diff --git a/K_Means.ipynb b/K_Means.ipynb
new file mode 100644
index 0000000..b0de2b2
--- /dev/null
+++ b/K_Means.ipynb
@@ -0,0 +1,1710 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "toc_visible": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "First, we import the necessary libraries and load your wine dataset."
+      ],
+      "metadata": {
+        "id": "Ww5mab2dhD-O"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 107,
+      "metadata": {
+        "id": "lCmFLDCQbj8W"
+      },
+      "outputs": [],
+      "source": [
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "import seaborn as sns\n",
+        "from sklearn.preprocessing import StandardScaler, LabelEncoder\n",
+        "from sklearn.cluster import KMeans"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Load the dataset"
+      ],
+      "metadata": {
+        "id": "3ErOtFNhhOgg"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df = pd.read_csv('wine-quality-white-and-red (1).csv')"
+      ],
+      "metadata": {
+        "id": "jZPbhHWFcaiH"
+      },
+      "execution_count": 108,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Initial check"
+      ],
+      "metadata": {
+        "id": "A_MpIRLOhVF2"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(\"Dataset Shape:\", df.shape)\n",
+        "df.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 278
+        },
+        "id": "qxteMWr5cizv",
+        "outputId": "36ecbc8b-c192-4369-823e-a3e73a57386e"
+      },
+      "execution_count": 109,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Dataset Shape: (6497, 13)\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "    type  fixed acidity  volatile acidity  citric acid  residual sugar  \\\n",
+              "0  white            7.0              0.27         0.36            20.7   \n",
+              "1  white            6.3              0.30         0.34             1.6   \n",
+              "2  white            8.1              0.28         0.40             6.9   \n",
+              "3  white            7.2              0.23         0.32             8.5   \n",
+              "4  white            7.2              0.23         0.32             8.5   \n",
+              "\n",
+              "   chlorides  free sulfur dioxide  total sulfur dioxide  density    pH  \\\n",
+              "0      0.045                 45.0                 170.0   1.0010  3.00   \n",
+              "1      0.049                 14.0                 132.0   0.9940  3.30   \n",
+              "2      0.050                 30.0                  97.0   0.9951  3.26   \n",
+              "3      0.058                 47.0                 186.0   0.9956  3.19   \n",
+              "4      0.058                 47.0                 186.0   0.9956  3.19   \n",
+              "\n",
+              "   sulphates  alcohol  quality  \n",
+              "0       0.45      8.8        6  \n",
+              "1       0.49      9.5        6  \n",
+              "2       0.44     10.1        6  \n",
+              "3       0.40      9.9        6  \n",
+              "4       0.40      9.9        6  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-1e5d4cd3-e13f-41b0-b66c-fd6a01a9e0ec\" 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>type</th>\n",
+              "      <th>fixed acidity</th>\n",
+              "      <th>volatile acidity</th>\n",
+              "      <th>citric acid</th>\n",
+              "      <th>residual sugar</th>\n",
+              "      <th>chlorides</th>\n",
+              "      <th>free sulfur dioxide</th>\n",
+              "      <th>total sulfur dioxide</th>\n",
+              "      <th>density</th>\n",
+              "      <th>pH</th>\n",
+              "      <th>sulphates</th>\n",
+              "      <th>alcohol</th>\n",
+              "      <th>quality</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>white</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>0.27</td>\n",
+              "      <td>0.36</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>0.045</td>\n",
+              "      <td>45.0</td>\n",
+              "      <td>170.0</td>\n",
+              "      <td>1.0010</td>\n",
+              "      <td>3.00</td>\n",
+              "      <td>0.45</td>\n",
+              "      <td>8.8</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>white</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>0.30</td>\n",
+              "      <td>0.34</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.049</td>\n",
+              "      <td>14.0</td>\n",
+              "      <td>132.0</td>\n",
+              "      <td>0.9940</td>\n",
+              "      <td>3.30</td>\n",
+              "      <td>0.49</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>white</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>0.28</td>\n",
+              "      <td>0.40</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>0.050</td>\n",
+              "      <td>30.0</td>\n",
+              "      <td>97.0</td>\n",
+              "      <td>0.9951</td>\n",
+              "      <td>3.26</td>\n",
+              "      <td>0.44</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>white</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>0.23</td>\n",
+              "      <td>0.32</td>\n",
+              "      <td>8.5</td>\n",
+              "      <td>0.058</td>\n",
+              "      <td>47.0</td>\n",
+              "      <td>186.0</td>\n",
+              "      <td>0.9956</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>0.40</td>\n",
+              "      <td>9.9</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>white</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>0.23</td>\n",
+              "      <td>0.32</td>\n",
+              "      <td>8.5</td>\n",
+              "      <td>0.058</td>\n",
+              "      <td>47.0</td>\n",
+              "      <td>186.0</td>\n",
+              "      <td>0.9956</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>0.40</td>\n",
+              "      <td>9.9</td>\n",
+              "      <td>6</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-1e5d4cd3-e13f-41b0-b66c-fd6a01a9e0ec')\"\n",
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+              "\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",
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+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
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+              "\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-1e5d4cd3-e13f-41b0-b66c-fd6a01a9e0ec 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-1e5d4cd3-e13f-41b0-b66c-fd6a01a9e0ec');\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",
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+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
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+              "\n",
+              "\n",
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+              "      --hover-bg-color: #E2EBFA;\n",
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+              "</style>\n",
+              "\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",
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+              "            const charts = await google.colab.kernel.invokeFunction(\n",
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+              "type": "dataframe",
+              "variable_name": "df",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 6497,\n  \"fields\": [\n    {\n      \"column\": \"type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"red\",\n          \"white\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fixed acidity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.296433757799818,\n        \"min\": 3.8,\n        \"max\": 15.9,\n        \"num_unique_values\": 106,\n        \"samples\": [\n          14.3,\n          6.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"volatile acidity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.16463647408467888,\n        \"min\": 0.08,\n        \"max\": 1.58,\n        \"num_unique_values\": 187,\n        \"samples\": [\n          0.895,\n          0.655\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"citric acid\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1453178648975926,\n        \"min\": 0.0,\n        \"max\": 1.66,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          0.45,\n          0.51\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"residual sugar\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.7578037431474005,\n        \"min\": 0.6,\n        \"max\": 65.8,\n        \"num_unique_values\": 316,\n        \"samples\": [\n          14.7,\n          4.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"chlorides\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.035033601372459124,\n        \"min\": 0.009,\n        \"max\": 0.611,\n        \"num_unique_values\": 214,\n        \"samples\": [\n          0.046,\n          0.387\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"free sulfur dioxide\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 17.749399772002565,\n        \"min\": 1.0,\n        \"max\": 289.0,\n        \"num_unique_values\": 135,\n        \"samples\": [\n          146.5,\n          64.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total sulfur dioxide\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 56.52185452263032,\n        \"min\": 6.0,\n        \"max\": 440.0,\n        \"num_unique_values\": 276,\n        \"samples\": [\n          158.0,\n          194.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"density\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.002998673003719037,\n        \"min\": 0.98711,\n        \"max\": 1.03898,\n        \"num_unique_values\": 998,\n        \"samples\": [\n          0.99144,\n          0.99734\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pH\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.16078720210398814,\n        \"min\": 2.72,\n        \"max\": 4.01,\n        \"num_unique_values\": 108,\n        \"samples\": [\n          2.74,\n          3.25\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sulphates\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.14880587361449032,\n        \"min\": 0.22,\n        \"max\": 2.0,\n        \"num_unique_values\": 111,\n        \"samples\": [\n          1.08,\n          0.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1927117488689747,\n        \"min\": 8.0,\n        \"max\": 14.9,\n        \"num_unique_values\": 111,\n        \"samples\": [\n          12.33333333,\n          11.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"quality\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 3,\n        \"max\": 9,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          6,\n          5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 109
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Check for missing values"
+      ],
+      "metadata": {
+        "id": "yDqpdwqnhbsR"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(\"Missing values:\\n\", df.isnull().sum())"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "_I7XfEj3cpZw",
+        "outputId": "e1a106ca-05a5-42d6-9439-adcac8a0795f"
+      },
+      "execution_count": 110,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Missing values:\n",
+            " type                    0\n",
+            "fixed acidity           0\n",
+            "volatile acidity        0\n",
+            "citric acid             0\n",
+            "residual sugar          0\n",
+            "chlorides               0\n",
+            "free sulfur dioxide     0\n",
+            "total sulfur dioxide    0\n",
+            "density                 0\n",
+            "pH                      0\n",
+            "sulphates               0\n",
+            "alcohol                 0\n",
+            "quality                 0\n",
+            "dtype: int64\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Encode categorical 'type' column (Red=0, White=1)"
+      ],
+      "metadata": {
+        "id": "GpH3KSZuhgye"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "le = LabelEncoder()\n",
+        "df['type'] = le.fit_transform(df['type'])"
+      ],
+      "metadata": {
+        "id": "GeUU5ewNczdf"
+      },
+      "execution_count": 111,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Select features for clustering"
+      ],
+      "metadata": {
+        "id": "C-sSZszJhoVO"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "features = df.drop(['type'], axis=1)"
+      ],
+      "metadata": {
+        "id": "YLhoeupddCd0"
+      },
+      "execution_count": 112,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Feature Scaling"
+      ],
+      "metadata": {
+        "id": "p--jVYhwhuxF"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "scaler = StandardScaler()\n",
+        "scaled_data = scaler.fit_transform(features)\n",
+        "\n",
+        "print(\"\\nData preprocessing complete. Features scaled.\")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "JqSYd7FJc7o8",
+        "outputId": "de8286b9-7bca-41ee-a8c4-7f70953996d7"
+      },
+      "execution_count": 113,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\n",
+            "Data preprocessing complete. Features scaled.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 261
+        },
+        "id": "7hbuXi1GdNXH",
+        "outputId": "f0b1b060-5a48-44b2-bafb-30cb0c70c73f"
+      },
+      "execution_count": 114,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "   type  fixed acidity  volatile acidity  citric acid  residual sugar  \\\n",
+              "0     1            7.0              0.27         0.36            20.7   \n",
+              "1     1            6.3              0.30         0.34             1.6   \n",
+              "2     1            8.1              0.28         0.40             6.9   \n",
+              "3     1            7.2              0.23         0.32             8.5   \n",
+              "4     1            7.2              0.23         0.32             8.5   \n",
+              "\n",
+              "   chlorides  free sulfur dioxide  total sulfur dioxide  density    pH  \\\n",
+              "0      0.045                 45.0                 170.0   1.0010  3.00   \n",
+              "1      0.049                 14.0                 132.0   0.9940  3.30   \n",
+              "2      0.050                 30.0                  97.0   0.9951  3.26   \n",
+              "3      0.058                 47.0                 186.0   0.9956  3.19   \n",
+              "4      0.058                 47.0                 186.0   0.9956  3.19   \n",
+              "\n",
+              "   sulphates  alcohol  quality  \n",
+              "0       0.45      8.8        6  \n",
+              "1       0.49      9.5        6  \n",
+              "2       0.44     10.1        6  \n",
+              "3       0.40      9.9        6  \n",
+              "4       0.40      9.9        6  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-d0ac2ecb-65d0-4b48-85c7-469c670a1e96\" 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>type</th>\n",
+              "      <th>fixed acidity</th>\n",
+              "      <th>volatile acidity</th>\n",
+              "      <th>citric acid</th>\n",
+              "      <th>residual sugar</th>\n",
+              "      <th>chlorides</th>\n",
+              "      <th>free sulfur dioxide</th>\n",
+              "      <th>total sulfur dioxide</th>\n",
+              "      <th>density</th>\n",
+              "      <th>pH</th>\n",
+              "      <th>sulphates</th>\n",
+              "      <th>alcohol</th>\n",
+              "      <th>quality</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>0.27</td>\n",
+              "      <td>0.36</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>0.045</td>\n",
+              "      <td>45.0</td>\n",
+              "      <td>170.0</td>\n",
+              "      <td>1.0010</td>\n",
+              "      <td>3.00</td>\n",
+              "      <td>0.45</td>\n",
+              "      <td>8.8</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>1</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>0.30</td>\n",
+              "      <td>0.34</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.049</td>\n",
+              "      <td>14.0</td>\n",
+              "      <td>132.0</td>\n",
+              "      <td>0.9940</td>\n",
+              "      <td>3.30</td>\n",
+              "      <td>0.49</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>1</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>0.28</td>\n",
+              "      <td>0.40</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>0.050</td>\n",
+              "      <td>30.0</td>\n",
+              "      <td>97.0</td>\n",
+              "      <td>0.9951</td>\n",
+              "      <td>3.26</td>\n",
+              "      <td>0.44</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>0.23</td>\n",
+              "      <td>0.32</td>\n",
+              "      <td>8.5</td>\n",
+              "      <td>0.058</td>\n",
+              "      <td>47.0</td>\n",
+              "      <td>186.0</td>\n",
+              "      <td>0.9956</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>0.40</td>\n",
+              "      <td>9.9</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>1</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>0.23</td>\n",
+              "      <td>0.32</td>\n",
+              "      <td>8.5</td>\n",
+              "      <td>0.058</td>\n",
+              "      <td>47.0</td>\n",
+              "      <td>186.0</td>\n",
+              "      <td>0.9956</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>0.40</td>\n",
+              "      <td>9.9</td>\n",
+              "      <td>6</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-d0ac2ecb-65d0-4b48-85c7-469c670a1e96')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\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-d0ac2ecb-65d0-4b48-85c7-469c670a1e96 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-d0ac2ecb-65d0-4b48-85c7-469c670a1e96');\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-ea8e6504-8303-4171-9c4e-841abc8e3010\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ea8e6504-8303-4171-9c4e-841abc8e3010')\"\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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+              "    <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",
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+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
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+              "  .colab-df-quickchart:hover {\n",
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+              "    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",
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+              "      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-ea8e6504-8303-4171-9c4e-841abc8e3010 button');\n",
+              "          quickchartButtonEl.style.display =\n",
+              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "        })();\n",
+              "      </script>\n",
+              "    </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "df",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 6497,\n  \"fields\": [\n    {\n      \"column\": \"type\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fixed acidity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.296433757799818,\n        \"min\": 3.8,\n        \"max\": 15.9,\n        \"num_unique_values\": 106,\n        \"samples\": [\n          14.3,\n          6.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"volatile acidity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.16463647408467888,\n        \"min\": 0.08,\n        \"max\": 1.58,\n        \"num_unique_values\": 187,\n        \"samples\": [\n          0.895,\n          0.655\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"citric acid\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1453178648975926,\n        \"min\": 0.0,\n        \"max\": 1.66,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          0.45,\n          0.51\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"residual sugar\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.7578037431474005,\n        \"min\": 0.6,\n        \"max\": 65.8,\n        \"num_unique_values\": 316,\n        \"samples\": [\n          14.7,\n          4.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"chlorides\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.035033601372459124,\n        \"min\": 0.009,\n        \"max\": 0.611,\n        \"num_unique_values\": 214,\n        \"samples\": [\n          0.046,\n          0.387\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"free sulfur dioxide\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 17.749399772002565,\n        \"min\": 1.0,\n        \"max\": 289.0,\n        \"num_unique_values\": 135,\n        \"samples\": [\n          146.5,\n          64.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total sulfur dioxide\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 56.52185452263032,\n        \"min\": 6.0,\n        \"max\": 440.0,\n        \"num_unique_values\": 276,\n        \"samples\": [\n          158.0,\n          194.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"density\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.002998673003719037,\n        \"min\": 0.98711,\n        \"max\": 1.03898,\n        \"num_unique_values\": 998,\n        \"samples\": [\n          0.99144,\n          0.99734\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pH\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.16078720210398814,\n        \"min\": 2.72,\n        \"max\": 4.01,\n        \"num_unique_values\": 108,\n        \"samples\": [\n          2.74,\n          3.25\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sulphates\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.14880587361449032,\n        \"min\": 0.22,\n        \"max\": 2.0,\n        \"num_unique_values\": 111,\n        \"samples\": [\n          1.08,\n          0.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1927117488689747,\n        \"min\": 8.0,\n        \"max\": 14.9,\n        \"num_unique_values\": 111,\n        \"samples\": [\n          12.33333333,\n          11.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"quality\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 3,\n        \"max\": 9,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          6,\n          5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 114
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Correlation Heatmap"
+      ],
+      "metadata": {
+        "id": "3QZYyk2Th5z-"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "plt.figure(figsize=(12, 8))\n",
+        "sns.heatmap(df.corr(numeric_only=True), annot=True, cmap='coolwarm', fmt=\".2f\")\n",
+        "plt.title('Feature Correlation Heatmap')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 610
+        },
+        "id": "0N_coy0Cdeum",
+        "outputId": "de6457ba-2cb3-4ffe-8561-f0639fe17d52"
+      },
+      "execution_count": 115,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1200x800 with 2 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Finding the Optimal Number of Clusters"
+      ],
+      "metadata": {
+        "id": "Wu9Mof3JiAnO"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "wcss = []\n",
+        "for i in range(1, 11):\n",
+        "    kmeans = KMeans(n_clusters=i, init='k-means++', random_state=42, n_init=10)\n",
+        "    kmeans.fit(scaled_data)\n",
+        "    wcss.append(kmeans.inertia_)\n",
+        "\n",
+        "plt.figure(figsize=(10, 5))\n",
+        "plt.plot(range(1, 11), wcss, marker='o', linestyle='--')\n",
+        "plt.title('Elbow Method to Find Optimal K')\n",
+        "plt.xlabel('Number of Clusters')\n",
+        "plt.ylabel('WCSS')\n",
+        "plt.grid(True)\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 429
+        },
+        "id": "bTDCjBCBe69s",
+        "outputId": "6d9337be-58ce-413d-d0c4-230876414e2f"
+      },
+      "execution_count": 116,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x500 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "K-Means Clustering"
+      ],
+      "metadata": {
+        "id": "ShgpZzhCiImY"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "k = 3\n",
+        "kmeans = KMeans(n_clusters=k, init='k-means++', random_state=42, n_init=10)\n",
+        "df['cluster'] = kmeans.fit_predict(scaled_data)\n",
+        "\n",
+        "\n",
+        "print(\"Samples per cluster:\")\n",
+        "print(df['cluster'].value_counts())"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "R4VIGrUYfLHh",
+        "outputId": "037af8f5-967e-496f-b014-3a37954d6b76"
+      },
+      "execution_count": 117,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Samples per cluster:\n",
+            "cluster\n",
+            "2    2908\n",
+            "1    1970\n",
+            "0    1619\n",
+            "Name: count, dtype: int64\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Visualizing Clusters"
+      ],
+      "metadata": {
+        "id": "B31mzR1liWJF"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "plt.figure(figsize=(10, 6))\n",
+        "sns.scatterplot(x='alcohol', y='density', hue='cluster', data=df, palette='bright', alpha=0.6)\n",
+        "plt.title('Clusters Visualized: Alcohol vs. Density')\n",
+        "plt.xlabel('Alcohol Content')\n",
+        "plt.ylabel('Density')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 504
+        },
+        "id": "mGIImg0igFup",
+        "outputId": "de971a7e-cf5c-4e69-830a-8d505a90b0a7"
+      },
+      "execution_count": 118,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Calculate the mean of each feature for each cluster"
+      ],
+      "metadata": {
+        "id": "fhoudAPwifrK"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cluster_means = df.groupby('cluster').mean(numeric_only=True)\n",
+        "\n",
+        "print(\"Manually Calculated Centroids (Average of each cluster):\")\n",
+        "display(cluster_means)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 247
+        },
+        "id": "meHXhgmXhAOw",
+        "outputId": "cf2232ef-d261-46ef-8167-cd41ba384ad7"
+      },
+      "execution_count": 119,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Manually Calculated Centroids (Average of each cluster):\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "             type  fixed acidity  volatile acidity  citric acid  \\\n",
+              "cluster                                                           \n",
+              "0        0.051266       8.334466          0.532548     0.272187   \n",
+              "1        0.997970       6.972386          0.283525     0.355036   \n",
+              "2        0.979711       6.756792          0.270313     0.319831   \n",
+              "\n",
+              "         residual sugar  chlorides  free sulfur dioxide  total sulfur dioxide  \\\n",
+              "cluster                                                                         \n",
+              "0              2.563959   0.088460            15.663372             48.706609   \n",
+              "1             10.832716   0.052738            44.859645            169.092893   \n",
+              "2              3.395186   0.040214            29.088893            116.926926   \n",
+              "\n",
+              "          density        pH  sulphates    alcohol   quality  \n",
+              "cluster                                                      \n",
+              "0        0.996780  3.303935   0.653595  10.325901  5.563928  \n",
+              "1        0.996868  3.157289   0.491756   9.534213  5.552284  \n",
+              "2        0.992065  3.212404   0.489931  11.232874  6.140303  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-07d00e94-e27f-47fe-a24b-f10847e94d23\" 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>type</th>\n",
+              "      <th>fixed acidity</th>\n",
+              "      <th>volatile acidity</th>\n",
+              "      <th>citric acid</th>\n",
+              "      <th>residual sugar</th>\n",
+              "      <th>chlorides</th>\n",
+              "      <th>free sulfur dioxide</th>\n",
+              "      <th>total sulfur dioxide</th>\n",
+              "      <th>density</th>\n",
+              "      <th>pH</th>\n",
+              "      <th>sulphates</th>\n",
+              "      <th>alcohol</th>\n",
+              "      <th>quality</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>cluster</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></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>0.051266</td>\n",
+              "      <td>8.334466</td>\n",
+              "      <td>0.532548</td>\n",
+              "      <td>0.272187</td>\n",
+              "      <td>2.563959</td>\n",
+              "      <td>0.088460</td>\n",
+              "      <td>15.663372</td>\n",
+              "      <td>48.706609</td>\n",
+              "      <td>0.996780</td>\n",
+              "      <td>3.303935</td>\n",
+              "      <td>0.653595</td>\n",
+              "      <td>10.325901</td>\n",
+              "      <td>5.563928</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>0.997970</td>\n",
+              "      <td>6.972386</td>\n",
+              "      <td>0.283525</td>\n",
+              "      <td>0.355036</td>\n",
+              "      <td>10.832716</td>\n",
+              "      <td>0.052738</td>\n",
+              "      <td>44.859645</td>\n",
+              "      <td>169.092893</td>\n",
+              "      <td>0.996868</td>\n",
+              "      <td>3.157289</td>\n",
+              "      <td>0.491756</td>\n",
+              "      <td>9.534213</td>\n",
+              "      <td>5.552284</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>0.979711</td>\n",
+              "      <td>6.756792</td>\n",
+              "      <td>0.270313</td>\n",
+              "      <td>0.319831</td>\n",
+              "      <td>3.395186</td>\n",
+              "      <td>0.040214</td>\n",
+              "      <td>29.088893</td>\n",
+              "      <td>116.926926</td>\n",
+              "      <td>0.992065</td>\n",
+              "      <td>3.212404</td>\n",
+              "      <td>0.489931</td>\n",
+              "      <td>11.232874</td>\n",
+              "      <td>6.140303</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
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+              "\n",
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+              "      }\n",
+              "\n",
+              "      [theme=dark] .colab-df-generate:hover {\n",
+              "        background-color: #434B5C;\n",
+              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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+              "    </style>\n",
+              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('cluster_means')\"\n",
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+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "cluster_means",
+              "summary": "{\n  \"name\": \"cluster_means\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"cluster\",\n      \"properties\": {\n        \"dtype\": \"int32\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0,\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"type\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5413856523547264,\n        \"min\": 0.051266213712168,\n        \"max\": 0.9979695431472081,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.051266213712168,\n          0.9979695431472081,\n          0.9797111416781293\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fixed acidity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8554529200668135,\n        \"min\": 6.756791609353508,\n        \"max\": 8.334465719579988,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          8.334465719579988,\n          6.972385786802031,\n          6.756791609353508\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"volatile acidity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1477350849208891,\n        \"min\": 0.27031292984869326,\n        \"max\": 0.5325478690549722,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.5325478690549722,\n          0.28352538071065986,\n          0.27031292984869326\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"citric acid\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.04157988918377014,\n        \"min\": 0.27218653489808525,\n        \"max\": 0.35503553299492385,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.27218653489808525,\n          0.35503553299492385,\n          0.3198314993122421\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"residual sugar\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.5530232562912145,\n        \"min\": 2.5639592340951207,\n        \"max\": 10.83271573604061,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          2.5639592340951207,\n          10.83271573604061,\n          3.3951856946354884\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"chlorides\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.025035531030649205,\n        \"min\": 0.04021354883081155,\n        \"max\": 0.08846016059295862,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.08846016059295862,\n          0.05273807106598985,\n          0.04021354883081155\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"free sulfur dioxide\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.613826347012788,\n        \"min\": 15.663372452130945,\n        \"max\": 44.85964467005076,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          15.663372452130945,\n          44.85964467005076,\n          29.088892709766164\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total sulfur dioxide\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 60.37129182907511,\n        \"min\": 48.70660901791229,\n        \"max\": 169.09289340101523,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          48.70660901791229,\n          169.09289340101523,\n          116.92692572214581\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"density\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.002747935706875337,\n        \"min\": 0.9920653748280605,\n        \"max\": 0.9968681725888325,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.9967804941321804,\n          0.9968681725888325,\n          0.9920653748280605\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pH\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.07407236891324769,\n        \"min\": 3.1572893401015225,\n        \"max\": 3.3039345274861023,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          3.3039345274861023,\n          3.1572893401015225,\n          3.21240371389271\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sulphates\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.09396878038833813,\n        \"min\": 0.4899312242090784,\n        \"max\": 0.6535948116121063,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.6535948116121063,\n          0.491756345177665,\n          0.4899312242090784\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8499820111428624,\n        \"min\": 9.53421319797208,\n        \"max\": 11.232873681789203,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          10.325900761785052,\n          9.53421319797208,\n          11.232873681789203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"quality\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.33618161132863533,\n        \"min\": 5.552284263959391,\n        \"max\": 6.140302613480055,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          5.563928350833848,\n          5.552284263959391,\n          6.140302613480055\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(\"\\nRed/White Wine distribution across clusters:\")\n",
+        "print(pd.crosstab(df['cluster'], df['type']))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "72hJxLDcqNF-",
+        "outputId": "83f88c98-148c-48f3-b7f2-26b11d94566f"
+      },
+      "execution_count": 120,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\n",
+            "Red/White Wine distribution across clusters:\n",
+            "type        0     1\n",
+            "cluster            \n",
+            "0        1536    83\n",
+            "1           4  1966\n",
+            "2          59  2849\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Create a dictionary for a new wine"
+      ],
+      "metadata": {
+        "id": "8PeoRTuNkBuU"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "new_wine_data = {\n",
+        "    'fixed acidity': [2.4],\n",
+        "    'volatile acidity': [0.7],\n",
+        "    'citric acid': [0.0],\n",
+        "    'residual sugar': [1.9],\n",
+        "    'chlorides': [0.076],\n",
+        "    'free sulfur dioxide': [11.0],\n",
+        "    'total sulfur dioxide': [34.0],\n",
+        "    'density': [0.9978],\n",
+        "    'pH': [6.51],\n",
+        "    'sulphates': [0.56],\n",
+        "    'alcohol': [9.4],\n",
+        "    'quality': [5]\n",
+        "\n",
+        "}"
+      ],
+      "metadata": {
+        "id": "7PHeQwyxj_0B"
+      },
+      "execution_count": 121,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Convert to a DataFrame"
+      ],
+      "metadata": {
+        "id": "3qWb6epOriIh"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "new_wine_df = pd.DataFrame(new_wine_data)"
+      ],
+      "metadata": {
+        "id": "YyDJ0IFXkesk"
+      },
+      "execution_count": 122,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Scale the new data using the ALREADY FITTED scaler"
+      ],
+      "metadata": {
+        "id": "YZUYHW1NlLvC"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "new_wine_scaled = scaler.transform(new_wine_df)\n"
+      ],
+      "metadata": {
+        "id": "yiFLsOm0kQ1l"
+      },
+      "execution_count": 123,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Predict the cluster"
+      ],
+      "metadata": {
+        "id": "MjMVc2xhlTNz"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "predicted_cluster = kmeans.predict(new_wine_scaled)\n",
+        "\n",
+        "print(f\"The new wine belongs to Cluster: {predicted_cluster[0]}\")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "4ea5E4RclBIr",
+        "outputId": "e839bbaf-6e32-4b1d-baaf-a36de0aecc79"
+      },
+      "execution_count": 124,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "The new wine belongs to Cluster: 0\n"
+          ]
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file