Data_Science_Introdutório_Alura.ipynb

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      "name": "Data Science Introdutório - Alura.ipynb",
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      "source": [
        "import pandas as pd\n",
        "import numpy as np"
      ]
    },
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      "source": [
        "df_notas = pd.read_csv('https://raw.githubusercontent.com/OseiasBeu/Data-Science/master/DataSets/ml-latest-small/ratings.csv', sep=',')\n",
        "df_notas.head(5)"
      ],
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      "execution_count": 2,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "   userId  movieId  rating  timestamp\n",
              "0       1        1     4.0  964982703\n",
              "1       1        3     4.0  964981247\n",
              "2       1        6     4.0  964982224\n",
              "3       1       47     5.0  964983815\n",
              "4       1       50     5.0  964982931"
            ],
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      "source": [
        "df_notas.shape"
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          "data": {
            "text/plain": [
              "(100836, 4)"
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          "metadata": {},
          "execution_count": 3
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      "source": [
        "notas = df_notas['rating']"
      ],
      "metadata": {
        "id": "Vsq9w-Tzk3PU"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "notas.value_counts()"
      ],
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      "execution_count": 5,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "4.0    26818\n",
              "3.0    20047\n",
              "5.0    13211\n",
              "3.5    13136\n",
              "4.5     8551\n",
              "2.0     7551\n",
              "2.5     5550\n",
              "1.0     2811\n",
              "1.5     1791\n",
              "0.5     1370\n",
              "Name: rating, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "notas.mean()"
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      "execution_count": 6,
      "outputs": [
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          "data": {
            "text/plain": [
              "3.501556983616962"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
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    {
      "cell_type": "code",
      "source": [
        "notas.value_counts().plot()"
      ],
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      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f6d3c803d10>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "notas.hist()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "REc4gmcpnEot",
        "outputId": "92810422-46cb-469c-eaeb-02b8b7035c02"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f6d3c7733d0>"
            ]
          },
          "metadata": {},
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "notas.plot(kind='hist')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "baQTVT8BnggR",
        "outputId": "b0dc93cb-15f3-466b-dd96-3a656fe20920"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f6d3d91bd50>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "notas.median()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nEOhQkzLnrXR",
        "outputId": "4ba150d5-ae2c-4393-f3c2-594532408327"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.5"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns"
      ],
      "metadata": {
        "id": "FvP5-YspnzfK"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.boxplot(notas)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 354
        },
        "id": "9jRRd9dqoKK7",
        "outputId": "c0017db8-c789-4a2d-efbe-6ea530f2c8a6"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f6d2d784a10>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_movies = pd.read_csv('https://raw.githubusercontent.com/OseiasBeu/Data-Science/master/DataSets/ml-latest-small/movies.csv', sep=',')\n",
        "df_movies.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "LUCveNzyoSR6",
        "outputId": "443a78ce-5dae-4b3a-c629-8e1a855db285"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   movieId                               title  \\\n",
              "0        1                    Toy Story (1995)   \n",
              "1        2                      Jumanji (1995)   \n",
              "2        3             Grumpier Old Men (1995)   \n",
              "3        4            Waiting to Exhale (1995)   \n",
              "4        5  Father of the Bride Part II (1995)   \n",
              "\n",
              "                                        genres  \n",
              "0  Adventure|Animation|Children|Comedy|Fantasy  \n",
              "1                   Adventure|Children|Fantasy  \n",
              "2                               Comedy|Romance  \n",
              "3                         Comedy|Drama|Romance  \n",
              "4                                       Comedy  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-29d0df45-4c37-406d-bbb3-89f892dcf922\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>movieId</th>\n",
              "      <th>title</th>\n",
              "      <th>genres</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Toy Story (1995)</td>\n",
              "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>Jumanji (1995)</td>\n",
              "      <td>Adventure|Children|Fantasy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Grumpier Old Men (1995)</td>\n",
              "      <td>Comedy|Romance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>Waiting to Exhale (1995)</td>\n",
              "      <td>Comedy|Drama|Romance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>Father of the Bride Part II (1995)</td>\n",
              "      <td>Comedy</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-29d0df45-4c37-406d-bbb3-89f892dcf922')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "\n",
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              "\n",
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              "          const element = document.querySelector('#df-29d0df45-4c37-406d-bbb3-89f892dcf922');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Analisando notas por filme!"
      ],
      "metadata": {
        "id": "cFfdr9obq-k-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_notas.query('movieId==1')['rating'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uTyBD5uLqIiu",
        "outputId": "dee5f644-1183-466f-e2de-ef84cdaec209"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.9209302325581397"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A média do filme toy story é maior que a média geral"
      ],
      "metadata": {
        "id": "yx7WOvpnrBHV"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Agrupamento de filmes para ver a média por filme:"
      ],
      "metadata": {
        "id": "cABHrmJArXFe"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "medias_por_filme = df_notas.groupby('movieId').mean()['rating']\n",
        "medias_por_filme.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sdLNsGY3qtYv",
        "outputId": "1e8c9ef9-7944-42ab-c30b-501e8021571d"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "movieId\n",
              "1    3.920930\n",
              "2    3.431818\n",
              "3    3.259615\n",
              "4    2.357143\n",
              "5    3.071429\n",
              "Name: rating, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Gerando gráfico de médias por filme:"
      ],
      "metadata": {
        "id": "L6tDLfLqsOK-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "medias_por_filme.plot(kind='hist')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "dP5aHnIlrdT6",
        "outputId": "4895af31-defd-4fcc-ab72-1054dddd670b"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f6d2d675310>"
            ]
          },
          "metadata": {},
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.displot(medias_por_filme)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 387
        },
        "id": "u_zjyr6BsNFh",
        "outputId": "6fc5e1a4-9b6d-43d2-9194-bb7f197ef7c0"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f6d2d5db910>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWAAAAFgCAYAAACFYaNMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAUJUlEQVR4nO3df5BdZ33f8fcHG2N+22CNRpHMyB08JIQmDbMYGmcSwC01hkZuAq47CQgqR52pIVDHCab9g2n7R52pJ+BkUjqK7SBPCYaCM3ISxsT1DzJkwCAbgwHFg0rsWIpAEggDYVJi+PaPe5QsktZa7d57v3t336+ZO3vOc86593tnrY/PPuc5z0lVIUmavid1FyBJa5UBLElNDGBJamIAS1ITA1iSmpzeXcAkXHzxxXX77bd3lyFJR+VEjavyDPjw4cPdJUjSSa3KAJakWWAAS1ITA1iSmhjAktTEAJakJgawJDUxgCWpiQEsSU0MYElqYgBLUhMDWJKaGMCS1MQAlqQmq3I6SknTcfnWKzhw+Mhx7RvOOZtbdt7QUNFsMYAlLdmBw0fYsOXq49t3XddQzeyxC0KSmhjAktTEAJakJgawJDUxgCWpiQEsSU0chiatAo7HnU0GsLQKOB53NtkFIUlNDGBJamIAS1ITA1iSmhjAktTEAJakJgawJDUxgCWpiQEsSU0MYElqYgBLUhMDWJKaGMCS1MQAlqQmBrAkNTGAJamJASxJTQxgSWpiAEtSEwNYkppMLICT3JTkYJIvzGt7TpI7knx5+Hn20J4kv51kb5LPJ3nxvGO2Dvt/OcnWSdUrSdM2yTPg9wEXH9N2DXBnVZ0P3DmsA7waOH94bQfeC6PABt4FvBS4AHjX0dCWpFk3sQCuqj8DvnFM8xZg57C8E7h0XvvNNfIp4KwkG4B/AdxRVd+oqiPAHRwf6pI0k6bdB7y+qg4My18F1g/LG4FH5+23b2hbqP04SbYn2Z1k96FDh8ZbtSRNwOldH1xVlaTG+H47gB0Ac3NzY3tf6VRcvvUKDhw+clz7hnPO5padNzRUpJVs2gH8tSQbqurA0MVwcGjfD5w7b79NQ9t+4OXHtN8zhTqlJTlw+Agbtlx9fPuu6xqq0Uo37S6I24CjIxm2Arvmtb9xGA3xMuCxoaviY8Crkpw9XHx71dAmSTNvYmfAST7A6Oz1nCT7GI1muBb4UJJtwCPAZcPuHwUuAfYC3wXeDFBV30jyX4HPDPv9l6o69sKeJM2kiQVwVf2bBTZddIJ9C7hygfe5CbhpjKVJ0orgnXCS1MQAlqQmBrAkNTGAJamJASxJTQxgSWpiAEtSEwNYkpoYwJLUxACWpCYGsCQ1MYAlqYkBLElNDGBJamIAS1ITA1iSmhjAktTEAJakJgawJDUxgCWpiQEsSU0MYElqYgBLUhMDWJKaGMCS1MQAlqQmBrAkNTGAJamJASxJTQxgSWpiAEtSEwNYkpoYwJLUxACWpCYGsCQ1MYAlqYkBLElNDGBJamIAS1ITA1iSmhjAktTEAJakJgawJDVpCeAk/yHJF5N8IckHkpyZ5Lwk9ybZm+SDSc4Y9n3KsL532L65o2ZJGrepB3CSjcCvAnNV9SLgNOBy4DeBd1fV84EjwLbhkG3AkaH93cN+kjTzurogTgeemuR04GnAAeCVwIeH7TuBS4flLcM6w/aLkmSKtUrSREw9gKtqP3Ad8FeMgvcx4D7gm1X1+LDbPmDjsLwReHQ49vFh/+ce+75JtifZnWT3oUOHJvslJGkMOrogzmZ0Vnse8CPA04GLl/u+VbWjquaqam7dunXLfTtJmriOLoh/BvxlVR2qqr8DbgUuBM4auiQANgH7h+X9wLkAw/ZnA1+fbsmSNH4dAfxXwMuSPG3oy70I+BJwN/C6YZ+twK5h+bZhnWH7XVVVU6xXkiaiow/4XkYX0+4HHhxq2AG8A7gqyV5Gfbw3DofcCDx3aL8KuGbaNUvSJJx+8l3Gr6reBbzrmOavABecYN+/BV4/jbokaZq8E06SmhjAktTEAJakJgawJDUxgCWpiQEsSU0MYElqYgBLUhMDWJKaGMCS1MQAlqQmBrAkNTGAJamJASxJTQxgSWpiAEtSEwNYkpoYwJLUxACWpCYGsCQ1MYAlqYkBLElNDGBJamIAS1ITA1iSmhjAktTEAJakJgawJDUxgCWpiQEsSU0MYElqYgBLUhMDWJKaGMCS1MQAlqQmBrAkNVlUACe5cDFtkqTFW+wZ8O8ssk2StEinP9HGJP8U+GlgXZKr5m16FnDaJAuTpNXuCQMYOAN4xrDfM+e1fwt43aSKkqS14AkDuKo+Dnw8yfuq6pEp1SRJa8LJzoCPekqSHcDm+cdU1SsnUZQkrQWLDeD/DfxP4Abg+5MrR5LWjsUG8ONV9d5xfWiSsxiF+YuAAv4t8BDwQUZn2Q8Dl1XVkSQBrgcuAb4LvKmq7h9XLZLUZbHD0P4oyb9PsiHJc46+lvG51wO3V9WPAj8J7AGuAe6sqvOBO4d1gFcD5w+v7cDY/kcgSZ0Wewa8dfj56/PaCvhHp/qBSZ4N/CzwJoCq+h7wvSRbgJcPu+0E7gHeAWwBbq6qAj6V5KwkG6rqwKl+tiStJIsK4Ko6b4yfeR5wCPj9JD8J3Ae8DVg/L1S/CqwfljcCj847ft/Q9kMBnGQ7ozNknve8542xXEmajEUFcJI3nqi9qm5e4me+GHhrVd2b5Hr+obvh6PtWkjqVN62qHcAOgLm5uVM6VpI6LLYL4iXzls8ELgLuB5YSwPuAfVV177D+YUYB/LWjXQtJNgAHh+37gXPnHb9paJOkmbbYLoi3zl8fRjHcspQPrKqvJnk0yQuq6iFGYf6l4bUVuHb4uWs45DbgLUluAV4KPGb/r6TVYLFnwMf6G0Z9uUv1VuD9Sc4AvgK8mdGIjA8l2QY8Alw27PtRRkPQ9jIahvbmZXyuJK0Yi+0D/iNGox5gNAnPjwEfWuqHVtUDwNwJNl10gn0LuHKpnyVJK9Viz4Cvm7f8OPBIVe2bQD2StGYs6kaMYVKev2A0I9rZwPcmWZQkrQWLfSLGZcCngdcz6pu9N4nTUUrSMiy2C+I/AS+pqoMASdYB/4fREDJJ0hIsdi6IJx0N38HXT+FYSdIJLPYM+PYkHwM+MKz/a0bDwyRJS3SyZ8I9n9EcDb+e5BeAnxk2fRJ4/6SLk6TV7GRnwO8B3glQVbcCtwIk+cfDtn850eokaRU7WQCvr6oHj22sqgeTbJ5IRdIyXb71Cg4cPnJc+4ZzzuaWnTc0VCSd2MkC+Kwn2PbUcRYijcuBw0fYsOXq49t3XXeCvaU+JxvJsDvJrxzbmOQKRvP4SpKW6GRnwG8H/jDJL/EPgTsHnAH8q0kWJkmr3RMGcFV9DfjpJK9g9ABNgD+pqrsmXpkkrXKLnQ/4buDuCdciSWuKd7NJUhMDWJKaGMCS1MQAlqQmBrAkNTGAJamJASxJTQxgSWpiAEtSEwNYkpoYwJLUxACWpCYGsCQ1MYAlqYkBLElNDGBJamIAS1ITA1iSmhjAktRkUc+Ek5bi8q1XcODwkePaN5xzNrfsvKGhImllMYA1MQcOH2HDlquPb991XUM10spjF4QkNTGAJamJASxJTQxgSWpiAEtSE0dBSI26huo5RHBlMIClRl1D9RwiuDLYBSFJTdoCOMlpST6b5I+H9fOS3Jtkb5IPJjljaH/KsL532L65q2ZJGqfOM+C3AXvmrf8m8O6qej5wBNg2tG8Djgzt7x72k6SZ1xLASTYBrwFuGNYDvBL48LDLTuDSYXnLsM6w/aJhf0maaV1nwO8BfgP4wbD+XOCbVfX4sL4P2DgsbwQeBRi2Pzbs/0OSbE+yO8nuQ4cOTbJ2SRqLqQdwktcCB6vqvnG+b1XtqKq5qppbt27dON9akiaiYxjahcDPJ7kEOBN4FnA9cFaS04ez3E3A/mH//cC5wL4kpwPPBr4+/bIlabymfgZcVe+sqk1VtRm4HLirqn4JuBt43bDbVmDXsHzbsM6w/a6qqimWLEkTsZLGAb8DuCrJXkZ9vDcO7TcCzx3arwKuaapPksaq9U64qroHuGdY/gpwwQn2+Vvg9VMtTJKmwFuRJc2c1TKXhQEsaeaslrksVlIfsCStKQawJDUxgCWpiQEsSU28CCetYg/t2cPPveYXj2//8v9lQ0M9+mEGsLSK/V096YSjBb7w336loRodyy4ISWpiAEtSEwNYkpoYwJLUxACWpCYGsCQ1cRiapL+30LjhWZtlbFYYwJL+3kLjhmdtlrFZYReEJDUxgCWpiQEsSU0MYElq4kU4aQELPXcM+kYFLFSTs5vNJgNYWsBCzx2DyY8KeKJpJF9+9XuPa3d2s/Ga1kM/DWBpBXIayV7TeuinfcCS1MQAlqQmBrAkNTGAJamJASxJTQxgSWpiAEtSEwNYkpp4I4akk3qiO/O8BXrpDGBJJ+WdeZNhF4QkNTGAJamJASxJTewDlqbAi1g6EQNYmgIvYulE7IKQpCYGsCQ1MYAlqYkBLElNvAi3BkzrAYOSTs3UAzjJucDNwHqggB1VdX2S5wAfBDYDDwOXVdWRJAGuBy4Bvgu8qarun3bds2xaDxiUdGo6uiAeB36tql4IvAy4MskLgWuAO6vqfODOYR3g1cD5w2s7cPwzuSVpBk09gKvqwNEz2Kr6NrAH2AhsAXYOu+0ELh2WtwA318ingLOSOHZd0sxrvQiXZDPwU8C9wPqqOjBs+iqjLgoYhfOj8w7bN7Qd+17bk+xOsvvQoUMTq1mSxqUtgJM8A/gI8Paq+tb8bVVVjPqHF62qdlTVXFXNrVu3boyVStJktARwkiczCt/3V9WtQ/PXjnYtDD8PDu37gXPnHb5paJOkmTb1AB5GNdwI7Kmq35q36TZg67C8Fdg1r/2NGXkZ8Ni8rgpJmlkd44AvBN4APJjkgaHtPwLXAh9Ksg14BLhs2PZRRkPQ9jIahvbm6ZYrSZMx9QCuqk8AWWDzRSfYv4ArJ1qUVrSVeCOJ00suzUr8XXbyTjiteCvxRhKnl1yalfi77GQASxo7/0JYHANY0tj5F8LiOBuaJDUxgCWpiQEsSU0MYElq4kW4KXIM5Mq00O/FK/aaNAN4ihwDuTIt9Hvxir0mzS4ISWpiAEtSEwNYkpoYwJLUxACWpCYGsCQ1MYAlqYkBLElNDGBJamIAS1ITb0XWmuFTGrTSGMBaM3xKg1YaA3geZyuTNE0G8DzOViZpmgxgzSz7dDXrDGDNLPt0NeschiZJTQxgSWpiF4Skdgv156/2EUgGsFYMH465di3Un7/aRyAZwFoxfDim1hr7gCWpiQEsSU0MYElqYh+wlu1UL555B5s0YgBr2U714pl3sEkjBrAWzWFi0ngZwFo0h4lJ4+VFOElq4hmwpFVvpT5swQCWtOqt1IctGMA6jhfbpOkwgGfQpP+c8mKbNB0G8AxaqX9OSeO22m/amZkATnIxcD1wGnBDVV3bXNLEeYeZ1rpTvWln1v4NzEQAJzkN+F3gnwP7gM8kua2qvtRZ10rrCljt/7FKJzNrd1nORAADFwB7q+orAEluAbYArQG8UEDec+22mQi2WfuPVRq37pOQVNUUPmZ5krwOuLiqrhjW3wC8tKreMm+f7cD2YfUFwENTL3RpzgEOdxcxJX7X1cnvenKHq+riYxtn5Qz4pKpqB7Cju45TlWR3Vc111zENftfVye+6dLNyK/J+4Nx565uGNkmaWbMSwJ8Bzk9yXpIzgMuB25prkqRlmYkuiKp6PMlbgI8xGoZ2U1V9sbmscZm5bpNl8LuuTn7XJZqJi3CStBrNSheEJK06BrAkNTGAmyS5KcnBJF/ormXSkpyb5O4kX0ryxSRv665pUpKcmeTTST43fNf/3F3TpCU5Lclnk/xxdy2TlOThJA8meSDJ7rG8p33APZL8LPAd4OaqelF3PZOUZAOwoaruT/JM4D7g0u5bySchSYCnV9V3kjwZ+ATwtqr6VHNpE5PkKmAOeFZVvba7nklJ8jAwV1Vju+nEM+AmVfVnwDe665iGqjpQVfcPy98G9gAbe6uajBr5zrD65OG1as9ykmwCXgP0PVZihhnAmqokm4GfAu7trWRyhj/JHwAOAndU1ar9rsB7gN8AftBdyBQU8KdJ7humPlg2A1hTk+QZwEeAt1fVt7rrmZSq+n5V/RNGd2xekGRVdjEleS1wsKru665lSn6mql4MvBq4cuhGXBYDWFMx9Id+BHh/Vd3aXc80VNU3gbuB4yZhWSUuBH5+6Bu9BXhlkv/VW9LkVNX+4edB4A8ZzdK4LAawJm64MHUjsKeqfqu7nklKsi7JWcPyUxnNYf0XvVVNRlW9s6o2VdVmRtMD3FVVv9xc1kQkefpwAZkkTwdeBSx7BJMB3CTJB4BPAi9Isi/Jtu6aJuhC4A2MzpAeGF6XdBc1IRuAu5N8ntEcJndU1aoenrVGrAc+keRzwKeBP6mq25f7pg5Dk6QmngFLUhMDWJKaGMCS1MQAlqQmBrAkNTGApUGStyd52rz1jx4d0ytNgsPQtKYMN4Wkqo6bu2ASs11JT8QzYK16STYneSjJzYzuXroxye758/Um+VXgRxjdRHH30PZwknOG4/ck+b3hmD8d7nIjyUuSfH64ueS/r4X5nTU+BrDWivOB/1FVPw78WlXNAT8B/FySn6iq3wb+GnhFVb1igeN/dzj+m8AvDu2/D/y7YfKd70/8W2hVMYC1Vjwyb1L0y5LcD3wW+HHghYs4/i+r6oFh+T5g89A//Myq+uTQ/gdjrVir3kw8ll4ag78BSHIecDXwkqo6kuR9wJmLOP7/zVv+PvDUsVeoNcczYK01z2IUxo8lWc9obtejvg08c7FvNEw3+e0kLx2aLh9blVoTPAPWmlJVn0vyWUZTRD4K/Pm8zTuA25P89QL9wCeyDfi9JD8APg48NtaCtao5DE1ahiTPOPoMuCTXMHr46Kp96rPGyzNgaXlek+SdjP4tPQK8qbcczRLPgCWpiRfhJKmJASxJTQxgSWpiAEtSEwNYkpr8f37dE1KCuM2ZAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "KkLX7jJhsqEB"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.hist(medias_por_filme)\n",
        "plt.title('Histograma de médias por títulos:')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "id": "5voGKAgBtDrZ",
        "outputId": "4a8460c1-9a62-4034-dbbb-bb2190bf08ad"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Histograma de médias por títulos:')"
            ]
          },
          "metadata": {},
          "execution_count": 19
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_tmdb = pd.read_csv('https://raw.githubusercontent.com/OseiasBeu/Data-Science/master/DataSets/ml-latest-small/tmdb_5000_movies.csv')\n",
        "df_tmdb.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 756
        },
        "id": "R5DNxL9UtID5",
        "outputId": "6a31a853-4c94-4c22-a39d-92fa82f8088a"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      budget                                             genres  \\\n",
              "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
              "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
              "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "\n",
              "                                       homepage      id  \\\n",
              "0                   http://www.avatarmovie.com/   19995   \n",
              "1  http://disney.go.com/disneypictures/pirates/     285   \n",
              "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
              "3            http://www.thedarkknightrises.com/   49026   \n",
              "4          http://movies.disney.com/john-carter   49529   \n",
              "\n",
              "                                            keywords original_language  \\\n",
              "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
              "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
              "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
              "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
              "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
              "\n",
              "                             original_title  \\\n",
              "0                                    Avatar   \n",
              "1  Pirates of the Caribbean: At World's End   \n",
              "2                                   Spectre   \n",
              "3                     The Dark Knight Rises   \n",
              "4                               John Carter   \n",
              "\n",
              "                                            overview  popularity  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
              "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
              "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
              "3  Following the death of District Attorney Harve...  112.312950   \n",
              "4  John Carter is a war-weary, former military ca...   43.926995   \n",
              "\n",
              "                                production_companies  \\\n",
              "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   \n",
              "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   \n",
              "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   \n",
              "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...   \n",
              "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]   \n",
              "\n",
              "                                production_countries release_date     revenue  \\\n",
              "0  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2009-12-10  2787965087   \n",
              "1  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2007-05-19   961000000   \n",
              "2  [{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...   2015-10-26   880674609   \n",
              "3  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-07-16  1084939099   \n",
              "4  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-03-07   284139100   \n",
              "\n",
              "   runtime                                   spoken_languages    status  \\\n",
              "0    162.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
              "1    169.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "2    148.0  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...  Released   \n",
              "3    165.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "4    132.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "\n",
              "                                          tagline  \\\n",
              "0                     Enter the World of Pandora.   \n",
              "1  At the end of the world, the adventure begins.   \n",
              "2                           A Plan No One Escapes   \n",
              "3                                 The Legend Ends   \n",
              "4            Lost in our world, found in another.   \n",
              "\n",
              "                                      title  vote_average  vote_count  \n",
              "0                                    Avatar           7.2       11800  \n",
              "1  Pirates of the Caribbean: At World's End           6.9        4500  \n",
              "2                                   Spectre           6.3        4466  \n",
              "3                     The Dark Knight Rises           7.6        9106  \n",
              "4                               John Carter           6.1        2124  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f98f8559-9f32-4929-9f81-baa9851c613b\">\n",
              "    <div class=\"colab-df-container\">\n",
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              "        vertical-align: middle;\n",
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              "\n",
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              "        vertical-align: top;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>id</th>\n",
              "      <th>keywords</th>\n",
              "      <th>original_language</th>\n",
              "      <th>original_title</th>\n",
              "      <th>overview</th>\n",
              "      <th>popularity</th>\n",
              "      <th>production_companies</th>\n",
              "      <th>production_countries</th>\n",
              "      <th>release_date</th>\n",
              "      <th>revenue</th>\n",
              "      <th>runtime</th>\n",
              "      <th>spoken_languages</th>\n",
              "      <th>status</th>\n",
              "      <th>tagline</th>\n",
              "      <th>title</th>\n",
              "      <th>vote_average</th>\n",
              "      <th>vote_count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>237000000</td>\n",
              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
              "      <td>http://www.avatarmovie.com/</td>\n",
              "      <td>19995</td>\n",
              "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
              "      <td>en</td>\n",
              "      <td>Avatar</td>\n",
              "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
              "      <td>150.437577</td>\n",
              "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
              "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
              "      <td>2009-12-10</td>\n",
              "      <td>2787965087</td>\n",
              "      <td>162.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>Enter the World of Pandora.</td>\n",
              "      <td>Avatar</td>\n",
              "      <td>7.2</td>\n",
              "      <td>11800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>300000000</td>\n",
              "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
              "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
              "      <td>285</td>\n",
              "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
              "      <td>en</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
              "      <td>139.082615</td>\n",
              "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
              "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
              "      <td>2007-05-19</td>\n",
              "      <td>961000000</td>\n",
              "      <td>169.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>At the end of the world, the adventure begins.</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>6.9</td>\n",
              "      <td>4500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>245000000</td>\n",
              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
              "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
              "      <td>206647</td>\n",
              "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
              "      <td>en</td>\n",
              "      <td>Spectre</td>\n",
              "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
              "      <td>107.376788</td>\n",
              "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
              "      <td>[{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...</td>\n",
              "      <td>2015-10-26</td>\n",
              "      <td>880674609</td>\n",
              "      <td>148.0</td>\n",
              "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
              "      <td>Released</td>\n",
              "      <td>A Plan No One Escapes</td>\n",
              "      <td>Spectre</td>\n",
              "      <td>6.3</td>\n",
              "      <td>4466</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>250000000</td>\n",
              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
              "      <td>http://www.thedarkknightrises.com/</td>\n",
              "      <td>49026</td>\n",
              "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
              "      <td>en</td>\n",
              "      <td>The Dark Knight Rises</td>\n",
              "      <td>Following the death of District Attorney Harve...</td>\n",
              "      <td>112.312950</td>\n",
              "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
              "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
              "      <td>2012-07-16</td>\n",
              "      <td>1084939099</td>\n",
              "      <td>165.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The Legend Ends</td>\n",
              "      <td>The Dark Knight Rises</td>\n",
              "      <td>7.6</td>\n",
              "      <td>9106</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>260000000</td>\n",
              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
              "      <td>http://movies.disney.com/john-carter</td>\n",
              "      <td>49529</td>\n",
              "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
              "      <td>en</td>\n",
              "      <td>John Carter</td>\n",
              "      <td>John Carter is a war-weary, former military ca...</td>\n",
              "      <td>43.926995</td>\n",
              "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
              "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
              "      <td>2012-03-07</td>\n",
              "      <td>284139100</td>\n",
              "      <td>132.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Lost in our world, found in another.</td>\n",
              "      <td>John Carter</td>\n",
              "      <td>6.1</td>\n",
              "      <td>2124</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f98f8559-9f32-4929-9f81-baa9851c613b')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Variável categórica nominal:"
      ],
      "metadata": {
        "id": "C8dfXwHUD9dj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_tmdb.original_language.unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YajF6M56Dgnh",
        "outputId": "80d60dc6-92d3-4e8e-e723-ea509398fdb4"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['en', 'ja', 'fr', 'zh', 'es', 'de', 'hi', 'ru', 'ko', 'te', 'cn',\n",
              "       'it', 'nl', 'ta', 'sv', 'th', 'da', 'xx', 'hu', 'cs', 'pt', 'is',\n",
              "       'tr', 'nb', 'af', 'pl', 'he', 'ar', 'vi', 'ky', 'id', 'ro', 'fa',\n",
              "       'no', 'sl', 'ps', 'el'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        " sns.catplot(x='original_language', data = df_tmdb, kind='count')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 387
        },
        "id": "jrz2_9QSD8I0",
        "outputId": "16ef4f64-354a-4258-f999-8dbdced195e7"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f6d2deb5710>"
            ]
          },
          "metadata": {},
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(sns.__version__)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wTH5OCkRH7bE",
        "outputId": "8a025b80-fd1a-4ab1-d724-f0585e52c6a4"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.11.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "contagem_de_lingua = df_tmdb[\"original_language\"].value_counts().to_frame().reset_index()\n",
        "contagem_de_lingua.columns = ['original_language','total']\n",
        "contagem_de_lingua.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "FDA8bCKhIJT-",
        "outputId": "d3be753a-0b38-46e3-f4ff-5dfa3db687c0"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  original_language  total\n",
              "0                en   4505\n",
              "1                fr     70\n",
              "2                es     32\n",
              "3                zh     27\n",
              "4                de     27"
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          "metadata": {},
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.pie(contagem_de_lingua['total'],labels = contagem_de_lingua['original_language'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "WfwotF1mJJB3",
        "outputId": "0c8b2aac-6b57-4250-ba05-ce1068036f59"
      },
      "execution_count": 25,
      "outputs": [
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          "metadata": {},
          "execution_count": 25
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          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "total_por_lingua= df_tmdb['original_language'].value_counts()\n",
        "total_geral = total_por_lingua.sum()\n",
        "total_de_ingles = total_por_lingua.loc[\"en\"]\n",
        "total_do_resto = total_geral - total_de_ingles\n",
        "print(total_de_ingles, total_do_resto)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WxI7KwSTJaaL",
        "outputId": "9fc6d681-7882-4732-fa16-f44dba1ef274"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "4505 298\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dados = {\n",
        "    'lingua':['ingles','outros'],\n",
        "    'total':[total_de_ingles, total_do_resto]\n",
        "}\n",
        "\n",
        "dados"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C8ADSN02LwDG",
        "outputId": "3e7cba88-1e99-417c-ccbf-ef0ffa28b433"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'lingua': ['ingles', 'outros'], 'total': [4505, 298]}"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dados = pd.DataFrame(dados)\n",
        "\n",
        "dados"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "BNqvphMfL7lV",
        "outputId": "4275108c-8297-4f62-d936-86a1f7e2f7c7"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   lingua  total\n",
              "0  ingles   4505\n",
              "1  outros    298"
            ],
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              "          const element = document.querySelector('#df-a6d7f8a6-18ce-4684-a232-adbdcd08811d');\n",
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              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.barplot(x=\"lingua\",y='total',data=dados)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "fvWO60dTMFhn",
        "outputId": "f0c311bd-5e6b-4f62-a9b6-9ae42991f462"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f6d2a515250>"
            ]
          },
          "metadata": {},
          "execution_count": 29
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "filmes_sem_lingua_original_em_ingles = df_tmdb.query(\"original_language != 'en'\")\n",
        "total_por_linguas_de_outros_filmes = df_tmdb.query(\"original_language != 'en'\").original_language.value_counts()"
      ],
      "metadata": {
        "id": "MGRqs5PDMuPk"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "sns.catplot(x='original_language', kind='count',\n",
        "            data=filmes_sem_lingua_original_em_ingles, \n",
        "            aspect=2,order=total_por_linguas_de_outros_filmes.index,\n",
        "            palette='rocket')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 387
        },
        "id": "e0FJ3p0bNPtd",
        "outputId": "0e87b3d3-6f4b-4c99-a2e8-7db9cbb060b6"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f6d2a775490>"
            ]
          },
          "metadata": {},
          "execution_count": 31
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_movies.head(2)\n",
        "df_notas.head(2)\n",
        "\n",
        "notas_do_toy_story = df_notas.query('movieId==1')\n",
        "notas_do_jumanji = df_notas.query('movieId==2')\n",
        "print(f'Notas Toy Story:{len(notas_do_toy_story)}\\nNotas do Jumanji:{len(notas_do_jumanji)}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qOfgIQz2NuOT",
        "outputId": "622659cc-c9e4-4550-b021-be0936577f8a"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Notas Toy Story:215\n",
            "Notas do Jumanji:110\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(f'''\n",
        "Média notas Toy Story:{notas_do_toy_story['rating'].mean()}\n",
        "Média notas Jumanji:{notas_do_jumanji['rating'].mean()}\n",
        "''')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wZxh-YI0esuP",
        "outputId": "a9f70c80-c838-4390-e167-cdb0363929c7"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Média notas Toy Story:3.9209302325581397\n",
            "Média notas Jumanji:3.4318181818181817\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Vizualizando a dispersão dos meus dados utilizando o boxplot:"
      ],
      "metadata": {
        "id": "nMBpsGSoMbJJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.boxplot(x= 'movieId', y='rating', data=df_notas.query(\"movieId in [1,2,3,4,5]\"))"
      ],
      "metadata": {
        "id": "_ipoJ0BgfIRf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "outputId": "d5a15e3f-a79b-43c0-b92c-b343b81182d9"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f6d29cce510>"
            ]
          },
          "metadata": {},
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Medias de tendencia central:"
      ],
      "metadata": {
        "id": "7XReQakfRzRU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "notas_do_jumanji.rating.std()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8mVNjxeRMaUK",
        "outputId": "f51333ff-393f-4f09-8237-09a2694298f2"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.8817134921476455"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "notas_do_toy_story.rating.std()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zbe7jHgORWAW",
        "outputId": "f95d293f-dfa5-426b-bf9a-d25403c32b45"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.8348591407114045"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "SvHrcyMnRdFo"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}