ootimista_quantidade_comentários.ipynb

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      "cell_type": "markdown",
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        "<a href=\"https://colab.research.google.com/github/JonatasFontele/aprendizagem-de-maquina-e-mineracao-de-dados/blob/main/ootimista_quantidade_coment%C3%A1rios.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "markdown",
      "source": [
        "#Análise estatística de quantidade de comentários por usuário e por membro do CDS na postagem de curtidas da Startup MeMemoria do perfil de instagram @ootimista\n",
        "\n"
      ],
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    {
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      "execution_count": null,
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        "id": "tp84WY-UpMQm"
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      "source": [
        "import pandas as pd\n",
        "pd.set_option(\"display.max_rows\", None)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Amostra dos dados"
      ],
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      }
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    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(\"ootimista_mememoria_post.csv\", sep=';')\n",
        "\n",
        "df.head()"
      ],
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            "text/plain": [
              "             type                 id     username  \\\n",
              "0         comment  17955474074232200  jonyfontele   \n",
              "1         comment  17929506602561800  jonyfontele   \n",
              "2  comment-answer  17907867977665400  m4no_mateus   \n",
              "3         comment  17995152289594100  jonyfontele   \n",
              "4  comment-answer  17976392821853600  m4no_mateus   \n",
              "\n",
              "                          text              date  \n",
              "0              Inovador!!! 👏👏👏  26/11/2022 00:30  \n",
              "1       De muito interesse 👏👏👏  26/11/2022 03:15  \n",
              "2         @jonyfontele verdade  26/11/2022 04:24  \n",
              "3                   Wonderful!  26/11/2022 04:15  \n",
              "4  @jonyfontele também acho!!!  26/11/2022 04:25  "
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              "      <td>17955474074232200</td>\n",
              "      <td>jonyfontele</td>\n",
              "      <td>Inovador!!! 👏👏👏</td>\n",
              "      <td>26/11/2022 00:30</td>\n",
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              "      <td>De muito interesse 👏👏👏</td>\n",
              "      <td>26/11/2022 03:15</td>\n",
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              "      <td>17907867977665400</td>\n",
              "      <td>m4no_mateus</td>\n",
              "      <td>@jonyfontele verdade</td>\n",
              "      <td>26/11/2022 04:24</td>\n",
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              "      <td>jonyfontele</td>\n",
              "      <td>Wonderful!</td>\n",
              "      <td>26/11/2022 04:15</td>\n",
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              "      <td>m4no_mateus</td>\n",
              "      <td>@jonyfontele também acho!!!</td>\n",
              "      <td>26/11/2022 04:25</td>\n",
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          },
          "metadata": {},
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##10000 comentários que foram possíveis de baixar do instagram"
      ],
      "metadata": {
        "id": "L5YXfYMFwybc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.shape # (linhas, colunas)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3vWfu9gqwb9_",
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      "outputs": [
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10000, 5)"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Quantidade de comentários por membros do CDS"
      ],
      "metadata": {
        "id": "Wc9HQTxQaIrY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "jonatas = df['username'] == 'jonyfontele'\n",
        "janaina = df['username'] == 'janaina_lima_santos'\n",
        "mateus = df['username'] == 'm4no_mateus'\n",
        "romulo = df['username'] == 'romulo.0.9'\n",
        "cds = [df[jonatas], df[janaina], df[mateus], df[romulo]]\n",
        "cds_comments = pd.concat(cds)\n",
        "cds_comments['username'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hCd8pd8dWaLz",
        "outputId": "07135ab1-40ba-4c23-db9c-ad6cb448a8f1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "jonyfontele            491\n",
              "janaina_lima_santos    320\n",
              "m4no_mateus            133\n",
              "romulo.0.9              57\n",
              "Name: username, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Quantidade de comentários por usuário"
      ],
      "metadata": {
        "id": "F6wNL0KPwOwT"
      }
    },
    {
      "cell_type": "code",
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        "df['username'].value_counts()"
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              "jonyfontele                       491\n",
              "_sarahcunhamedeiros               424\n",
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              "oliveira__isana                   414\n",
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              "Name: username, dtype: int64"
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          "metadata": {},
          "execution_count": 5
        }
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    }
  ]
}