analise_dados.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "analise_dados.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOr2ydSufjHmjVmG665RK9i",
      "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/IgorNascAlves/scrapping_forum/blob/main/analise_dados.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mjV_j071oNFc"
      },
      "source": [
        "#Imports e carregando dados"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cL2um2H_sr0U"
      },
      "source": [
        "import math\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IbvUv2vls8PU"
      },
      "source": [
        "url = \"https://raw.githubusercontent.com/IgorNascAlves/scrapping_forum/main/subcategoria_topicos_sem_resposta.csv\""
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "5sH9zA12svLB",
        "outputId": "367d6ecb-64ed-461b-b69d-fc52e2bc567f"
      },
      "source": [
        "df = pd.read_csv(url)\n",
        "df.head()"
      ],
      "execution_count": 3,
      "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>URL</th>\n",
              "      <th>Nome</th>\n",
              "      <th>Quantidade</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>https://cursos.alura.com.br/forum/subcategoria...</td>\n",
              "      <td>Multiplataforma</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>https://cursos.alura.com.br/forum/subcategoria...</td>\n",
              "      <td>Flutter</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>https://cursos.alura.com.br/forum/subcategoria...</td>\n",
              "      <td>Android</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>https://cursos.alura.com.br/forum/subcategoria...</td>\n",
              "      <td>iOS</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>https://cursos.alura.com.br/forum/subcategoria...</td>\n",
              "      <td>Jogos</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                 URL  ... Quantidade\n",
              "0  https://cursos.alura.com.br/forum/subcategoria...  ...         22\n",
              "1  https://cursos.alura.com.br/forum/subcategoria...  ...          2\n",
              "2  https://cursos.alura.com.br/forum/subcategoria...  ...          7\n",
              "3  https://cursos.alura.com.br/forum/subcategoria...  ...          9\n",
              "4  https://cursos.alura.com.br/forum/subcategoria...  ...          3\n",
              "\n",
              "[5 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JggiBgkY5LkR",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e6223b63-b87f-4432-e7d6-8ae58f63e31e"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 112 entries, 0 to 111\n",
            "Data columns (total 3 columns):\n",
            " #   Column      Non-Null Count  Dtype \n",
            "---  ------      --------------  ----- \n",
            " 0   URL         112 non-null    object\n",
            " 1   Nome        112 non-null    object\n",
            " 2   Quantidade  112 non-null    int64 \n",
            "dtypes: int64(1), object(2)\n",
            "memory usage: 2.8+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DdMowBHRoFlW"
      },
      "source": [
        "#Explorando"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8LmjIbzcuwiJ"
      },
      "source": [
        "Quantidade de subcategorias"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zCfSaN-nvOhD",
        "outputId": "8a9c15d9-2150-473e-9727-f6b4fec32c52"
      },
      "source": [
        "df.shape"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(112, 3)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2wFS58SJuoa7",
        "outputId": "5885a6d3-e6e5-44c8-ae1c-85f4a65547da"
      },
      "source": [
        "qtd_subcategorias = len(df.Nome.unique())\n",
        "qtd_subcategorias"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "112"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zo_K1lvcwPBU",
        "outputId": "1a6b4bd0-c6b9-474a-8155-6254164c5adc"
      },
      "source": [
        "df.Quantidade.value_counts()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "16     8\n",
              "2      6\n",
              "0      5\n",
              "12     5\n",
              "9      5\n",
              "1      4\n",
              "33     4\n",
              "36     4\n",
              "11     4\n",
              "22     3\n",
              "15     3\n",
              "19     3\n",
              "8      3\n",
              "5      3\n",
              "4      3\n",
              "29     2\n",
              "14     2\n",
              "10     2\n",
              "20     2\n",
              "3      2\n",
              "24     2\n",
              "25     2\n",
              "28     2\n",
              "26     2\n",
              "89     2\n",
              "34     2\n",
              "180    2\n",
              "30     1\n",
              "43     1\n",
              "100    1\n",
              "95     1\n",
              "84     1\n",
              "82     1\n",
              "6      1\n",
              "7      1\n",
              "69     1\n",
              "60     1\n",
              "49     1\n",
              "13     1\n",
              "27     1\n",
              "41     1\n",
              "40     1\n",
              "38     1\n",
              "17     1\n",
              "18     1\n",
              "147    1\n",
              "37     1\n",
              "21     1\n",
              "32     1\n",
              "159    1\n",
              "112    1\n",
              "125    1\n",
              "Name: Quantidade, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "JP2qlodmxbsV",
        "outputId": "7b6a9a39-9513-4edd-c61f-ef3a7added05"
      },
      "source": [
        "sns.histplot(x='Quantidade', data=df)"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0f6643e050>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 533
        },
        "id": "j8YQL3uly87Q",
        "outputId": "55ebbb15-4cf0-4443-cc87-a8fca396f846"
      },
      "source": [
        "plt.figure(figsize=(10,7))\n",
        "ax = sns.barplot(x=\"Nome\", y=\"Quantidade\", data=df.sort_values(\"Quantidade\", ascending=False).head(20), palette='crest')\n",
        "_ = plt.xticks(rotation=45, ha='right') "
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 600
        },
        "id": "vVLg1rxV2238",
        "outputId": "5dbc8d0d-6f25-48e8-c737-016438d4e009"
      },
      "source": [
        "plt.figure(figsize=(10,7))\n",
        "ax = sns.barplot(x=\"Nome\", y=\"Quantidade\", data=df.sort_values(\"Quantidade\", ascending=False).tail(20), palette='crest')\n",
        "ax.set_title('Tail 20 - ')\n",
        "_ = plt.xticks(rotation=45, ha='right') "
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MsEK7A4y6Dn6"
      },
      "source": [
        "Quantidade de subcategorias com mais de uma pagina"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Yu2yhp546OmS",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f2c4db6d-ac18-4d5d-c81b-9cc71edb1be5"
      },
      "source": [
        "df.query('Quantidade > 20')['Quantidade'].count()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "47"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xnqlq3AJ7C1B"
      },
      "source": [
        "df[\"Mais_uma_pag\"] = [True if row > 20 else False for row in df['Quantidade']]"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vTb7W6od9gn3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "559e1776-52ab-4c8e-8664-cdfbf968ef4c"
      },
      "source": [
        "df.value_counts(\"Mais_uma_pag\")"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Mais_uma_pag\n",
              "False    65\n",
              "True     47\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WK2tAA3W7c4i",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dc073d97-e9e8-46af-fbb4-620d688e3d9d"
      },
      "source": [
        "df.value_counts(\"Mais_uma_pag\", normalize=True)*100"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Mais_uma_pag\n",
              "False    58.035714\n",
              "True     41.964286\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6D10jh7c72CF",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 570
        },
        "outputId": "ab15eaad-4e5b-400d-da61-eb394c30911e"
      },
      "source": [
        "plt.figure(figsize=(10,7))\n",
        "ax = sns.barplot(x=\"Nome\", y=\"Quantidade\", data=df.query(\"Mais_uma_pag == True\").sort_values(\"Quantidade\", ascending=False).tail(20), palette='crest')\n",
        "_ = plt.xticks(rotation=45, ha='right') "
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 639
        },
        "id": "PoL7TZ-NeT6P",
        "outputId": "a7cf8397-aaf2-4845-8103-3cf7774ea060"
      },
      "source": [
        "df.sort_values(\"Quantidade\", ascending=False).head(20)[[\"Nome\", \"Quantidade\"]]"
      ],
      "execution_count": 16,
      "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>Nome</th>\n",
              "      <th>Quantidade</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>75</th>\n",
              "      <td>Machine Learning</td>\n",
              "      <td>180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Java para Web</td>\n",
              "      <td>180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73</th>\n",
              "      <td>Data Science</td>\n",
              "      <td>159</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Java API</td>\n",
              "      <td>147</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>Cloud Computing</td>\n",
              "      <td>125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>Desenvolvimento de jogos</td>\n",
              "      <td>112</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>Estatística</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>.NET para web</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Lógica de programação</td>\n",
              "      <td>89</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Node.JS</td>\n",
              "      <td>89</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>C#</td>\n",
              "      <td>84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>Métodos Ágeis</td>\n",
              "      <td>82</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Python web</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>Computação</td>\n",
              "      <td>60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>PHP para web</td>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Certificação C#</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Python</td>\n",
              "      <td>41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>Entrega Contínua</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Java e persistência</td>\n",
              "      <td>38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>Google Cloud Platform</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        Nome  Quantidade\n",
              "75          Machine Learning         180\n",
              "9              Java para Web         180\n",
              "73              Data Science         159\n",
              "12                  Java API         147\n",
              "52           Cloud Computing         125\n",
              "32  Desenvolvimento de jogos         112\n",
              "80               Estatística         100\n",
              "18             .NET para web          95\n",
              "5      Lógica de programação          89\n",
              "7                    Node.JS          89\n",
              "17                        C#          84\n",
              "88             Métodos Ágeis          82\n",
              "8                 Python web          69\n",
              "36                Computação          60\n",
              "26              PHP para web          49\n",
              "23           Certificação C#          43\n",
              "6                     Python          41\n",
              "53          Entrega Contínua          40\n",
              "11       Java e persistência          38\n",
              "47     Google Cloud Platform          37"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t08yMNHinHaL"
      },
      "source": [
        "Quantidade de pagina"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HdR-2J_6nI42"
      },
      "source": [
        "df[\"Qtd_pag\"] = [math.ceil(row/20) for row in df['Quantidade']]"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 639
        },
        "id": "f_s4uwrYnZBk",
        "outputId": "76bd7c46-b891-448f-ebd9-71dd8dad5169"
      },
      "source": [
        "df.sort_values(\"Quantidade\", ascending=False).head(20)[[\"Nome\", \"Quantidade\", \"Qtd_pag\"]]"
      ],
      "execution_count": 18,
      "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>Nome</th>\n",
              "      <th>Quantidade</th>\n",
              "      <th>Qtd_pag</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>75</th>\n",
              "      <td>Machine Learning</td>\n",
              "      <td>180</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Java para Web</td>\n",
              "      <td>180</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73</th>\n",
              "      <td>Data Science</td>\n",
              "      <td>159</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Java API</td>\n",
              "      <td>147</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>Cloud Computing</td>\n",
              "      <td>125</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>Desenvolvimento de jogos</td>\n",
              "      <td>112</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>Estatística</td>\n",
              "      <td>100</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>.NET para web</td>\n",
              "      <td>95</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Lógica de programação</td>\n",
              "      <td>89</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Node.JS</td>\n",
              "      <td>89</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>C#</td>\n",
              "      <td>84</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>Métodos Ágeis</td>\n",
              "      <td>82</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Python web</td>\n",
              "      <td>69</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>Computação</td>\n",
              "      <td>60</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>PHP para web</td>\n",
              "      <td>49</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Certificação C#</td>\n",
              "      <td>43</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Python</td>\n",
              "      <td>41</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>Entrega Contínua</td>\n",
              "      <td>40</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Java e persistência</td>\n",
              "      <td>38</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>Google Cloud Platform</td>\n",
              "      <td>37</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        Nome  Quantidade  Qtd_pag\n",
              "75          Machine Learning         180        9\n",
              "9              Java para Web         180        9\n",
              "73              Data Science         159        8\n",
              "12                  Java API         147        8\n",
              "52           Cloud Computing         125        7\n",
              "32  Desenvolvimento de jogos         112        6\n",
              "80               Estatística         100        5\n",
              "18             .NET para web          95        5\n",
              "5      Lógica de programação          89        5\n",
              "7                    Node.JS          89        5\n",
              "17                        C#          84        5\n",
              "88             Métodos Ágeis          82        5\n",
              "8                 Python web          69        4\n",
              "36                Computação          60        3\n",
              "26              PHP para web          49        3\n",
              "23           Certificação C#          43        3\n",
              "6                     Python          41        3\n",
              "53          Entrega Contínua          40        2\n",
              "11       Java e persistência          38        2\n",
              "47     Google Cloud Platform          37        2"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hEem54whoAjL"
      },
      "source": [
        "#Sub Categorias com mais de duas paginas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 549
        },
        "id": "P3qLfJdNnq5h",
        "outputId": "942c22f0-363b-43b5-a321-5564fa267332"
      },
      "source": [
        "plt.figure(figsize=(10,7))\n",
        "ax = sns.barplot(x=\"Nome\", y=\"Qtd_pag\", data=df.sort_values(\"Quantidade\", ascending=False).head(17), palette='crest')\n",
        "ax.set_title(\"Subcategorias com mais de duas paginas de topicos abertos no fórum\")\n",
        "_ = plt.xticks(rotation=45, ha='right') "
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}