Anime_Rekomendasi_wandi.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Anime Recommendation System"
      ],
      "metadata": {
        "id": "Gkyo05Yixe5u"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![istri_gw_bang](https://github.com/Mayumiwandi/My-Learn/assets/84662810/0c0453b2-e155-4219-b8fb-dd3d963f1718)"
      ],
      "metadata": {
        "id": "Vc58k_givHZ4"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Data Collection"
      ],
      "metadata": {
        "id": "oSMbC4gHxghH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Import Library"
      ],
      "metadata": {
        "id": "IGl39l6nx9uG"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "_zqPjEGfOtwu"
      },
      "outputs": [],
      "source": [
        "from google.colab import files\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.metrics.pairwise import cosine_similarity\n",
        "from sklearn.neighbors import NearestNeighbors\n",
        "from sklearn.metrics import calinski_harabasz_score, davies_bouldin_score"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -q kaggle"
      ],
      "metadata": {
        "id": "mYnDP_LtO5GB"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "files.upload()"
      ],
      "metadata": {
        "id": "7-5p8PlZO7S6"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir ~/.kaggle\n",
        "!cp kaggle.json ~/.kaggle\n",
        "!chmod 600 ~/.kaggle/kaggle.json"
      ],
      "metadata": {
        "id": "qTkfleX6PEh_"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Anime Dataset 2023 [Unduh Datasets](https://www.kaggle.com/datasets/dbdmobile/myanimelist-dataset/data?select=anime-filtered.csv)"
      ],
      "metadata": {
        "id": "uet3sRgk1Xbr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!kaggle datasets download -d dbdmobile/myanimelist-dataset"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "06cDPmc-PJur",
        "outputId": "0aff8f9f-74ac-43de-e3ff-965539f0801c"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading myanimelist-dataset.zip to /content\n",
            " 99% 1.79G/1.80G [00:29<00:00, 87.5MB/s]\n",
            "100% 1.80G/1.80G [00:29<00:00, 64.8MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip /content/myanimelist-dataset.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ErNGD0v6PMNP",
        "outputId": "c5423891-0210-4017-8b1d-88f509e01a26"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  /content/myanimelist-dataset.zip\n",
            "  inflating: anime-dataset-2023.csv  \n",
            "  inflating: anime-filtered.csv      \n",
            "  inflating: final_animedataset.csv  \n",
            "  inflating: user-filtered.csv       \n",
            "  inflating: users-details-2023.csv  \n",
            "  inflating: users-score-2023.csv    \n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Dapat kita lihat setelah kita Exstrak file zip, terdapat banyak file csv, tetapi pada kasus ini kita hanya menggunakan file `anime-filtered.csv`"
      ],
      "metadata": {
        "id": "UKp-dJw8yQ6e"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('/content/anime-filtered.csv')"
      ],
      "metadata": {
        "id": "pCjjW_WTPONp"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Data Understanding"
      ],
      "metadata": {
        "id": "TpYFKQtyzMHN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
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      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   anime_id                             Name  Score  \\\n",
              "0         1                     Cowboy Bebop   8.78   \n",
              "1         5  Cowboy Bebop: Tengoku no Tobira   8.39   \n",
              "2         6                           Trigun   8.24   \n",
              "3         7               Witch Hunter Robin   7.27   \n",
              "4         8                   Bouken Ou Beet   6.98   \n",
              "\n",
              "                                              Genres            English name  \\\n",
              "0    Action, Adventure, Comedy, Drama, Sci-Fi, Space            Cowboy Bebop   \n",
              "1              Action, Drama, Mystery, Sci-Fi, Space  Cowboy Bebop:The Movie   \n",
              "2  Action, Sci-Fi, Adventure, Comedy, Drama, Shounen                  Trigun   \n",
              "3  Action, Mystery, Police, Supernatural, Drama, ...      Witch Hunter Robin   \n",
              "4          Adventure, Fantasy, Shounen, Supernatural  Beet the Vandel Buster   \n",
              "\n",
              "                      Japanese name  \\\n",
              "0                         カウボーイビバップ   \n",
              "1                    カウボーイビバップ 天国の扉   \n",
              "2                             トライガン   \n",
              "3  Witch Hunter ROBIN (ウイッチハンターロビン)   \n",
              "4                            冒険王ビィト   \n",
              "\n",
              "                                           sypnopsis   Type Episodes  \\\n",
              "0  In the year 2071, humanity has colonized sever...     TV       26   \n",
              "1  other day, another bounty—such is the life of ...  Movie        1   \n",
              "2  Vash the Stampede is the man with a $$60,000,0...     TV       26   \n",
              "3  ches are individuals with special powers like ...     TV       26   \n",
              "4  It is the dark century and the people are suff...     TV       52   \n",
              "\n",
              "                          Aired  ...         Duration  \\\n",
              "0   Apr 3, 1998 to Apr 24, 1999  ...  24 min. per ep.   \n",
              "1                   Sep 1, 2001  ...    1 hr. 55 min.   \n",
              "2   Apr 1, 1998 to Sep 30, 1998  ...  24 min. per ep.   \n",
              "3   Jul 2, 2002 to Dec 24, 2002  ...  25 min. per ep.   \n",
              "4  Sep 30, 2004 to Sep 29, 2005  ...  23 min. per ep.   \n",
              "\n",
              "                           Rating  Ranked Popularity  Members Favorites  \\\n",
              "0  R - 17+ (violence & profanity)    28.0         39  1251960     61971   \n",
              "1  R - 17+ (violence & profanity)   159.0        518   273145      1174   \n",
              "2       PG-13 - Teens 13 or older   266.0        201   558913     12944   \n",
              "3       PG-13 - Teens 13 or older  2481.0       1467    94683       587   \n",
              "4                   PG - Children  3710.0       4369    13224        18   \n",
              "\n",
              "  Watching  Completed  On-Hold  Dropped  \n",
              "0   105808     718161    71513    26678  \n",
              "1     4143     208333     1935      770  \n",
              "2    29113     343492    25465    13925  \n",
              "3     4300      46165     5121     5378  \n",
              "4      642       7314      766     1108  \n",
              "\n",
              "[5 rows x 25 columns]"
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>anime_id</th>\n",
              "      <th>Name</th>\n",
              "      <th>Score</th>\n",
              "      <th>Genres</th>\n",
              "      <th>English name</th>\n",
              "      <th>Japanese name</th>\n",
              "      <th>sypnopsis</th>\n",
              "      <th>Type</th>\n",
              "      <th>Episodes</th>\n",
              "      <th>Aired</th>\n",
              "      <th>...</th>\n",
              "      <th>Duration</th>\n",
              "      <th>Rating</th>\n",
              "      <th>Ranked</th>\n",
              "      <th>Popularity</th>\n",
              "      <th>Members</th>\n",
              "      <th>Favorites</th>\n",
              "      <th>Watching</th>\n",
              "      <th>Completed</th>\n",
              "      <th>On-Hold</th>\n",
              "      <th>Dropped</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Cowboy Bebop</td>\n",
              "      <td>8.78</td>\n",
              "      <td>Action, Adventure, Comedy, Drama, Sci-Fi, Space</td>\n",
              "      <td>Cowboy Bebop</td>\n",
              "      <td>カウボーイビバップ</td>\n",
              "      <td>In the year 2071, humanity has colonized sever...</td>\n",
              "      <td>TV</td>\n",
              "      <td>26</td>\n",
              "      <td>Apr 3, 1998 to Apr 24, 1999</td>\n",
              "      <td>...</td>\n",
              "      <td>24 min. per ep.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>28.0</td>\n",
              "      <td>39</td>\n",
              "      <td>1251960</td>\n",
              "      <td>61971</td>\n",
              "      <td>105808</td>\n",
              "      <td>718161</td>\n",
              "      <td>71513</td>\n",
              "      <td>26678</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5</td>\n",
              "      <td>Cowboy Bebop: Tengoku no Tobira</td>\n",
              "      <td>8.39</td>\n",
              "      <td>Action, Drama, Mystery, Sci-Fi, Space</td>\n",
              "      <td>Cowboy Bebop:The Movie</td>\n",
              "      <td>カウボーイビバップ 天国の扉</td>\n",
              "      <td>other day, another bounty—such is the life of ...</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>Sep 1, 2001</td>\n",
              "      <td>...</td>\n",
              "      <td>1 hr. 55 min.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>159.0</td>\n",
              "      <td>518</td>\n",
              "      <td>273145</td>\n",
              "      <td>1174</td>\n",
              "      <td>4143</td>\n",
              "      <td>208333</td>\n",
              "      <td>1935</td>\n",
              "      <td>770</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>6</td>\n",
              "      <td>Trigun</td>\n",
              "      <td>8.24</td>\n",
              "      <td>Action, Sci-Fi, Adventure, Comedy, Drama, Shounen</td>\n",
              "      <td>Trigun</td>\n",
              "      <td>トライガン</td>\n",
              "      <td>Vash the Stampede is the man with a $$60,000,0...</td>\n",
              "      <td>TV</td>\n",
              "      <td>26</td>\n",
              "      <td>Apr 1, 1998 to Sep 30, 1998</td>\n",
              "      <td>...</td>\n",
              "      <td>24 min. per ep.</td>\n",
              "      <td>PG-13 - Teens 13 or older</td>\n",
              "      <td>266.0</td>\n",
              "      <td>201</td>\n",
              "      <td>558913</td>\n",
              "      <td>12944</td>\n",
              "      <td>29113</td>\n",
              "      <td>343492</td>\n",
              "      <td>25465</td>\n",
              "      <td>13925</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7</td>\n",
              "      <td>Witch Hunter Robin</td>\n",
              "      <td>7.27</td>\n",
              "      <td>Action, Mystery, Police, Supernatural, Drama, ...</td>\n",
              "      <td>Witch Hunter Robin</td>\n",
              "      <td>Witch Hunter ROBIN (ウイッチハンターロビン)</td>\n",
              "      <td>ches are individuals with special powers like ...</td>\n",
              "      <td>TV</td>\n",
              "      <td>26</td>\n",
              "      <td>Jul 2, 2002 to Dec 24, 2002</td>\n",
              "      <td>...</td>\n",
              "      <td>25 min. per ep.</td>\n",
              "      <td>PG-13 - Teens 13 or older</td>\n",
              "      <td>2481.0</td>\n",
              "      <td>1467</td>\n",
              "      <td>94683</td>\n",
              "      <td>587</td>\n",
              "      <td>4300</td>\n",
              "      <td>46165</td>\n",
              "      <td>5121</td>\n",
              "      <td>5378</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>8</td>\n",
              "      <td>Bouken Ou Beet</td>\n",
              "      <td>6.98</td>\n",
              "      <td>Adventure, Fantasy, Shounen, Supernatural</td>\n",
              "      <td>Beet the Vandel Buster</td>\n",
              "      <td>冒険王ビィト</td>\n",
              "      <td>It is the dark century and the people are suff...</td>\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a4371199-5e6b-40c1-b8d8-be3bba4dd1f5 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df"
            }
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(f'Terdapat  {df.shape[0]} Table dan {df.shape[1]} columns.')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Vx_0NBxxPYRE",
        "outputId": "3f781c1e-2874-4ddd-b1ef-5b4a6ad85b39"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Terdapat  14952 Table dan 25 columns.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for i, (nama_kolom, jumlah) in enumerate(df.count().items(), 1):\n",
        "    print(f\"Kolom {i:2d}: {nama_kolom} - Berjumlah:  {jumlah}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RRmq4WeV0QM4",
        "outputId": "537c1a4d-9527-4ef1-963c-7c9ef1e54e53"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Kolom  1: anime_id - Berjumlah:  14952\n",
            "Kolom  2: Name - Berjumlah:  14952\n",
            "Kolom  3: Score - Berjumlah:  14952\n",
            "Kolom  4: Genres - Berjumlah:  14952\n",
            "Kolom  5: English name - Berjumlah:  14952\n",
            "Kolom  6: Japanese name - Berjumlah:  14952\n",
            "Kolom  7: sypnopsis - Berjumlah:  13602\n",
            "Kolom  8: Type - Berjumlah:  14952\n",
            "Kolom  9: Episodes - Berjumlah:  14952\n",
            "Kolom 10: Aired - Berjumlah:  14952\n",
            "Kolom 11: Premiered - Berjumlah:  14952\n",
            "Kolom 12: Producers - Berjumlah:  14952\n",
            "Kolom 13: Licensors - Berjumlah:  14952\n",
            "Kolom 14: Studios - Berjumlah:  14952\n",
            "Kolom 15: Source - Berjumlah:  14952\n",
            "Kolom 16: Duration - Berjumlah:  14952\n",
            "Kolom 17: Rating - Berjumlah:  14952\n",
            "Kolom 18: Ranked - Berjumlah:  13231\n",
            "Kolom 19: Popularity - Berjumlah:  14952\n",
            "Kolom 20: Members - Berjumlah:  14952\n",
            "Kolom 21: Favorites - Berjumlah:  14952\n",
            "Kolom 22: Watching - Berjumlah:  14952\n",
            "Kolom 23: Completed - Berjumlah:  14952\n",
            "Kolom 24: On-Hold - Berjumlah:  14952\n",
            "Kolom 25: Dropped - Berjumlah:  14952\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bUQmWbOMQi0q",
        "outputId": "2ef0de16-4b86-4744-905d-e8dc5af9bdc3"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 14952 entries, 0 to 14951\n",
            "Data columns (total 25 columns):\n",
            " #   Column         Non-Null Count  Dtype  \n",
            "---  ------         --------------  -----  \n",
            " 0   anime_id       14952 non-null  int64  \n",
            " 1   Name           14952 non-null  object \n",
            " 2   Score          14952 non-null  float64\n",
            " 3   Genres         14952 non-null  object \n",
            " 4   English name   14952 non-null  object \n",
            " 5   Japanese name  14952 non-null  object \n",
            " 6   sypnopsis      13602 non-null  object \n",
            " 7   Type           14952 non-null  object \n",
            " 8   Episodes       14952 non-null  object \n",
            " 9   Aired          14952 non-null  object \n",
            " 10  Premiered      14952 non-null  object \n",
            " 11  Producers      14952 non-null  object \n",
            " 12  Licensors      14952 non-null  object \n",
            " 13  Studios        14952 non-null  object \n",
            " 14  Source         14952 non-null  object \n",
            " 15  Duration       14952 non-null  object \n",
            " 16  Rating         14952 non-null  object \n",
            " 17  Ranked         13231 non-null  float64\n",
            " 18  Popularity     14952 non-null  int64  \n",
            " 19  Members        14952 non-null  int64  \n",
            " 20  Favorites      14952 non-null  int64  \n",
            " 21  Watching       14952 non-null  int64  \n",
            " 22  Completed      14952 non-null  int64  \n",
            " 23  On-Hold        14952 non-null  int64  \n",
            " 24  Dropped        14952 non-null  int64  \n",
            "dtypes: float64(2), int64(8), object(15)\n",
            "memory usage: 2.9+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Dari output yang diberikan, dapat disimpulkan bahwa:\n",
        "\n",
        "Terdapat total _25_ kolom dalam dataframe.  \n",
        "\n",
        "- Dari _25_ kolom tersebut, terdapat _15_ kolom dengan tipe data `object`, yang kemungkinan besar merupakan fitur kategoris. Kolom-kolom tersebut adalah: *_Name, Genres, English name, Japanese name, sypnopsis, Type, Episodes, Aired, Premiered, Producers, Licensors, Studios, Source, Duration, dan Rating._*  \n",
        "\n",
        "- Selanjutnya, terdapat _2_ kolom dengan tipe data `float64`, yang kemungkinan merupakan fitur numerik. Kolom-kolom tersebut adalah *_Score dan Ranked_*.  \n",
        "\n",
        "- Ada _8_ kolom dengan tipe data `int64`, yang mungkin juga merupakan fitur numerik. Kolom-kolom ini adalah: *_anime_id, Popularity, Members, Favorites, Watching, Completed, On-Hold, dan Dropped_*.\n"
      ],
      "metadata": {
        "id": "_hU1Ehe7QqeD"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Tanda\n",
        "Pada proyek ini, meskipun dataset menyediakan berbagai fitur, namun hanya tiga di antaranya yang akan dimanfaatkan untuk membangun model sistem rekomendasi yang sederhana, yaitu `Name`, `Score`, `Genres`,`Type`, dan `Studios`. Meskipun fitur-fitur lainnya mungkin memiliki nilai tambah untuk membangun model yang lebih kompleks, untuk keperluan proyek ini, hanya fitur-fitur tersebut yang akan difokuskan."
      ],
      "metadata": {
        "id": "_PrliQoKQrN8"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Dalam pembuatan model menggunakan _Content Based Filtering_, data yang diperlukan adalah nama anime `Name` dan Genre anime`Genres`. Sementara itu, untuk _Collaborative Filtering_, data yang diperlukan adalah nama anime `Name` dan Score yang diberikan pengguna `Score`."
      ],
      "metadata": {
        "id": "Kke2KcmHQuwN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.duplicated().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VfzbHIpXQlRR",
        "outputId": "3bcd1907-46e9-4a59-8588-61c765a2a1b5"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Tidak terdapat data duplikat"
      ],
      "metadata": {
        "id": "7-lZwezQqNLW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hP3X5dXUQ0hz",
        "outputId": "027cef7b-cf82-4b94-aabb-3d8e7d6e8a09"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "anime_id            0\n",
              "Name                0\n",
              "Score               0\n",
              "Genres              0\n",
              "English name        0\n",
              "Japanese name       0\n",
              "sypnopsis        1350\n",
              "Type                0\n",
              "Episodes            0\n",
              "Aired               0\n",
              "Premiered           0\n",
              "Producers           0\n",
              "Licensors           0\n",
              "Studios             0\n",
              "Source              0\n",
              "Duration            0\n",
              "Rating              0\n",
              "Ranked           1721\n",
              "Popularity          0\n",
              "Members             0\n",
              "Favorites           0\n",
              "Watching            0\n",
              "Completed           0\n",
              "On-Hold             0\n",
              "Dropped             0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Exploratory Data Analysis"
      ],
      "metadata": {
        "id": "IBGVt6vp21_x"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Deskripsi Variabel"
      ],
      "metadata": {
        "id": "O__10JzX5DoH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S2nhOgwkzd6p",
        "outputId": "f477ffd2-e27a-4315-ee27-9b80cfc64f46"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['anime_id', 'Name', 'Score', 'Genres', 'English name', 'Japanese name',\n",
              "       'sypnopsis', 'Type', 'Episodes', 'Aired', 'Premiered', 'Producers',\n",
              "       'Licensors', 'Studios', 'Source', 'Duration', 'Rating', 'Ranked',\n",
              "       'Popularity', 'Members', 'Favorites', 'Watching', 'Completed',\n",
              "       'On-Hold', 'Dropped'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Penjelasan Kolom Dataframe**\n",
        "\n",
        "Kolom datasets anime memiliki informasi berikut:\n",
        "\n",
        "* **`anime_id`:** ID unik untuk setiap anime (angka atau kode pengenal).\n",
        "* **`Name`:** Judul anime dalam bahasa aslinya.\n",
        "* **`Score`:** Skor atau rating yang diberikan kepada anime.\n",
        "* **`Genres`:** Genre anime, dipisahkan dengan koma (misalnya, Aksi, Komedi, Fantasi).\n",
        "* **`English name`:** Judul anime dalam bahasa Inggris (jika tersedia).\n",
        "* **`Japanese name`:** Judul anime dalam bahasa Jepang (jika tersedia).\n",
        "* **`Synopsis`:** Deskripsi singkat atau ringkasan plot anime.\n",
        "* **`Type`:** Jenis anime (misalnya, TV Series, Movie, OVA, dll.).\n",
        "* **`Episodes`:** Jumlah episode dalam anime.\n",
        "* **`Aired`:** Tanggal penayangan anime.\n",
        "* **`Premiered`:** Musim dan tahun penayangan perdana anime.\n",
        "* **`Producers`:** Perusahaan produksi atau produser anime.\n",
        "* **`Licensors`:** Pihak yang memiliki lisensi anime (misalnya, platform streaming).\n",
        "* **`Studios`:** Studio animasi yang mengerjakan anime.\n",
        "* **`Source`:** Sumber materi anime (misalnya, manga, light novel, original).\n",
        "* **`Duration`:** Durasi setiap episode anime.\n",
        "* **`Rating`:** Batasan usia untuk menonton anime.\n",
        "* **`Ranked`:** Peringkat anime berdasarkan popularitas atau kriteria lain.\n",
        "* **`Popularity`:** Peringkat popularitas anime.\n",
        "* **`Members`:** Jumlah anggota yang telah menambahkan anime ke daftar mereka di platform.\n",
        "* **`Favorites`:** Jumlah pengguna yang menandai anime sebagai favorit.\n",
        "* **`Watching`:** Jumlah anime yang sedang ditonton oleh pengguna.\n",
        "* **`Completed`:** Jumlah anime yang telah selesai ditonton oleh pengguna.\n",
        "* **`On Hold`:** Jumlah anime yang ditunda oleh pengguna.\n",
        "* **`Dropped`:** Jumlah anime yang dihentikan oleh pengguna.\n"
      ],
      "metadata": {
        "id": "JR-jHm1lzkG-"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Visualisasi"
      ],
      "metadata": {
        "id": "MVCppOZxtNWV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ona = df.loc[df['Type'] == 'ONA'].count()[0]\n",
        "tv = df.loc[df['Type'] == 'TV'].count()[0]\n",
        "movie = df.loc[df['Type'] == 'Movie'].count()[0]\n",
        "music = df.loc[df['Type'] == 'Music'].count()[0]\n",
        "special = df.loc[df['Type'] == 'Special'].count()[0]\n",
        "ova = df.loc[df['Type'] == 'OVA'].count()[0]\n",
        "\n",
        "labels = ['ONA', 'TV', 'Movie', 'Music', 'Special', 'OVA']\n",
        "colors = ['#81F4E1', '#56CBF9', '#F5D491', '#BEB7A4', '#B4E1FF', '#F06C9B']\n",
        "\n",
        "plt.figure(figsize = (10,7))\n",
        "plt.title('Anime Categories Distribution')\n",
        "plt.pie([ona, tv, movie, music, special, ova],\n",
        "        labels = labels,\n",
        "        colors = colors,\n",
        "        autopct = '%.2f %%'\n",
        "        )\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        },
        "id": "rczYS1dBQ3C4",
        "outputId": "024e35b4-fc15-4318-9ec6-f423cde982c2"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.hist(df.Score, color='#B4E1FF', edgecolor='black')\n",
        "plt.ylabel('Total')\n",
        "plt.xlabel('Avg Rating')\n",
        "plt.title(\"Anime's Average Ratings Distribution\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "YoB-vmTYSAO8",
        "outputId": "fa8d42f0-f6b2-4b75-b060-06d52bd12388"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.describe().T"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "cT_KH59YTkBe",
        "outputId": "b0d7ea01-a7a7-4f9f-d00b-3aa7f1c86a15"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              count          mean            std     min      25%       50%  \\\n",
              "anime_id    14952.0  19017.432718   14588.758618    1.00  4602.50  16729.00   \n",
              "Score       14952.0      6.511526       0.807185    1.85     6.08      6.51   \n",
              "Ranked      13231.0   6829.853828    4168.929475    1.00  3309.50   6618.00   \n",
              "Popularity  14952.0   7465.970907    4313.169381    1.00  3732.00   7466.50   \n",
              "Members     14952.0  40686.475321  134874.350809  200.00   736.00   3493.50   \n",
              "Favorites   14952.0    537.629882    4399.016449    0.00     1.00      6.00   \n",
              "Watching    14952.0   2619.806715   15190.098642    0.00    27.00    127.00   \n",
              "Completed   14952.0  25943.096977   98127.291289    0.00   246.00   1515.50   \n",
              "On-Hold     14952.0   1121.307986    4613.759597    0.00    14.00     78.00   \n",
              "Dropped     14952.0   1377.861891    5110.874501    0.00    48.00    102.00   \n",
              "\n",
              "                 75%         max  \n",
              "anime_id    33513.25    48492.00  \n",
              "Score           7.01        9.19  \n",
              "Ranked       9942.00    15780.00  \n",
              "Popularity  11194.00    17565.00  \n",
              "Members     19193.25  2589552.00  \n",
              "Favorites      47.00   183914.00  \n",
              "Watching      723.00   887333.00  \n",
              "Completed    9797.00  2182587.00  \n",
              "On-Hold       388.25   187919.00  \n",
              "Dropped       377.00   174710.00  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c5d930ae-5ce3-45c4-ab3a-e505ee1442fd\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>anime_id</th>\n",
              "      <td>14952.0</td>\n",
              "      <td>19017.432718</td>\n",
              "      <td>14588.758618</td>\n",
              "      <td>1.00</td>\n",
              "      <td>4602.50</td>\n",
              "      <td>16729.00</td>\n",
              "      <td>33513.25</td>\n",
              "      <td>48492.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Score</th>\n",
              "      <td>14952.0</td>\n",
              "      <td>6.511526</td>\n",
              "      <td>0.807185</td>\n",
              "      <td>1.85</td>\n",
              "      <td>6.08</td>\n",
              "      <td>6.51</td>\n",
              "      <td>7.01</td>\n",
              "      <td>9.19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ranked</th>\n",
              "      <td>13231.0</td>\n",
              "      <td>6829.853828</td>\n",
              "      <td>4168.929475</td>\n",
              "      <td>1.00</td>\n",
              "      <td>3309.50</td>\n",
              "      <td>6618.00</td>\n",
              "      <td>9942.00</td>\n",
              "      <td>15780.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Popularity</th>\n",
              "      <td>14952.0</td>\n",
              "      <td>7465.970907</td>\n",
              "      <td>4313.169381</td>\n",
              "      <td>1.00</td>\n",
              "      <td>3732.00</td>\n",
              "      <td>7466.50</td>\n",
              "      <td>11194.00</td>\n",
              "      <td>17565.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Members</th>\n",
              "      <td>14952.0</td>\n",
              "      <td>40686.475321</td>\n",
              "      <td>134874.350809</td>\n",
              "      <td>200.00</td>\n",
              "      <td>736.00</td>\n",
              "      <td>3493.50</td>\n",
              "      <td>19193.25</td>\n",
              "      <td>2589552.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Favorites</th>\n",
              "      <td>14952.0</td>\n",
              "      <td>537.629882</td>\n",
              "      <td>4399.016449</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>47.00</td>\n",
              "      <td>183914.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Watching</th>\n",
              "      <td>14952.0</td>\n",
              "      <td>2619.806715</td>\n",
              "      <td>15190.098642</td>\n",
              "      <td>0.00</td>\n",
              "      <td>27.00</td>\n",
              "      <td>127.00</td>\n",
              "      <td>723.00</td>\n",
              "      <td>887333.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Completed</th>\n",
              "      <td>14952.0</td>\n",
              "      <td>25943.096977</td>\n",
              "      <td>98127.291289</td>\n",
              "      <td>0.00</td>\n",
              "      <td>246.00</td>\n",
              "      <td>1515.50</td>\n",
              "      <td>9797.00</td>\n",
              "      <td>2182587.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>On-Hold</th>\n",
              "      <td>14952.0</td>\n",
              "      <td>1121.307986</td>\n",
              "      <td>4613.759597</td>\n",
              "      <td>0.00</td>\n",
              "      <td>14.00</td>\n",
              "      <td>78.00</td>\n",
              "      <td>388.25</td>\n",
              "      <td>187919.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dropped</th>\n",
              "      <td>14952.0</td>\n",
              "      <td>1377.861891</td>\n",
              "      <td>5110.874501</td>\n",
              "      <td>0.00</td>\n",
              "      <td>48.00</td>\n",
              "      <td>102.00</td>\n",
              "      <td>377.00</td>\n",
              "      <td>174710.00</td>\n",
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          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.sort_values(by='Members', ascending=False).head()"
      ],
      "metadata": {
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          "height": 620
        },
        "id": "1gRpUiyXTk-q",
        "outputId": "23866788-fcc7-4d77-eb6f-21f440c39aa4"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      anime_id                              Name  Score  \\\n",
              "1393      1535                        Death Note   8.63   \n",
              "7420     16498                Shingeki no Kyojin   8.48   \n",
              "3971      5114  Fullmetal Alchemist: Brotherhood   9.19   \n",
              "6593     11757                  Sword Art Online   7.25   \n",
              "9960     30276                     One Punch Man   8.57   \n",
              "\n",
              "                                                 Genres  \\\n",
              "1393  Mystery, Police, Psychological, Supernatural, ...   \n",
              "7420  Action, Military, Mystery, Super Power, Drama,...   \n",
              "3971  Action, Military, Adventure, Comedy, Drama, Ma...   \n",
              "6593          Action, Game, Adventure, Romance, Fantasy   \n",
              "9960  Action, Sci-Fi, Comedy, Parody, Super Power, S...   \n",
              "\n",
              "                         English name               Japanese name  \\\n",
              "1393                       Death Note                       デスノート   \n",
              "7420                  Attack on Titan                       進撃の巨人   \n",
              "3971  Fullmetal Alchemist:Brotherhood  鋼の錬金術師 FULLMETAL ALCHEMIST   \n",
              "6593                 Sword Art Online                ソードアート・オンライン   \n",
              "9960                    One Punch Man                      ワンパンマン   \n",
              "\n",
              "                                              sypnopsis Type Episodes  \\\n",
              "1393  shinigami, as a god of death, can kill any per...   TV       37   \n",
              "7420  Centuries ago, mankind was slaughtered to near...   TV       25   \n",
              "3971  \"In order for something to be obtained, someth...   TV       64   \n",
              "6593  In the year 2022, virtual reality has progress...   TV       25   \n",
              "9960  The seemingly ordinary and unimpressive Saitam...   TV       12   \n",
              "\n",
              "                            Aired  ...         Duration  \\\n",
              "1393  Oct 4, 2006 to Jun 27, 2007  ...  23 min. per ep.   \n",
              "7420  Apr 7, 2013 to Sep 29, 2013  ...  24 min. per ep.   \n",
              "3971   Apr 5, 2009 to Jul 4, 2010  ...  24 min. per ep.   \n",
              "6593  Jul 8, 2012 to Dec 23, 2012  ...  23 min. per ep.   \n",
              "9960  Oct 5, 2015 to Dec 21, 2015  ...  24 min. per ep.   \n",
              "\n",
              "                              Rating  Ranked Popularity  Members Favorites  \\\n",
              "1393  R - 17+ (violence & profanity)    60.0          1  2589552    145201   \n",
              "7420  R - 17+ (violence & profanity)   115.0          2  2531397    129844   \n",
              "3971  R - 17+ (violence & profanity)     1.0          3  2248456    183914   \n",
              "6593       PG-13 - Teens 13 or older  2584.0          4  2214395     66342   \n",
              "9960  R - 17+ (violence & profanity)    81.0          5  2123866     54435   \n",
              "\n",
              "     Watching  Completed  On-Hold  Dropped  \n",
              "1393   122401    2146116    75054    80834  \n",
              "7420   140753    2182587    37345    44635  \n",
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              "6593    80304    1907261    25632    90661  \n",
              "9960    96568    1841220    30271    26755  \n",
              "\n",
              "[5 rows x 25 columns]"
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              "      <th></th>\n",
              "      <th>anime_id</th>\n",
              "      <th>Name</th>\n",
              "      <th>Score</th>\n",
              "      <th>Genres</th>\n",
              "      <th>English name</th>\n",
              "      <th>Japanese name</th>\n",
              "      <th>sypnopsis</th>\n",
              "      <th>Type</th>\n",
              "      <th>Episodes</th>\n",
              "      <th>Aired</th>\n",
              "      <th>...</th>\n",
              "      <th>Duration</th>\n",
              "      <th>Rating</th>\n",
              "      <th>Ranked</th>\n",
              "      <th>Popularity</th>\n",
              "      <th>Members</th>\n",
              "      <th>Favorites</th>\n",
              "      <th>Watching</th>\n",
              "      <th>Completed</th>\n",
              "      <th>On-Hold</th>\n",
              "      <th>Dropped</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1393</th>\n",
              "      <td>1535</td>\n",
              "      <td>Death Note</td>\n",
              "      <td>8.63</td>\n",
              "      <td>Mystery, Police, Psychological, Supernatural, ...</td>\n",
              "      <td>Death Note</td>\n",
              "      <td>デスノート</td>\n",
              "      <td>shinigami, as a god of death, can kill any per...</td>\n",
              "      <td>TV</td>\n",
              "      <td>37</td>\n",
              "      <td>Oct 4, 2006 to Jun 27, 2007</td>\n",
              "      <td>...</td>\n",
              "      <td>23 min. per ep.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>60.0</td>\n",
              "      <td>1</td>\n",
              "      <td>2589552</td>\n",
              "      <td>145201</td>\n",
              "      <td>122401</td>\n",
              "      <td>2146116</td>\n",
              "      <td>75054</td>\n",
              "      <td>80834</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7420</th>\n",
              "      <td>16498</td>\n",
              "      <td>Shingeki no Kyojin</td>\n",
              "      <td>8.48</td>\n",
              "      <td>Action, Military, Mystery, Super Power, Drama,...</td>\n",
              "      <td>Attack on Titan</td>\n",
              "      <td>進撃の巨人</td>\n",
              "      <td>Centuries ago, mankind was slaughtered to near...</td>\n",
              "      <td>TV</td>\n",
              "      <td>25</td>\n",
              "      <td>Apr 7, 2013 to Sep 29, 2013</td>\n",
              "      <td>...</td>\n",
              "      <td>24 min. per ep.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>115.0</td>\n",
              "      <td>2</td>\n",
              "      <td>2531397</td>\n",
              "      <td>129844</td>\n",
              "      <td>140753</td>\n",
              "      <td>2182587</td>\n",
              "      <td>37345</td>\n",
              "      <td>44635</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3971</th>\n",
              "      <td>5114</td>\n",
              "      <td>Fullmetal Alchemist: Brotherhood</td>\n",
              "      <td>9.19</td>\n",
              "      <td>Action, Military, Adventure, Comedy, Drama, Ma...</td>\n",
              "      <td>Fullmetal Alchemist:Brotherhood</td>\n",
              "      <td>鋼の錬金術師 FULLMETAL ALCHEMIST</td>\n",
              "      <td>\"In order for something to be obtained, someth...</td>\n",
              "      <td>TV</td>\n",
              "      <td>64</td>\n",
              "      <td>Apr 5, 2009 to Jul 4, 2010</td>\n",
              "      <td>...</td>\n",
              "      <td>24 min. per ep.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3</td>\n",
              "      <td>2248456</td>\n",
              "      <td>183914</td>\n",
              "      <td>171871</td>\n",
              "      <td>1644938</td>\n",
              "      <td>75728</td>\n",
              "      <td>32456</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6593</th>\n",
              "      <td>11757</td>\n",
              "      <td>Sword Art Online</td>\n",
              "      <td>7.25</td>\n",
              "      <td>Action, Game, Adventure, Romance, Fantasy</td>\n",
              "      <td>Sword Art Online</td>\n",
              "      <td>ソードアート・オンライン</td>\n",
              "      <td>In the year 2022, virtual reality has progress...</td>\n",
              "      <td>TV</td>\n",
              "      <td>25</td>\n",
              "      <td>Jul 8, 2012 to Dec 23, 2012</td>\n",
              "      <td>...</td>\n",
              "      <td>23 min. per ep.</td>\n",
              "      <td>PG-13 - Teens 13 or older</td>\n",
              "      <td>2584.0</td>\n",
              "      <td>4</td>\n",
              "      <td>2214395</td>\n",
              "      <td>66342</td>\n",
              "      <td>80304</td>\n",
              "      <td>1907261</td>\n",
              "      <td>25632</td>\n",
              "      <td>90661</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9960</th>\n",
              "      <td>30276</td>\n",
              "      <td>One Punch Man</td>\n",
              "      <td>8.57</td>\n",
              "      <td>Action, Sci-Fi, Comedy, Parody, Super Power, S...</td>\n",
              "      <td>One Punch Man</td>\n",
              "      <td>ワンパンマン</td>\n",
              "      <td>The seemingly ordinary and unimpressive Saitam...</td>\n",
              "      <td>TV</td>\n",
              "      <td>12</td>\n",
              "      <td>Oct 5, 2015 to Dec 21, 2015</td>\n",
              "      <td>...</td>\n",
              "      <td>24 min. per ep.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>81.0</td>\n",
              "      <td>5</td>\n",
              "      <td>2123866</td>\n",
              "      <td>54435</td>\n",
              "      <td>96568</td>\n",
              "      <td>1841220</td>\n",
              "      <td>30271</td>\n",
              "      <td>26755</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 25 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f7d2af14-8c77-420f-b7c7-1f88fd0df607')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "    .colab-df-buttons div {\n",
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              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
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              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-f7d2af14-8c77-420f-b7c7-1f88fd0df607 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-f7d2af14-8c77-420f-b7c7-1f88fd0df607');\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",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "\n",
              "\n",
              "<div id=\"df-6ce09547-df81-4168-afab-22308a60b589\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6ce09547-df81-4168-afab-22308a60b589')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    60% {\n",
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              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-6ce09547-df81-4168-afab-22308a60b589 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe"
            }
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (20,15))\n",
        "top10_anime = df[['Name', 'Members']].sort_values(by = 'Members',ascending = False).head(10)\n",
        "\n",
        "colors = ['#87255B', '#56CBF9', '#F5D491', '#BEB7A4', '#B4E1FF', '#F06C9B', '#D3C4D1', '#81F4E1', '#C2AFF0', '#C57B57']\n",
        "\n",
        "\n",
        "labels = top10_anime[['Name']].values.flatten()\n",
        "values = top10_anime[['Members']].values.flatten()\n",
        "\n",
        "plt.barh(labels, values, color = colors, edgecolor='black')\n",
        "plt.grid(color='#95a5a6', linestyle='--', linewidth=2, axis='x', alpha=0.7)\n",
        "plt.xticks(fontsize = 15)\n",
        "plt.yticks(fontsize = 15)\n",
        "plt.title(\"Top 10 Anime Community\", fontdict = {'fontsize' : 20})\n",
        "plt.show()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 924
        },
        "id": "KxJfrT07VQMp",
        "outputId": "d7944e35-e782-4c1d-b803-62fbd312a031"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x1500 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.sort_values(by='Score', ascending=False).head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 706
        },
        "id": "B405X4rmWump",
        "outputId": "e64794b2-5b83-4ce7-9df2-c795785f857e"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       anime_id                                  Name  Score  \\\n",
              "3971       5114      Fullmetal Alchemist: Brotherhood   9.19   \n",
              "13935     40028  Shingeki no Kyojin: The Final Season   9.17   \n",
              "5678       9253                           Steins;Gate   9.11   \n",
              "13364     38524    Shingeki no Kyojin Season 3 Part 2   9.10   \n",
              "6457      11061                Hunter x Hunter (2011)   9.10   \n",
              "\n",
              "                                                  Genres  \\\n",
              "3971   Action, Military, Adventure, Comedy, Drama, Ma...   \n",
              "13935  Action, Military, Mystery, Super Power, Drama,...   \n",
              "5678                                    Thriller, Sci-Fi   \n",
              "13364  Action, Drama, Fantasy, Military, Mystery, Sho...   \n",
              "6457    Action, Adventure, Fantasy, Shounen, Super Power   \n",
              "\n",
              "                          English name               Japanese name  \\\n",
              "3971   Fullmetal Alchemist:Brotherhood  鋼の錬金術師 FULLMETAL ALCHEMIST   \n",
              "13935     Attack on Titan Final Season      進撃の巨人 The Final Season   \n",
              "5678                       Steins;Gate                 STEINS;GATE   \n",
              "13364  Attack on Titan Season 3 Part 2        進撃の巨人 Season3 Part.2   \n",
              "6457                   Hunter x Hunter    HUNTER×HUNTER（ハンター×ハンター）   \n",
              "\n",
              "                                               sypnopsis Type Episodes  \\\n",
              "3971   \"In order for something to be obtained, someth...   TV       64   \n",
              "13935  Gabi Braun and Falco Grice have been training ...   TV       16   \n",
              "5678   The self-proclaimed mad scientist Rintarou Oka...   TV       24   \n",
              "13364  Seeking to restore humanity's diminishing hope...   TV       10   \n",
              "6457   Hunter x Hunter is set in a world where Hunter...   TV      148   \n",
              "\n",
              "                             Aired  ...         Duration  \\\n",
              "3971    Apr 5, 2009 to Jul 4, 2010  ...  24 min. per ep.   \n",
              "13935             Dec 7, 2020 to ?  ...  23 min. per ep.   \n",
              "5678   Apr 6, 2011 to Sep 14, 2011  ...  24 min. per ep.   \n",
              "13364  Apr 29, 2019 to Jul 1, 2019  ...  23 min. per ep.   \n",
              "6457   Oct 2, 2011 to Sep 24, 2014  ...  23 min. per ep.   \n",
              "\n",
              "                               Rating Ranked Popularity  Members Favorites  \\\n",
              "3971   R - 17+ (violence & profanity)    1.0          3  2248456    183914   \n",
              "13935  R - 17+ (violence & profanity)    2.0        119   733260     44862   \n",
              "5678        PG-13 - Teens 13 or older    3.0          9  1771162    148452   \n",
              "13364  R - 17+ (violence & profanity)    4.0         63  1073626     40985   \n",
              "6457        PG-13 - Teens 13 or older    6.0         12  1673924    147274   \n",
              "\n",
              "      Watching  Completed  On-Hold  Dropped  \n",
              "3971    171871    1644938    75728    32456  \n",
              "13935   566239        553     6658     2090  \n",
              "5678    114349    1134756    60926    35600  \n",
              "13364    54607     906824     5533     3099  \n",
              "6457    227277    1094486    79587    31652  \n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>anime_id</th>\n",
              "      <th>Name</th>\n",
              "      <th>Score</th>\n",
              "      <th>Genres</th>\n",
              "      <th>English name</th>\n",
              "      <th>Japanese name</th>\n",
              "      <th>sypnopsis</th>\n",
              "      <th>Type</th>\n",
              "      <th>Episodes</th>\n",
              "      <th>Aired</th>\n",
              "      <th>...</th>\n",
              "      <th>Duration</th>\n",
              "      <th>Rating</th>\n",
              "      <th>Ranked</th>\n",
              "      <th>Popularity</th>\n",
              "      <th>Members</th>\n",
              "      <th>Favorites</th>\n",
              "      <th>Watching</th>\n",
              "      <th>Completed</th>\n",
              "      <th>On-Hold</th>\n",
              "      <th>Dropped</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3971</th>\n",
              "      <td>5114</td>\n",
              "      <td>Fullmetal Alchemist: Brotherhood</td>\n",
              "      <td>9.19</td>\n",
              "      <td>Action, Military, Adventure, Comedy, Drama, Ma...</td>\n",
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              "      <td>鋼の錬金術師 FULLMETAL ALCHEMIST</td>\n",
              "      <td>\"In order for something to be obtained, someth...</td>\n",
              "      <td>TV</td>\n",
              "      <td>64</td>\n",
              "      <td>Apr 5, 2009 to Jul 4, 2010</td>\n",
              "      <td>...</td>\n",
              "      <td>24 min. per ep.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3</td>\n",
              "      <td>2248456</td>\n",
              "      <td>183914</td>\n",
              "      <td>171871</td>\n",
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              "      <td>75728</td>\n",
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              "      <th>13935</th>\n",
              "      <td>40028</td>\n",
              "      <td>Shingeki no Kyojin: The Final Season</td>\n",
              "      <td>9.17</td>\n",
              "      <td>Action, Military, Mystery, Super Power, Drama,...</td>\n",
              "      <td>Attack on Titan Final Season</td>\n",
              "      <td>進撃の巨人 The Final Season</td>\n",
              "      <td>Gabi Braun and Falco Grice have been training ...</td>\n",
              "      <td>TV</td>\n",
              "      <td>16</td>\n",
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              "      <td>23 min. per ep.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>2.0</td>\n",
              "      <td>119</td>\n",
              "      <td>733260</td>\n",
              "      <td>44862</td>\n",
              "      <td>566239</td>\n",
              "      <td>553</td>\n",
              "      <td>6658</td>\n",
              "      <td>2090</td>\n",
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              "    <tr>\n",
              "      <th>5678</th>\n",
              "      <td>9253</td>\n",
              "      <td>Steins;Gate</td>\n",
              "      <td>9.11</td>\n",
              "      <td>Thriller, Sci-Fi</td>\n",
              "      <td>Steins;Gate</td>\n",
              "      <td>STEINS;GATE</td>\n",
              "      <td>The self-proclaimed mad scientist Rintarou Oka...</td>\n",
              "      <td>TV</td>\n",
              "      <td>24</td>\n",
              "      <td>Apr 6, 2011 to Sep 14, 2011</td>\n",
              "      <td>...</td>\n",
              "      <td>24 min. per ep.</td>\n",
              "      <td>PG-13 - Teens 13 or older</td>\n",
              "      <td>3.0</td>\n",
              "      <td>9</td>\n",
              "      <td>1771162</td>\n",
              "      <td>148452</td>\n",
              "      <td>114349</td>\n",
              "      <td>1134756</td>\n",
              "      <td>60926</td>\n",
              "      <td>35600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13364</th>\n",
              "      <td>38524</td>\n",
              "      <td>Shingeki no Kyojin Season 3 Part 2</td>\n",
              "      <td>9.10</td>\n",
              "      <td>Action, Drama, Fantasy, Military, Mystery, Sho...</td>\n",
              "      <td>Attack on Titan Season 3 Part 2</td>\n",
              "      <td>進撃の巨人 Season3 Part.2</td>\n",
              "      <td>Seeking to restore humanity's diminishing hope...</td>\n",
              "      <td>TV</td>\n",
              "      <td>10</td>\n",
              "      <td>Apr 29, 2019 to Jul 1, 2019</td>\n",
              "      <td>...</td>\n",
              "      <td>23 min. per ep.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>4.0</td>\n",
              "      <td>63</td>\n",
              "      <td>1073626</td>\n",
              "      <td>40985</td>\n",
              "      <td>54607</td>\n",
              "      <td>906824</td>\n",
              "      <td>5533</td>\n",
              "      <td>3099</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6457</th>\n",
              "      <td>11061</td>\n",
              "      <td>Hunter x Hunter (2011)</td>\n",
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              "      <td>Action, Adventure, Fantasy, Shounen, Super Power</td>\n",
              "      <td>Hunter x Hunter</td>\n",
              "      <td>HUNTER×HUNTER（ハンター×ハンター）</td>\n",
              "      <td>Hunter x Hunter is set in a world where Hunter...</td>\n",
              "      <td>TV</td>\n",
              "      <td>148</td>\n",
              "      <td>Oct 2, 2011 to Sep 24, 2014</td>\n",
              "      <td>...</td>\n",
              "      <td>23 min. per ep.</td>\n",
              "      <td>PG-13 - Teens 13 or older</td>\n",
              "      <td>6.0</td>\n",
              "      <td>12</td>\n",
              "      <td>1673924</td>\n",
              "      <td>147274</td>\n",
              "      <td>227277</td>\n",
              "      <td>1094486</td>\n",
              "      <td>79587</td>\n",
              "      <td>31652</td>\n",
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              "  </tbody>\n",
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              "<p>5 rows × 25 columns</p>\n",
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          "metadata": {},
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    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (20,15))\n",
        "top10_anime = df[['Name', 'Score']].sort_values(by = 'Score',ascending = False).head(10)\n",
        "\n",
        "colors = ['#87255B', '#56CBF9', '#F5D491', '#BEB7A4', '#B4E1FF', '#F06C9B', '#D3C4D1', '#81F4E1', '#C2AFF0', '#C57B57']\n",
        "\n",
        "\n",
        "labels = top10_anime[['Name']].values.flatten()\n",
        "values = top10_anime[['Score']].values.flatten()\n",
        "\n",
        "plt.barh(labels, values, color = colors, edgecolor='black')\n",
        "plt.grid(color='#95a5a6', linestyle='--', linewidth=2, axis='x', alpha=0.7)\n",
        "plt.xticks(fontsize = 15)\n",
        "plt.yticks(fontsize = 15)\n",
        "plt.title(\"Top 10 Anime Rating\", fontdict = {'fontsize' : 20})\n",
        "plt.show()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 896
        },
        "id": "h--_-RM6Wxfc",
        "outputId": "79d7c80b-6fd5-46e8-d3ef-eaea7a8b675d"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x1500 with 1 Axes>"
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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Data Preparation"
      ],
      "metadata": {
        "id": "_m8GDRJo9RZp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import re\n",
        "\n",
        "def text_cleaning(text):\n",
        "  text = re.sub(r\"[^\\w\\s]\", \"\", text)\n",
        "  text = re.sub(r\"https?://[^\\s]+\", \"\", text)\n",
        "  return text\n",
        "\n",
        "df['Name'] = df['Name'].apply(text_cleaning)\n"
      ],
      "metadata": {
        "id": "K6_1KxXDLkHR"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Menghapus tanda baca alfanumerik dan Hapus link (URL)"
      ],
      "metadata": {
        "id": "Nnz9jGWsOw8E"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "RKEXDWNdMCNs",
        "outputId": "4e6fa84d-18db-418e-c8de-09310db6e077"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       anime_id                             Name  Score  \\\n",
              "0             1                     Cowboy Bebop   8.78   \n",
              "1             5   Cowboy Bebop Tengoku no Tobira   8.39   \n",
              "2             6                           Trigun   8.24   \n",
              "3             7               Witch Hunter Robin   7.27   \n",
              "4             8                   Bouken Ou Beet   6.98   \n",
              "...         ...                              ...    ...   \n",
              "14947     48481  Daomu Biji Zhi Qinling Shen Shu   6.51   \n",
              "14948     48483                      Mierukochan   6.51   \n",
              "14949     48488  Higurashi no Naku Koro ni Sotsu   6.51   \n",
              "14950     48491       Yama no Susume Next Summit   6.51   \n",
              "14951     48492                    Scarlet Nexus   6.51   \n",
              "\n",
              "                                                  Genres  \\\n",
              "0        Action, Adventure, Comedy, Drama, Sci-Fi, Space   \n",
              "1                  Action, Drama, Mystery, Sci-Fi, Space   \n",
              "2      Action, Sci-Fi, Adventure, Comedy, Drama, Shounen   \n",
              "3      Action, Mystery, Police, Supernatural, Drama, ...   \n",
              "4              Adventure, Fantasy, Shounen, Supernatural   \n",
              "...                                                  ...   \n",
              "14947                   Adventure, Mystery, Supernatural   \n",
              "14948                       Comedy, Horror, Supernatural   \n",
              "14949  Mystery, Dementia, Horror, Psychological, Supe...   \n",
              "14950                   Adventure, Slice of Life, Comedy   \n",
              "14951                                    Action, Fantasy   \n",
              "\n",
              "                          English name                     Japanese name  \\\n",
              "0                         Cowboy Bebop                         カウボーイビバップ   \n",
              "1               Cowboy Bebop:The Movie                    カウボーイビバップ 天国の扉   \n",
              "2                               Trigun                             トライガン   \n",
              "3                   Witch Hunter Robin  Witch Hunter ROBIN (ウイッチハンターロビン)   \n",
              "4               Beet the Vandel Buster                            冒険王ビィト   \n",
              "...                                ...                               ...   \n",
              "14947                          Unknown                         盗墓笔记之秦岭神树   \n",
              "14948                          Unknown                           見える子ちゃん   \n",
              "14949  Higurashi:When They Cry – SOTSU                        ひぐらしのなく頃に卒   \n",
              "14950                          Unknown                ヤマノススメ Next Summit   \n",
              "14951                          Unknown                     SCARLET NEXUS   \n",
              "\n",
              "                                               sypnopsis   Type Episodes  \\\n",
              "0      In the year 2071, humanity has colonized sever...     TV       26   \n",
              "1      other day, another bounty—such is the life of ...  Movie        1   \n",
              "2      Vash the Stampede is the man with a $$60,000,0...     TV       26   \n",
              "3      ches are individuals with special powers like ...     TV       26   \n",
              "4      It is the dark century and the people are suff...     TV       52   \n",
              "...                                                  ...    ...      ...   \n",
              "14947  No synopsis information has been added to this...    ONA  Unknown   \n",
              "14948  ko is a typical high school student whose life...     TV  Unknown   \n",
              "14949          Sequel to Higurashi no Naku Koro ni Gou .     TV  Unknown   \n",
              "14950                          New Yama no Susume anime.     TV  Unknown   \n",
              "14951  Solar calendar year 2020: grotesque organisms ...     TV  Unknown   \n",
              "\n",
              "                              Aired  ...         Duration  \\\n",
              "0       Apr 3, 1998 to Apr 24, 1999  ...  24 min. per ep.   \n",
              "1                       Sep 1, 2001  ...    1 hr. 55 min.   \n",
              "2       Apr 1, 1998 to Sep 30, 1998  ...  24 min. per ep.   \n",
              "3       Jul 2, 2002 to Dec 24, 2002  ...  25 min. per ep.   \n",
              "4      Sep 30, 2004 to Sep 29, 2005  ...  23 min. per ep.   \n",
              "...                             ...  ...              ...   \n",
              "14947              Apr 4, 2021 to ?  ...          Unknown   \n",
              "14948                     2021 to ?  ...          Unknown   \n",
              "14949                Jul, 2021 to ?  ...          Unknown   \n",
              "14950                       Unknown  ...          Unknown   \n",
              "14951                Jul, 2021 to ?  ...          Unknown   \n",
              "\n",
              "                               Rating  Ranked Popularity  Members Favorites  \\\n",
              "0      R - 17+ (violence & profanity)    28.0         39  1251960     61971   \n",
              "1      R - 17+ (violence & profanity)   159.0        518   273145      1174   \n",
              "2           PG-13 - Teens 13 or older   266.0        201   558913     12944   \n",
              "3           PG-13 - Teens 13 or older  2481.0       1467    94683       587   \n",
              "4                       PG - Children  3710.0       4369    13224        18   \n",
              "...                               ...     ...        ...      ...       ...   \n",
              "14947                         Unknown     NaN      13116      354         6   \n",
              "14948                         Unknown     NaN      17562     7010        70   \n",
              "14949  R - 17+ (violence & profanity)     NaN      17558    11309        48   \n",
              "14950       PG-13 - Teens 13 or older     NaN      17565     1386         2   \n",
              "14951                         Unknown     NaN      17563      310         0   \n",
              "\n",
              "      Watching  Completed  On-Hold  Dropped  \n",
              "0       105808     718161    71513    26678  \n",
              "1         4143     208333     1935      770  \n",
              "2        29113     343492    25465    13925  \n",
              "3         4300      46165     5121     5378  \n",
              "4          642       7314      766     1108  \n",
              "...        ...        ...      ...      ...  \n",
              "14947        0          0        0        0  \n",
              "14948       14          0       14        0  \n",
              "14949        3          0        0        0  \n",
              "14950       13          2        2        1  \n",
              "14951        4          0        1        1  \n",
              "\n",
              "[14952 rows x 25 columns]"
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              "      <th></th>\n",
              "      <th>anime_id</th>\n",
              "      <th>Name</th>\n",
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              "      <td>Cowboy Bebop</td>\n",
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              "      <td>Cowboy Bebop</td>\n",
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              "      <td>In the year 2071, humanity has colonized sever...</td>\n",
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              "      <td>28.0</td>\n",
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              "      <td>718161</td>\n",
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              "      <td>Cowboy Bebop Tengoku no Tobira</td>\n",
              "      <td>8.39</td>\n",
              "      <td>Action, Drama, Mystery, Sci-Fi, Space</td>\n",
              "      <td>Cowboy Bebop:The Movie</td>\n",
              "      <td>カウボーイビバップ 天国の扉</td>\n",
              "      <td>other day, another bounty—such is the life of ...</td>\n",
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              "      <td>Sep 1, 2001</td>\n",
              "      <td>...</td>\n",
              "      <td>1 hr. 55 min.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>159.0</td>\n",
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              "      <td>4143</td>\n",
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              "      <td>1935</td>\n",
              "      <td>770</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>6</td>\n",
              "      <td>Trigun</td>\n",
              "      <td>8.24</td>\n",
              "      <td>Action, Sci-Fi, Adventure, Comedy, Drama, Shounen</td>\n",
              "      <td>Trigun</td>\n",
              "      <td>トライガン</td>\n",
              "      <td>Vash the Stampede is the man with a $$60,000,0...</td>\n",
              "      <td>TV</td>\n",
              "      <td>26</td>\n",
              "      <td>Apr 1, 1998 to Sep 30, 1998</td>\n",
              "      <td>...</td>\n",
              "      <td>24 min. per ep.</td>\n",
              "      <td>PG-13 - Teens 13 or older</td>\n",
              "      <td>266.0</td>\n",
              "      <td>201</td>\n",
              "      <td>558913</td>\n",
              "      <td>12944</td>\n",
              "      <td>29113</td>\n",
              "      <td>343492</td>\n",
              "      <td>25465</td>\n",
              "      <td>13925</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7</td>\n",
              "      <td>Witch Hunter Robin</td>\n",
              "      <td>7.27</td>\n",
              "      <td>Action, Mystery, Police, Supernatural, Drama, ...</td>\n",
              "      <td>Witch Hunter Robin</td>\n",
              "      <td>Witch Hunter ROBIN (ウイッチハンターロビン)</td>\n",
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              "      <td>26</td>\n",
              "      <td>Jul 2, 2002 to Dec 24, 2002</td>\n",
              "      <td>...</td>\n",
              "      <td>25 min. per ep.</td>\n",
              "      <td>PG-13 - Teens 13 or older</td>\n",
              "      <td>2481.0</td>\n",
              "      <td>1467</td>\n",
              "      <td>94683</td>\n",
              "      <td>587</td>\n",
              "      <td>4300</td>\n",
              "      <td>46165</td>\n",
              "      <td>5121</td>\n",
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              "      <th>4</th>\n",
              "      <td>8</td>\n",
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              "      <td>...</td>\n",
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              "      <td>PG - Children</td>\n",
              "      <td>3710.0</td>\n",
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              "      <td>盗墓笔记之秦岭神树</td>\n",
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              "      <td>Unknown</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>354</td>\n",
              "      <td>6</td>\n",
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              "      <td>...</td>\n",
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              "      <td>48488</td>\n",
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              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-b4971e58-4a52-4f4e-bf43-ef4b9b767b9b button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df"
            }
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.duplicated().sum()"
      ],
      "metadata": {
        "id": "JeFRRQAsXZkM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7cd5b5a3-8459-4019-c41a-bdb867947aa8"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Tidak terdapat data duplikat"
      ],
      "metadata": {
        "id": "q85PyJpz9ZKT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JgCjyFDk9Yc9",
        "outputId": "16999cbd-d778-471a-fb18-9545e8f7bae1"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "anime_id            0\n",
              "Name                0\n",
              "Score               0\n",
              "Genres              0\n",
              "English name        0\n",
              "Japanese name       0\n",
              "sypnopsis        1350\n",
              "Type                0\n",
              "Episodes            0\n",
              "Aired               0\n",
              "Premiered           0\n",
              "Producers           0\n",
              "Licensors           0\n",
              "Studios             0\n",
              "Source              0\n",
              "Duration            0\n",
              "Rating              0\n",
              "Ranked           1721\n",
              "Popularity          0\n",
              "Members             0\n",
              "Favorites           0\n",
              "Watching            0\n",
              "Completed           0\n",
              "On-Hold             0\n",
              "Dropped             0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Terdapat *Missing value* pada kolom `sypnopsis dan Ranked`"
      ],
      "metadata": {
        "id": "nqYTxuAM9fuX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = df.dropna()"
      ],
      "metadata": {
        "id": "nOGCmGzA9e0V"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Menghapus data *Missing value*"
      ],
      "metadata": {
        "id": "oAU9mc3V9-zn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "coUODUBf97M0",
        "outputId": "8bb0ad16-b3a2-4416-dc64-1bf51b9abb25"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "anime_id         0\n",
              "Name             0\n",
              "Score            0\n",
              "Genres           0\n",
              "English name     0\n",
              "Japanese name    0\n",
              "sypnopsis        0\n",
              "Type             0\n",
              "Episodes         0\n",
              "Aired            0\n",
              "Premiered        0\n",
              "Producers        0\n",
              "Licensors        0\n",
              "Studios          0\n",
              "Source           0\n",
              "Duration         0\n",
              "Rating           0\n",
              "Ranked           0\n",
              "Popularity       0\n",
              "Members          0\n",
              "Favorites        0\n",
              "Watching         0\n",
              "Completed        0\n",
              "On-Hold          0\n",
              "Dropped          0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(f'Terdapat  {df.shape[0]} Table dan {df.shape[1]} columns.')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E7noMVj599kf",
        "outputId": "684b4c76-03c7-494f-8428-7a433e13fa03"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Terdapat  13229 Table dan 25 columns.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Yang awalnya jumlah dataset sebanyak `14952` dan dengan menghapus jumlah *missing value* dataset sekarang menjadi `13229`."
      ],
      "metadata": {
        "id": "b8OpSuwY-XxE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.describe().T"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "_scGm1Kg-P4Q",
        "outputId": "1dcae1d3-3972-4f74-a476-7423af62afe7"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              count          mean            std     min      25%       50%  \\\n",
              "anime_id    13229.0  18916.527478   14310.284710    1.00  4772.00  17113.00   \n",
              "Score       13229.0      6.549368       0.822849    1.85     6.12      6.51   \n",
              "Ranked      13229.0   6829.241364    4168.674693    1.00  3309.00   6614.00   \n",
              "Popularity  13229.0   7463.690906    4487.187134    1.00  3392.00   7517.00   \n",
              "Members     13229.0  45059.734523  142720.285794  200.00   641.00   3389.00   \n",
              "Favorites   13229.0    601.686900    4672.643973    0.00     1.00      5.00   \n",
              "Watching    13229.0   2908.379243   16125.259019    0.00    26.00    113.00   \n",
              "Completed   13229.0  28973.528611  103921.255801    0.00   247.00   1561.00   \n",
              "On-Hold     13229.0   1243.211505    4891.246416    0.00    14.00     71.00   \n",
              "Dropped     13229.0   1534.773830    5412.823280    0.00    48.00     97.00   \n",
              "\n",
              "                 75%         max  \n",
              "anime_id    33191.00    48456.00  \n",
              "Score           7.08        9.19  \n",
              "Ranked       9941.00    15780.00  \n",
              "Popularity  11514.00    17500.00  \n",
              "Members     23222.00  2589552.00  \n",
              "Favorites      51.00   183914.00  \n",
              "Watching      803.00   887333.00  \n",
              "Completed   12523.00  2182587.00  \n",
              "On-Hold       459.00   187919.00  \n",
              "Dropped       454.00   174710.00  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-dd6ace3b-d4fe-414a-a4b2-bdd7b2efbba9\" class=\"colab-df-container\">\n",
              "    <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>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>anime_id</th>\n",
              "      <td>13229.0</td>\n",
              "      <td>18916.527478</td>\n",
              "      <td>14310.284710</td>\n",
              "      <td>1.00</td>\n",
              "      <td>4772.00</td>\n",
              "      <td>17113.00</td>\n",
              "      <td>33191.00</td>\n",
              "      <td>48456.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Score</th>\n",
              "      <td>13229.0</td>\n",
              "      <td>6.549368</td>\n",
              "      <td>0.822849</td>\n",
              "      <td>1.85</td>\n",
              "      <td>6.12</td>\n",
              "      <td>6.51</td>\n",
              "      <td>7.08</td>\n",
              "      <td>9.19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ranked</th>\n",
              "      <td>13229.0</td>\n",
              "      <td>6829.241364</td>\n",
              "      <td>4168.674693</td>\n",
              "      <td>1.00</td>\n",
              "      <td>3309.00</td>\n",
              "      <td>6614.00</td>\n",
              "      <td>9941.00</td>\n",
              "      <td>15780.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Popularity</th>\n",
              "      <td>13229.0</td>\n",
              "      <td>7463.690906</td>\n",
              "      <td>4487.187134</td>\n",
              "      <td>1.00</td>\n",
              "      <td>3392.00</td>\n",
              "      <td>7517.00</td>\n",
              "      <td>11514.00</td>\n",
              "      <td>17500.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Members</th>\n",
              "      <td>13229.0</td>\n",
              "      <td>45059.734523</td>\n",
              "      <td>142720.285794</td>\n",
              "      <td>200.00</td>\n",
              "      <td>641.00</td>\n",
              "      <td>3389.00</td>\n",
              "      <td>23222.00</td>\n",
              "      <td>2589552.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Favorites</th>\n",
              "      <td>13229.0</td>\n",
              "      <td>601.686900</td>\n",
              "      <td>4672.643973</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>5.00</td>\n",
              "      <td>51.00</td>\n",
              "      <td>183914.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Watching</th>\n",
              "      <td>13229.0</td>\n",
              "      <td>2908.379243</td>\n",
              "      <td>16125.259019</td>\n",
              "      <td>0.00</td>\n",
              "      <td>26.00</td>\n",
              "      <td>113.00</td>\n",
              "      <td>803.00</td>\n",
              "      <td>887333.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Completed</th>\n",
              "      <td>13229.0</td>\n",
              "      <td>28973.528611</td>\n",
              "      <td>103921.255801</td>\n",
              "      <td>0.00</td>\n",
              "      <td>247.00</td>\n",
              "      <td>1561.00</td>\n",
              "      <td>12523.00</td>\n",
              "      <td>2182587.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>On-Hold</th>\n",
              "      <td>13229.0</td>\n",
              "      <td>1243.211505</td>\n",
              "      <td>4891.246416</td>\n",
              "      <td>0.00</td>\n",
              "      <td>14.00</td>\n",
              "      <td>71.00</td>\n",
              "      <td>459.00</td>\n",
              "      <td>187919.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dropped</th>\n",
              "      <td>13229.0</td>\n",
              "      <td>1534.773830</td>\n",
              "      <td>5412.823280</td>\n",
              "      <td>0.00</td>\n",
              "      <td>48.00</td>\n",
              "      <td>97.00</td>\n",
              "      <td>454.00</td>\n",
              "      <td>174710.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-dd6ace3b-d4fe-414a-a4b2-bdd7b2efbba9')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-dd6ace3b-d4fe-414a-a4b2-bdd7b2efbba9 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-dd6ace3b-d4fe-414a-a4b2-bdd7b2efbba9');\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",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-6be405a8-80dd-4ec6-a126-a5d9da224b55\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6be405a8-80dd-4ec6-a126-a5d9da224b55')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-6be405a8-80dd-4ec6-a126-a5d9da224b55 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 10,\n  \"fields\": [\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 13229.0,\n        \"max\": 13229.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          13229.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 15105.82935410403,\n        \"min\": 6.549368055030614,\n        \"max\": 45059.73452263966,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          1243.211505026835\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"std\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 50225.49746367629,\n        \"min\": 0.8228490629242469,\n        \"max\": 142720.2857939652,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          4891.24641568562\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"min\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 63.07849629187781,\n        \"min\": 0.0,\n        \"max\": 200.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1.85\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"25%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1831.41538794938,\n        \"min\": 1.0,\n        \"max\": 4772.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          14.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"50%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5516.921858972628,\n        \"min\": 5.0,\n        \"max\": 17113.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          71.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"75%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 11454.009637511028,\n        \"min\": 7.08,\n        \"max\": 33191.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          459.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"max\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 966425.1044122798,\n        \"min\": 9.19,\n        \"max\": 2589552.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          187919.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Fungsi `describe()` memberikan informasi statistik pada masing-masing kolom, antara lain:\n",
        "\n",
        "- `Count` adalah jumlah sampel pada data.\n",
        "- `Mean` adalah nilai rata-rata.\n",
        "- `Std` adalah standar deviasi.\n",
        "- `Min` yaitu nilai minimum setiap kolom.\n",
        "- `25%` adalah kuartil pertama. Kuartil adalah nilai yang menandai batas interval dalam empat bagian sebaran yang sama.\n",
        "- `50%` adalah kuartil kedua, atau biasa juga disebut median (nilai tengah). - 75% adalah kuartil ketiga.\n",
        "- `Max` adalah nilai maksimum."
      ],
      "metadata": {
        "id": "cJ3isCY6q28T"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Model Development"
      ],
      "metadata": {
        "id": "h-1E24wJBLdb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "z7hM9oXG-8O_",
        "outputId": "bcdc4b08-d5be-4001-98bd-00dc9583caed"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       anime_id                                           Name  Score  \\\n",
              "0             1                                   Cowboy Bebop   8.78   \n",
              "1             5                 Cowboy Bebop Tengoku no Tobira   8.39   \n",
              "2             6                                         Trigun   8.24   \n",
              "3             7                             Witch Hunter Robin   7.27   \n",
              "4             8                                 Bouken Ou Beet   6.98   \n",
              "...         ...                                            ...    ...   \n",
              "14916     47591    Kuro Gal ni Natta kara Shinyuu to shitemita   6.51   \n",
              "14917     47614   Nu Wushen de Canzhuo Spring Festival Special   6.83   \n",
              "14918     47616  Yakusoku no Neverland 2nd Season Michishirube   4.81   \n",
              "14924     47795                 Ai Zai Xi Yuan Qian 2nd Season   6.51   \n",
              "14943     48456                              SK Crazy Rock Jam   6.52   \n",
              "\n",
              "                                                  Genres  \\\n",
              "0        Action, Adventure, Comedy, Drama, Sci-Fi, Space   \n",
              "1                  Action, Drama, Mystery, Sci-Fi, Space   \n",
              "2      Action, Sci-Fi, Adventure, Comedy, Drama, Shounen   \n",
              "3      Action, Mystery, Police, Supernatural, Drama, ...   \n",
              "4              Adventure, Fantasy, Shounen, Supernatural   \n",
              "...                                                  ...   \n",
              "14916                                Romance, Shounen Ai   \n",
              "14917                              Slice of Life, Comedy   \n",
              "14918  Mystery, Psychological, Supernatural, Thriller...   \n",
              "14924                                   Fantasy, Romance   \n",
              "14943                                     Comedy, Sports   \n",
              "\n",
              "                                         English name  \\\n",
              "0                                        Cowboy Bebop   \n",
              "1                              Cowboy Bebop:The Movie   \n",
              "2                                              Trigun   \n",
              "3                                  Witch Hunter Robin   \n",
              "4                              Beet the Vandel Buster   \n",
              "...                                               ...   \n",
              "14916                                         Unknown   \n",
              "14917  Cooking with Valkyries Spring Festival Special   \n",
              "14918     The Promised Neverland Season 2 Episode 5.5   \n",
              "14924              Immemorial Love For You 2nd Season   \n",
              "14943                                         Unknown   \n",
              "\n",
              "                            Japanese name  \\\n",
              "0                               カウボーイビバップ   \n",
              "1                          カウボーイビバップ 天国の扉   \n",
              "2                                   トライガン   \n",
              "3        Witch Hunter ROBIN (ウイッチハンターロビン)   \n",
              "4                                  冒険王ビィト   \n",
              "...                                   ...   \n",
              "14916                  黒ギャルになったから親友としてみた。   \n",
              "14917                             Unknown   \n",
              "14918                   約束のネバーランド 特別編「道標」   \n",
              "14924                           爱在西元前 第二季   \n",
              "14943  SK∞ エスケーエイト #9.5 PART『クレイジーロックJAM』   \n",
              "\n",
              "                                               sypnopsis     Type Episodes  \\\n",
              "0      In the year 2071, humanity has colonized sever...       TV       26   \n",
              "1      other day, another bounty—such is the life of ...    Movie        1   \n",
              "2      Vash the Stampede is the man with a $$60,000,0...       TV       26   \n",
              "3      ches are individuals with special powers like ...       TV       26   \n",
              "4      It is the dark century and the people are suff...       TV       52   \n",
              "...                                                  ...      ...      ...   \n",
              "14916  Shion and Rui are the dream team when it comes...       TV  Unknown   \n",
              "14917  No synopsis information has been added to this...  Special        1   \n",
              "14918  cap of the first season of Yakusoku no Neverla...  Special        1   \n",
              "14924  No synopsis information has been added to this...      ONA       16   \n",
              "14943               cap of the first 9 episodes of SK∞ .  Special        1   \n",
              "\n",
              "                              Aired  ...         Duration  \\\n",
              "0       Apr 3, 1998 to Apr 24, 1999  ...  24 min. per ep.   \n",
              "1                       Sep 1, 2001  ...    1 hr. 55 min.   \n",
              "2       Apr 1, 1998 to Sep 30, 1998  ...  24 min. per ep.   \n",
              "3       Jul 2, 2002 to Dec 24, 2002  ...  25 min. per ep.   \n",
              "4      Sep 30, 2004 to Sep 29, 2005  ...  23 min. per ep.   \n",
              "...                             ...  ...              ...   \n",
              "14916             Feb 11, 2021 to ?  ...           4 min.   \n",
              "14917                  Feb 11, 2021  ...          10 min.   \n",
              "14918                  Feb 12, 2021  ...          23 min.   \n",
              "14924             Feb 14, 2021 to ?  ...          Unknown   \n",
              "14943                  Mar 14, 2021  ...          23 min.   \n",
              "\n",
              "                               Rating   Ranked Popularity  Members Favorites  \\\n",
              "0      R - 17+ (violence & profanity)     28.0         39  1251960     61971   \n",
              "1      R - 17+ (violence & profanity)    159.0        518   273145      1174   \n",
              "2           PG-13 - Teens 13 or older    266.0        201   558913     12944   \n",
              "3           PG-13 - Teens 13 or older   2481.0       1467    94683       587   \n",
              "4                       PG - Children   3710.0       4369    13224        18   \n",
              "...                               ...      ...        ...      ...       ...   \n",
              "14916                R+ - Mild Nudity  15231.0       7387     3636        90   \n",
              "14917                   PG - Children   4382.0      11973      540         8   \n",
              "14918  R - 17+ (violence & profanity)  10760.0       4398    13070        90   \n",
              "14924                         Unknown  13254.0      12411      463        35   \n",
              "14943       PG-13 - Teens 13 or older   5799.0       4830    10722       167   \n",
              "\n",
              "      Watching  Completed  On-Hold  Dropped  \n",
              "0       105808     718161    71513    26678  \n",
              "1         4143     208333     1935      770  \n",
              "2        29113     343492    25465    13925  \n",
              "3         4300      46165     5121     5378  \n",
              "4          642       7314      766     1108  \n",
              "...        ...        ...      ...      ...  \n",
              "14916      768          3       79       35  \n",
              "14917       51        168       18        2  \n",
              "14918     1183       8196      119      202  \n",
              "14924       40          0        7        7  \n",
              "14943      739       7207       57       45  \n",
              "\n",
              "[13229 rows x 25 columns]"
            ],
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              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>anime_id</th>\n",
              "      <th>Name</th>\n",
              "      <th>Score</th>\n",
              "      <th>Genres</th>\n",
              "      <th>English name</th>\n",
              "      <th>Japanese name</th>\n",
              "      <th>sypnopsis</th>\n",
              "      <th>Type</th>\n",
              "      <th>Episodes</th>\n",
              "      <th>Aired</th>\n",
              "      <th>...</th>\n",
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              "      <th>Watching</th>\n",
              "      <th>Completed</th>\n",
              "      <th>On-Hold</th>\n",
              "      <th>Dropped</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Cowboy Bebop</td>\n",
              "      <td>8.78</td>\n",
              "      <td>Action, Adventure, Comedy, Drama, Sci-Fi, Space</td>\n",
              "      <td>Cowboy Bebop</td>\n",
              "      <td>カウボーイビバップ</td>\n",
              "      <td>In the year 2071, humanity has colonized sever...</td>\n",
              "      <td>TV</td>\n",
              "      <td>26</td>\n",
              "      <td>Apr 3, 1998 to Apr 24, 1999</td>\n",
              "      <td>...</td>\n",
              "      <td>24 min. per ep.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>28.0</td>\n",
              "      <td>39</td>\n",
              "      <td>1251960</td>\n",
              "      <td>61971</td>\n",
              "      <td>105808</td>\n",
              "      <td>718161</td>\n",
              "      <td>71513</td>\n",
              "      <td>26678</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5</td>\n",
              "      <td>Cowboy Bebop Tengoku no Tobira</td>\n",
              "      <td>8.39</td>\n",
              "      <td>Action, Drama, Mystery, Sci-Fi, Space</td>\n",
              "      <td>Cowboy Bebop:The Movie</td>\n",
              "      <td>カウボーイビバップ 天国の扉</td>\n",
              "      <td>other day, another bounty—such is the life of ...</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>Sep 1, 2001</td>\n",
              "      <td>...</td>\n",
              "      <td>1 hr. 55 min.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>159.0</td>\n",
              "      <td>518</td>\n",
              "      <td>273145</td>\n",
              "      <td>1174</td>\n",
              "      <td>4143</td>\n",
              "      <td>208333</td>\n",
              "      <td>1935</td>\n",
              "      <td>770</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>6</td>\n",
              "      <td>Trigun</td>\n",
              "      <td>8.24</td>\n",
              "      <td>Action, Sci-Fi, Adventure, Comedy, Drama, Shounen</td>\n",
              "      <td>Trigun</td>\n",
              "      <td>トライガン</td>\n",
              "      <td>Vash the Stampede is the man with a $$60,000,0...</td>\n",
              "      <td>TV</td>\n",
              "      <td>26</td>\n",
              "      <td>Apr 1, 1998 to Sep 30, 1998</td>\n",
              "      <td>...</td>\n",
              "      <td>24 min. per ep.</td>\n",
              "      <td>PG-13 - Teens 13 or older</td>\n",
              "      <td>266.0</td>\n",
              "      <td>201</td>\n",
              "      <td>558913</td>\n",
              "      <td>12944</td>\n",
              "      <td>29113</td>\n",
              "      <td>343492</td>\n",
              "      <td>25465</td>\n",
              "      <td>13925</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7</td>\n",
              "      <td>Witch Hunter Robin</td>\n",
              "      <td>7.27</td>\n",
              "      <td>Action, Mystery, Police, Supernatural, Drama, ...</td>\n",
              "      <td>Witch Hunter Robin</td>\n",
              "      <td>Witch Hunter ROBIN (ウイッチハンターロビン)</td>\n",
              "      <td>ches are individuals with special powers like ...</td>\n",
              "      <td>TV</td>\n",
              "      <td>26</td>\n",
              "      <td>Jul 2, 2002 to Dec 24, 2002</td>\n",
              "      <td>...</td>\n",
              "      <td>25 min. per ep.</td>\n",
              "      <td>PG-13 - Teens 13 or older</td>\n",
              "      <td>2481.0</td>\n",
              "      <td>1467</td>\n",
              "      <td>94683</td>\n",
              "      <td>587</td>\n",
              "      <td>4300</td>\n",
              "      <td>46165</td>\n",
              "      <td>5121</td>\n",
              "      <td>5378</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>8</td>\n",
              "      <td>Bouken Ou Beet</td>\n",
              "      <td>6.98</td>\n",
              "      <td>Adventure, Fantasy, Shounen, Supernatural</td>\n",
              "      <td>Beet the Vandel Buster</td>\n",
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              "      <td>TV</td>\n",
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              "      <td>...</td>\n",
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              "      <td>PG - Children</td>\n",
              "      <td>3710.0</td>\n",
              "      <td>4369</td>\n",
              "      <td>13224</td>\n",
              "      <td>18</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14916</th>\n",
              "      <td>47591</td>\n",
              "      <td>Kuro Gal ni Natta kara Shinyuu to shitemita</td>\n",
              "      <td>6.51</td>\n",
              "      <td>Romance, Shounen Ai</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>黒ギャルになったから親友としてみた。</td>\n",
              "      <td>Shion and Rui are the dream team when it comes...</td>\n",
              "      <td>TV</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Feb 11, 2021 to ?</td>\n",
              "      <td>...</td>\n",
              "      <td>4 min.</td>\n",
              "      <td>R+ - Mild Nudity</td>\n",
              "      <td>15231.0</td>\n",
              "      <td>7387</td>\n",
              "      <td>3636</td>\n",
              "      <td>90</td>\n",
              "      <td>768</td>\n",
              "      <td>3</td>\n",
              "      <td>79</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14917</th>\n",
              "      <td>47614</td>\n",
              "      <td>Nu Wushen de Canzhuo Spring Festival Special</td>\n",
              "      <td>6.83</td>\n",
              "      <td>Slice of Life, Comedy</td>\n",
              "      <td>Cooking with Valkyries Spring Festival Special</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>No synopsis information has been added to this...</td>\n",
              "      <td>Special</td>\n",
              "      <td>1</td>\n",
              "      <td>Feb 11, 2021</td>\n",
              "      <td>...</td>\n",
              "      <td>10 min.</td>\n",
              "      <td>PG - Children</td>\n",
              "      <td>4382.0</td>\n",
              "      <td>11973</td>\n",
              "      <td>540</td>\n",
              "      <td>8</td>\n",
              "      <td>51</td>\n",
              "      <td>168</td>\n",
              "      <td>18</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14918</th>\n",
              "      <td>47616</td>\n",
              "      <td>Yakusoku no Neverland 2nd Season Michishirube</td>\n",
              "      <td>4.81</td>\n",
              "      <td>Mystery, Psychological, Supernatural, Thriller...</td>\n",
              "      <td>The Promised Neverland Season 2 Episode 5.5</td>\n",
              "      <td>約束のネバーランド 特別編「道標」</td>\n",
              "      <td>cap of the first season of Yakusoku no Neverla...</td>\n",
              "      <td>Special</td>\n",
              "      <td>1</td>\n",
              "      <td>Feb 12, 2021</td>\n",
              "      <td>...</td>\n",
              "      <td>23 min.</td>\n",
              "      <td>R - 17+ (violence &amp; profanity)</td>\n",
              "      <td>10760.0</td>\n",
              "      <td>4398</td>\n",
              "      <td>13070</td>\n",
              "      <td>90</td>\n",
              "      <td>1183</td>\n",
              "      <td>8196</td>\n",
              "      <td>119</td>\n",
              "      <td>202</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14924</th>\n",
              "      <td>47795</td>\n",
              "      <td>Ai Zai Xi Yuan Qian 2nd Season</td>\n",
              "      <td>6.51</td>\n",
              "      <td>Fantasy, Romance</td>\n",
              "      <td>Immemorial Love For You 2nd Season</td>\n",
              "      <td>爱在西元前 第二季</td>\n",
              "      <td>No synopsis information has been added to this...</td>\n",
              "      <td>ONA</td>\n",
              "      <td>16</td>\n",
              "      <td>Feb 14, 2021 to ?</td>\n",
              "      <td>...</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>13254.0</td>\n",
              "      <td>12411</td>\n",
              "      <td>463</td>\n",
              "      <td>35</td>\n",
              "      <td>40</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14943</th>\n",
              "      <td>48456</td>\n",
              "      <td>SK Crazy Rock Jam</td>\n",
              "      <td>6.52</td>\n",
              "      <td>Comedy, Sports</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>SK∞ エスケーエイト #9.5 PART『クレイジーロックJAM』</td>\n",
              "      <td>cap of the first 9 episodes of SK∞ .</td>\n",
              "      <td>Special</td>\n",
              "      <td>1</td>\n",
              "      <td>Mar 14, 2021</td>\n",
              "      <td>...</td>\n",
              "      <td>23 min.</td>\n",
              "      <td>PG-13 - Teens 13 or older</td>\n",
              "      <td>5799.0</td>\n",
              "      <td>4830</td>\n",
              "      <td>10722</td>\n",
              "      <td>167</td>\n",
              "      <td>739</td>\n",
              "      <td>7207</td>\n",
              "      <td>57</td>\n",
              "      <td>45</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>13229 rows × 25 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
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              "\n",
              "  <style>\n",
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              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "        document.querySelector('#df-f7c0cb25-720b-4b69-a373-cc7e195f4cbe button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-f7c0cb25-720b-4b69-a373-cc7e195f4cbe');\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",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
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              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fe5b66d5-f0ab-496c-b95a-0843d4e24ae6')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "      --hover-bg-color: #E2EBFA;\n",
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              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-fe5b66d5-f0ab-496c-b95a-0843d4e24ae6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df"
            }
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = df.drop(columns=['anime_id',\n",
        "                        'Episodes',\n",
        "                        'English name',\n",
        "                        'Japanese name',\n",
        "                        'sypnopsis',\n",
        "                        'Episodes',\n",
        "                        'Aired',\n",
        "                        'Premiered',\n",
        "                        'Producers',\n",
        "                        'Licensors',\n",
        "                        'Source',\n",
        "                        'Duration',\n",
        "                        'Rating',\n",
        "                        'Ranked',\n",
        "                        'Popularity',\n",
        "                        'Members',\n",
        "                        'Favorites',\n",
        "                        'Watching',\n",
        "                        'Completed',\n",
        "                        'On-Hold',\n",
        "                        'Dropped'])"
      ],
      "metadata": {
        "id": "208_5bq0Bjbw"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Mengahapus kolom yang tidak dibutuhkan pada model kali ini."
      ],
      "metadata": {
        "id": "gRjPx2PbsUxC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "YSAM2w90JSKl",
        "outputId": "2fcf220d-9500-4a0c-9ddd-71581a7f8b7c"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                Name  Score  \\\n",
              "0                                       Cowboy Bebop   8.78   \n",
              "1                     Cowboy Bebop Tengoku no Tobira   8.39   \n",
              "2                                             Trigun   8.24   \n",
              "3                                 Witch Hunter Robin   7.27   \n",
              "4                                     Bouken Ou Beet   6.98   \n",
              "...                                              ...    ...   \n",
              "14916    Kuro Gal ni Natta kara Shinyuu to shitemita   6.51   \n",
              "14917   Nu Wushen de Canzhuo Spring Festival Special   6.83   \n",
              "14918  Yakusoku no Neverland 2nd Season Michishirube   4.81   \n",
              "14924                 Ai Zai Xi Yuan Qian 2nd Season   6.51   \n",
              "14943                              SK Crazy Rock Jam   6.52   \n",
              "\n",
              "                                                  Genres     Type  \\\n",
              "0        Action, Adventure, Comedy, Drama, Sci-Fi, Space       TV   \n",
              "1                  Action, Drama, Mystery, Sci-Fi, Space    Movie   \n",
              "2      Action, Sci-Fi, Adventure, Comedy, Drama, Shounen       TV   \n",
              "3      Action, Mystery, Police, Supernatural, Drama, ...       TV   \n",
              "4              Adventure, Fantasy, Shounen, Supernatural       TV   \n",
              "...                                                  ...      ...   \n",
              "14916                                Romance, Shounen Ai       TV   \n",
              "14917                              Slice of Life, Comedy  Special   \n",
              "14918  Mystery, Psychological, Supernatural, Thriller...  Special   \n",
              "14924                                   Fantasy, Romance      ONA   \n",
              "14943                                     Comedy, Sports  Special   \n",
              "\n",
              "              Studios  \n",
              "0             Sunrise  \n",
              "1               Bones  \n",
              "2            Madhouse  \n",
              "3             Sunrise  \n",
              "4      Toei Animation  \n",
              "...               ...  \n",
              "14916         Irawias  \n",
              "14917         Unknown  \n",
              "14918     CloverWorks  \n",
              "14924         Unknown  \n",
              "14943           Bones  \n",
              "\n",
              "[13229 rows x 5 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6c621f93-c9a8-4272-8cae-bc203b736b43\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Name</th>\n",
              "      <th>Score</th>\n",
              "      <th>Genres</th>\n",
              "      <th>Type</th>\n",
              "      <th>Studios</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Cowboy Bebop</td>\n",
              "      <td>8.78</td>\n",
              "      <td>Action, Adventure, Comedy, Drama, Sci-Fi, Space</td>\n",
              "      <td>TV</td>\n",
              "      <td>Sunrise</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Cowboy Bebop Tengoku no Tobira</td>\n",
              "      <td>8.39</td>\n",
              "      <td>Action, Drama, Mystery, Sci-Fi, Space</td>\n",
              "      <td>Movie</td>\n",
              "      <td>Bones</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Trigun</td>\n",
              "      <td>8.24</td>\n",
              "      <td>Action, Sci-Fi, Adventure, Comedy, Drama, Shounen</td>\n",
              "      <td>TV</td>\n",
              "      <td>Madhouse</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Witch Hunter Robin</td>\n",
              "      <td>7.27</td>\n",
              "      <td>Action, Mystery, Police, Supernatural, Drama, ...</td>\n",
              "      <td>TV</td>\n",
              "      <td>Sunrise</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Bouken Ou Beet</td>\n",
              "      <td>6.98</td>\n",
              "      <td>Adventure, Fantasy, Shounen, Supernatural</td>\n",
              "      <td>TV</td>\n",
              "      <td>Toei Animation</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14916</th>\n",
              "      <td>Kuro Gal ni Natta kara Shinyuu to shitemita</td>\n",
              "      <td>6.51</td>\n",
              "      <td>Romance, Shounen Ai</td>\n",
              "      <td>TV</td>\n",
              "      <td>Irawias</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14917</th>\n",
              "      <td>Nu Wushen de Canzhuo Spring Festival Special</td>\n",
              "      <td>6.83</td>\n",
              "      <td>Slice of Life, Comedy</td>\n",
              "      <td>Special</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14918</th>\n",
              "      <td>Yakusoku no Neverland 2nd Season Michishirube</td>\n",
              "      <td>4.81</td>\n",
              "      <td>Mystery, Psychological, Supernatural, Thriller...</td>\n",
              "      <td>Special</td>\n",
              "      <td>CloverWorks</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14924</th>\n",
              "      <td>Ai Zai Xi Yuan Qian 2nd Season</td>\n",
              "      <td>6.51</td>\n",
              "      <td>Fantasy, Romance</td>\n",
              "      <td>ONA</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14943</th>\n",
              "      <td>SK Crazy Rock Jam</td>\n",
              "      <td>6.52</td>\n",
              "      <td>Comedy, Sports</td>\n",
              "      <td>Special</td>\n",
              "      <td>Bones</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>13229 rows × 5 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
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              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 13229,\n  \"fields\": [\n    {\n      \"column\": \"Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 13183,\n        \"samples\": [\n          \"Gekiganger 3 The Movie\",\n          \"AChannel\",\n          \"Super Lovers\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8228490629242469,\n        \"min\": 1.85,\n        \"max\": 9.19,\n        \"num_unique_values\": 531,\n        \"samples\": [\n          3.58,\n          8.06,\n          3.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4574,\n        \"samples\": [\n          \"Action, Comedy, Magic, Sci-Fi, Super Power\",\n          \"Fantasy, Josei, Sci-Fi\",\n          \"Slice of Life, Comedy, Supernatural, Drama, Romance, School\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"TV\",\n          \"Movie\",\n          \"Music\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Studios\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 977,\n        \"samples\": [\n          \"Sunrise, Production Reed\",\n          \"Tatsunoko Production, Ordet\",\n          \"Kaname Productions, Idol\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Model Content Based Filtering (dengan Filter Genres)"
      ],
      "metadata": {
        "id": "q8yoF_Yismtp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "tfid = TfidfVectorizer()\n",
        "tfid.fit(data['Genres'])\n",
        "\n",
        "tfid.get_feature_names_out()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yETxNI9rJS35",
        "outputId": "52dd9824-8cad-4d00-dabb-0293c1fd365c"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['action', 'adventure', 'ai', 'arts', 'cars', 'comedy', 'dementia',\n",
              "       'demons', 'drama', 'ecchi', 'fantasy', 'fi', 'game', 'harem',\n",
              "       'historical', 'horror', 'josei', 'kids', 'life', 'magic',\n",
              "       'martial', 'mecha', 'military', 'music', 'mystery', 'of', 'parody',\n",
              "       'police', 'power', 'psychological', 'romance', 'samurai', 'school',\n",
              "       'sci', 'seinen', 'shoujo', 'shounen', 'slice', 'space', 'sports',\n",
              "       'super', 'supernatural', 'thriller', 'unknown', 'vampire'],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tfidf_matrix = tfid.fit_transform(data['Genres'])\n",
        "\n",
        "\n",
        "tfidf_matrix.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Z_fUwf2KKg7p",
        "outputId": "f78a3f5e-c871-46ec-bb8f-7b57ff2e9c7f"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(13229, 45)"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tfidf_matrix.todense()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gpRCSe5pLR6d",
        "outputId": "aaf54f77-2ffd-4ba8-e980-afcffec7b805"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "matrix([[0.30417283, 0.34382085, 0.        , ..., 0.        , 0.        ,\n",
              "         0.        ],\n",
              "        [0.29098327, 0.        , 0.        , ..., 0.        , 0.        ,\n",
              "         0.        ],\n",
              "        [0.33789893, 0.38194304, 0.        , ..., 0.        , 0.        ,\n",
              "         0.        ],\n",
              "        ...,\n",
              "        [0.        , 0.        , 0.        , ..., 0.60096513, 0.        ,\n",
              "         0.        ],\n",
              "        [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
              "         0.        ],\n",
              "        [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
              "         0.        ]])"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.DataFrame(\n",
        "    tfidf_matrix.todense(),\n",
        "    columns=tfid.get_feature_names_out(),\n",
        "    index=data.Genres\n",
        ").sample(22, axis=1).sample(10, axis=0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 912
        },
        "id": "iSmcQ-WOLUgH",
        "outputId": "e99035a2-9fc1-4ac7-d28e-563902d19c68"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                       drama  seinen  super  \\\n",
              "Genres                                                                        \n",
              "Action, Drama, Fantasy, Mecha, Sci-Fi               0.406304     0.0    0.0   \n",
              "Harem, Comedy, Romance, School, Shounen             0.000000     0.0    0.0   \n",
              "Action, Comedy, Magic, Fantasy                      0.000000     0.0    0.0   \n",
              "Action, Historical, Martial Arts, Samurai, Shounen  0.000000     0.0    0.0   \n",
              "Slice of Life, Comedy, Josei                        0.000000     0.0    0.0   \n",
              "Slice of Life, Comedy, Shoujo                       0.000000     0.0    0.0   \n",
              "Slice of Life, Comedy, Supernatural, Drama, Rom...  0.333039     0.0    0.0   \n",
              "Supernatural                                        0.000000     0.0    0.0   \n",
              "Comedy, Sports, Drama, Shounen                      0.465423     0.0    0.0   \n",
              "Adventure, Fantasy                                  0.000000     0.0    0.0   \n",
              "\n",
              "                                                        arts    action  \\\n",
              "Genres                                                                   \n",
              "Action, Drama, Fantasy, Mecha, Sci-Fi               0.000000  0.336492   \n",
              "Harem, Comedy, Romance, School, Shounen             0.000000  0.000000   \n",
              "Action, Comedy, Magic, Fantasy                      0.000000  0.433273   \n",
              "Action, Historical, Martial Arts, Samurai, Shounen  0.463633  0.234990   \n",
              "Slice of Life, Comedy, Josei                        0.000000  0.000000   \n",
              "Slice of Life, Comedy, Shoujo                       0.000000  0.000000   \n",
              "Slice of Life, Comedy, Supernatural, Drama, Rom...  0.000000  0.000000   \n",
              "Supernatural                                        0.000000  0.000000   \n",
              "Comedy, Sports, Drama, Shounen                      0.000000  0.000000   \n",
              "Adventure, Fantasy                                  0.000000  0.000000   \n",
              "\n",
              "                                                     martial  kids  vampire  \\\n",
              "Genres                                                                        \n",
              "Action, Drama, Fantasy, Mecha, Sci-Fi               0.000000   0.0      0.0   \n",
              "Harem, Comedy, Romance, School, Shounen             0.000000   0.0      0.0   \n",
              "Action, Comedy, Magic, Fantasy                      0.000000   0.0      0.0   \n",
              "Action, Historical, Martial Arts, Samurai, Shounen  0.463633   0.0      0.0   \n",
              "Slice of Life, Comedy, Josei                        0.000000   0.0      0.0   \n",
              "Slice of Life, Comedy, Shoujo                       0.000000   0.0      0.0   \n",
              "Slice of Life, Comedy, Supernatural, Drama, Rom...  0.000000   0.0      0.0   \n",
              "Supernatural                                        0.000000   0.0      0.0   \n",
              "Comedy, Sports, Drama, Shounen                      0.000000   0.0      0.0   \n",
              "Adventure, Fantasy                                  0.000000   0.0      0.0   \n",
              "\n",
              "                                                    thriller  parody  ...  \\\n",
              "Genres                                                                ...   \n",
              "Action, Drama, Fantasy, Mecha, Sci-Fi                    0.0     0.0  ...   \n",
              "Harem, Comedy, Romance, School, Shounen                  0.0     0.0  ...   \n",
              "Action, Comedy, Magic, Fantasy                           0.0     0.0  ...   \n",
              "Action, Historical, Martial Arts, Samurai, Shounen       0.0     0.0  ...   \n",
              "Slice of Life, Comedy, Josei                             0.0     0.0  ...   \n",
              "Slice of Life, Comedy, Shoujo                            0.0     0.0  ...   \n",
              "Slice of Life, Comedy, Supernatural, Drama, Rom...       0.0     0.0  ...   \n",
              "Supernatural                                             0.0     0.0  ...   \n",
              "Comedy, Sports, Drama, Shounen                           0.0     0.0  ...   \n",
              "Adventure, Fantasy                                       0.0     0.0  ...   \n",
              "\n",
              "                                                    historical  space  \\\n",
              "Genres                                                                  \n",
              "Action, Drama, Fantasy, Mecha, Sci-Fi                 0.000000    0.0   \n",
              "Harem, Comedy, Romance, School, Shounen               0.000000    0.0   \n",
              "Action, Comedy, Magic, Fantasy                        0.000000    0.0   \n",
              "Action, Historical, Martial Arts, Samurai, Shounen    0.373552    0.0   \n",
              "Slice of Life, Comedy, Josei                          0.000000    0.0   \n",
              "Slice of Life, Comedy, Shoujo                         0.000000    0.0   \n",
              "Slice of Life, Comedy, Supernatural, Drama, Rom...    0.000000    0.0   \n",
              "Supernatural                                          0.000000    0.0   \n",
              "Comedy, Sports, Drama, Shounen                        0.000000    0.0   \n",
              "Adventure, Fantasy                                    0.000000    0.0   \n",
              "\n",
              "                                                    adventure  power  music  \\\n",
              "Genres                                                                        \n",
              "Action, Drama, Fantasy, Mecha, Sci-Fi                0.000000    0.0    0.0   \n",
              "Harem, Comedy, Romance, School, Shounen              0.000000    0.0    0.0   \n",
              "Action, Comedy, Magic, Fantasy                       0.000000    0.0    0.0   \n",
              "Action, Historical, Martial Arts, Samurai, Shounen   0.000000    0.0    0.0   \n",
              "Slice of Life, Comedy, Josei                         0.000000    0.0    0.0   \n",
              "Slice of Life, Comedy, Shoujo                        0.000000    0.0    0.0   \n",
              "Slice of Life, Comedy, Supernatural, Drama, Rom...   0.000000    0.0    0.0   \n",
              "Supernatural                                         0.000000    0.0    0.0   \n",
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              "\n",
              "                                                          fi  ecchi       sci  \\\n",
              "Genres                                                                          \n",
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              "    60% {\n",
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              "    }\n",
              "    80% {\n",
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              "    }\n",
              "    90% {\n",
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              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-53e22649-06f5-4a6f-8bdd-034f5fb44657 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe"
            }
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Output `matriks tf-idf` di atas menunjukkan hubungan antara nama anime terhadap kategori yang dipilih. Matriks ini menunjukkan seberapa besar korelasi antara Anime terhadap kategori yang dipilih."
      ],
      "metadata": {
        "id": "yvdQCyJi447q"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "cosine_sim = cosine_similarity(tfidf_matrix)\n",
        "cosine_sim"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OG4OD41_LZg4",
        "outputId": "1bfbed07-c8f6-4754-e2ef-a5e30e014c04"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1.        , 0.78399904, 0.73975208, ..., 0.        , 0.        ,\n",
              "        0.10622903],\n",
              "       [0.78399904, 1.        , 0.51589414, ..., 0.20976923, 0.        ,\n",
              "        0.        ],\n",
              "       [0.73975208, 0.51589414, 1.        , ..., 0.12878306, 0.        ,\n",
              "        0.1180075 ],\n",
              "       ...,\n",
              "       [0.        , 0.20976923, 0.12878306, ..., 1.        , 0.        ,\n",
              "        0.        ],\n",
              "       [0.        , 0.        , 0.        , ..., 0.        , 1.        ,\n",
              "        0.        ],\n",
              "       [0.10622903, 0.        , 0.1180075 , ..., 0.        , 0.        ,\n",
              "        1.        ]])"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cosine_sim_df = pd.DataFrame(cosine_sim, index=data['Name'], columns=data['Name'])\n",
        "print('Shape:', cosine_sim_df.shape)\n",
        "\n",
        "# Melihat similarity matrix pada setiap resto\n",
        "cosine_sim_df.sample(5, axis=1).sample(5, axis=0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 291
        },
        "id": "PC44PWqeMeBb",
        "outputId": "dff4b834-f7c8-4e2d-f2dd-426734e5f7a2"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape: (13229, 13229)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Name                                                Mahou no Makochan  \\\n",
              "Name                                                                    \n",
              "Majuu Sensen                                                 0.286789   \n",
              "Nanmu Ichibyousokusai                                        0.000000   \n",
              "Galaxy Angel Rune                                            0.000000   \n",
              "Guomin Laogong Dai Huijia 3rd Season                         0.336291   \n",
              "Crayon Shinchan Movie 21 Bakauma BKyuu Gourmet ...           0.000000   \n",
              "\n",
              "Name                                                Crystal Clear  \\\n",
              "Name                                                                \n",
              "Majuu Sensen                                             0.000000   \n",
              "Nanmu Ichibyousokusai                                    0.402874   \n",
              "Galaxy Angel Rune                                        0.000000   \n",
              "Guomin Laogong Dai Huijia 3rd Season                     0.000000   \n",
              "Crayon Shinchan Movie 21 Bakauma BKyuu Gourmet ...       0.000000   \n",
              "\n",
              "Name                                                Hitotsubu ni Kawaranu Ai wo Komete  \\\n",
              "Name                                                                                     \n",
              "Majuu Sensen                                                                       0.0   \n",
              "Nanmu Ichibyousokusai                                                              0.0   \n",
              "Galaxy Angel Rune                                                                  0.0   \n",
              "Guomin Laogong Dai Huijia 3rd Season                                               0.0   \n",
              "Crayon Shinchan Movie 21 Bakauma BKyuu Gourmet ...                                 0.0   \n",
              "\n",
              "Name                                                Koukaku Kidoutai Stand Alone Complex  Solid State Society  Uchikoma na Hibi  \\\n",
              "Name                                                                                                                              \n",
              "Majuu Sensen                                                                                 0.000000                             \n",
              "Nanmu Ichibyousokusai                                                                        0.000000                             \n",
              "Galaxy Angel Rune                                                                            0.771030                             \n",
              "Guomin Laogong Dai Huijia 3rd Season                                                         0.000000                             \n",
              "Crayon Shinchan Movie 21 Bakauma BKyuu Gourmet ...                                           0.129055                             \n",
              "\n",
              "Name                                                Sayonara Gokko  \n",
              "Name                                                                \n",
              "Majuu Sensen                                              0.000000  \n",
              "Nanmu Ichibyousokusai                                     0.385457  \n",
              "Galaxy Angel Rune                                         0.000000  \n",
              "Guomin Laogong Dai Huijia 3rd Season                      0.000000  \n",
              "Crayon Shinchan Movie 21 Bakauma BKyuu Gourmet ...        0.000000  "
            ],
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              "\n",
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              "        document.querySelector('#df-3e06a406-0ba0-4ac4-95c6-d9b40694fbe4 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-3e06a406-0ba0-4ac4-95c6-d9b40694fbe4');\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",
              "        element.innerHTML = '';\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
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              "    border-radius: 50%;\n",
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              "  }\n",
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              "  .colab-df-quickchart:hover {\n",
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              "    fill: var(--button-hover-fill-color);\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    animation:\n",
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              "  }\n",
              "\n",
              "  @keyframes spin {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "      quickchartButtonEl.style.display =\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"cosine_sim_df\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Nanmu Ichibyousokusai\",\n          \"Crayon Shinchan Movie 21 Bakauma BKyuu Gourmet Survival Battle\",\n          \"Galaxy Angel Rune\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mahou no Makochan\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1715325077392062,\n        \"min\": 0.0,\n        \"max\": 0.3362907808148,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.28678859214888414,\n          0.0,\n          0.3362907808148\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Crystal Clear\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.18017076928454784,\n        \"min\": 0.0,\n        \"max\": 0.40287408767868016,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0.40287408767868016,\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Hitotsubu ni Kawaranu Ai wo Komete\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 0.0,\n        \"max\": 0.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Koukaku Kidoutai Stand Alone Complex  Solid State Society  Uchikoma na Hibi\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3350791932432137,\n        \"min\": 0.0,\n        \"max\": 0.7710303819938658,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Sayonara Gokko\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.17238175630017016,\n        \"min\": 0.0,\n        \"max\": 0.38545732516798314,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0.38545732516798314\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def anime_recommendations(anime_name, similarity_data=cosine_sim_df, items=data[['Name','Genres']], k=5):\n",
        "\n",
        "\n",
        "    index = similarity_data.loc[:,anime_name].to_numpy().argpartition(\n",
        "        range(-1, -k, -1))\n",
        "\n",
        "\n",
        "    closest = similarity_data.columns[index[-1:-(k+2):-1]]\n",
        "    closest = closest.drop(anime_name, errors='ignore')\n",
        "\n",
        "    return pd.DataFrame(closest).merge(items).head(k)"
      ],
      "metadata": {
        "id": "l_umn-fKMlL7"
      },
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data[data.Name.eq('One Piece')]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        },
        "id": "1cKNP6b9Mxwi",
        "outputId": "7f368340-d0b6-4b72-9532-52a4b6c4b9f6"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Name  Score                                             Genres Type  \\\n",
              "11  One Piece   8.52  Action, Adventure, Comedy, Super Power, Drama,...   TV   \n",
              "\n",
              "           Studios  \n",
              "11  Toei Animation  "
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          "metadata": {},
          "execution_count": 40
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    },
    {
      "cell_type": "code",
      "source": [
        "anime_recommendations('One Piece')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "x9Y9fd_9MyBp",
        "outputId": "8b1f6b6c-9892-490e-a048-05e6c804952b"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                Name  \\\n",
              "0                      One Piece Episode of Sorajima   \n",
              "1  One Piece Episode of Merry  Mou Hitori no Naka...   \n",
              "2                        One Piece Movie 14 Stampede   \n",
              "3  One Piece Episode of East Blue  Luffy to 4nin ...   \n",
              "4  One Piece Episode of Sabo  3 Kyoudai no Kizuna...   \n",
              "\n",
              "                                              Genres  \n",
              "0  Action, Adventure, Comedy, Super Power, Drama,...  \n",
              "1  Action, Adventure, Comedy, Drama, Fantasy, Sho...  \n",
              "2  Action, Adventure, Comedy, Drama, Fantasy, Sho...  \n",
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              "    <tr>\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "\n",
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              "    0% {\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-79cc806f-8ae6-460d-82da-4abfdb41f0b6 button');\n",
              "      quickchartButtonEl.style.display =\n",
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              "</div>\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"anime_recommendations('One Piece')\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"One Piece Episode of Merry  Mou Hitori no Nakama no Monogatari\",\n          \"One Piece Episode of Sabo  3 Kyoudai no Kizuna Kiseki no Saikai to Uketsugareru Ishi\",\n          \"One Piece Movie 14 Stampede\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Action, Adventure, Comedy, Drama, Fantasy, Shounen, Super Power\",\n          \"Action, Adventure, Comedy, Super Power, Drama, Fantasy, Shounen\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Sistem telah berhasil merekomendasikan top 5 persen anime yang mirip dengan *One Piece*, yaitu beberapa film dan seri dari *One Piece* itu sendiri. Jadi, jika pengguna menyukai *One Piece*, maka sistem dapat merekomendasikan seri atau movie *One Piece* lainnya."
      ],
      "metadata": {
        "id": "_rJbOtc15dH6"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Model K-Nearest Neighbor"
      ],
      "metadata": {
        "id": "UfsUaLIrtA8m"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "animedf_name = pd.DataFrame({'Name':data['Name']})\n",
        "animedf_name.head()"
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      "metadata": {
        "colab": {
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        "id": "8XYOpDL2j9_a",
        "outputId": "2e8c3c92-9772-4213-f8ab-937e3f2ca47e"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "                             Name\n",
              "0                    Cowboy Bebop\n",
              "1  Cowboy Bebop Tengoku no Tobira\n",
              "2                          Trigun\n",
              "3              Witch Hunter Robin\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "animedf_name",
              "summary": "{\n  \"name\": \"animedf_name\",\n  \"rows\": 13229,\n  \"fields\": [\n    {\n      \"column\": \"Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 13183,\n        \"samples\": [\n          \"Gekiganger 3 The Movie\",\n          \"AChannel\",\n          \"Super Lovers\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.set_index('Name',inplace=True)"
      ],
      "metadata": {
        "id": "eF1rvREcTNH0"
      },
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_n = data[['Score','Type','Studios']]"
      ],
      "metadata": {
        "id": "zUf0bc2NYTIl"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_new = pd.get_dummies(data_n[['Type','Studios']])\n",
        "data_new = pd.concat([data_n, data_new], axis=1)\n",
        "data_new = data_new.drop(columns='Type')\n",
        "data_new = data_new.drop(columns='Studios')\n",
        "data_new.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 460
        },
        "id": "fXpuZCROUJ4J",
        "outputId": "6bef6768-e3e6-4769-9173-1bd2e65b39ef"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                Score  Type_Movie  Type_Music  Type_ONA  \\\n",
              "Name                                                                      \n",
              "Cowboy Bebop                     8.78           0           0         0   \n",
              "Cowboy Bebop Tengoku no Tobira   8.39           1           0         0   \n",
              "Trigun                           8.24           0           0         0   \n",
              "Witch Hunter Robin               7.27           0           0         0   \n",
              "Bouken Ou Beet                   6.98           0           0         0   \n",
              "\n",
              "                                Type_OVA  Type_Special  Type_TV  \\\n",
              "Name                                                              \n",
              "Cowboy Bebop                           0             0        1   \n",
              "Cowboy Bebop Tengoku no Tobira         0             0        0   \n",
              "Trigun                                 0             0        1   \n",
              "Witch Hunter Robin                     0             0        1   \n",
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              "\n",
              "                                Studios_10Gauge  \\\n",
              "Name                                              \n",
              "Cowboy Bebop                                  0   \n",
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              "Cowboy Bebop                                                 0   \n",
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              "                                Studios_2:10 AM Animation  ...  \\\n",
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              "Trigun                                                                  0   \n",
              "Witch Hunter Robin                                                      0   \n",
              "Bouken Ou Beet                                                          0   \n",
              "\n",
              "                                Studios_helo.inc  \\\n",
              "Name                                               \n",
              "Cowboy Bebop                                   0   \n",
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              "Trigun                                         0   \n",
              "Witch Hunter Robin                             0   \n",
              "Bouken Ou Beet                                 0   \n",
              "\n",
              "                                Studios_iDRAGONS Creative Studio  \\\n",
              "Name                                                               \n",
              "Cowboy Bebop                                                   0   \n",
              "Cowboy Bebop Tengoku no Tobira                                 0   \n",
              "Trigun                                                         0   \n",
              "Witch Hunter Robin                                             0   \n",
              "Bouken Ou Beet                                                 0   \n",
              "\n",
              "                                Studios_ixtl, LIDENFILMS  Studios_monofilmo  \\\n",
              "Name                                                                          \n",
              "Cowboy Bebop                                           0                  0   \n",
              "Cowboy Bebop Tengoku no Tobira                         0                  0   \n",
              "Trigun                                                 0                  0   \n",
              "Witch Hunter Robin                                     0                  0   \n",
              "Bouken Ou Beet                                         0                  0   \n",
              "\n",
              "                                Studios_pH Studio  Studios_production doA  \\\n",
              "Name                                                                        \n",
              "Cowboy Bebop                                    0                       0   \n",
              "Cowboy Bebop Tengoku no Tobira                  0                       0   \n",
              "Trigun                                          0                       0   \n",
              "Witch Hunter Robin                              0                       0   \n",
              "Bouken Ou Beet                                  0                       0   \n",
              "\n",
              "                                Studios_ufotable  \\\n",
              "Name                                               \n",
              "Cowboy Bebop                                   0   \n",
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              "Trigun                                         0   \n",
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              "Cowboy Bebop                                                       0  \n",
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              "Trigun                                                             0  \n",
              "Witch Hunter Robin                                                 0  \n",
              "Bouken Ou Beet                                                     0  \n",
              "\n",
              "[5 rows x 984 columns]"
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Trigun</th>\n",
              "      <td>8.24</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Witch Hunter Robin</th>\n",
              "      <td>7.27</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bouken Ou Beet</th>\n",
              "      <td>6.98</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 984 columns</p>\n",
              "</div>\n",
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              "\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "    .colab-df-buttons div {\n",
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              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-74ce9d15-4ac7-4b16-a276-e9dbda550fa7 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-74ce9d15-4ac7-4b16-a276-e9dbda550fa7');\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",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    }\n",
              "    60% {\n",
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              "    }\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data_new"
            }
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model = NearestNeighbors(metric='euclidean')\n",
        "model.fit(data_new)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "zrbqTwOYUh-q",
        "outputId": "0f454bd6-e259-410c-befc-f868f69f9cca"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "NearestNeighbors(metric='euclidean')"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>NearestNeighbors(metric=&#x27;euclidean&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">NearestNeighbors</label><div class=\"sk-toggleable__content\"><pre>NearestNeighbors(metric=&#x27;euclidean&#x27;)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def Recommended_model(anime_name:str, recommend_anime:int=5):\n",
        "  print(f'Apabila pengguna menyukai aplikasi:{anime_name[0]} \\nBerikut ini adalah aplikasi yang juga mungkin akan disukai :')\n",
        "  distances, neighbors = model.kneighbors(data_new.loc[anime_name],n_neighbors=recommend_anime)\n",
        "  similar_anime = []\n",
        "  for anime_name in animedf_name.loc[neighbors[0][:]].values:\n",
        "    similar_anime.append(anime_name[0])\n",
        "  similar_distance = []\n",
        "  for distance in distances[0]:\n",
        "    similar_distance.append(f\"{round(100-distance, 2)}%\")\n",
        "  return pd.DataFrame(data = {\"Anime Name\" : similar_anime, \"Similiarity Score\" : similar_distance})\n"
      ],
      "metadata": {
        "id": "VyzYbznh6pHq"
      },
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Recommended_model(animedf_name.loc[21])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 243
        },
        "id": "2Y6p3IFY6yuJ",
        "outputId": "121b57e9-e82d-4079-fdd1-3f21399110f7"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Apabila pengguna menyukai aplikasi:Neon Genesis Evangelion Death  Rebirth \n",
            "Berikut ini adalah aplikasi yang juga mungkin akan disukai :\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                      Anime Name Similiarity Score\n",
              "0         Neon Genesis Evangelion Death  Rebirth            100.0%\n",
              "1  Neon Genesis Evangelion The End of Evangelion            98.94%\n",
              "2                                   Kekkaishi TV            98.59%\n",
              "3                   Doraemon Doraemon Comes Back            98.59%\n",
              "4                             Dr Slump Aralechan            98.59%"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-13129c0b-b097-4c8d-b9f7-2c4300d0520d\" class=\"colab-df-container\">\n",
              "    <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>Anime Name</th>\n",
              "      <th>Similiarity Score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Neon Genesis Evangelion Death  Rebirth</td>\n",
              "      <td>100.0%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Neon Genesis Evangelion The End of Evangelion</td>\n",
              "      <td>98.94%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Kekkaishi TV</td>\n",
              "      <td>98.59%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Doraemon Doraemon Comes Back</td>\n",
              "      <td>98.59%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Dr Slump Aralechan</td>\n",
              "      <td>98.59%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-13129c0b-b097-4c8d-b9f7-2c4300d0520d')\"\n",
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              "  <style>\n",
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              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-13129c0b-b097-4c8d-b9f7-2c4300d0520d button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-13129c0b-b097-4c8d-b9f7-2c4300d0520d');\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",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c359ed18-20f9-4467-8f83-ab22fca440bb')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "     width=\"24px\">\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c359ed18-20f9-4467-8f83-ab22fca440bb button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"Recommended_model(animedf_name\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Anime Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Neon Genesis Evangelion The End of Evangelion\",\n          \"Dr Slump Aralechan\",\n          \"Kekkaishi TV\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Similiarity Score\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"100.0%\",\n          \"98.94%\",\n          \"98.59%\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Evaluation"
      ],
      "metadata": {
        "id": "-dCeS37uthoM"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Calinski-Harabasz score"
      ],
      "metadata": {
        "id": "xWwiZunos6df"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "_**Calinski-Harabasz score**_ adalah metrik evaluasi untuk algoritme pengelompokan yang mengukur seberapa baik pengelompokan memisahkan data ke dalam kelompok-kelompok yang kompak dan terpisah. Didefinisikan sebagai rasio antara sebaran dalam cluster dan sebaran antar cluster, semakin tinggi nilai CH, semakin baik kinerja pengelompokan tersebut, tanpa memerlukan informasi tentang label kebenaran dasar.\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "cAQhYCnCsoXf"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Rumus  Calinski-Harabasz Score (CH) adalah:\n",
        "\n",
        "$$CH = \\frac{B}{W} \\times \\frac{N - k}{k - 1}$$\n",
        "\n",
        "Di mana:\n",
        "- \\( B \\) adalah sebaran antar cluster (between-cluster scatter).\n",
        "- \\( W \\) adalah sebaran dalam cluster (within-cluster scatter).\n",
        "- \\( N \\) adalah jumlah total data.\n",
        "- \\( k \\) adalah jumlah cluster."
      ],
      "metadata": {
        "id": "-_e4ERsNtrXq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ch_score = calinski_harabasz_score(data_new, animedf_name)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1rjihwXvcx6J",
        "outputId": "bc587bc1-12d0-4c90-af0f-3075ef5cc401"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/utils/validation.py:1143: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
            "  y = column_or_1d(y, warn=True)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ch_score"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lMYXtP_7tAKn",
        "outputId": "25ebb837-5ebe-4f4f-c1b5-2fe54b0dc5f7"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.1613291729405617"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Hasil evaluasi menunjukkan bahwa kluster dalam model ini masih belum terpisahkan dengan baik, yang tercermin dari nilai skor Calinski-Harabasz (CH) yang relatif rendah sebesar `3.1613291729405617`. Kondisi ini mengindikasikan adanya potensi untuk rekomendasi yang kurang sesuai pada beberapa aplikasi, yang mungkin tidak sepenuhnya sesuai dengan preferensi pengguna. Oleh karena itu, perlu dilakukan peninjauan lebih lanjut atau penyesuaian pada model untuk meningkatkan pemisahan kluster dan akurasi rekomendasi."
      ],
      "metadata": {
        "id": "ZsarvuzK9lxk"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Davies Bouldin Score"
      ],
      "metadata": {
        "id": "szG__o2izkmX"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        " _**Davies Bouldin Score (DB)**_ adalah metrik evaluasi kinerja pengelompokan yang mengukur rata-rata kesamaan setiap cluster dengan cluster yang paling mirip dengan membandingkan jarak dalam cluster terhadap jarak antar cluster. Dengan skor minimum nol, semakin rendah nilai DB, semakin baik kinerja pengelompokannya, menunjukkan cluster yang lebih dekat satu sama lain dan kurang tersebar. Berbeda dari sebagian besar metrik, DB tidak memerlukan pengetahuan apriori tentang label kebenaran dasar, mirip dengan Silhouette Score, namun memiliki formulasi yang lebih sederhana, memberikan cara efisien untuk mengevaluasi pengelompokan tanpa memerlukan pengetahuan tambahan tentang struktur data."
      ],
      "metadata": {
        "id": "dAwyyfsgwaFp"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Rumus Davies-Bouldin Score (DB) adalah:\n",
        "\n",
        "\n",
        "$$ DB = \\frac{1}{k} \\sum_{i=1}^{k} \\max_{j \\neq i} \\left( \\frac{R_i + R_j}{d(c_i, c_j)} \\right) $$\n",
        "\n",
        "\n",
        "Di mana:\n",
        "- \\( k \\) adalah jumlah cluster.\n",
        "- \\( R_i \\) adalah radius dalam cluster ke-i.\n",
        "- \\( d(c_i, c_j) \\) adalah jarak antara pusat cluster ke-i (\\( c_i \\)) dan pusat cluster ke-j (\\( c_j \\)).\n"
      ],
      "metadata": {
        "id": "h3aCHakOxdnw"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Davies-Bouldin didefinisikan sebagai rata-rata dari nilai-nilai R, di mana setiap nilai R adalah rasio antara jumlah dari radius dalam cluster (dalam pengertian jarak, misalnya Euclidean distance) dan jarak antara pusat cluster, dengan pusat-pusat yang lain. Rasio ini digunakan untuk mengevaluasi kemiripan setiap cluster dengan cluster lain."
      ],
      "metadata": {
        "id": "RUNfTExuyBLB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "db_score = davies_bouldin_score(data_new, animedf_name)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hTufzVujnngO",
        "outputId": "1f97e41a-4994-49c9-866e-e33c159d7be5"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/utils/validation.py:1143: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
            "  y = column_or_1d(y, warn=True)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "db_score"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D1CHxMJvnzSA",
        "outputId": "dff6ba2e-4556-43cc-fdfa-248e01c99d52"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.7864266764751376"
            ]
          },
          "metadata": {},
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Hasil evaluasi Davies-Bouldin (DB) menunjukkan bahwa model ini memiliki skor yang relatif cukup kecil, dengan nilai DB sebesar `0.7864266764751376` Hal ini menandakan bahwa model sudah memiliki separasi kluster yang cukup baik. Sebagai hasilnya, rekomendasi anime memiliki kualitas yang baik, mempertimbangkan bahwa pengelompokan kluster dalam model sudah cukup efektif dalam memisahkan data. Hal ini terbukti dengan hasil rekomendasi aplikasi yang sudah cukup baik."
      ],
      "metadata": {
        "id": "vlHXJ7qszFfg"
      }
    }
  ]
}