EDA ON beer_servings_MS.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        " PROJECT DONE BY MAUZUM SHAMIL"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Oj3fC5zNOeV_"
      },
      "source": [
        "# Data prepocessing and data cleaning"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KBdIsRPmOFCC"
      },
      "source": [
        "# clearing missing value"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "OL0eHKRqOMrR"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 478
        },
        "id": "3n3t-UHjO1zD",
        "outputId": "5ebd1e9f-9e40-4cda-8b2a-a9cc5a988744"
      },
      "outputs": [
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            "text/plain": [
              "     Unnamed: 0      country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0             0  Afghanistan            0.0              0.0            0.0   \n",
              "1             1      Albania           89.0            132.0           54.0   \n",
              "2             2      Algeria           25.0              0.0           14.0   \n",
              "3             3      Andorra          245.0            138.0          312.0   \n",
              "4             4       Angola          217.0             57.0           45.0   \n",
              "..          ...          ...            ...              ...            ...   \n",
              "188         188    Venezuela            NaN            100.0            3.0   \n",
              "189         189      Vietnam          111.0              2.0            1.0   \n",
              "190         190        Yemen            6.0              0.0            0.0   \n",
              "191         191       Zambia           32.0             19.0            4.0   \n",
              "192         192     Zimbabwe           64.0             18.0            4.0   \n",
              "\n",
              "     total_litres_of_pure_alcohol      continent  \n",
              "0                             0.0           Asia  \n",
              "1                             4.9         Europe  \n",
              "2                             0.7         Africa  \n",
              "3                            12.4         Europe  \n",
              "4                             5.9         Africa  \n",
              "..                            ...            ...  \n",
              "188                           7.7  South America  \n",
              "189                           2.0           Asia  \n",
              "190                           0.1           Asia  \n",
              "191                           2.5         Africa  \n",
              "192                           4.7         Africa  \n",
              "\n",
              "[193 rows x 7 columns]"
            ]
          },
          "execution_count": 2,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df = pd.read_csv('beer-servings.csv')\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
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      "metadata": {
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        "id": "HlpVMpEaPoyf",
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              "\n",
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              "  </div>\n"
            ],
            "text/plain": [
              "   Unnamed: 0      country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0           0  Afghanistan            0.0              0.0            0.0   \n",
              "1           1      Albania           89.0            132.0           54.0   \n",
              "2           2      Algeria           25.0              0.0           14.0   \n",
              "3           3      Andorra          245.0            138.0          312.0   \n",
              "4           4       Angola          217.0             57.0           45.0   \n",
              "\n",
              "   total_litres_of_pure_alcohol continent  \n",
              "0                           0.0      Asia  \n",
              "1                           4.9    Europe  \n",
              "2                           0.7    Africa  \n",
              "3                          12.4    Europe  \n",
              "4                           5.9    Africa  "
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aABKwNhePuCG",
        "outputId": "9579eb8d-ba06-4348-9f6e-6e54b3e3c86c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 193 entries, 0 to 192\n",
            "Data columns (total 7 columns):\n",
            " #   Column                        Non-Null Count  Dtype  \n",
            "---  ------                        --------------  -----  \n",
            " 0   Unnamed: 0                    193 non-null    int64  \n",
            " 1   country                       193 non-null    object \n",
            " 2   beer_servings                 185 non-null    float64\n",
            " 3   spirit_servings               185 non-null    float64\n",
            " 4   wine_servings                 187 non-null    float64\n",
            " 5   total_litres_of_pure_alcohol  192 non-null    float64\n",
            " 6   continent                     193 non-null    object \n",
            "dtypes: float64(4), int64(1), object(2)\n",
            "memory usage: 10.7+ KB\n"
          ]
        }
      ],
      "source": [
        "df.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "_kobSV6PPxKu"
      },
      "outputs": [],
      "source": [
        "df.drop('Unnamed: 0',axis=1,inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "id": "Hhx2sYjvP-Vs",
        "outputId": "5c34999b-9c2b-4670-8ce0-7b8327c188dd"
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              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>beer_servings</th>\n",
              "      <th>spirit_servings</th>\n",
              "      <th>wine_servings</th>\n",
              "      <th>total_litres_of_pure_alcohol</th>\n",
              "      <th>continent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Asia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Albania</td>\n",
              "      <td>89.0</td>\n",
              "      <td>132.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>4.9</td>\n",
              "      <td>Europe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algeria</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>0.7</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Andorra</td>\n",
              "      <td>245.0</td>\n",
              "      <td>138.0</td>\n",
              "      <td>312.0</td>\n",
              "      <td>12.4</td>\n",
              "      <td>Europe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Angola</td>\n",
              "      <td>217.0</td>\n",
              "      <td>57.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>5.9</td>\n",
              "      <td>Africa</td>\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    border-radius: 50%;\n",
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              "  }\n",
              "\n",
              "  .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",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    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-a3ee70d1-5523-454b-95b3-49172cee18b1 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "       country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0  Afghanistan            0.0              0.0            0.0   \n",
              "1      Albania           89.0            132.0           54.0   \n",
              "2      Algeria           25.0              0.0           14.0   \n",
              "3      Andorra          245.0            138.0          312.0   \n",
              "4       Angola          217.0             57.0           45.0   \n",
              "\n",
              "   total_litres_of_pure_alcohol continent  \n",
              "0                           0.0      Asia  \n",
              "1                           4.9    Europe  \n",
              "2                           0.7    Africa  \n",
              "3                          12.4    Europe  \n",
              "4                           5.9    Africa  "
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Iidtx0NRQBAd",
        "outputId": "ba3b5fa6-8c13-4dec-8a17-5eda53107210"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 193 entries, 0 to 192\n",
            "Data columns (total 6 columns):\n",
            " #   Column                        Non-Null Count  Dtype  \n",
            "---  ------                        --------------  -----  \n",
            " 0   country                       193 non-null    object \n",
            " 1   beer_servings                 185 non-null    float64\n",
            " 2   spirit_servings               185 non-null    float64\n",
            " 3   wine_servings                 187 non-null    float64\n",
            " 4   total_litres_of_pure_alcohol  192 non-null    float64\n",
            " 5   continent                     193 non-null    object \n",
            "dtypes: float64(4), object(2)\n",
            "memory usage: 9.2+ KB\n"
          ]
        }
      ],
      "source": [
        "df.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "74e1HgHPQJQZ",
        "outputId": "853f60b6-6137-4eaa-85a7-244a70a8dc4f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "country                          object\n",
              "beer_servings                   float64\n",
              "spirit_servings                 float64\n",
              "wine_servings                   float64\n",
              "total_litres_of_pure_alcohol    float64\n",
              "continent                        object\n",
              "dtype: object"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.dtypes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-2ovFR4-QO8e",
        "outputId": "9bc78fab-4cbb-4a87-8410-098a5bbe85d6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "country                         0\n",
              "beer_servings                   8\n",
              "spirit_servings                 8\n",
              "wine_servings                   6\n",
              "total_litres_of_pure_alcohol    1\n",
              "continent                       0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.isna().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "ZQZcXEr_QVw5",
        "outputId": "2b93d3e3-32f6-45e8-d67e-13b563bc46a3"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"null_df\",\n  \"rows\": 193,\n  \"fields\": [\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 100.52471415085762,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 126,\n        \"samples\": [\n          98.0,\n          173.0,\n          36.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 89.14295777720804,\n        \"min\": 0.0,\n        \"max\": 438.0,\n        \"num_unique_values\": 106,\n        \"samples\": [\n          237.0,\n          176.0,\n          128.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 80.35886783413324,\n        \"min\": 0.0,\n        \"max\": 370.0,\n        \"num_unique_values\": 78,\n        \"samples\": [\n          59.0,\n          0.0,\n          97.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_litres_of_pure_alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.7676541972542092,\n        \"min\": 0.0,\n        \"max\": 14.4,\n        \"num_unique_values\": 90,\n        \"samples\": [\n          0.5,\n          4.3,\n          1.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "null_df"
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              "\n",
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              "      <td>45.0</td>\n",
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              "    <tr>\n",
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              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>193 rows × 4 columns</p>\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",
              "      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-13487365-6081-480d-be97-24c6f7d9fb48 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-13487365-6081-480d-be97-24c6f7d9fb48');\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-c0e0eeed-1fb3-4719-91d3-a87d126455d5\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c0e0eeed-1fb3-4719-91d3-a87d126455d5')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c0e0eeed-1fb3-4719-91d3-a87d126455d5 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_a4149584-1371-42ca-8387-56b7ee4972bb\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\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",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('null_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_a4149584-1371-42ca-8387-56b7ee4972bb button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('null_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "     beer_servings  spirit_servings  wine_servings  \\\n",
              "0              0.0              0.0            0.0   \n",
              "1             89.0            132.0           54.0   \n",
              "2             25.0              0.0           14.0   \n",
              "3            245.0            138.0          312.0   \n",
              "4            217.0             57.0           45.0   \n",
              "..             ...              ...            ...   \n",
              "188            NaN            100.0            3.0   \n",
              "189          111.0              2.0            1.0   \n",
              "190            6.0              0.0            0.0   \n",
              "191           32.0             19.0            4.0   \n",
              "192           64.0             18.0            4.0   \n",
              "\n",
              "     total_litres_of_pure_alcohol  \n",
              "0                             0.0  \n",
              "1                             4.9  \n",
              "2                             0.7  \n",
              "3                            12.4  \n",
              "4                             5.9  \n",
              "..                            ...  \n",
              "188                           7.7  \n",
              "189                           2.0  \n",
              "190                           0.1  \n",
              "191                           2.5  \n",
              "192                           4.7  \n",
              "\n",
              "[193 rows x 4 columns]"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "null_df=df.select_dtypes(include=['float'])\n",
        "null_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kMb-PNi6RZbE",
        "outputId": "f3b763e6-4c91-41c1-c677-53ba5517382a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Index(['country', 'beer_servings', 'spirit_servings', 'wine_servings',\n",
              "       'total_litres_of_pure_alcohol', 'continent'],\n",
              "      dtype='object')"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 350
        },
        "id": "KdrKt36MRe8f",
        "outputId": "095fb99f-ebf0-403a-b5fe-9f9d1fc69185"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[<Axes: title={'center': 'beer_servings'}>,\n",
              "        <Axes: title={'center': 'spirit_servings'}>],\n",
              "       [<Axes: title={'center': 'wine_servings'}>,\n",
              "        <Axes: title={'center': 'total_litres_of_pure_alcohol'}>]],\n",
              "      dtype=object)"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 2000x600 with 4 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "null_df.hist(figsize=(20,6))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dNoOm0ZVS3Bu"
      },
      "source": [
        "its have skewness so its median for allcolumns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "079KTQHxSqq7",
        "outputId": "c648005e-bd16-4b22-e8e1-e417e4a7d5f5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0       0.0\n",
              "1       4.9\n",
              "2       0.7\n",
              "3      12.4\n",
              "4       5.9\n",
              "       ... \n",
              "188     7.7\n",
              "189     2.0\n",
              "190     0.1\n",
              "191     2.5\n",
              "192     4.7\n",
              "Name: total_litres_of_pure_alcohol, Length: 193, dtype: float64"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "for i in ['beer_servings', 'spirit_servings', 'wine_servings','total_litres_of_pure_alcohol']:\n",
        "  df[i]=df[i].fillna(df[i].median())\n",
        "df[i]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wEcqO5WCTXX9",
        "outputId": "3f74406b-fe66-4f5e-daf6-53566b6d36c5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "country                         0\n",
              "beer_servings                   0\n",
              "spirit_servings                 0\n",
              "wine_servings                   0\n",
              "total_litres_of_pure_alcohol    0\n",
              "continent                       0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.isnull().sum()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zpzgKUQVTq12"
      },
      "source": [
        "# outlier detection and removing"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3pMiXE8CTufQ",
        "outputId": "745fccdc-51eb-4bb6-9e95-25ec3cd32169"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Index(['country', 'beer_servings', 'spirit_servings', 'wine_servings',\n",
              "       'total_litres_of_pure_alcohol', 'continent'],\n",
              "      dtype='object')"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        },
        "id": "8MPGAzZ1WNic",
        "outputId": "b4996ea1-7772-4f06-b314-97ff59c63c4a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'whiskers': [<matplotlib.lines.Line2D at 0x7937ffc0c520>,\n",
              "  <matplotlib.lines.Line2D at 0x7937ffc0c7c0>],\n",
              " 'caps': [<matplotlib.lines.Line2D at 0x7937ffc0ca60>,\n",
              "  <matplotlib.lines.Line2D at 0x7937ffc0cd30>],\n",
              " 'boxes': [<matplotlib.lines.Line2D at 0x7937ffc0c280>],\n",
              " 'medians': [<matplotlib.lines.Line2D at 0x7937ffc0cfd0>],\n",
              " 'fliers': [<matplotlib.lines.Line2D at 0x7937ffc0d270>],\n",
              " 'means': []}"
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 2000x600 with 4 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.subplots(2,2,figsize=(20,6))\n",
        "plt.subplot(2,2,1)\n",
        "plt.boxplot(df['beer_servings'])\n",
        "plt.subplot(2,2,2)\n",
        "plt.boxplot(df['spirit_servings'])\n",
        "plt.title('spirit')\n",
        "plt.subplot(2,2,3)\n",
        "plt.boxplot(df['wine_servings'])\n",
        "plt.title('wine')\n",
        "plt.subplot(2,2,4)\n",
        "plt.boxplot(df['total_litres_of_pure_alcohol'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Mzse7zfHXfvI",
        "outputId": "d8069b9b-b35a-4115-d8cc-787ff725265f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "5.0\n",
            "60.0\n",
            "128.0\n"
          ]
        }
      ],
      "source": [
        "Q1 = np.percentile(df['spirit_servings'],25,interpolation='midpoint')\n",
        "Q2 = np.percentile(df['spirit_servings'],50,interpolation='midpoint')\n",
        "Q3 = np.percentile(df['spirit_servings'],75,interpolation='midpoint')\n",
        "\n",
        "print(Q1)\n",
        "print(Q2)\n",
        "print(Q3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DyRT8EZNYWAg",
        "outputId": "7d0a8ed2-58c4-4479-c063-d1e8f75aee4c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "123.0"
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "IQR=Q3-Q1\n",
        "IQR"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X5EZlE6XYc_P",
        "outputId": "b5652858-6566-4e92-8d6c-47e9ed8f2779"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "-179.5\n",
            "312.5\n"
          ]
        }
      ],
      "source": [
        "upperlimit=Q3+1.5*IQR\n",
        "lowerlimit=Q1-1.5*IQR\n",
        "\n",
        "print(lowerlimit)\n",
        "print(upperlimit)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1_aKv4reY2zA",
        "outputId": "92e2acff-e995-46f6-cfe7-17b846b3c093"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[373.0, 438.0, 326.0, 326.0, 315.0]"
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "outlier=[]\n",
        "for x in df['spirit_servings']:\n",
        "  if ((x>upperlimit) or (x<lowerlimit)):\n",
        "    outlier.append(x)\n",
        "outlier"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ku477w9jZu9H",
        "outputId": "ee9a5e7a-1e6d-4172-bd3a-0d4ce0cff1e6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0      False\n",
            "1      False\n",
            "2      False\n",
            "3      False\n",
            "4      False\n",
            "       ...  \n",
            "188    False\n",
            "189    False\n",
            "190    False\n",
            "191    False\n",
            "192    False\n",
            "Name: spirit_servings, Length: 193, dtype: bool\n"
          ]
        }
      ],
      "source": [
        "out = df['spirit_servings']>upperlimit\n",
        "print(out)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "UV7P5OpvZ-vT",
        "outputId": "bd626a0c-f4fe-4cac-c5f2-4a0633b39530"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"country\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Grenada\",\n          \"St. Lucia\",\n          \"Haiti\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 92.8654941299512,\n        \"min\": 1.0,\n        \"max\": 247.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          199.0,\n          171.0,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 51.218160841638976,\n        \"min\": 315.0,\n        \"max\": 438.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          438.0,\n          315.0,\n          373.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 30.306764921383476,\n        \"min\": 1.0,\n        \"max\": 73.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          28.0,\n          71.0,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_litres_of_pure_alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.1285779517218364,\n        \"min\": 5.9,\n        \"max\": 14.4,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          11.9,\n          10.1,\n          5.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Europe\",\n          \"North America\",\n          \"Asia\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-a5c7ec1c-1de3-4b81-b506-531954da33da\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "        vertical-align: top;\n",
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              "\n",
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              "</style>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>beer_servings</th>\n",
              "      <th>spirit_servings</th>\n",
              "      <th>wine_servings</th>\n",
              "      <th>total_litres_of_pure_alcohol</th>\n",
              "      <th>continent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Belarus</td>\n",
              "      <td>142.0</td>\n",
              "      <td>373.0</td>\n",
              "      <td>42.0</td>\n",
              "      <td>14.4</td>\n",
              "      <td>Europe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68</th>\n",
              "      <td>Grenada</td>\n",
              "      <td>199.0</td>\n",
              "      <td>438.0</td>\n",
              "      <td>28.0</td>\n",
              "      <td>11.9</td>\n",
              "      <td>North America</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73</th>\n",
              "      <td>Haiti</td>\n",
              "      <td>1.0</td>\n",
              "      <td>326.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.9</td>\n",
              "      <td>North America</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>141</th>\n",
              "      <td>Russian Federation</td>\n",
              "      <td>247.0</td>\n",
              "      <td>326.0</td>\n",
              "      <td>73.0</td>\n",
              "      <td>11.5</td>\n",
              "      <td>Asia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>144</th>\n",
              "      <td>St. Lucia</td>\n",
              "      <td>171.0</td>\n",
              "      <td>315.0</td>\n",
              "      <td>71.0</td>\n",
              "      <td>10.1</td>\n",
              "      <td>North America</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "</div>\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",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\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-a5c7ec1c-1de3-4b81-b506-531954da33da 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-a5c7ec1c-1de3-4b81-b506-531954da33da');\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-ec3fed6c-ab1b-4d94-92c4-bdad34965fc2\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ec3fed6c-ab1b-4d94-92c4-bdad34965fc2')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\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",
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              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
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              "    }\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-ec3fed6c-ab1b-4d94-92c4-bdad34965fc2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                country  beer_servings  spirit_servings  wine_servings  \\\n",
              "15              Belarus          142.0            373.0           42.0   \n",
              "68              Grenada          199.0            438.0           28.0   \n",
              "73                Haiti            1.0            326.0            1.0   \n",
              "141  Russian Federation          247.0            326.0           73.0   \n",
              "144           St. Lucia          171.0            315.0           71.0   \n",
              "\n",
              "     total_litres_of_pure_alcohol      continent  \n",
              "15                           14.4         Europe  \n",
              "68                           11.9  North America  \n",
              "73                            5.9  North America  \n",
              "141                          11.5           Asia  \n",
              "144                          10.1  North America  "
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.loc[out]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EZLiz2nraGmL",
        "outputId": "2db60a88-32f8-4042-c128-f6019be01a10"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Int64Index([15, 68, 73, 141, 144], dtype='int64')"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.loc[out].index"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "-IgSyCcvaKig"
      },
      "outputs": [],
      "source": [
        "df.drop([15, 68, 73, 141, 144],inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 460
        },
        "id": "XIC7eV7waUdv",
        "outputId": "735d2149-0352-4930-d4f3-20b31a98d0ba"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 188,\n  \"fields\": [\n    {\n      \"column\": \"index\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 56,\n        \"min\": 0,\n        \"max\": 192,\n        \"num_unique_values\": 188,\n        \"samples\": [\n          188,\n          167,\n          19\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"country\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 188,\n        \"samples\": [\n          \"Venezuela\",\n          \"Syria\",\n          \"Bhutan\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 98.64052936522037,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 122,\n        \"samples\": [\n          173.0,\n          20.0,\n          127.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 75.72395613859749,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 102,\n        \"samples\": [\n          254.0,\n          189.0,\n          152.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 80.34363561490534,\n        \"min\": 0.0,\n        \"max\": 370.0,\n        \"num_unique_values\": 74,\n        \"samples\": [\n          45.0,\n          276.0,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_litres_of_pure_alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.6463295646449554,\n        \"min\": 0.0,\n        \"max\": 12.9,\n        \"num_unique_values\": 87,\n        \"samples\": [\n          9.6,\n          0.0,\n          8.2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"Asia\",\n          \"Europe\",\n          \"Oceania\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe"
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              "\n",
              "  <div id=\"df-a4464727-1ed8-4289-a339-129656786a08\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "    }\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>index</th>\n",
              "      <th>country</th>\n",
              "      <th>beer_servings</th>\n",
              "      <th>spirit_servings</th>\n",
              "      <th>wine_servings</th>\n",
              "      <th>total_litres_of_pure_alcohol</th>\n",
              "      <th>continent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Asia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>Albania</td>\n",
              "      <td>89.0</td>\n",
              "      <td>132.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>4.9</td>\n",
              "      <td>Europe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>0.7</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>Andorra</td>\n",
              "      <td>245.0</td>\n",
              "      <td>138.0</td>\n",
              "      <td>312.0</td>\n",
              "      <td>12.4</td>\n",
              "      <td>Europe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>Angola</td>\n",
              "      <td>217.0</td>\n",
              "      <td>57.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>5.9</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>183</th>\n",
              "      <td>188</td>\n",
              "      <td>Venezuela</td>\n",
              "      <td>76.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.7</td>\n",
              "      <td>South America</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>184</th>\n",
              "      <td>189</td>\n",
              "      <td>Vietnam</td>\n",
              "      <td>111.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>Asia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>190</td>\n",
              "      <td>Yemen</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.1</td>\n",
              "      <td>Asia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>191</td>\n",
              "      <td>Zambia</td>\n",
              "      <td>32.0</td>\n",
              "      <td>19.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.5</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>187</th>\n",
              "      <td>192</td>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>64.0</td>\n",
              "      <td>18.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.7</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>188 rows × 7 columns</p>\n",
              "</div>\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "    </g>\n",
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              "  </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",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    30% {\n",
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              "      border-top-color: var(--fill-color);\n",
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              "    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",
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              "      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-57b80019-6cd0-43a8-ab19-629aa9a8a1f1 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "     index      country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0        0  Afghanistan            0.0              0.0            0.0   \n",
              "1        1      Albania           89.0            132.0           54.0   \n",
              "2        2      Algeria           25.0              0.0           14.0   \n",
              "3        3      Andorra          245.0            138.0          312.0   \n",
              "4        4       Angola          217.0             57.0           45.0   \n",
              "..     ...          ...            ...              ...            ...   \n",
              "183    188    Venezuela           76.0            100.0            3.0   \n",
              "184    189      Vietnam          111.0              2.0            1.0   \n",
              "185    190        Yemen            6.0              0.0            0.0   \n",
              "186    191       Zambia           32.0             19.0            4.0   \n",
              "187    192     Zimbabwe           64.0             18.0            4.0   \n",
              "\n",
              "     total_litres_of_pure_alcohol      continent  \n",
              "0                             0.0           Asia  \n",
              "1                             4.9         Europe  \n",
              "2                             0.7         Africa  \n",
              "3                            12.4         Europe  \n",
              "4                             5.9         Africa  \n",
              "..                            ...            ...  \n",
              "183                           7.7  South America  \n",
              "184                           2.0           Asia  \n",
              "185                           0.1           Asia  \n",
              "186                           2.5         Africa  \n",
              "187                           4.7         Africa  \n",
              "\n",
              "[188 rows x 7 columns]"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.reset_index()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 574
        },
        "id": "QZNqFD4VaiXU",
        "outputId": "49486529-90dc-4469-f376-1f1153fcd3b5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'whiskers': [<matplotlib.lines.Line2D at 0x7937ffad42b0>,\n",
              "  <matplotlib.lines.Line2D at 0x7937ffad4550>],\n",
              " 'caps': [<matplotlib.lines.Line2D at 0x7937ffad47f0>,\n",
              "  <matplotlib.lines.Line2D at 0x7937ffad4970>],\n",
              " 'boxes': [<matplotlib.lines.Line2D at 0x7937ffca7fd0>],\n",
              " 'medians': [<matplotlib.lines.Line2D at 0x7937ffad4c10>],\n",
              " 'fliers': [<matplotlib.lines.Line2D at 0x7937ffad4eb0>],\n",
              " 'means': []}"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.boxplot(df['spirit_servings'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 163
        },
        "id": "H3jJzuYZatMM",
        "outputId": "0586dcb7-e325-4c50-8939-b78ac2c127df"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 188,\n  \"fields\": [\n    {\n      \"column\": \"country\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 188,\n        \"samples\": [\n          \"Venezuela\",\n          \"Syria\",\n          \"Bhutan\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 98.64052936522037,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 122,\n        \"samples\": [\n          173.0,\n          20.0,\n          127.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 75.72395613859749,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 102,\n        \"samples\": [\n          254.0,\n          189.0,\n          152.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 80.34363561490534,\n        \"min\": 0.0,\n        \"max\": 370.0,\n        \"num_unique_values\": 74,\n        \"samples\": [\n          45.0,\n          276.0,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_litres_of_pure_alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.6463295646449554,\n        \"min\": 0.0,\n        \"max\": 12.9,\n        \"num_unique_values\": 87,\n        \"samples\": [\n          9.6,\n          0.0,\n          8.2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"Asia\",\n          \"Europe\",\n          \"Oceania\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "df"
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              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>beer_servings</th>\n",
              "      <th>spirit_servings</th>\n",
              "      <th>wine_servings</th>\n",
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              "      <th>continent</th>\n",
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              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Asia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Albania</td>\n",
              "      <td>89.0</td>\n",
              "      <td>132.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>4.9</td>\n",
              "      <td>Europe</td>\n",
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              "\n",
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              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
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              "  }\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
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              "      }\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "       country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0  Afghanistan            0.0              0.0            0.0   \n",
              "1      Albania           89.0            132.0           54.0   \n",
              "2      Algeria           25.0              0.0           14.0   \n",
              "\n",
              "   total_litres_of_pure_alcohol continent  \n",
              "0                           0.0      Asia  \n",
              "1                           4.9    Europe  \n",
              "2                           0.7    Africa  "
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dssglPOVbrXM",
        "outputId": "dade74f0-3d35-4703-f60e-5ea6c3d56b5c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1.0\n",
            "9.0\n",
            "57.5\n"
          ]
        }
      ],
      "source": [
        "Q1 = np.percentile(df['wine_servings'],25,interpolation='midpoint')\n",
        "Q2 = np.percentile(df['wine_servings'],50,interpolation='midpoint')\n",
        "Q3 = np.percentile(df['wine_servings'],75,interpolation='midpoint')\n",
        "\n",
        "print(Q1)\n",
        "print(Q2)\n",
        "print(Q3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G4uLQqP0b8gY",
        "outputId": "eeb9bc30-7b69-4b4a-d9a1-a50661de0d71"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "56.5"
            ]
          },
          "execution_count": 29,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "IQR = Q3-Q1\n",
        "IQR"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "REvm_cXkcHd9",
        "outputId": "3c299649-104f-4d93-931a-cae3c6c7da8a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "-83.75\n",
            "142.25\n"
          ]
        }
      ],
      "source": [
        "upperlimit=Q3+1.5*IQR\n",
        "lowerlimit=Q1-1.5*IQR\n",
        "\n",
        "print(lowerlimit)\n",
        "print(upperlimit)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bOauRwYWcJli",
        "outputId": "4cf105b6-56f7-471c-fc00-11280b55b74d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[179.0,\n",
              " 176.0,\n",
              " 173.0,\n",
              " 173.0,\n",
              " 145.0,\n",
              " 252.0,\n",
              " 192.0,\n",
              " 254.0,\n",
              " 154.0,\n",
              " 170.0,\n",
              " 286.0,\n",
              " 147.0,\n",
              " 194.0,\n",
              " 151.0,\n",
              " 302.0,\n",
              " 215.0,\n",
              " 202.0,\n",
              " 246.0,\n",
              " 216.0,\n",
              " 152.0,\n",
              " 244.0,\n",
              " 189.0,\n",
              " 200.0,\n",
              " 160.0,\n",
              " 186.0,\n",
              " 215.0,\n",
              " 226.0,\n",
              " 205.0,\n",
              " 221.0,\n",
              " 293.0,\n",
              " 157.0,\n",
              " 178.0,\n",
              " 258.0,\n",
              " 156.0,\n",
              " 237.0,\n",
              " 158.0]"
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "outlier=[]\n",
        "for y in df['spirit_servings']:\n",
        "  if ((y>upperlimit) or (y<lowerlimit)):\n",
        "    outlier.append(y)\n",
        "outlier"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "id": "at8URNI4cT0P"
      },
      "outputs": [],
      "source": [
        "out2 = df['wine_servings']>upperlimit"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9P0Ye1lbccL0",
        "outputId": "b64c095b-51bd-4621-f2ed-a7fe2a20cf24"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Int64Index([  3,   6,   8,   9,  16,  35,  42,  48,  55,  61,  64,  65,  67,\n",
              "             75,  81,  83,  99, 120, 121, 136, 140, 156, 165, 166, 182, 185],\n",
              "           dtype='int64')"
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.loc[out2].index"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "id": "GlXY-Bm6ciUS"
      },
      "outputs": [],
      "source": [
        "df.drop([  3,   6,   8,   9,  16,  35,  42,  48,  55,  61,  64,  65,  67,\n",
        "         75,  81,  83,  99, 120, 121, 136, 140, 156, 165, 166, 182, 185],inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 274
        },
        "id": "RqI-IWQScvmA",
        "outputId": "243ed4f8-ecc6-43de-b392-71b303be2473"
      },
      "outputs": [
        {
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              "\n",
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              "\n",
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              "    async function quickchart(key) {\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "             country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0        Afghanistan            0.0              0.0            0.0   \n",
              "1            Albania           89.0            132.0           54.0   \n",
              "2            Algeria           25.0              0.0           14.0   \n",
              "4             Angola          217.0             57.0           45.0   \n",
              "5  Antigua & Barbuda          102.0            128.0           45.0   \n",
              "7            Armenia           21.0            179.0           11.0   \n",
              "\n",
              "   total_litres_of_pure_alcohol      continent  \n",
              "0                           0.0           Asia  \n",
              "1                           4.9         Europe  \n",
              "2                           0.7         Africa  \n",
              "4                           5.9         Africa  \n",
              "5                           4.9  North America  \n",
              "7                           3.8         Europe  "
            ]
          },
          "execution_count": 35,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head(6)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 478
        },
        "id": "J1UTqti9d7t0",
        "outputId": "5dedc1c9-dc7e-4fee-9ea7-bc08a1c84db2"
      },
      "outputs": [
        {
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              "      <th>3</th>\n",
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              "      <td>Angola</td>\n",
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              "      <th>157</th>\n",
              "      <td>188</td>\n",
              "      <td>Venezuela</td>\n",
              "      <td>76.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>7.7</td>\n",
              "      <td>South America</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>158</th>\n",
              "      <td>189</td>\n",
              "      <td>Vietnam</td>\n",
              "      <td>111.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>Asia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>159</th>\n",
              "      <td>190</td>\n",
              "      <td>Yemen</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.1</td>\n",
              "      <td>Asia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>160</th>\n",
              "      <td>191</td>\n",
              "      <td>Zambia</td>\n",
              "      <td>32.0</td>\n",
              "      <td>19.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.5</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>161</th>\n",
              "      <td>192</td>\n",
              "      <td>Zimbabwe</td>\n",
              "      <td>64.0</td>\n",
              "      <td>18.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.7</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>162 rows × 7 columns</p>\n",
              "</div>\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "\n",
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              "  .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .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",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    60% {\n",
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              "      border-right-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f3e34a2a-4cd6-4e8a-b73b-692302b906c6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "     index            country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0        0        Afghanistan            0.0              0.0            0.0   \n",
              "1        1            Albania           89.0            132.0           54.0   \n",
              "2        2            Algeria           25.0              0.0           14.0   \n",
              "3        4             Angola          217.0             57.0           45.0   \n",
              "4        5  Antigua & Barbuda          102.0            128.0           45.0   \n",
              "..     ...                ...            ...              ...            ...   \n",
              "157    188          Venezuela           76.0            100.0            3.0   \n",
              "158    189            Vietnam          111.0              2.0            1.0   \n",
              "159    190              Yemen            6.0              0.0            0.0   \n",
              "160    191             Zambia           32.0             19.0            4.0   \n",
              "161    192           Zimbabwe           64.0             18.0            4.0   \n",
              "\n",
              "     total_litres_of_pure_alcohol      continent  \n",
              "0                             0.0           Asia  \n",
              "1                             4.9         Europe  \n",
              "2                             0.7         Africa  \n",
              "3                             5.9         Africa  \n",
              "4                             4.9  North America  \n",
              "..                            ...            ...  \n",
              "157                           7.7  South America  \n",
              "158                           2.0           Asia  \n",
              "159                           0.1           Asia  \n",
              "160                           2.5         Africa  \n",
              "161                           4.7         Africa  \n",
              "\n",
              "[162 rows x 7 columns]"
            ]
          },
          "execution_count": 36,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.reset_index()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WcJuOnhN9RQy"
      },
      "source": [
        "# Encoding\n",
        "machine learning model does not take categorical values so encoding required\n",
        "\n",
        "\n",
        "*   one hot encoding\n",
        "*   label encoding\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9rxTXqC__6yM"
      },
      "source": [
        "one hot encoding"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jOuxpsXR97yt",
        "outputId": "9facf603-47c8-44c0-8352-4e5e622ebea0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(162, 6)"
            ]
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LhST10J5-NXQ",
        "outputId": "ae09e63c-9771-4e7a-afd8-aeace4308d99"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "country                          object\n",
              "beer_servings                   float64\n",
              "spirit_servings                 float64\n",
              "wine_servings                   float64\n",
              "total_litres_of_pure_alcohol    float64\n",
              "continent                        object\n",
              "dtype: object"
            ]
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.dtypes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 243
        },
        "id": "jKgMcu8i-yW7",
        "outputId": "726943a9-841e-4435-857e-340d7d9ec350"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"country\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 162,\n        \"samples\": [\n          \"Vietnam\",\n          \"Papua New Guinea\",\n          \"Somalia\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 91.96391106612599,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          196.0,\n          343.0,\n          188.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 79.30598072232561,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          34.0,\n          50.0,\n          286.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33.33147280291882,\n        \"min\": 0.0,\n        \"max\": 134.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          16.0,\n          23.0,\n          6.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_litres_of_pure_alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2019232973218403,\n        \"min\": 0.0,\n        \"max\": 12.9,\n        \"num_unique_values\": 76,\n        \"samples\": [\n          3.8,\n          10.0,\n          1.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"Asia\",\n          \"Europe\",\n          \"Oceania\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "df"
            },
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              "\n",
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              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>beer_servings</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Albania</td>\n",
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              "\n",
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              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
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              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
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              "        document.querySelector('#df-54f56385-f30b-450e-b216-0c9f3dcaf617 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-54f56385-f30b-450e-b216-0c9f3dcaf617');\n",
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              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "\n",
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              "            title=\"Suggest charts\"\n",
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              "\n",
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              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-946122c5-37e1-4c77-9944-22b899597c4f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "             country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0        Afghanistan            0.0              0.0            0.0   \n",
              "1            Albania           89.0            132.0           54.0   \n",
              "2            Algeria           25.0              0.0           14.0   \n",
              "4             Angola          217.0             57.0           45.0   \n",
              "5  Antigua & Barbuda          102.0            128.0           45.0   \n",
              "\n",
              "   total_litres_of_pure_alcohol      continent  \n",
              "0                           0.0           Asia  \n",
              "1                           4.9         Europe  \n",
              "2                           0.7         Africa  \n",
              "4                           5.9         Africa  \n",
              "5                           4.9  North America  "
            ]
          },
          "execution_count": 44,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "id": "f__bZPcC-PPB"
      },
      "outputs": [],
      "source": [
        "df1=pd.get_dummies(df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cHRxSs4I-QWG",
        "outputId": "f58df6dd-f37b-4cc0-f00f-dc7553c8dedd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(162, 172)"
            ]
          },
          "execution_count": 41,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df1.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9P8_nZbj-hfW",
        "outputId": "b2966e9b-93e8-450b-c685-793ad3bce6fd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "162"
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.country.nunique()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AIR7sj---7Es",
        "outputId": "0e57b190-616d-4be0-ef69-2323249f599e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "6"
            ]
          },
          "execution_count": 45,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.continent.nunique()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "id": "YHL1NER7_CrI"
      },
      "outputs": [],
      "source": [
        "df2=df.drop('country',axis=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 400
        },
        "id": "MeMo8N6E_nGA",
        "outputId": "375e5811-d8eb-40a3-a5fb-a100b628de40"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df2\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 91.96391106612599,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          196.0,\n          343.0,\n          188.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 79.30598072232561,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          34.0,\n          50.0,\n          286.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33.33147280291882,\n        \"min\": 0.0,\n        \"max\": 134.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          16.0,\n          23.0,\n          6.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_litres_of_pure_alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2019232973218403,\n        \"min\": 0.0,\n        \"max\": 12.9,\n        \"num_unique_values\": 76,\n        \"samples\": [\n          3.8,\n          10.0,\n          1.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent_Africa\",\n      \"properties\": {\n        \"dtype\": \"uint8\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent_Asia\",\n      \"properties\": {\n        \"dtype\": \"uint8\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent_Europe\",\n      \"properties\": {\n        \"dtype\": \"uint8\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent_North America\",\n      \"properties\": {\n        \"dtype\": \"uint8\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent_Oceania\",\n      \"properties\": {\n        \"dtype\": \"uint8\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent_South America\",\n      \"properties\": {\n        \"dtype\": \"uint8\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "df2"
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              "\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-a95d5f7d-452a-4df2-a62e-da641431f023 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-a95d5f7d-452a-4df2-a62e-da641431f023');\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-f5209719-4ca2-417c-bae1-a37b9efd4243\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f5209719-4ca2-417c-bae1-a37b9efd4243')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f5209719-4ca2-417c-bae1-a37b9efd4243 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "    beer_servings  spirit_servings  wine_servings  \\\n",
              "0             0.0              0.0            0.0   \n",
              "1            89.0            132.0           54.0   \n",
              "2            25.0              0.0           14.0   \n",
              "4           217.0             57.0           45.0   \n",
              "5           102.0            128.0           45.0   \n",
              "7            21.0            179.0           11.0   \n",
              "10           21.0             46.0            5.0   \n",
              "11          122.0            176.0           51.0   \n",
              "12           42.0             63.0            7.0   \n",
              "13           76.0             60.0            9.0   \n",
              "\n",
              "    total_litres_of_pure_alcohol  continent_Africa  continent_Asia  \\\n",
              "0                           0.00                 0               1   \n",
              "1                           4.90                 0               0   \n",
              "2                           0.70                 1               0   \n",
              "4                           5.90                 1               0   \n",
              "5                           4.90                 0               0   \n",
              "7                           3.80                 0               0   \n",
              "10                          1.30                 0               0   \n",
              "11                          6.30                 0               0   \n",
              "12                          2.00                 0               1   \n",
              "13                          4.25                 0               1   \n",
              "\n",
              "    continent_Europe  continent_North America  continent_Oceania  \\\n",
              "0                  0                        0                  0   \n",
              "1                  1                        0                  0   \n",
              "2                  0                        0                  0   \n",
              "4                  0                        0                  0   \n",
              "5                  0                        1                  0   \n",
              "7                  1                        0                  0   \n",
              "10                 1                        0                  0   \n",
              "11                 0                        1                  0   \n",
              "12                 0                        0                  0   \n",
              "13                 0                        0                  0   \n",
              "\n",
              "    continent_South America  \n",
              "0                         0  \n",
              "1                         0  \n",
              "2                         0  \n",
              "4                         0  \n",
              "5                         0  \n",
              "7                         0  \n",
              "10                        0  \n",
              "11                        0  \n",
              "12                        0  \n",
              "13                        0  "
            ]
          },
          "execution_count": 50,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df2=pd.get_dummies(df2)\n",
        "df2.head(10)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Wt7d5y74__E9"
      },
      "source": [
        "label encoding"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 243
        },
        "id": "Nf8wu3_sABDr",
        "outputId": "1d2048ed-0137-4ddb-be7e-27f6f7dc2e76"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"country\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 162,\n        \"samples\": [\n          \"Vietnam\",\n          \"Papua New Guinea\",\n          \"Somalia\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 91.96391106612599,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          196.0,\n          343.0,\n          188.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 79.30598072232561,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          34.0,\n          50.0,\n          286.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33.33147280291882,\n        \"min\": 0.0,\n        \"max\": 134.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          16.0,\n          23.0,\n          6.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_litres_of_pure_alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2019232973218403,\n        \"min\": 0.0,\n        \"max\": 12.9,\n        \"num_unique_values\": 76,\n        \"samples\": [\n          3.8,\n          10.0,\n          1.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"Asia\",\n          \"Europe\",\n          \"Oceania\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "df"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-df12d0ba-f7ab-4233-93ec-d1c346d83e49\" 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>country</th>\n",
              "      <th>beer_servings</th>\n",
              "      <th>spirit_servings</th>\n",
              "      <th>wine_servings</th>\n",
              "      <th>total_litres_of_pure_alcohol</th>\n",
              "      <th>continent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Asia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Albania</td>\n",
              "      <td>89.0</td>\n",
              "      <td>132.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>4.9</td>\n",
              "      <td>Europe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algeria</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>0.7</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Angola</td>\n",
              "      <td>217.0</td>\n",
              "      <td>57.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>5.9</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Antigua &amp; Barbuda</td>\n",
              "      <td>102.0</td>\n",
              "      <td>128.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>4.9</td>\n",
              "      <td>North America</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-df12d0ba-f7ab-4233-93ec-d1c346d83e49')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-df12d0ba-f7ab-4233-93ec-d1c346d83e49 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-df12d0ba-f7ab-4233-93ec-d1c346d83e49');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "\n",
              "\n",
              "<div id=\"df-41dd719e-a350-41dd-80b8-d6841791e38f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-41dd719e-a350-41dd-80b8-d6841791e38f')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-41dd719e-a350-41dd-80b8-d6841791e38f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "             country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0        Afghanistan            0.0              0.0            0.0   \n",
              "1            Albania           89.0            132.0           54.0   \n",
              "2            Algeria           25.0              0.0           14.0   \n",
              "4             Angola          217.0             57.0           45.0   \n",
              "5  Antigua & Barbuda          102.0            128.0           45.0   \n",
              "\n",
              "   total_litres_of_pure_alcohol      continent  \n",
              "0                           0.0           Asia  \n",
              "1                           4.9         Europe  \n",
              "2                           0.7         Africa  \n",
              "4                           5.9         Africa  \n",
              "5                           4.9  North America  "
            ]
          },
          "execution_count": 51,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {
        "id": "8INO4DKGAGU6"
      },
      "outputs": [],
      "source": [
        "from sklearn.preprocessing import LabelEncoder"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "metadata": {
        "id": "kS4N1JPvAfjJ"
      },
      "outputs": [],
      "source": [
        "le=LabelEncoder()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 55,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 243
        },
        "id": "imzOZkkfAmgN",
        "outputId": "d164491a-8cbf-48d2-9547-969f1f823f05"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"country\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 162,\n        \"samples\": [\n          \"Vietnam\",\n          \"Papua New Guinea\",\n          \"Somalia\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 91.96391106612599,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          196.0,\n          343.0,\n          188.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 79.30598072232561,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          34.0,\n          50.0,\n          286.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33.33147280291882,\n        \"min\": 0.0,\n        \"max\": 134.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          16.0,\n          23.0,\n          6.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_litres_of_pure_alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2019232973218403,\n        \"min\": 0.0,\n        \"max\": 12.9,\n        \"num_unique_values\": 76,\n        \"samples\": [\n          3.8,\n          10.0,\n          1.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"Asia\",\n          \"Europe\",\n          \"Oceania\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "df"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-4b6c5b84-4a50-47b9-a5d6-1cc065cd4932\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>beer_servings</th>\n",
              "      <th>spirit_servings</th>\n",
              "      <th>wine_servings</th>\n",
              "      <th>total_litres_of_pure_alcohol</th>\n",
              "      <th>continent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Asia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Albania</td>\n",
              "      <td>89.0</td>\n",
              "      <td>132.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>4.9</td>\n",
              "      <td>Europe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algeria</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>0.7</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Angola</td>\n",
              "      <td>217.0</td>\n",
              "      <td>57.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>5.9</td>\n",
              "      <td>Africa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Antigua &amp; Barbuda</td>\n",
              "      <td>102.0</td>\n",
              "      <td>128.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>4.9</td>\n",
              "      <td>North America</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-4b6c5b84-4a50-47b9-a5d6-1cc065cd4932')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-4b6c5b84-4a50-47b9-a5d6-1cc065cd4932 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-4b6c5b84-4a50-47b9-a5d6-1cc065cd4932');\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-f7ba1475-8c9f-4279-9d4a-f84de31193a5\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f7ba1475-8c9f-4279-9d4a-f84de31193a5')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f7ba1475-8c9f-4279-9d4a-f84de31193a5 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "             country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0        Afghanistan            0.0              0.0            0.0   \n",
              "1            Albania           89.0            132.0           54.0   \n",
              "2            Algeria           25.0              0.0           14.0   \n",
              "4             Angola          217.0             57.0           45.0   \n",
              "5  Antigua & Barbuda          102.0            128.0           45.0   \n",
              "\n",
              "   total_litres_of_pure_alcohol      continent  \n",
              "0                           0.0           Asia  \n",
              "1                           4.9         Europe  \n",
              "2                           0.7         Africa  \n",
              "4                           5.9         Africa  \n",
              "5                           4.9  North America  "
            ]
          },
          "execution_count": 55,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 57,
      "metadata": {
        "id": "9iXD0vNrBE0u"
      },
      "outputs": [],
      "source": [
        "df['continent']=le.fit_transform(df['continent'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 58,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 243
        },
        "id": "fJhWm7RXBkDY",
        "outputId": "e9931775-2d10-4143-bccc-17df93328aba"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Antigua &amp; Barbuda</td>\n",
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              "      <td>45.0</td>\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "        element.innerHTML = '';\n",
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              "\n",
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              "    box-shadow: none;\n",
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              "\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        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-a1c17169-488e-4bc8-b7cc-c6a3da6c88ad button');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "             country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0        Afghanistan            0.0              0.0            0.0   \n",
              "1            Albania           89.0            132.0           54.0   \n",
              "2            Algeria           25.0              0.0           14.0   \n",
              "4             Angola          217.0             57.0           45.0   \n",
              "5  Antigua & Barbuda          102.0            128.0           45.0   \n",
              "\n",
              "   total_litres_of_pure_alcohol  continent  \n",
              "0                           0.0          1  \n",
              "1                           4.9          2  \n",
              "2                           0.7          0  \n",
              "4                           5.9          0  \n",
              "5                           4.9          3  "
            ]
          },
          "execution_count": 58,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SurILoysBqD7"
      },
      "source": [
        "# scaling\n",
        "scaling only done for features ie values used for predicting,scaling not done on target columns\n",
        "\n",
        "*   minmax scaling\n",
        "*   standard scaling\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eJbQh5OaESGG"
      },
      "source": [
        "minmax scaling"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 61,
      "metadata": {
        "id": "Iou3HAHoCALz"
      },
      "outputs": [],
      "source": [
        "x = df.drop('total_litres_of_pure_alcohol',axis=1)\n",
        "y = df['total_litres_of_pure_alcohol']\n",
        "z = df['continent']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "CyRtUao7DlaW",
        "outputId": "975828f0-525b-41c5-9776-9c78a526407d"
      },
      "outputs": [
        {
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              "summary": "{\n  \"name\": \"x\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"country\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 162,\n        \"samples\": [\n          \"Vietnam\",\n          \"Papua New Guinea\",\n          \"Somalia\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 91.96391106612599,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          196.0,\n          343.0,\n          188.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 79.30598072232561,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          34.0,\n          50.0,\n          286.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33.33147280291882,\n        \"min\": 0.0,\n        \"max\": 134.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          16.0,\n          23.0,\n          6.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 5,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          1,\n          2,\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
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              "    .colab-df-convert {\n",
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              "      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-6306c183-d172-4c9e-9611-18efb6c0885f 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-6306c183-d172-4c9e-9611-18efb6c0885f');\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-394f907c-4d65-4371-9308-8056a363b2fb\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-394f907c-4d65-4371-9308-8056a363b2fb')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-394f907c-4d65-4371-9308-8056a363b2fb button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "             country  beer_servings  spirit_servings  wine_servings  continent\n",
              "0        Afghanistan            0.0              0.0            0.0          1\n",
              "1            Albania           89.0            132.0           54.0          2\n",
              "2            Algeria           25.0              0.0           14.0          0\n",
              "4             Angola          217.0             57.0           45.0          0\n",
              "5  Antigua & Barbuda          102.0            128.0           45.0          3"
            ]
          },
          "execution_count": 62,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 63,
      "metadata": {
        "id": "ti76Qg5DDszZ"
      },
      "outputs": [],
      "source": [
        "x = x.drop('country',axis=1)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FjBvfubCEFaW"
      },
      "source": [
        "scaling is not done on encoded columns,so removing continent columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "metadata": {
        "id": "2j3GkWvcEIMx"
      },
      "outputs": [],
      "source": [
        "x = x.drop('continent',axis=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 106,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 362
        },
        "id": "_5jlpYD5EcMP",
        "outputId": "ab051fec-175c-4f96-e485-5fe608a3c3b3"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"x\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 91.96391106612599,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          196.0,\n          343.0,\n          188.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 79.30598072232561,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          34.0,\n          50.0,\n          286.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33.33147280291882,\n        \"min\": 0.0,\n        \"max\": 134.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          16.0,\n          23.0,\n          6.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
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              "<style scoped>\n",
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              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0166cd57-0887-415e-ac12-999612f175d2')\"\n",
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              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "      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",
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              "\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-0166cd57-0887-415e-ac12-999612f175d2 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-0166cd57-0887-415e-ac12-999612f175d2');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-bca27c50-34cf-490b-b5c8-686e50c22bf1')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\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",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
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              "\n",
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              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
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              "    display: none;\n",
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              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      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",
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              "  }\n",
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              "\n",
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              "      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",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-bca27c50-34cf-490b-b5c8-686e50c22bf1 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "    beer_servings  spirit_servings  wine_servings\n",
              "0             0.0              0.0            0.0\n",
              "1            89.0            132.0           54.0\n",
              "2            25.0              0.0           14.0\n",
              "4           217.0             57.0           45.0\n",
              "5           102.0            128.0           45.0\n",
              "7            21.0            179.0           11.0\n",
              "10           21.0             46.0            5.0\n",
              "11          122.0            176.0           51.0\n",
              "12           42.0             63.0            7.0\n",
              "13           76.0             60.0            9.0"
            ]
          },
          "execution_count": 106,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 115,
      "metadata": {
        "id": "KCmrz3gTLzuc"
      },
      "outputs": [],
      "source": [
        "x.drop('level_0',axis=1,inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 117,
      "metadata": {
        "id": "Sg2xwKBZMNyi"
      },
      "outputs": [],
      "source": [
        "x.drop('index',axis=1,inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 119,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 362
        },
        "id": "kqSr4cDvMZDt",
        "outputId": "51db7982-d9c3-4f8a-e0cb-8c9e153c386e"
      },
      "outputs": [
        {
          "data": {
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              "summary": "{\n  \"name\": \"x\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 91.96391106612599,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          196.0,\n          343.0,\n          188.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 79.30598072232561,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          34.0,\n          50.0,\n          286.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33.33147280291882,\n        \"min\": 0.0,\n        \"max\": 134.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          16.0,\n          23.0,\n          6.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
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              "        document.querySelector('#df-7d4eebe3-4f7c-40b6-9698-ac3af8c52400 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-7d4eebe3-4f7c-40b6-9698-ac3af8c52400');\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "\n",
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              "\n",
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              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    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-3fd979df-195b-456e-9f07-381718d0489f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "   beer_servings  spirit_servings  wine_servings\n",
              "0            0.0              0.0            0.0\n",
              "1           89.0            132.0           54.0\n",
              "2           25.0              0.0           14.0\n",
              "3          217.0             57.0           45.0\n",
              "4          102.0            128.0           45.0\n",
              "5           21.0            179.0           11.0\n",
              "6           21.0             46.0            5.0\n",
              "7          122.0            176.0           51.0\n",
              "8           42.0             63.0            7.0\n",
              "9           76.0             60.0            9.0"
            ]
          },
          "execution_count": 119,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 120,
      "metadata": {
        "id": "aYVU_AtTVQ0V"
      },
      "outputs": [],
      "source": [
        "from sklearn.preprocessing import MinMaxScaler\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 121,
      "metadata": {
        "id": "rApK5bySVein"
      },
      "outputs": [],
      "source": [
        "minmax = MinMaxScaler(feature_range=(0,1))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 122,
      "metadata": {
        "id": "RiWrBBdhV2je"
      },
      "outputs": [],
      "source": [
        "X1=minmax.fit_transform(x)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 124,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aDql0nKzWRoe",
        "outputId": "497537c8-6d37-49bb-8b1c-3132c60a2cb1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "numpy.ndarray"
            ]
          },
          "execution_count": 124,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "type(X1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 125,
      "metadata": {
        "id": "JFYOiqjpWTuK"
      },
      "outputs": [],
      "source": [
        "X1 = pd.DataFrame(X1,columns=['beer_servings', 'spirit_servings', 'wine_servings'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 127,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "N0GWssrsWnDm",
        "outputId": "0a0d079c-2846-41e2-acb5-075d4d228c60"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"X1\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 57.17530385173743,\n        \"min\": 0.0,\n        \"max\": 162.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.2302994483845548,\n          0.1449468085106383,\n          162.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 57.17278771677569,\n        \"min\": 0.0,\n        \"max\": 162.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.23920775079715478,\n          0.1423841059602649,\n          162.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 57.195657091611515,\n        \"min\": 0.0,\n        \"max\": 162.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.1537221300902893,\n          0.05223880597014925,\n          162.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe"
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              "\n",
              "  <div id=\"df-2f853042-4832-4642-b596-8fc3c1d8c74d\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "\n",
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              "        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>beer_servings</th>\n",
              "      <th>spirit_servings</th>\n",
              "      <th>wine_servings</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>162.000000</td>\n",
              "      <td>162.000000</td>\n",
              "      <td>162.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.230299</td>\n",
              "      <td>0.239208</td>\n",
              "      <td>0.153722</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.244585</td>\n",
              "      <td>0.262603</td>\n",
              "      <td>0.248742</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.045878</td>\n",
              "      <td>0.009934</td>\n",
              "      <td>0.007463</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.144947</td>\n",
              "      <td>0.142384</td>\n",
              "      <td>0.052239</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>0.337766</td>\n",
              "      <td>0.399834</td>\n",
              "      <td>0.139925</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</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-2f853042-4832-4642-b596-8fc3c1d8c74d')\"\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",
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              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-2f853042-4832-4642-b596-8fc3c1d8c74d 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-2f853042-4832-4642-b596-8fc3c1d8c74d');\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-d50f76df-b259-4d34-bd97-f9a540fb4999\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d50f76df-b259-4d34-bd97-f9a540fb4999')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d50f76df-b259-4d34-bd97-f9a540fb4999 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "       beer_servings  spirit_servings  wine_servings\n",
              "count     162.000000       162.000000     162.000000\n",
              "mean        0.230299         0.239208       0.153722\n",
              "std         0.244585         0.262603       0.248742\n",
              "min         0.000000         0.000000       0.000000\n",
              "25%         0.045878         0.009934       0.007463\n",
              "50%         0.144947         0.142384       0.052239\n",
              "75%         0.337766         0.399834       0.139925\n",
              "max         1.000000         1.000000       1.000000"
            ]
          },
          "execution_count": 127,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X1.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 132,
      "metadata": {
        "id": "cgFIQW0HWu-G"
      },
      "outputs": [],
      "source": [
        "X2=pd.concat([X1,z,y],axis=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 133,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "w-s1NB9cX4YF",
        "outputId": "595e5df0-11d6-4e9b-dbf8-e688f0f63e97"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"X2\",\n  \"rows\": 189,\n  \"fields\": [\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.24458486985671807,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          0.5212765957446809,\n          0.9122340425531915,\n          0.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2626025851732636,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          0.11258278145695365,\n          0.16556291390728478,\n          0.9470198675496688\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.24874233435014045,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          0.11940298507462686,\n          0.17164179104477612,\n          0.04477611940298507\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.5282027766981954,\n        \"min\": 0.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          1.0,\n          2.0,\n          4.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_litres_of_pure_alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2019232973218408,\n        \"min\": 0.0,\n        \"max\": 12.9,\n        \"num_unique_values\": 76,\n        \"samples\": [\n          3.8,\n          10.0,\n          1.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "X2"
            },
            "text/html": [
              "\n",
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              "<style scoped>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>beer_servings</th>\n",
              "      <th>spirit_servings</th>\n",
              "      <th>wine_servings</th>\n",
              "      <th>continent</th>\n",
              "      <th>total_litres_of_pure_alcohol</th>\n",
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              "      <th>0</th>\n",
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              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.236702</td>\n",
              "      <td>0.437086</td>\n",
              "      <td>0.402985</td>\n",
              "      <td>2.0</td>\n",
              "      <td>4.9</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.066489</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.7</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.577128</td>\n",
              "      <td>0.188742</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-8509d444-d622-40db-902c-91ab2408e3e5');\n",
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              "          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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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c0cf9189-3f0a-4231-a6f1-cf081d18c3f1 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "   beer_servings  spirit_servings  wine_servings  continent  \\\n",
              "0       0.000000         0.000000       0.000000        1.0   \n",
              "1       0.236702         0.437086       0.402985        2.0   \n",
              "2       0.066489         0.000000       0.104478        0.0   \n",
              "3       0.577128         0.188742       0.335821        NaN   \n",
              "4       0.271277         0.423841       0.335821        0.0   \n",
              "\n",
              "   total_litres_of_pure_alcohol  \n",
              "0                           0.0  \n",
              "1                           4.9  \n",
              "2                           0.7  \n",
              "3                           NaN  \n",
              "4                           5.9  "
            ]
          },
          "execution_count": 133,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X2.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aNfM-2t7YA9G"
      },
      "source": [
        " standard scaling"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 136,
      "metadata": {
        "id": "S3l1JRYoYE4t"
      },
      "outputs": [],
      "source": [
        "df.reset_index(inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 137,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 362
        },
        "id": "TM44CdWiYqWL",
        "outputId": "8d72f234-c258-4d0a-bc3a-49c4870f36e0"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"index\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 55,\n        \"min\": 0,\n        \"max\": 192,\n        \"num_unique_values\": 162,\n        \"samples\": [\n          189,\n          131,\n          158\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"country\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 162,\n        \"samples\": [\n          \"Vietnam\",\n          \"Papua New Guinea\",\n          \"Somalia\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 91.96391106612599,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          196.0,\n          343.0,\n          188.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 79.30598072232561,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          34.0,\n          50.0,\n          286.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33.33147280291882,\n        \"min\": 0.0,\n        \"max\": 134.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          16.0,\n          23.0,\n          6.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_litres_of_pure_alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2019232973218403,\n        \"min\": 0.0,\n        \"max\": 12.9,\n        \"num_unique_values\": 76,\n        \"samples\": [\n          3.8,\n          10.0,\n          1.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 5,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          1,\n          2,\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "df"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-43c5a8d2-2509-483d-bbdf-2405bf1a9c1b\" 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>index</th>\n",
              "      <th>country</th>\n",
              "      <th>beer_servings</th>\n",
              "      <th>spirit_servings</th>\n",
              "      <th>wine_servings</th>\n",
              "      <th>total_litres_of_pure_alcohol</th>\n",
              "      <th>continent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>Albania</td>\n",
              "      <td>89.0</td>\n",
              "      <td>132.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>4.90</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>0.70</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>Angola</td>\n",
              "      <td>217.0</td>\n",
              "      <td>57.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>5.90</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>Antigua &amp; Barbuda</td>\n",
              "      <td>102.0</td>\n",
              "      <td>128.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>4.90</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>7</td>\n",
              "      <td>Armenia</td>\n",
              "      <td>21.0</td>\n",
              "      <td>179.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>3.80</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>10</td>\n",
              "      <td>Azerbaijan</td>\n",
              "      <td>21.0</td>\n",
              "      <td>46.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.30</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>11</td>\n",
              "      <td>Bahamas</td>\n",
              "      <td>122.0</td>\n",
              "      <td>176.0</td>\n",
              "      <td>51.0</td>\n",
              "      <td>6.30</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>12</td>\n",
              "      <td>Bahrain</td>\n",
              "      <td>42.0</td>\n",
              "      <td>63.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.00</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>13</td>\n",
              "      <td>Bangladesh</td>\n",
              "      <td>76.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.25</td>\n",
              "      <td>1</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-43c5a8d2-2509-483d-bbdf-2405bf1a9c1b')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-43c5a8d2-2509-483d-bbdf-2405bf1a9c1b 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-43c5a8d2-2509-483d-bbdf-2405bf1a9c1b');\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-a05cfb48-cf9e-4c31-9a1a-d7b275ca35f3\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a05cfb48-cf9e-4c31-9a1a-d7b275ca35f3')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a05cfb48-cf9e-4c31-9a1a-d7b275ca35f3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "   index            country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0      0        Afghanistan            0.0              0.0            0.0   \n",
              "1      1            Albania           89.0            132.0           54.0   \n",
              "2      2            Algeria           25.0              0.0           14.0   \n",
              "3      4             Angola          217.0             57.0           45.0   \n",
              "4      5  Antigua & Barbuda          102.0            128.0           45.0   \n",
              "5      7            Armenia           21.0            179.0           11.0   \n",
              "6     10         Azerbaijan           21.0             46.0            5.0   \n",
              "7     11            Bahamas          122.0            176.0           51.0   \n",
              "8     12            Bahrain           42.0             63.0            7.0   \n",
              "9     13         Bangladesh           76.0             60.0            9.0   \n",
              "\n",
              "   total_litres_of_pure_alcohol  continent  \n",
              "0                          0.00          1  \n",
              "1                          4.90          2  \n",
              "2                          0.70          0  \n",
              "3                          5.90          0  \n",
              "4                          4.90          3  \n",
              "5                          3.80          2  \n",
              "6                          1.30          2  \n",
              "7                          6.30          3  \n",
              "8                          2.00          1  \n",
              "9                          4.25          1  "
            ]
          },
          "execution_count": 137,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 138,
      "metadata": {
        "id": "M_7_lX7ZYuMU"
      },
      "outputs": [],
      "source": [
        "df.drop('index',axis=1,inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 140,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 362
        },
        "id": "zp-X-w9HY0B-",
        "outputId": "bfdef02b-f580-467c-897c-67f65cb8ce06"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"country\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 162,\n        \"samples\": [\n          \"Vietnam\",\n          \"Papua New Guinea\",\n          \"Somalia\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 91.96391106612599,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          196.0,\n          343.0,\n          188.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 79.30598072232561,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          34.0,\n          50.0,\n          286.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33.33147280291882,\n        \"min\": 0.0,\n        \"max\": 134.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          16.0,\n          23.0,\n          6.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_litres_of_pure_alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2019232973218403,\n        \"min\": 0.0,\n        \"max\": 12.9,\n        \"num_unique_values\": 76,\n        \"samples\": [\n          3.8,\n          10.0,\n          1.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 5,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          1,\n          2,\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "df"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-0664d424-1867-4847-9eb2-138e5f55bd72\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
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              "        vertical-align: middle;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>beer_servings</th>\n",
              "      <th>spirit_servings</th>\n",
              "      <th>wine_servings</th>\n",
              "      <th>total_litres_of_pure_alcohol</th>\n",
              "      <th>continent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Albania</td>\n",
              "      <td>89.0</td>\n",
              "      <td>132.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>4.90</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algeria</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>0.70</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Angola</td>\n",
              "      <td>217.0</td>\n",
              "      <td>57.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>5.90</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Antigua &amp; Barbuda</td>\n",
              "      <td>102.0</td>\n",
              "      <td>128.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>4.90</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Armenia</td>\n",
              "      <td>21.0</td>\n",
              "      <td>179.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>3.80</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Azerbaijan</td>\n",
              "      <td>21.0</td>\n",
              "      <td>46.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.30</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Bahamas</td>\n",
              "      <td>122.0</td>\n",
              "      <td>176.0</td>\n",
              "      <td>51.0</td>\n",
              "      <td>6.30</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Bahrain</td>\n",
              "      <td>42.0</td>\n",
              "      <td>63.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2.00</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Bangladesh</td>\n",
              "      <td>76.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.25</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "    </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",
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              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "\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-0664d424-1867-4847-9eb2-138e5f55bd72 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-0664d424-1867-4847-9eb2-138e5f55bd72');\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",
              "      }\n",
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              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-1148accb-5822-4116-bf6f-c3d7e0332b82\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1148accb-5822-4116-bf6f-c3d7e0332b82')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http:https://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",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
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              "    }\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-1148accb-5822-4116-bf6f-c3d7e0332b82 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "             country  beer_servings  spirit_servings  wine_servings  \\\n",
              "0        Afghanistan            0.0              0.0            0.0   \n",
              "1            Albania           89.0            132.0           54.0   \n",
              "2            Algeria           25.0              0.0           14.0   \n",
              "3             Angola          217.0             57.0           45.0   \n",
              "4  Antigua & Barbuda          102.0            128.0           45.0   \n",
              "5            Armenia           21.0            179.0           11.0   \n",
              "6         Azerbaijan           21.0             46.0            5.0   \n",
              "7            Bahamas          122.0            176.0           51.0   \n",
              "8            Bahrain           42.0             63.0            7.0   \n",
              "9         Bangladesh           76.0             60.0            9.0   \n",
              "\n",
              "   total_litres_of_pure_alcohol  continent  \n",
              "0                          0.00          1  \n",
              "1                          4.90          2  \n",
              "2                          0.70          0  \n",
              "3                          5.90          0  \n",
              "4                          4.90          3  \n",
              "5                          3.80          2  \n",
              "6                          1.30          2  \n",
              "7                          6.30          3  \n",
              "8                          2.00          1  \n",
              "9                          4.25          1  "
            ]
          },
          "execution_count": 140,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 141,
      "metadata": {
        "id": "SMbpBctbY4VP"
      },
      "outputs": [],
      "source": [
        "x=df.drop('total_litres_of_pure_alcohol',axis=1)\n",
        "y=df['total_litres_of_pure_alcohol']\n",
        "z=df['continent']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 142,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "PhOAkmaaaLMP",
        "outputId": "1f0073ea-afd9-4e35-ff8a-d6216529e8a1"
      },
      "outputs": [
        {
          "data": {
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              "summary": "{\n  \"name\": \"x\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"country\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 162,\n        \"samples\": [\n          \"Vietnam\",\n          \"Papua New Guinea\",\n          \"Somalia\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 91.96391106612599,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          196.0,\n          343.0,\n          188.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 79.30598072232561,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          34.0,\n          50.0,\n          286.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33.33147280291882,\n        \"min\": 0.0,\n        \"max\": 134.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          16.0,\n          23.0,\n          6.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 5,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          1,\n          2,\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
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              "      <th>beer_servings</th>\n",
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              "      <td>Angola</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
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              "      <td>102.0</td>\n",
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              "        document.querySelector('#df-48ed487b-f9c7-4841-83f7-82c700c46121 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-48ed487b-f9c7-4841-83f7-82c700c46121');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
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              "\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
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              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "\n",
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              "\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
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              "    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-d2b12a8e-b301-4081-86d1-a4c3a55ed9f8 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "             country  beer_servings  spirit_servings  wine_servings  continent\n",
              "0        Afghanistan            0.0              0.0            0.0          1\n",
              "1            Albania           89.0            132.0           54.0          2\n",
              "2            Algeria           25.0              0.0           14.0          0\n",
              "3             Angola          217.0             57.0           45.0          0\n",
              "4  Antigua & Barbuda          102.0            128.0           45.0          3"
            ]
          },
          "execution_count": 142,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 144,
      "metadata": {
        "id": "XzL0ot9xaOiK"
      },
      "outputs": [],
      "source": [
        "x= x.drop('country',axis=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 145,
      "metadata": {
        "id": "5QApXkuTaUZV"
      },
      "outputs": [],
      "source": [
        "x= x.drop('continent',axis=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 146,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "b_TpuLKqahiA",
        "outputId": "3a72dcaa-13f7-4620-f5a0-a8914153fb2c"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"x\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 91.96391106612599,\n        \"min\": 0.0,\n        \"max\": 376.0,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          196.0,\n          343.0,\n          188.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 79.30598072232561,\n        \"min\": 0.0,\n        \"max\": 302.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          34.0,\n          50.0,\n          286.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33.33147280291882,\n        \"min\": 0.0,\n        \"max\": 134.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          16.0,\n          23.0,\n          6.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
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              "    </tr>\n",
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              "      <th>3</th>\n",
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              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "\n",
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              "\n",
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              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-6d23eb12-e864-4454-b212-850e54b104bb 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-6d23eb12-e864-4454-b212-850e54b104bb');\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-0f3649a2-1b51-40bf-98fa-b5024f437aa2\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0f3649a2-1b51-40bf-98fa-b5024f437aa2')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-0f3649a2-1b51-40bf-98fa-b5024f437aa2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "   beer_servings  spirit_servings  wine_servings\n",
              "0            0.0              0.0            0.0\n",
              "1           89.0            132.0           54.0\n",
              "2           25.0              0.0           14.0\n",
              "3          217.0             57.0           45.0\n",
              "4          102.0            128.0           45.0"
            ]
          },
          "execution_count": 146,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 147,
      "metadata": {
        "id": "FdUr-_uoajf9"
      },
      "outputs": [],
      "source": [
        "from sklearn.preprocessing import StandardScaler"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 148,
      "metadata": {
        "id": "pAQ2MuohatxC"
      },
      "outputs": [],
      "source": [
        "stdsclr = StandardScaler()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 149,
      "metadata": {
        "id": "Y7UXZsq6a2Gj"
      },
      "outputs": [],
      "source": [
        "z1 = stdsclr.fit_transform(x)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 150,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tHKdAbhObIjh",
        "outputId": "5c87be61-0476-4a62-8cc2-10edd9530b5f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "numpy.ndarray"
            ]
          },
          "execution_count": 150,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "type(z1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 153,
      "metadata": {
        "id": "7rUJM0HybL5q"
      },
      "outputs": [],
      "source": [
        "z1 = pd.DataFrame(z1,columns=['beer_servings', 'spirit_servings', 'wine_servings'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 154,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "GHpPIDnEbhzJ",
        "outputId": "d7de06a0-58c9-4685-c34d-79b43dbcd3aa"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"z1\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.003100782635635,\n        \"min\": -0.9445128680708402,\n        \"max\": 3.1567252143308573,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          1.1933665578619597,\n          2.7967761273115594,\n          1.1061061731300088\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0031007826356353,\n        \"min\": -0.9137361762026018,\n        \"max\": 2.9061073412319094,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          -0.48368756827951115,\n          -0.281311752786292,\n          2.7037315257386902\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.003100782635635,\n        \"min\": -0.6199137328386137,\n        \"max\": 3.412776501641646,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          -0.13839848096037377,\n          0.07226444173635621,\n          -0.43934551338427374\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "z1"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-233297fb-f574-4c82-9470-5e2dd68f1eb6\" 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>beer_servings</th>\n",
              "      <th>spirit_servings</th>\n",
              "      <th>wine_servings</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-0.944513</td>\n",
              "      <td>-0.913736</td>\n",
              "      <td>-0.619914</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.026259</td>\n",
              "      <td>0.755864</td>\n",
              "      <td>1.005200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>-0.671824</td>\n",
              "      <td>-0.913736</td>\n",
              "      <td>-0.198588</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.422425</td>\n",
              "      <td>-0.192772</td>\n",
              "      <td>0.734348</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.168057</td>\n",
              "      <td>0.705270</td>\n",
              "      <td>0.734348</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>157</th>\n",
              "      <td>-0.115539</td>\n",
              "      <td>0.351113</td>\n",
              "      <td>-0.529630</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>158</th>\n",
              "      <td>0.266225</td>\n",
              "      <td>-0.888439</td>\n",
              "      <td>-0.589819</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>159</th>\n",
              "      <td>-0.879068</td>\n",
              "      <td>-0.913736</td>\n",
              "      <td>-0.619914</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>160</th>\n",
              "      <td>-0.595471</td>\n",
              "      <td>-0.673415</td>\n",
              "      <td>-0.499535</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>161</th>\n",
              "      <td>-0.246430</td>\n",
              "      <td>-0.686063</td>\n",
              "      <td>-0.499535</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>162 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-233297fb-f574-4c82-9470-5e2dd68f1eb6')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http:https://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-233297fb-f574-4c82-9470-5e2dd68f1eb6 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-233297fb-f574-4c82-9470-5e2dd68f1eb6');\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-7b462e84-22bb-443a-be5b-e7da791ba82e\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7b462e84-22bb-443a-be5b-e7da791ba82e')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7b462e84-22bb-443a-be5b-e7da791ba82e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_d504975d-cb63-4150-9293-3d63816ec557\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
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              "\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",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('z1')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http:https://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_d504975d-cb63-4150-9293-3d63816ec557 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('z1');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "     beer_servings  spirit_servings  wine_servings\n",
              "0        -0.944513        -0.913736      -0.619914\n",
              "1         0.026259         0.755864       1.005200\n",
              "2        -0.671824        -0.913736      -0.198588\n",
              "3         1.422425        -0.192772       0.734348\n",
              "4         0.168057         0.705270       0.734348\n",
              "..             ...              ...            ...\n",
              "157      -0.115539         0.351113      -0.529630\n",
              "158       0.266225        -0.888439      -0.589819\n",
              "159      -0.879068        -0.913736      -0.619914\n",
              "160      -0.595471        -0.673415      -0.499535\n",
              "161      -0.246430        -0.686063      -0.499535\n",
              "\n",
              "[162 rows x 3 columns]"
            ]
          },
          "execution_count": 154,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "z1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 155,
      "metadata": {
        "id": "Lhgp1lO1b4th"
      },
      "outputs": [],
      "source": [
        "z4=pd.concat([z1,y,z],axis=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 156,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "z60br56ocXqh",
        "outputId": "2d584b91-5a8b-47a9-ffbc-3d0ad1c577ea"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"z4\",\n  \"rows\": 162,\n  \"fields\": [\n    {\n      \"column\": \"beer_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.003100782635635,\n        \"min\": -0.9445128680708402,\n        \"max\": 3.1567252143308573,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          1.1933665578619597,\n          2.7967761273115594,\n          1.1061061731300088\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spirit_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0031007826356353,\n        \"min\": -0.9137361762026018,\n        \"max\": 2.9061073412319094,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          -0.48368756827951115,\n          -0.281311752786292,\n          2.7037315257386902\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wine_servings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.003100782635635,\n        \"min\": -0.6199137328386137,\n        \"max\": 3.412776501641646,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          -0.13839848096037377,\n          0.07226444173635621,\n          -0.43934551338427374\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_litres_of_pure_alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2019232973218403,\n        \"min\": 0.0,\n        \"max\": 12.9,\n        \"num_unique_values\": 76,\n        \"samples\": [\n          3.8,\n          10.0,\n          1.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"continent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 5,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          1,\n          2,\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "z4"
            },
            "text/html": [
              "\n",
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              "      <th></th>\n",
              "      <th>beer_servings</th>\n",
              "      <th>spirit_servings</th>\n",
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              "      <th>total_litres_of_pure_alcohol</th>\n",
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              "      <td>-0.913736</td>\n",
              "      <td>-0.198588</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0</td>\n",
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              "      <th>3</th>\n",
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              "    <tr>\n",
              "      <th>160</th>\n",
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              "<p>162 rows × 5 columns</p>\n",
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              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "\n",
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              "            title=\"Generate code using this dataframe.\"\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('z4');\n",
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              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "     beer_servings  spirit_servings  wine_servings  \\\n",
              "0        -0.944513        -0.913736      -0.619914   \n",
              "1         0.026259         0.755864       1.005200   \n",
              "2        -0.671824        -0.913736      -0.198588   \n",
              "3         1.422425        -0.192772       0.734348   \n",
              "4         0.168057         0.705270       0.734348   \n",
              "..             ...              ...            ...   \n",
              "157      -0.115539         0.351113      -0.529630   \n",
              "158       0.266225        -0.888439      -0.589819   \n",
              "159      -0.879068        -0.913736      -0.619914   \n",
              "160      -0.595471        -0.673415      -0.499535   \n",
              "161      -0.246430        -0.686063      -0.499535   \n",
              "\n",
              "     total_litres_of_pure_alcohol  continent  \n",
              "0                             0.0          1  \n",
              "1                             4.9          2  \n",
              "2                             0.7          0  \n",
              "3                             5.9          0  \n",
              "4                             4.9          3  \n",
              "..                            ...        ...  \n",
              "157                           7.7          5  \n",
              "158                           2.0          1  \n",
              "159                           0.1          1  \n",
              "160                           2.5          0  \n",
              "161                           4.7          0  \n",
              "\n",
              "[162 rows x 5 columns]"
            ]
          },
          "execution_count": 156,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "z4"
      ]
    }
  ],
  "metadata": {
    "colab": {
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    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
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    "language_info": {
      "name": "python"
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  "nbformat": 4,
  "nbformat_minor": 0
}