{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5SP_3EMSH7Je"
   },
   "source": [
    "# クラスタリング（K-means）による観光スポットの分類\n",
    "\n",
    "このノートブックでは、30箇所の観光スポットのアンケート評価データに対してK-meansクラスタリングを行い、スポットのタイプを自動的に分類します。\n",
    "\n",
    "## データについて\n",
    "- 30箇所の架空の観光スポットデータ\n",
    "- 7つの評価項目：自然度、文化度、アクティビティ度、利便性、家族向け度、ショッピング度、グルメ度（各1-5点）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sOQ_sxbdH7Jh"
   },
   "source": [
    "## 1. 必要なライブラリのインポート"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "X8Fy6zLlH7Ji",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1769313454292,
     "user_tz": -540,
     "elapsed": 22154,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "68e308f9-cee6-4c74-a5d6-bc527e45a919"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Collecting japanize-matplotlib\n",
      "  Downloading japanize-matplotlib-1.1.3.tar.gz (4.1 MB)\n",
      "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/4.1 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.4/4.1 MB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/4.1 MB\u001b[0m \u001b[31m31.0 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m4.1/4.1 MB\u001b[0m \u001b[31m39.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.1/4.1 MB\u001b[0m \u001b[31m27.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "Requirement already satisfied: matplotlib in /usr/local/lib/python3.12/dist-packages (from japanize-matplotlib) (3.10.0)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib->japanize-matplotlib) (1.3.3)\n",
      "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib->japanize-matplotlib) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib->japanize-matplotlib) (4.61.1)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib->japanize-matplotlib) (1.4.9)\n",
      "Requirement already satisfied: numpy>=1.23 in /usr/local/lib/python3.12/dist-packages (from matplotlib->japanize-matplotlib) (2.0.2)\n",
      "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib->japanize-matplotlib) (25.0)\n",
      "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib->japanize-matplotlib) (11.3.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib->japanize-matplotlib) (3.3.1)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.12/dist-packages (from matplotlib->japanize-matplotlib) (2.9.0.post0)\n",
      "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.7->matplotlib->japanize-matplotlib) (1.17.0)\n",
      "Building wheels for collected packages: japanize-matplotlib\n",
      "  Building wheel for japanize-matplotlib (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "  Created wheel for japanize-matplotlib: filename=japanize_matplotlib-1.1.3-py3-none-any.whl size=4120257 sha256=3e03d28f435fe558febd352b989bfbd60bda594e161e046810e374776bddde50\n",
      "  Stored in directory: /root/.cache/pip/wheels/c1/f7/9b/418f19a7b9340fc16e071e89efc379aca68d40238b258df53d\n",
      "Successfully built japanize-matplotlib\n",
      "Installing collected packages: japanize-matplotlib\n",
      "Successfully installed japanize-matplotlib-1.1.3\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.cluster import KMeans # K-meansクラスタリング用のクラス\n",
    "from sklearn.preprocessing import StandardScaler # データの標準化用のクラス\n",
    "\n",
    "# 日本語フォントの設定（Google Colabの場合）\n",
    "!pip install japanize-matplotlib\n",
    "import japanize_matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cL04qd17H7Jj"
   },
   "source": [
    "## 2. データの読み込み\n",
    "\n",
    "Google ドライブの「ホーム」をマウントし、「clustering_spots」フォルダにある「spots_data.csv」を読み込みます。\n",
    "\n",
    "Google ドライブをマウントするには、左ツールバー内の📁アイコンをクリックして、「ドライブをマウント」するか、このセルのすぐ下のセルを実行してください。\n",
    "\n",
    "マウントする際、アクセスを許可してください。"
   ]
  },
  {
   "cell_type": "code",
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/drive')"
   ],
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "9MrPIwZPIuUG",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1769313480477,
     "user_tz": -540,
     "elapsed": 21370,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "34f4055b-866c-445e-a067-9faedcbf7486"
   },
   "execution_count": null,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Mounted at /content/drive\n"
     ]
    }
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "6rKiHJZlH7Jj",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1769313484755,
     "user_tz": -540,
     "elapsed": 1889,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "f07ed1b7-ee1a-4c1a-e281-98f4932aafa4"
   },
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "     スポット名  自然度  文化度  アクティビティ度  利便性  家族向け度  ショッピング度  グルメ度\n",
       "0    東京タワー  1.2  3.1       2.3  4.8    4.2      4.9   4.7\n",
       "1   スカイツリー  1.1  2.9       2.1  4.9    4.3      4.8   4.8\n",
       "2  渋谷センター街  1.0  2.2       3.2  5.0    3.1      5.0   4.9\n",
       "3     新宿御苑  3.2  2.1       1.3  4.7    3.4      3.2   3.8\n",
       "4       銀座  1.0  3.3       2.0  4.9    3.2      4.9   4.8"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-62a6f058-7469-4a8b-958d-f8edc614cfe7\" 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>スポット名</th>\n",
       "      <th>自然度</th>\n",
       "      <th>文化度</th>\n",
       "      <th>アクティビティ度</th>\n",
       "      <th>利便性</th>\n",
       "      <th>家族向け度</th>\n",
       "      <th>ショッピング度</th>\n",
       "      <th>グルメ度</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>東京タワー</td>\n",
       "      <td>1.2</td>\n",
       "      <td>3.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.2</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>スカイツリー</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.9</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>渋谷センター街</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>新宿御苑</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>銀座</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4.8</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-62a6f058-7469-4a8b-958d-f8edc614cfe7')\"\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",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </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-62a6f058-7469-4a8b-958d-f8edc614cfe7 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-62a6f058-7469-4a8b-958d-f8edc614cfe7');\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>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "variable_name": "df",
       "summary": "{\n  \"name\": \"df\",\n  \"rows\": 30,\n  \"fields\": [\n    {\n      \"column\": \"\\u30b9\\u30dd\\u30c3\\u30c8\\u540d\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 30,\n        \"samples\": [\n          \"\\u59eb\\u8def\\u57ce\",\n          \"\\u5c4b\\u4e45\\u5cf6\",\n          \"\\u592a\\u5bb0\\u5e9c\\u5929\\u6e80\\u5bae\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u81ea\\u7136\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3650817835800422,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          1.2,\n          4.1,\n          5.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u6587\\u5316\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.481723910560411,\n        \"min\": 1.0,\n        \"max\": 4.9,\n        \"num_unique_values\": 15,\n        \"samples\": [\n          1.2,\n          1.0,\n          3.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30a2\\u30af\\u30c6\\u30a3\\u30d3\\u30c6\\u30a3\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3223151066895176,\n        \"min\": 1.3,\n        \"max\": 5.0,\n        \"num_unique_values\": 18,\n        \"samples\": [\n          2.3,\n          2.1,\n          2.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u5229\\u4fbf\\u6027\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1981595081192453,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          1.9,\n          4.2,\n          4.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u5bb6\\u65cf\\u5411\\u3051\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8944850184747994,\n        \"min\": 1.9,\n        \"max\": 5.0,\n        \"num_unique_values\": 20,\n        \"samples\": [\n          4.2,\n          3.8,\n          2.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30b7\\u30e7\\u30c3\\u30d4\\u30f3\\u30b0\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3700616648593746,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 21,\n        \"samples\": [\n          4.9,\n          2.0,\n          2.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30b0\\u30eb\\u30e1\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.852339579405233,\n        \"min\": 1.9,\n        \"max\": 5.0,\n        \"num_unique_values\": 21,\n        \"samples\": [\n          4.7,\n          3.3,\n          3.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {},
     "execution_count": 3
    }
   ],
   "source": [
    "# データの読み込み\n",
    "df = pd.read_csv('/content/drive/MyDrive/clustering_spots/spots_data.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UpdWxYqLH7Jj"
   },
   "source": [
    "## 3. データの確認"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 705
    },
    "id": "cqOAj_PmH7Jk",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1768455800109,
     "user_tz": -540,
     "elapsed": 61,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "3908e53c-69fb-42bb-dd9d-4b1e6b5ec7b1"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "データの形状（行数, 列数）： (30, 8)\n",
      "\n",
      "データの詳細情報：\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 30 entries, 0 to 29\n",
      "Data columns (total 8 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   スポット名     30 non-null     object \n",
      " 1   自然度       30 non-null     float64\n",
      " 2   文化度       30 non-null     float64\n",
      " 3   アクティビティ度  30 non-null     float64\n",
      " 4   利便性       30 non-null     float64\n",
      " 5   家族向け度     30 non-null     float64\n",
      " 6   ショッピング度   30 non-null     float64\n",
      " 7   グルメ度      30 non-null     float64\n",
      "dtypes: float64(7), object(1)\n",
      "memory usage: 2.0+ KB\n",
      "\n",
      "統計情報：\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "             自然度        文化度   アクティビティ度       利便性      家族向け度    ショッピング度  \\\n",
       "count  30.000000  30.000000  30.000000  30.00000  30.000000  30.000000   \n",
       "mean    3.200000   3.163333   3.110000   3.04000   3.630000   2.850000   \n",
       "std     1.365082   1.481724   1.322315   1.19816   0.894485   1.370062   \n",
       "min     1.000000   1.000000   1.300000   1.00000   1.900000   1.000000   \n",
       "25%     2.300000   2.100000   2.000000   2.10000   3.100000   1.825000   \n",
       "50%     3.150000   2.900000   2.550000   3.10000   3.900000   2.600000   \n",
       "75%     4.575000   4.800000   4.600000   3.92500   4.200000   3.875000   \n",
       "max     5.000000   4.900000   5.000000   5.00000   5.000000   5.000000   \n",
       "\n",
       "           グルメ度  \n",
       "count  30.00000  \n",
       "mean    3.78000  \n",
       "std     0.85234  \n",
       "min     1.90000  \n",
       "25%     3.32500  \n",
       "50%     3.80000  \n",
       "75%     4.50000  \n",
       "max     5.00000  "
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-dcfa5910-b6ba-4bb1-9de6-9debf99b5555\" 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>自然度</th>\n",
       "      <th>文化度</th>\n",
       "      <th>アクティビティ度</th>\n",
       "      <th>利便性</th>\n",
       "      <th>家族向け度</th>\n",
       "      <th>ショッピング度</th>\n",
       "      <th>グルメ度</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.00000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.200000</td>\n",
       "      <td>3.163333</td>\n",
       "      <td>3.110000</td>\n",
       "      <td>3.04000</td>\n",
       "      <td>3.630000</td>\n",
       "      <td>2.850000</td>\n",
       "      <td>3.78000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.365082</td>\n",
       "      <td>1.481724</td>\n",
       "      <td>1.322315</td>\n",
       "      <td>1.19816</td>\n",
       "      <td>0.894485</td>\n",
       "      <td>1.370062</td>\n",
       "      <td>0.85234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.90000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.300000</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.10000</td>\n",
       "      <td>3.100000</td>\n",
       "      <td>1.825000</td>\n",
       "      <td>3.32500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.150000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>2.550000</td>\n",
       "      <td>3.10000</td>\n",
       "      <td>3.900000</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>3.80000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.575000</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>3.92500</td>\n",
       "      <td>4.200000</td>\n",
       "      <td>3.875000</td>\n",
       "      <td>4.50000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.00000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.00000</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-dcfa5910-b6ba-4bb1-9de6-9debf99b5555')\"\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",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </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-dcfa5910-b6ba-4bb1-9de6-9debf99b5555 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-dcfa5910-b6ba-4bb1-9de6-9debf99b5555');\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>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"df\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"\\u81ea\\u7136\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9.668261968325593,\n        \"min\": 1.0,\n        \"max\": 30.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3.2,\n          3.1500000000000004,\n          30.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u6587\\u5316\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9.682414729169999,\n        \"min\": 1.0,\n        \"max\": 30.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3.1633333333333336,\n          2.9,\n          30.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30a2\\u30af\\u30c6\\u30a3\\u30d3\\u30c6\\u30a3\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9.700827999940419,\n        \"min\": 1.3,\n        \"max\": 30.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3.1100000000000003,\n          2.55,\n          30.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u5229\\u4fbf\\u6027\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9.721203788103711,\n        \"min\": 1.0,\n        \"max\": 30.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3.0399999999999996,\n          3.1,\n          30.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u5bb6\\u65cf\\u5411\\u3051\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9.553458240836262,\n        \"min\": 0.8944850184747994,\n        \"max\": 30.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3.630000000000001,\n          3.9,\n          30.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30b7\\u30e7\\u30c3\\u30d4\\u30f3\\u30b0\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9.76020543526692,\n        \"min\": 1.0,\n        \"max\": 30.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          2.85,\n          2.5999999999999996,\n          30.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30b0\\u30eb\\u30e1\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9.533082726286807,\n        \"min\": 0.852339579405233,\n        \"max\": 30.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3.78,\n          3.8,\n          30.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "source": [
    "# データの基本情報\n",
    "print(\"データの形状（行数, 列数）：\", df.shape)\n",
    "print(\"\\nデータの詳細情報：\")\n",
    "df.info()\n",
    "\n",
    "print(\"\\n統計情報：\")\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5jP5aMqGH7Jk"
   },
   "source": [
    "## 4. クラスタリングの実行\n",
    "\n",
    "### 4.1 データの標準化\n",
    "\n",
    "クラスタリングの前に、各評価項目のデータを標準化します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "vvVeerHmH7Jk",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1768455961578,
     "user_tz": -540,
     "elapsed": 50,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "01ad5a74-9e3f-48b1-893e-229f9eccd50e"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "標準化後のデータの平均：\n",
      "[-1.11022302e-16 -8.51170986e-17 -1.92438658e-16  3.77475828e-16\n",
      " -8.62273216e-16 -8.14163551e-17  2.02846998e-16]\n",
      "\n",
      "標準化後のデータの標準偏差：\n",
      "[1. 1. 1. 1. 1. 1. 1.]\n"
     ]
    }
   ],
   "source": [
    "# 評価項目のデータのみを取り出す\n",
    "features = df[['自然度', '文化度', 'アクティビティ度', '利便性', '家族向け度', 'ショッピング度', 'グルメ度']]\n",
    "\n",
    "# データを標準化（平均0、標準偏差1に変換）\n",
    "scaler = StandardScaler()\n",
    "features_scaled = scaler.fit_transform(features)\n",
    "\n",
    "print(\"標準化後のデータの平均：\")\n",
    "print(features_scaled.mean(axis=0))\n",
    "print(\"\\n標準化後のデータの標準偏差：\")\n",
    "print(features_scaled.std(axis=0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5GPtZM4QH7Jl"
   },
   "source": [
    "### 4.2 最適なクラスタ数の決定（エルボー法）\n",
    "\n",
    "エルボー法を使って、最適なクラスタ数を決定します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 361
    },
    "id": "_ckSzMTpH7Jl",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1768455972448,
     "user_tz": -540,
     "elapsed": 441,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "db3e95f3-afe4-4474-a348-435d0bc56ccf"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": "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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "エルボーグラフで急激に変化が小さくなる点が最適なクラスタ数です。\n",
      "このデータでは、4つのクラスタが適切と判断されます。\n"
     ]
    }
   ],
   "source": [
    "# 1から10までのクラスタ数で試す\n",
    "inertias = []\n",
    "K_range = range(1, 11)\n",
    "\n",
    "for k in K_range:\n",
    "    kmeans = KMeans(n_clusters=k, random_state=42, n_init=10)\n",
    "    kmeans.fit(features_scaled)\n",
    "    inertias.append(kmeans.inertia_)\n",
    "\n",
    "# エルボーグラフの作成\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(K_range, inertias, 'bo-')\n",
    "plt.xlabel('クラスタ数')\n",
    "plt.ylabel('クラスタ内平方和（Inertia）')\n",
    "plt.title('エルボー法によるクラスタ数の決定')\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.show()\n",
    "\n",
    "print(\"エルボーグラフで急激に変化が小さくなる点が最適なクラスタ数です。\")\n",
    "print(\"このデータでは、4つのクラスタが適切と判断されます。\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "I0cfRsIdH7Jl"
   },
   "source": [
    "### 4.3 K-meansクラスタリングの実行"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 658
    },
    "id": "k3WnzkatH7Jl",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1768456450589,
     "user_tz": -540,
     "elapsed": 70,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "1618d8bf-e872-4e59-dbc0-c37c2335fa0e"
   },
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "     スポット名  自然度  文化度  アクティビティ度  利便性  家族向け度  ショッピング度  グルメ度  クラスタ\n",
       "0    東京タワー  1.2  3.1       2.3  4.8    4.2      4.9   4.7     0\n",
       "1   スカイツリー  1.1  2.9       2.1  4.9    4.3      4.8   4.8     0\n",
       "2  渋谷センター街  1.0  2.2       3.2  5.0    3.1      5.0   4.9     0\n",
       "3     新宿御苑  3.2  2.1       1.3  4.7    3.4      3.2   3.8     0\n",
       "4       銀座  1.0  3.3       2.0  4.9    3.2      4.9   4.8     0\n",
       "5      富士山  4.9  2.3       4.2  1.8    2.7      1.2   2.1     1\n",
       "6      白川郷  4.1  4.8       1.9  2.1    3.2      1.8   3.1     2\n",
       "7      清水寺  2.8  4.9       2.1  3.4    4.1      2.9   4.2     2\n",
       "8      金閣寺  3.1  4.8       1.8  3.2    3.9      3.1   4.0     2\n",
       "9   伏見稲荷大社  3.2  4.7       2.8  3.1    4.0      2.3   3.4     2"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-2d8c0eab-4d5c-45b8-9c5b-277a5d9a094f\" 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>スポット名</th>\n",
       "      <th>自然度</th>\n",
       "      <th>文化度</th>\n",
       "      <th>アクティビティ度</th>\n",
       "      <th>利便性</th>\n",
       "      <th>家族向け度</th>\n",
       "      <th>ショッピング度</th>\n",
       "      <th>グルメ度</th>\n",
       "      <th>クラスタ</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>東京タワー</td>\n",
       "      <td>1.2</td>\n",
       "      <td>3.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.2</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>スカイツリー</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.9</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>渋谷センター街</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>新宿御苑</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>銀座</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>富士山</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>白川郷</td>\n",
       "      <td>4.1</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.1</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>清水寺</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.1</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.1</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>金閣寺</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>伏見稲荷大社</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>2</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-2d8c0eab-4d5c-45b8-9c5b-277a5d9a094f')\"\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",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </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-2d8c0eab-4d5c-45b8-9c5b-277a5d9a094f 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-2d8c0eab-4d5c-45b8-9c5b-277a5d9a094f');\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>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "variable_name": "df",
       "summary": "{\n  \"name\": \"df\",\n  \"rows\": 30,\n  \"fields\": [\n    {\n      \"column\": \"\\u30b9\\u30dd\\u30c3\\u30c8\\u540d\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 30,\n        \"samples\": [\n          \"\\u59eb\\u8def\\u57ce\",\n          \"\\u5c4b\\u4e45\\u5cf6\",\n          \"\\u592a\\u5bb0\\u5e9c\\u5929\\u6e80\\u5bae\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u81ea\\u7136\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3650817835800422,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          1.2,\n          4.1,\n          5.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u6587\\u5316\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.481723910560411,\n        \"min\": 1.0,\n        \"max\": 4.9,\n        \"num_unique_values\": 15,\n        \"samples\": [\n          1.2,\n          1.0,\n          3.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30a2\\u30af\\u30c6\\u30a3\\u30d3\\u30c6\\u30a3\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3223151066895176,\n        \"min\": 1.3,\n        \"max\": 5.0,\n        \"num_unique_values\": 18,\n        \"samples\": [\n          2.3,\n          2.1,\n          2.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u5229\\u4fbf\\u6027\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1981595081192453,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          1.9,\n          4.2,\n          4.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u5bb6\\u65cf\\u5411\\u3051\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8944850184747994,\n        \"min\": 1.9,\n        \"max\": 5.0,\n        \"num_unique_values\": 20,\n        \"samples\": [\n          4.2,\n          3.8,\n          2.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30b7\\u30e7\\u30c3\\u30d4\\u30f3\\u30b0\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3700616648593746,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 21,\n        \"samples\": [\n          4.9,\n          2.0,\n          2.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30b0\\u30eb\\u30e1\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.852339579405233,\n        \"min\": 1.9,\n        \"max\": 5.0,\n        \"num_unique_values\": 21,\n        \"samples\": [\n          4.7,\n          3.3,\n          3.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30af\\u30e9\\u30b9\\u30bf\",\n      \"properties\": {\n        \"dtype\": \"int32\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1,\n          3,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {},
     "execution_count": 8
    }
   ],
   "source": [
    "# K-meansクラスタリングを実行（クラスタ数=4）\n",
    "kmeans = KMeans(n_clusters=4, random_state=42, n_init=10)\n",
    "clusters = kmeans.fit_predict(features_scaled)\n",
    "\n",
    "# 結果をデータフレームに追加\n",
    "df['クラスタ'] = clusters\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 241
    },
    "id": "wZ8AMf2zH7Jl",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1768456806671,
     "user_tz": -540,
     "elapsed": 29,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "54af2256-d499-4b29-a980-9e27e10127f1"
   },
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "クラスタ\n",
       "0     6\n",
       "1     8\n",
       "2    11\n",
       "3     5\n",
       "Name: count, dtype: int64"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>クラスタ</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div><br><label><b>dtype:</b> int64</label>"
      ]
     },
     "metadata": {},
     "execution_count": 11
    }
   ],
   "source": [
    "#各クラスタのスポット数\n",
    "df['クラスタ'].value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WN9Y2NgLH7Jl"
   },
   "source": [
    "## 5. 結果の解釈\n",
    "\n",
    "### 5.1 各クラスタの特徴を確認"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 241
    },
    "id": "SfIOxMRBH7Jl",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1768457024475,
     "user_tz": -540,
     "elapsed": 150,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "4132f4d4-c503-4676-beea-763630076557"
   },
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "       自然度   文化度  アクティビティ度   利便性  家族向け度  ショッピング度  グルメ度\n",
       "クラスタ                                                  \n",
       "0     1.63  3.08      2.18  4.73   3.75     4.45  4.62\n",
       "1     4.85  2.08      4.28  1.55   2.46     1.30  2.80\n",
       "2     3.41  4.82      1.97  3.05   3.85     2.44  3.70\n",
       "3     1.98  1.36      4.86  3.38   4.86     4.32  4.52"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-7f2a4d67-ed03-4296-8ec3-c736a5046cac\" 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>自然度</th>\n",
       "      <th>文化度</th>\n",
       "      <th>アクティビティ度</th>\n",
       "      <th>利便性</th>\n",
       "      <th>家族向け度</th>\n",
       "      <th>ショッピング度</th>\n",
       "      <th>グルメ度</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>クラスタ</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.63</td>\n",
       "      <td>3.08</td>\n",
       "      <td>2.18</td>\n",
       "      <td>4.73</td>\n",
       "      <td>3.75</td>\n",
       "      <td>4.45</td>\n",
       "      <td>4.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.85</td>\n",
       "      <td>2.08</td>\n",
       "      <td>4.28</td>\n",
       "      <td>1.55</td>\n",
       "      <td>2.46</td>\n",
       "      <td>1.30</td>\n",
       "      <td>2.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.41</td>\n",
       "      <td>4.82</td>\n",
       "      <td>1.97</td>\n",
       "      <td>3.05</td>\n",
       "      <td>3.85</td>\n",
       "      <td>2.44</td>\n",
       "      <td>3.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.98</td>\n",
       "      <td>1.36</td>\n",
       "      <td>4.86</td>\n",
       "      <td>3.38</td>\n",
       "      <td>4.86</td>\n",
       "      <td>4.32</td>\n",
       "      <td>4.52</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-7f2a4d67-ed03-4296-8ec3-c736a5046cac')\"\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",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </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-7f2a4d67-ed03-4296-8ec3-c736a5046cac 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-7f2a4d67-ed03-4296-8ec3-c736a5046cac');\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>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"cluster_means\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"\\u30af\\u30e9\\u30b9\\u30bf\",\n      \"properties\": {\n        \"dtype\": \"int32\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1,\n          3,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u81ea\\u7136\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.4723761973988394,\n        \"min\": 1.63,\n        \"max\": 4.85,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          4.85,\n          1.98,\n          1.63\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u6587\\u5316\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.4995443752464725,\n        \"min\": 1.36,\n        \"max\": 4.82,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          2.08,\n          1.36,\n          3.08\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30a2\\u30af\\u30c6\\u30a3\\u30d3\\u30c6\\u30a3\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.4623354608296963,\n        \"min\": 1.97,\n        \"max\": 4.86,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          4.28,\n          4.86,\n          2.18\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u5229\\u4fbf\\u6027\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3059192164908213,\n        \"min\": 1.55,\n        \"max\": 4.73,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1.55,\n          3.38,\n          4.73\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u5bb6\\u65cf\\u5411\\u3051\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9839715443040008,\n        \"min\": 2.46,\n        \"max\": 4.86,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          2.46,\n          4.86,\n          3.75\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30b7\\u30e7\\u30c3\\u30d4\\u30f3\\u30b0\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.525721140969083,\n        \"min\": 1.3,\n        \"max\": 4.45,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1.3,\n          4.32,\n          4.45\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30b0\\u30eb\\u30e1\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8470340410318034,\n        \"min\": 2.8,\n        \"max\": 4.62,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          2.8,\n          4.52,\n          4.62\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {},
     "execution_count": 14
    }
   ],
   "source": [
    "# 各クラスタの平均値を計算\n",
    "cluster_means = df.groupby('クラスタ')[['自然度', '文化度', 'アクティビティ度', '利便性', '家族向け度', 'ショッピング度', 'グルメ度']].mean()\n",
    "cluster_means.round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hNDec5szH7Jl"
   },
   "source": [
    "### 5.2 各クラスタのスポット一覧"
   ]
  },
  {
   "cell_type": "code",
   "source": [
    "df.groupby('クラスタ')['スポット名'].apply(list)"
   ],
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 328
    },
    "id": "vLYt095gRAzh",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1768457280846,
     "user_tz": -540,
     "elapsed": 203,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "fb44d3fd-0d36-49ff-c7e2-d38c114e0cb3"
   },
   "execution_count": null,
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "クラスタ\n",
       "0              [東京タワー, スカイツリー, 渋谷センター街, 新宿御苑, 銀座, 浅草寺]\n",
       "1       [富士山, 屋久島, 知床, 上高地, 尾瀬, 立山黒部アルペンルート, 竹富島, 石垣島]\n",
       "2    [白川郷, 清水寺, 金閣寺, 伏見稲荷大社, 奈良公園, 鎌倉大仏, 太宰府天満宮, 厳島...\n",
       "3    [ディズニーランド, ユニバーサルスタジオ, 富士急ハイランド, ハウステンボス, 那須ハイ...\n",
       "Name: スポット名, dtype: object"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>スポット名</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>クラスタ</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[東京タワー, スカイツリー, 渋谷センター街, 新宿御苑, 銀座, 浅草寺]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[富士山, 屋久島, 知床, 上高地, 尾瀬, 立山黒部アルペンルート, 竹富島, 石垣島]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[白川郷, 清水寺, 金閣寺, 伏見稲荷大社, 奈良公園, 鎌倉大仏, 太宰府天満宮, 厳島...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[ディズニーランド, ユニバーサルスタジオ, 富士急ハイランド, ハウステンボス, 那須ハイ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div><br><label><b>dtype:</b> object</label>"
      ]
     },
     "metadata": {},
     "execution_count": 17
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "dQe7-Hw1H7Jm"
   },
   "source": [
    "## 6. 可視化\n",
    "\n",
    "### 6.1 クラスタごとの特徴をレーダーチャートで可視化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 495
    },
    "id": "h9gCEKRQH7Jm",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1768457483213,
     "user_tz": -540,
     "elapsed": 1286,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "539144fb-3dc8-4701-bf71-9b26ac33d081"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1400x1400 with 4 Axes>"
      ],
      "image/png": "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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "# レーダーチャートの作成\n",
    "categories = ['自然度', '文化度', 'アクティビティ度', '利便性', '家族向け度', 'ショッピング度', 'グルメ度']\n",
    "N = len(categories)\n",
    "\n",
    "# 角度を計算\n",
    "angles = [n / float(N) * 2 * np.pi for n in range(N)]\n",
    "angles += angles[:1]\n",
    "\n",
    "# プロット\n",
    "fig, axes = plt.subplots(2, 2, figsize=(14, 14), subplot_kw=dict(polar=True))\n",
    "axes = axes.flatten()\n",
    "\n",
    "cluster_names = [\n",
    "    'クラスタ0: 都市型総合スポット',\n",
    "    'クラスタ1: 自然アクティビティ型',\n",
    "    'クラスタ2: ファミリーテーマパーク型',\n",
    "    'クラスタ3: 静かな文化体験型'\n",
    "]\n",
    "\n",
    "for i in range(4):\n",
    "    ax = axes[i]\n",
    "    values = cluster_means.iloc[i].tolist()\n",
    "    values += values[:1]\n",
    "\n",
    "    ax.plot(angles, values, 'o-', linewidth=2)\n",
    "    ax.fill(angles, values, alpha=0.25)\n",
    "    ax.set_xticks(angles[:-1])\n",
    "    ax.set_xticklabels(categories)\n",
    "    ax.set_ylim(0, 5)\n",
    "    ax.set_title(cluster_names[i], size=14, pad=20)\n",
    "    ax.grid(True)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WGsV-4M9H7Jm"
   },
   "source": [
    "### 6.2 2次元散布図で可視化\n",
    "\n",
    "主成分分析を使って、7次元のデータを2次元に縮約して可視化します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 335
    },
    "id": "dJxjfb9UH7Jm",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1768457624763,
     "user_tz": -540,
     "elapsed": 381,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "791deb8a-92b4-47f0-a804-d81ba465d239"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ],
      "image/png": "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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "\n",
    "# PCAで2次元に縮約\n",
    "pca = PCA(n_components=2)\n",
    "features_2d = pca.fit_transform(features_scaled)\n",
    "\n",
    "# 散布図の作成\n",
    "plt.figure(figsize=(12, 8))\n",
    "colors = ['red', 'blue', 'green', 'orange']\n",
    "cluster_labels = ['都市型総合', '自然アクティビティ', 'ファミリーテーマパーク', '文化体験']\n",
    "\n",
    "for i in range(4):\n",
    "    mask = df['クラスタ'] == i\n",
    "    plt.scatter(features_2d[mask, 0], features_2d[mask, 1],\n",
    "                c=colors[i], label=f'クラスタ{i}: {cluster_labels[i]}',\n",
    "                s=100, alpha=0.6, edgecolors='black')\n",
    "\n",
    "# いくつかのスポットにラベルを表示\n",
    "for idx, row in df.iterrows():\n",
    "    if row['スポット名'] in ['東京タワー', 'ディズニーランド', '屋久島', '清水寺']:\n",
    "        plt.annotate(row['スポット名'],\n",
    "                    xy=(features_2d[idx, 0], features_2d[idx, 1]),\n",
    "                    xytext=(5, 5), textcoords='offset points', fontsize=9)\n",
    "\n",
    "plt.xlabel(f'第1主成分 ({pca.explained_variance_ratio_[0]:.1%})')\n",
    "plt.ylabel(f'第2主成分 ({pca.explained_variance_ratio_[1]:.1%})')\n",
    "plt.title('クラスタリング結果（2次元プロット）')\n",
    "plt.legend()\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "peanQwG7H7Jm"
   },
   "source": [
    "## 7. 結果をエクスポート\n",
    "\n",
    "クラスタ情報付きのCSVをマイドライブの「sample-project」に「spots_clustered.csv」として保存します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 452
    },
    "id": "chenU4iLH7Jm",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1768457659543,
     "user_tz": -540,
     "elapsed": 39,
     "user": {
      "displayName": "dataviz-p5-py",
      "userId": "03582549047009910850"
     }
    },
    "outputId": "3942aca1-e13b-4815-be9b-b089a8b7f5e8"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "分析結果を 'spots_clustered.csv' として保存しました。\n",
      "\n",
      "保存されたデータの最初の5行：\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "     スポット名  自然度  文化度  アクティビティ度  利便性  家族向け度  ショッピング度  グルメ度  クラスタ\n",
       "0    東京タワー  1.2  3.1       2.3  4.8    4.2      4.9   4.7     0\n",
       "1   スカイツリー  1.1  2.9       2.1  4.9    4.3      4.8   4.8     0\n",
       "2  渋谷センター街  1.0  2.2       3.2  5.0    3.1      5.0   4.9     0\n",
       "3     新宿御苑  3.2  2.1       1.3  4.7    3.4      3.2   3.8     0\n",
       "4       銀座  1.0  3.3       2.0  4.9    3.2      4.9   4.8     0"
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-f11bff25-e8bb-4b3e-884d-0ad162248c76\" 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>スポット名</th>\n",
       "      <th>自然度</th>\n",
       "      <th>文化度</th>\n",
       "      <th>アクティビティ度</th>\n",
       "      <th>利便性</th>\n",
       "      <th>家族向け度</th>\n",
       "      <th>ショッピング度</th>\n",
       "      <th>グルメ度</th>\n",
       "      <th>クラスタ</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>東京タワー</td>\n",
       "      <td>1.2</td>\n",
       "      <td>3.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.2</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4.7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>スカイツリー</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.9</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>渋谷センター街</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>新宿御苑</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>銀座</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4.8</td>\n",
       "      <td>0</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-f11bff25-e8bb-4b3e-884d-0ad162248c76')\"\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",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </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-f11bff25-e8bb-4b3e-884d-0ad162248c76 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-f11bff25-e8bb-4b3e-884d-0ad162248c76');\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>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "variable_name": "df",
       "summary": "{\n  \"name\": \"df\",\n  \"rows\": 30,\n  \"fields\": [\n    {\n      \"column\": \"\\u30b9\\u30dd\\u30c3\\u30c8\\u540d\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 30,\n        \"samples\": [\n          \"\\u59eb\\u8def\\u57ce\",\n          \"\\u5c4b\\u4e45\\u5cf6\",\n          \"\\u592a\\u5bb0\\u5e9c\\u5929\\u6e80\\u5bae\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u81ea\\u7136\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3650817835800422,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          1.2,\n          4.1,\n          5.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u6587\\u5316\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.481723910560411,\n        \"min\": 1.0,\n        \"max\": 4.9,\n        \"num_unique_values\": 15,\n        \"samples\": [\n          1.2,\n          1.0,\n          3.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30a2\\u30af\\u30c6\\u30a3\\u30d3\\u30c6\\u30a3\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3223151066895176,\n        \"min\": 1.3,\n        \"max\": 5.0,\n        \"num_unique_values\": 18,\n        \"samples\": [\n          2.3,\n          2.1,\n          2.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u5229\\u4fbf\\u6027\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1981595081192453,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          1.9,\n          4.2,\n          4.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u5bb6\\u65cf\\u5411\\u3051\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8944850184747994,\n        \"min\": 1.9,\n        \"max\": 5.0,\n        \"num_unique_values\": 20,\n        \"samples\": [\n          4.2,\n          3.8,\n          2.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30b7\\u30e7\\u30c3\\u30d4\\u30f3\\u30b0\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3700616648593746,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 21,\n        \"samples\": [\n          4.9,\n          2.0,\n          2.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30b0\\u30eb\\u30e1\\u5ea6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.852339579405233,\n        \"min\": 1.9,\n        \"max\": 5.0,\n        \"num_unique_values\": 21,\n        \"samples\": [\n          4.7,\n          3.3,\n          3.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u30af\\u30e9\\u30b9\\u30bf\",\n      \"properties\": {\n        \"dtype\": \"int32\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1,\n          3,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {},
     "execution_count": 20
    }
   ],
   "source": [
    "# クラスタ情報を含むデータを保存\n",
    "df.to_csv('/content/drive/MyDrive/clustering_spots/spots_clustered.csv',\n",
    "          index=False, encoding='utf-8-sig')\n",
    "\n",
    "print(\"分析結果を 'spots_clustered.csv' として保存しました。\")\n",
    "print(\"\\n保存されたデータの最初の5行：\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "YJ-a7u2QH7Jm"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.6"
  },
  "colab": {
   "provenance": []
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
