do gene (g0) tem uma influência significativa na viabilidade da célula em questão, podendo então inferir que a correlação entre a super expressão ou repressão deste gene e a viabilidade celular existe. Principalmente quando observado os contoles."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1W67nDwY5HXo"
      },
      "source": [
        "#Desafio 06: Estudar o código que plota a matriz de correlação (heatmap)\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QqfwPLEvSIuJ"
      },
      "source": [
        "corr = dados.loc[:,'g0':'g60'].corr()"
      ],
      "execution_count": 94,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 574
        },
        "id": "zUe8w-XNSENB",
        "outputId": "40755011-8aff-46ee-cf2f-4cb3622e0cb6"
      },
      "source": [
        "# Generate a mask for the upper triangle\n",
        "mask = np.triu(np.ones_like(corr, dtype=bool))\n",
        "\n",
        "# Set up the matplotlib figure\n",
        "f, ax = plt.subplots(figsize=(11, 9))\n",
        "\n",
        "# Generate a custom diverging colormap\n",
        "cmap = sns.diverging_palette(240, 10, as_cmap=True)\n",
        "\n",
        "# Draw the heatmap with the mask and correct aspect ratio\n",
        "sns.heatmap(corr, mask=mask, cmap=cmap, center=0,\n",
        "            square=True, linewidths=.1, cbar_kws={\"shrink\": 1})\n",
        "\n",
        "ax.set_title('Correlação da expressão gênica do gene (g0-g60)'.upper(), fontsize=18)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x648 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "65b6jU8kUZm4"
      },
      "source": [
        ">Eu manipulei a funcão cbar_kws, para que a escala ocupe toda a lateral do gráfico. \n",
        "\n",
        ">Adicionei um título utilizando o set_title\n",
        "\n",
        ">Alterei o diverging_palette para deixar mais evidentes os genes que se correlacionam\n",
        "\n",
        ">Alterei a grossura das linhas em linewidths"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6KmoLi1r5HJx"
      },
      "source": [
        "#Desafio 07: Resumo do que você aprendeu com os dados"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t_8tge9xVSK4"
      },
      "source": [
        ">Verifiquei que podemos criar novas tabelas para mostrar a frequencia tanto utilizando o crosstab quanto o grouopy que possuem formas um pouco diferente entre si para realizar praticamente a mesma função.\n",
        "\n",
        ">Podemos utilizar o numpy para agregar os valores de interesse e posteriormente gerar informações mais acertivas sobre o objeto de estudo.\n",
        "\n",
        ">O melt(), também é uma funcão interessante para filtragem de dados com alto grau de especificidade.\n",
        "\n",
        ">Os gráficos de dispersão e de heatmap, são ótimas ferramentas para poder a correlação entre os dados estudados.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1dq8UkmFWSpV"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}