Data Cleaning and Exploration.ipynb

{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2845,"status":"ok","timestamp":1702896374035,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"},"user_tz":-345},"id":"FnL42sG8kTMP","outputId":"85ff64bd-92b8-4ab2-9c55-ebf45dfb8be6"},"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"]}],"source":[" # Mounting Google Drive for access to files\n","from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","source":["# get file id to share publically\n","!gdown --id 1TKct8oY3eYaX4-F1wFSQ3WXiAZOQt-5I"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"cVrWimeTF3NQ","executionInfo":{"status":"ok","timestamp":1702896375483,"user_tz":-345,"elapsed":1452,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"f27b6870-8a53-4e39-ee47-40a7c0f17e4d"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["/usr/local/lib/python3.10/dist-packages/gdown/cli.py:121: FutureWarning: Option `--id` was deprecated in version 4.3.1 and will be removed in 5.0. You don't need to pass it anymore to use a file ID.\n","  warnings.warn(\n","Downloading...\n","From: https://drive.google.com/uc?id=1TKct8oY3eYaX4-F1wFSQ3WXiAZOQt-5I\n","To: /content/cardio.csv\n","100% 2.94M/2.94M [00:00<00:00, 216MB/s]\n"]}]},{"cell_type":"markdown","metadata":{"id":"ibp8_-j1wpZz"},"source":["# Importing Libraries"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"uAU9XLxwkm9B"},"outputs":[],"source":["import pandas as pd  # Data manipulation and analysis\n","import numpy as np  # Numerical operations on arrays\n","import matplotlib.pyplot as plt  # Plotting functionality\n","import seaborn as sns  # Statistical data visualization\n","import plotly.express as px  # Interactive plotting"]},{"cell_type":"markdown","metadata":{"id":"GkH8Gmeaw1vn"},"source":["# About Dataset\n","\n","The dataset has been procured from the following source: https://www.kaggle.com/datasets/sulianova/cardiovascular-disease-dataset\n","\n","**Data description**\n","\n","There are 3 types of input features:\n","- *Objective*: Factual information;\n","- *Examination*: Results of medical examination;\n","- *Subjective*: Information given by the patient.\n","\n","Features:\n","- Age | Objective Feature | age | int (days)\n","- Height | Objective Feature | height | int (cm) |\n","- Weight | Objective Feature | weight | float (kg) |\n","- Gender | Objective Feature | gender | categorical code |\n","- Systolic blood pressure | Examination Feature | ap_hi | int |\n","- Diastolic blood pressure | Examination Feature | ap_lo | int |\n","- Cholesterol | Examination Feature | cholesterol | 1: normal, 2: above normal, 3: well above normal |\n","- Glucose | Examination Feature | gluc | 1: normal, 2: above normal, 3: well above normal |\n","- Smoking | Subjective Feature | smoke | binary |\n","- Alcohol intake | Subjective Feature | alco | binary |\n","- Physical activity | Subjective Feature | active | binary |\n","- Presence or absence of cardiovascular disease | Target Variable | cardio | binary |\n","\n","All of the dataset values were collected at the moment of medical examination.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"MFpwyrf6qYsp"},"outputs":[],"source":["# Loading dataset with ';' as the delimiter\n","\n","cardio = pd.read_csv('/content/cardio.csv', delimiter=';')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":19,"status":"ok","timestamp":1702896376749,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"},"user_tz":-345},"id":"PlPSoqzBqgJ0","outputId":"a051a3c9-bad2-4684-dc8f-fe7d1385db89"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["   id    age  gender  height  weight  ap_hi  ap_lo  cholesterol  gluc  smoke  \\\n","0   0  18393       2     168    62.0    110     80            1     1      0   \n","1   1  20228       1     156    85.0    140     90            3     1      0   \n","2   2  18857       1     165    64.0    130     70            3     1      0   \n","3   3  17623       2     169    82.0    150    100            1     1      0   \n","4   4  17474       1     156    56.0    100     60            1     1      0   \n","\n","   alco  active  cardio  \n","0     0       1       0  \n","1     0       1       1  \n","2     0       0       1  \n","3     0       1       1  \n","4     0       0       0  "],"text/html":["\n","  <div id=\"df-eab9c92e-bf6a-4508-8464-7e0a798fff3d\" 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>id</th>\n","      <th>age</th>\n","      <th>gender</th>\n","      <th>height</th>\n","      <th>weight</th>\n","      <th>ap_hi</th>\n","      <th>ap_lo</th>\n","      <th>cholesterol</th>\n","      <th>gluc</th>\n","      <th>smoke</th>\n","      <th>alco</th>\n","      <th>active</th>\n","      <th>cardio</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>18393</td>\n","      <td>2</td>\n","      <td>168</td>\n","      <td>62.0</td>\n","      <td>110</td>\n","      <td>80</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>20228</td>\n","      <td>1</td>\n","      <td>156</td>\n","      <td>85.0</td>\n","      <td>140</td>\n","      <td>90</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>18857</td>\n","      <td>1</td>\n","      <td>165</td>\n","      <td>64.0</td>\n","      <td>130</td>\n","      <td>70</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>17623</td>\n","      <td>2</td>\n","      <td>169</td>\n","      <td>82.0</td>\n","      <td>150</td>\n","      <td>100</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>17474</td>\n","      <td>1</td>\n","      <td>156</td>\n","      <td>56.0</td>\n","      <td>100</td>\n","      <td>60</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-eab9c92e-bf6a-4508-8464-7e0a798fff3d')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-eab9c92e-bf6a-4508-8464-7e0a798fff3d 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-eab9c92e-bf6a-4508-8464-7e0a798fff3d');\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-37c3bd15-46b8-4db6-b249-da0a59d9d4bf\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-37c3bd15-46b8-4db6-b249-da0a59d9d4bf')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <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-37c3bd15-46b8-4db6-b249-da0a59d9d4bf button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":5}],"source":["# Displaying the first five rows of the dataset\n","cardio.head()"]},{"cell_type":"code","source":["cardio.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"swdL1Bb7GFdf","executionInfo":{"status":"ok","timestamp":1702896376749,"user_tz":-345,"elapsed":18,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"4d8278c7-b396-49ee-f676-2ea0360f8be7"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(70000, 13)"]},"metadata":{},"execution_count":6}]},{"cell_type":"code","source":["cardio.drop(['id'], axis =1, inplace = True);"],"metadata":{"id":"pq0cgLUk2qnd"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":14,"status":"ok","timestamp":1702896376749,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"},"user_tz":-345},"id":"DGSueDPhrDY5","outputId":"de803554-cb94-4b0b-b905-82b5ed947194"},"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 70000 entries, 0 to 69999\n","Data columns (total 12 columns):\n"," #   Column       Non-Null Count  Dtype  \n","---  ------       --------------  -----  \n"," 0   age          70000 non-null  int64  \n"," 1   gender       70000 non-null  int64  \n"," 2   height       70000 non-null  int64  \n"," 3   weight       70000 non-null  float64\n"," 4   ap_hi        70000 non-null  int64  \n"," 5   ap_lo        70000 non-null  int64  \n"," 6   cholesterol  70000 non-null  int64  \n"," 7   gluc         70000 non-null  int64  \n"," 8   smoke        70000 non-null  int64  \n"," 9   alco         70000 non-null  int64  \n"," 10  active       70000 non-null  int64  \n"," 11  cardio       70000 non-null  int64  \n","dtypes: float64(1), int64(11)\n","memory usage: 6.4 MB\n","None\n"]}],"source":["# Displaying information about the dataset\n","print(cardio.info())"]},{"cell_type":"markdown","metadata":{"id":"LzUwm8pa2SYz"},"source":["# Data Cleaning"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":474,"status":"ok","timestamp":1702896377212,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"},"user_tz":-345},"id":"SfUwJyNoDgZ1","outputId":"5e4d530c-4adf-43b9-e289-1cc3cce8aa9b"},"outputs":[{"output_type":"stream","name":"stdout","text":["The count of missing values in columns is:\n"," age            0\n","gender         0\n","height         0\n","weight         0\n","ap_hi          0\n","ap_lo          0\n","cholesterol    0\n","gluc           0\n","smoke          0\n","alco           0\n","active         0\n","cardio         0\n","dtype: int64\n","\n","The count of duplicated values is:\n"," 24\n"]}],"source":["# check for missing value\n","print(\"The count of missing values in columns is:\\n\", cardio.isna().sum())\n","# check for duplicate value\n","print(\"\\nThe count of duplicated values is:\\n\", cardio.duplicated().sum())"]},{"cell_type":"markdown","source":["There are no missing values but there are duplicated values."],"metadata":{"id":"Tcv-mbwWQsFw"}},{"cell_type":"code","source":["cardio.drop_duplicates(inplace = True)"],"metadata":{"id":"ka5UInS4fuJL"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["*Age Conversion from Days to Years*"],"metadata":{"id":"HGhdXqBpyQO0"}},{"cell_type":"code","source":["# Converting age in days to years\n","cardio['age'] = cardio['age'].apply(lambda x: np.round(x/(365)))"],"metadata":{"id":"5xMTrqXhODvA"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["cardio['bmi'] = cardio['weight'] / (cardio['height'] / 100) ** 2\n","cardio['age_group'] = pd.cut(cardio['age'], bins=[0, 30, 45, 60, 100], labels=['young', 'middle-aged', 'senior', 'old'])\n","\n","def categorize_blood_pressure(row):\n","    if row['ap_hi'] < 90 and row['ap_lo'] < 60:\n","        return 'Hypotension'\n","    elif 90 <= row['ap_hi'] <= 120 and 60 <= row['ap_lo'] <= 80:\n","        return 'Normal'\n","    else:\n","        return 'Hypertension'\n","\n","cardio['bp_group'] = cardio.apply(categorize_blood_pressure, axis=1)"],"metadata":{"id":"RffdswqidiGs"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["from sklearn.preprocessing import OrdinalEncoder\n","\n","def apply_ordinal_encoding(df, columns_and_categories):\n","    for column, categories in columns_and_categories.items():\n","        encoder = OrdinalEncoder(categories=[categories])\n","        df[column] = encoder.fit_transform(df[[column]])\n","    return df\n","\n","columns_and_categories = {\n","    'age_group': ['young', 'middle-aged', 'senior', 'old'],\n","    'bp_group': ['Hypotension', 'Normal', 'Hypertension']\n","}\n","\n","# Apply ordinal encoding using the function\n","cardio = apply_ordinal_encoding(cardio.copy(), columns_and_categories)\n","cardio"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"id":"NXGObb7pg8wW","executionInfo":{"status":"ok","timestamp":1702896379254,"user_tz":-345,"elapsed":11,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"f3f55731-8fdc-4a60-946c-c1766f08c628"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["        age  gender  height  weight  ap_hi  ap_lo  cholesterol  gluc  smoke  \\\n","0      50.0       2     168    62.0    110     80            1     1      0   \n","1      55.0       1     156    85.0    140     90            3     1      0   \n","2      52.0       1     165    64.0    130     70            3     1      0   \n","3      48.0       2     169    82.0    150    100            1     1      0   \n","4      48.0       1     156    56.0    100     60            1     1      0   \n","...     ...     ...     ...     ...    ...    ...          ...   ...    ...   \n","69995  53.0       2     168    76.0    120     80            1     1      1   \n","69996  62.0       1     158   126.0    140     90            2     2      0   \n","69997  52.0       2     183   105.0    180     90            3     1      0   \n","69998  61.0       1     163    72.0    135     80            1     2      0   \n","69999  56.0       1     170    72.0    120     80            2     1      0   \n","\n","       alco  active  cardio        bmi  age_group  bp_group  \n","0         0       1       0  21.967120        2.0       1.0  \n","1         0       1       1  34.927679        2.0       2.0  \n","2         0       0       1  23.507805        2.0       2.0  \n","3         0       1       1  28.710479        2.0       2.0  \n","4         0       0       0  23.011177        2.0       1.0  \n","...     ...     ...     ...        ...        ...       ...  \n","69995     0       1       0  26.927438        2.0       1.0  \n","69996     0       1       1  50.472681        3.0       2.0  \n","69997     1       0       1  31.353579        2.0       2.0  \n","69998     0       0       1  27.099251        3.0       2.0  \n","69999     0       1       0  24.913495        2.0       1.0  \n","\n","[69976 rows x 15 columns]"],"text/html":["\n","  <div id=\"df-d00576c9-2152-4d36-8249-b028401ea80b\" 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>age</th>\n","      <th>gender</th>\n","      <th>height</th>\n","      <th>weight</th>\n","      <th>ap_hi</th>\n","      <th>ap_lo</th>\n","      <th>cholesterol</th>\n","      <th>gluc</th>\n","      <th>smoke</th>\n","      <th>alco</th>\n","      <th>active</th>\n","      <th>cardio</th>\n","      <th>bmi</th>\n","      <th>age_group</th>\n","      <th>bp_group</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>50.0</td>\n","      <td>2</td>\n","      <td>168</td>\n","      <td>62.0</td>\n","      <td>110</td>\n","      <td>80</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>21.967120</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>55.0</td>\n","      <td>1</td>\n","      <td>156</td>\n","      <td>85.0</td>\n","      <td>140</td>\n","      <td>90</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>34.927679</td>\n","      <td>2.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>52.0</td>\n","      <td>1</td>\n","      <td>165</td>\n","      <td>64.0</td>\n","      <td>130</td>\n","      <td>70</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>23.507805</td>\n","      <td>2.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>48.0</td>\n","      <td>2</td>\n","      <td>169</td>\n","      <td>82.0</td>\n","      <td>150</td>\n","      <td>100</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>28.710479</td>\n","      <td>2.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>48.0</td>\n","      <td>1</td>\n","      <td>156</td>\n","      <td>56.0</td>\n","      <td>100</td>\n","      <td>60</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>23.011177</td>\n","      <td>2.0</td>\n","      <td>1.0</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","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>69995</th>\n","      <td>53.0</td>\n","      <td>2</td>\n","      <td>168</td>\n","      <td>76.0</td>\n","      <td>120</td>\n","      <td>80</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>26.927438</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>69996</th>\n","      <td>62.0</td>\n","      <td>1</td>\n","      <td>158</td>\n","      <td>126.0</td>\n","      <td>140</td>\n","      <td>90</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>50.472681</td>\n","      <td>3.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>69997</th>\n","      <td>52.0</td>\n","      <td>2</td>\n","      <td>183</td>\n","      <td>105.0</td>\n","      <td>180</td>\n","      <td>90</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>31.353579</td>\n","      <td>2.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>69998</th>\n","      <td>61.0</td>\n","      <td>1</td>\n","      <td>163</td>\n","      <td>72.0</td>\n","      <td>135</td>\n","      <td>80</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>27.099251</td>\n","      <td>3.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>69999</th>\n","      <td>56.0</td>\n","      <td>1</td>\n","      <td>170</td>\n","      <td>72.0</td>\n","      <td>120</td>\n","      <td>80</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>24.913495</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>69976 rows × 15 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-d00576c9-2152-4d36-8249-b028401ea80b')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-d00576c9-2152-4d36-8249-b028401ea80b 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-d00576c9-2152-4d36-8249-b028401ea80b');\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-0dca4b62-ff6c-42ca-9141-aad8d6bd8c87\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0dca4b62-ff6c-42ca-9141-aad8d6bd8c87')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <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-0dca4b62-ff6c-42ca-9141-aad8d6bd8c87 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","  <div id=\"id_5a4c75fc-af50-4b68-8f95-fa5439a04849\">\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('cardio')\"\n","            title=\"Generate code using this dataframe.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <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_5a4c75fc-af50-4b68-8f95-fa5439a04849 button.colab-df-generate');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      buttonEl.onclick = () => {\n","        google.colab.notebook.generateWithVariable('cardio');\n","      }\n","      })();\n","    </script>\n","  </div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":13}]},{"cell_type":"markdown","source":["# Data Exploration v1"],"metadata":{"id":"JN1hisYGxEAJ"}},{"cell_type":"markdown","source":["## Numercial and Categorical Attributes"],"metadata":{"id":"NTaZhBgJwZNG"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"6ElThf5k1WMO"},"outputs":[],"source":["# Before feature engineering there are 5 numeric attributes and 7 categroical attributes out of 12 attributes\n","# numerical_columns = ['age', 'height', 'weight', 'ap_hi', 'ap_lo']\n","# categorical_columns = ['gender', 'cholesterol', 'gluc', 'smoke', 'alco', 'active', 'cardio']\n","\n","# After feature engineering thre are 6 numeric attributes and 9 categorcial attributes out of 15 attributes and 1 categorical attribute 'cardio' is target attribute\n","numerical_columns = ['age', 'height', 'weight', 'ap_hi', 'ap_lo', 'bmi']\n","categorical_columns = ['gender', 'cholesterol', 'gluc', 'smoke', 'alco', 'active', 'cardio', 'age_group', 'bp_group']\n","\n","numerical = cardio.loc[:, numerical_columns]\n","categorical = cardio.loc[:, categorical_columns]"]},{"cell_type":"markdown","source":["## Statistical Summary"],"metadata":{"id":"BL0mWQbEyERm"}},{"cell_type":"code","source":["# Statistical summary for all numerical attributes\n","stat_summary = numerical.describe()\n","stat_summary"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"id":"yVoL8Ip2sDVc","executionInfo":{"status":"ok","timestamp":1702896379255,"user_tz":-345,"elapsed":10,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"854e89ae-60b2-4323-9376-ca36a454d312"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                age        height        weight         ap_hi         ap_lo  \\\n","count  69976.000000  69976.000000  69976.000000  69976.000000  69976.000000   \n","mean      53.338945    164.359152     74.208519    128.820453     96.636261   \n","std        6.765633      8.211218     14.397211    154.037729    188.504581   \n","min       30.000000     55.000000     10.000000   -150.000000    -70.000000   \n","25%       48.000000    159.000000     65.000000    120.000000     80.000000   \n","50%       54.000000    165.000000     72.000000    120.000000     80.000000   \n","75%       58.000000    170.000000     82.000000    140.000000     90.000000   \n","max       65.000000    250.000000    200.000000  16020.000000  11000.000000   \n","\n","                bmi  \n","count  69976.000000  \n","mean      27.557610  \n","std        6.092210  \n","min        3.471784  \n","25%       23.875115  \n","50%       26.391837  \n","75%       30.222222  \n","max      298.666667  "],"text/html":["\n","  <div id=\"df-ca462664-c943-4a8d-899f-961684b400b2\" 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>age</th>\n","      <th>height</th>\n","      <th>weight</th>\n","      <th>ap_hi</th>\n","      <th>ap_lo</th>\n","      <th>bmi</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>69976.000000</td>\n","      <td>69976.000000</td>\n","      <td>69976.000000</td>\n","      <td>69976.000000</td>\n","      <td>69976.000000</td>\n","      <td>69976.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>53.338945</td>\n","      <td>164.359152</td>\n","      <td>74.208519</td>\n","      <td>128.820453</td>\n","      <td>96.636261</td>\n","      <td>27.557610</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>6.765633</td>\n","      <td>8.211218</td>\n","      <td>14.397211</td>\n","      <td>154.037729</td>\n","      <td>188.504581</td>\n","      <td>6.092210</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>30.000000</td>\n","      <td>55.000000</td>\n","      <td>10.000000</td>\n","      <td>-150.000000</td>\n","      <td>-70.000000</td>\n","      <td>3.471784</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>48.000000</td>\n","      <td>159.000000</td>\n","      <td>65.000000</td>\n","      <td>120.000000</td>\n","      <td>80.000000</td>\n","      <td>23.875115</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>54.000000</td>\n","      <td>165.000000</td>\n","      <td>72.000000</td>\n","      <td>120.000000</td>\n","      <td>80.000000</td>\n","      <td>26.391837</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>58.000000</td>\n","      <td>170.000000</td>\n","      <td>82.000000</td>\n","      <td>140.000000</td>\n","      <td>90.000000</td>\n","      <td>30.222222</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>65.000000</td>\n","      <td>250.000000</td>\n","      <td>200.000000</td>\n","      <td>16020.000000</td>\n","      <td>11000.000000</td>\n","      <td>298.666667</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-ca462664-c943-4a8d-899f-961684b400b2')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-ca462664-c943-4a8d-899f-961684b400b2 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-ca462664-c943-4a8d-899f-961684b400b2');\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-8c79ab38-b9a1-428f-bbf6-44db8a3d9950\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8c79ab38-b9a1-428f-bbf6-44db8a3d9950')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <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-8c79ab38-b9a1-428f-bbf6-44db8a3d9950 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","  <div id=\"id_df03d340-bae6-4a16-8e0e-7585e3f8a97a\">\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('stat_summary')\"\n","            title=\"Generate code using this dataframe.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <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_df03d340-bae6-4a16-8e0e-7585e3f8a97a button.colab-df-generate');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      buttonEl.onclick = () => {\n","        google.colab.notebook.generateWithVariable('stat_summary');\n","      }\n","      })();\n","    </script>\n","  </div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":15}]},{"cell_type":"markdown","source":["Outliers\n","\n","1. The minimum weight is 10 and the minimum height is 55 but the  minimum age in all instances is 30.\n","2. ap_hi and aph_lo has negative values as well as very high values."],"metadata":{"id":"XwguqcIUwzKU"}},{"cell_type":"markdown","source":["## Boxplot"],"metadata":{"id":"W00nZeJZyAkb"}},{"cell_type":"code","source":["plt.figure(figsize=(15, 10))\n","plt.subplots_adjust(wspace=0.4, hspace=0.5)\n","\n","for i, col in enumerate(numerical.columns):\n","  plt.subplot(2, 3, i + 1)\n","  sns.boxplot(data=numerical, x=col)\n","  plt.title(col)\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":872},"id":"zG48mlhhkgBK","executionInfo":{"status":"ok","timestamp":1702896380844,"user_tz":-345,"elapsed":1598,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"d322f666-2d41-4d9a-b322-8bd2ccab118d"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x1000 with 6 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAABKMAAANXCAYAAADpXpyQAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB0v0lEQVR4nOzdeXwV9b0//vcJgSQIIbJDWcR9QdywXFSUVq7KtbZqv1URFW2r1aqVKnWpVVDrUq2t1rbUaq9WRe1yXbrhrVpBrZSCior24oairSvKoiwKmd8f/nJKQhKyfrI9n49HHo+cM3NmPvPJzOc988o5c3JZlmUBAAAAAAkUtHQDAAAAAOg4hFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQBAuzZt2rTI5XLx7rvvNsnyjj/++Nhiiy0a/Npu3bo1STsAoC4q6mBjXttUNRQqCKMAAFqZVatWxbRp02LWrFkt3RQAqJPLLrss7rnnnpZuBm2EMAoAoB5uuOGGWLRoUbOuY9WqVXHRRRcJowBotO985zuxevXqZl+PMIr6KGzpBgAAtCWdO3du6SYAQJ0VFhZGYaFLf1oX74yi2b366qvx9a9/PbbbbrsoKSmJXr16xZe+9KV45ZVXNpr36aefjv322y9KSkpi0KBB8d3vfjduuummyOVyG80/c+bMGDNmTGy22WbRvXv3OPjgg+PZZ59Ns1EAtDnLli2L448/PsrKyqJHjx5xwgknxKpVqyrNc9ttt8Uee+wRJSUl0bNnzzjqqKPitddeqzRPdfeMWrp0aRx77LFRWloaZWVlMWnSpHjqqacil8vFzTffvFFb/vnPf8ahhx4a3bp1iz59+sSUKVNi/fr1ERHxyiuvRJ8+fSIi4qKLLopcLhe5XC6mTZvWZH0BQOvx9NNPRy6Xi9/97nf55x5//PHI5XKx++67V5p3/PjxMWrUqPzjulwTVXfPqNWrV8c3vvGN6N27d3Tv3j0+//nPxz//+c8a682mamgul4sPP/wwfvnLX+br1vHHH9+IXqG9E4/S7ObNmxePPfZYHHXUUTFo0KB45ZVXYvr06TF27Nh47rnnomvXrhHxyYn5Zz7zmcjlcnHeeefFZpttFjfeeGMUFRVttMxbb701Jk2aFAceeGB873vfi1WrVsX06dNjn332iSeffLLBN5YFoP064ogjYtiwYXH55ZfHE088ETfeeGP07ds3vve970VExKWXXhoXXHBBHHHEEfHVr3413nnnnbjuuuti3333jSeffDLKysqqXW55eXkccsgh8fe//z1OOeWU2H777ePee++NSZMmVTv/+vXr48ADD4xRo0bF97///XjggQfi6quvjq222ipOOeWU6NOnT0yfPj1OOeWUOOyww+Lwww+PiIgRI0Y0S78A0LKGDx8eZWVl8fDDD8fnP//5iIh45JFHoqCgIJ566qlYsWJFlJaWRnl5eTz22GNx0kknRUTjromOP/74+PWvfx3HHnts/Md//EfMnj07Dj744Brn31QNvfXWW+OrX/1qfPrTn863b6uttmqiHqJdyqCZrVq1aqPn5syZk0VEdsstt+SfO/3007NcLpc9+eST+eeWLl2a9ezZM4uIbPHixVmWZdnKlSuzsrKy7MQTT6y0zDfffDPr0aPHRs8D0LFNnTo1i4jsy1/+cqXnDzvssKxXr15ZlmXZK6+8knXq1Cm79NJLK83zzDPPZIWFhZWenzRpUjZ06ND84//5n//JIiK75ppr8s+tX78+++xnP5tFRHbTTTdVem1EZBdffHGl9ey2227ZHnvskX/8zjvvZBGRTZ06taGbDUAbcvDBB2ef/vSn848PP/zw7PDDD886deqUzZw5M8uyLHviiSeyiMjuvffeel0TVdTBCo8//ngWEdnkyZMrvfb444/fqPbUpYZW2GyzzbJJkyY1aPvpeHxMj2ZXUlKS//3jjz+OpUuXxtZbbx1lZWXxxBNP5Kfdd999MXr06Nh1113zz/Xs2TMmTpxYaXn3339/LFu2LCZMmBDvvvtu/qdTp04xatSoeOihh5p9mwBoe04++eRKj8eMGRNLly6NFStWxF133RXl5eVxxBFHVKot/fv3j2222abW2nLfffdF586d48QTT8w/V1BQEKeeemq92vLyyy83cMsAaOvGjBkTTzzxRHz44YcREfHoo4/Gf/3Xf8Wuu+4ajzzySER88m6pXC4X++yzT6Ouie67776IiPj6179e6fnTTz+9xtfUVkOhIXxMj2a3evXquPzyy+Omm26Kf/7zn5FlWX7a8uXL87+/+uqrMXr06I1ev/XWW1d6/MILL0RExGc/+9lq11daWtoUzQagnRkyZEilx5tvvnlERLz//vvxwgsvRJZlsc0221T72tpuWv7qq6/GgAED8h87r1C1flUoLi7O3xNqw7a8//77m9wGANqnMWPGxLp162LOnDkxePDgePvtt2PMmDHx7LPPVgqjdtxxx+jZs2ejroleffXVKCgoiGHDhlV6vqa6FVF7DXX9RUMIo2h2p59+etx0000xefLkGD16dPTo0SNyuVwcddRRUV5eXu/lVbzm1ltvjf79+2803TdFAFCdTp06Vft8lmVRXl4euVwuZs6cWe183bp1a/Z2ANBxjRw5MoqLi+Phhx+OIUOGRN++fWPbbbeNMWPGxE9/+tNYu3ZtPPLII3HYYYdFRPprotpqKDSEq3aa3W9/+9uYNGlSXH311fnn1qxZE8uWLas039ChQ+PFF1/c6PVVn6u4EV7fvn1j3LhxTd9gADqcrbbaKrIsi2HDhsW2225br9cOHTo0HnrooVi1alWld0dVV9Pqquq3HgHQvnXp0iU+/elPxyOPPBJDhgyJMWPGRMQn75hau3ZtzJgxI956663Yd999I6Jx10RDhw6N8vLyWLx4caV3BDembkWoXdSPe0bR7Dp16rRRYn7dddflv8K6woEHHhhz5syJBQsW5J977733YsaMGRvNV1paGpdddll8/PHHG63vnXfeabrGA9AhHH744dGpU6e46KKLNqpZWZbF0qVLa3ztgQceGB9//HHccMMN+efKy8vjJz/5SYPbUxFqVf3HDQDt15gxY2Lu3Lnx0EMP5cOo3r17xw477JD/1rqK5xtzTXTggQdGRMRPf/rTSs9fd911jWr/Zpttpm5RZ94ZRbP73Oc+F7feemv06NEjdtxxx5gzZ0488MAD0atXr0rznX322XHbbbfFf/7nf8bpp58em222Wdx4440xZMiQeO+99/JJe2lpaUyfPj2OPfbY2H333eOoo46KPn36xJIlS+KPf/xj7L333vHjH/+4JTYVgDZqq622iu9+97tx3nnnxSuvvBKHHnpodO/ePRYvXhx33313nHTSSTFlypRqX3vooYfGpz/96TjrrLPixRdfjO233z5+97vfxXvvvRcRDftPcUlJSey4447xq1/9Krbddtvo2bNnDB8+PIYPH96o7QSg9RozZkxceuml8dprr+VDp4iIfffdN66//vrYYostYtCgQRHRuGuiPfbYI774xS/GNddcE0uXLo3/+I//iNmzZ8fzzz8fEQ1/h9Mee+wRDzzwQPzgBz+IgQMHxrBhw2LUqFENWhbtnzCKZnfttddGp06dYsaMGbFmzZrYe++944EHHsgn8hUGDx4cDz30UHzjG9+Iyy67LPr06ROnnnpqbLbZZvGNb3wjiouL8/MeffTRMXDgwLjiiiviqquuirVr18anPvWpGDNmTJxwwgmpNxGAduDcc8+NbbfdNn74wx/GRRddFBGf1KYDDjggPv/5z9f4uk6dOsUf//jHOOOMM+KXv/xlFBQUxGGHHRZTp06Nvffeu1L9qo8bb7wxTj/99PjmN78ZH330UUydOlUYBdCO7bXXXtGpU6fo2rVr7LLLLvnnx4wZE9dff32lgCqicddEt9xyS/Tv3z/uuOOOuPvuu2PcuHHxq1/9KrbbbrsG160f/OAHcdJJJ8V3vvOdWL16dUyaNEkYRY1ymTuO0cpNnjw5rr/++vjggw/c9BWANuOee+6Jww47LB599NHYe++9W7o5AFCrBQsWxG677Ra33XZbTJw4saWbQzvnnlG0KqtXr670eOnSpXHrrbfGPvvsI4gCoNWqWr/Wr18f1113XZSWlsbuu+/eQq0CgOpVrVsREddcc00UFBTkb5IOzcnH9GhVRo8eHWPHjo0ddtgh3nrrrfjFL34RK1asiAsuuKClmwYANTr99NNj9erVMXr06Fi7dm3cdddd8dhjj8Vll10WJSUlLd08AKjkyiuvjMcffzw+85nPRGFhYcycOTNmzpwZJ510UgwePLilm0cH4GN6tCrf/va347e//W28/vrrkcvlYvfdd4+pU6fW++tKASCl22+/Pa6++up48cUXY82aNbH11lvHKaecEqeddlpLNw0ANnL//ffHRRddFM8991x88MEHMWTIkDj22GPj/PPPj8JC71mh+QmjAAAAAEjGPaMAAAAASEYYBQAAAEAyDf4waHl5efzrX/+K7t27Ry6Xa8o2ASSRZVmsXLkyBg4cGAUFsvn2Sr0C2jr1qmNQr4C2rj71qsFh1L/+9S932Qfahddeey0GDRrU0s2gmahXQHuhXrVv6hXQXtSlXjU4jOrevXt+JaWlpQ1dDECLWbFiRQwePDg/ntE+qVdAW6dedQzqFdDW1adeNTiMqnjraGlpqcESaNO8Fb59U6+A9kK9at/UK6C9qEu98qFzAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIpbOkGQF1kWRZr1qxp6WY0SJZlsXbt2oiIKCoqilwu12JtKS4ubtH1A3REdalhda0VxnGAplXX64ymOqc3jsMnhFG0CWvWrInx48e3dDPavJkzZ0ZJSUlLNwOgQ2nKGmYcB2haqa8zjOPwCR/TAwAAACAZ74yizflg1wmRFbShXXf9x9H9qTsjImLlLkdFdOqcdPW58nXRbcEdSdcJQPVqrGG11ArjOEAatV5nNOKc3jgOG2tDV/TwiaygMHmg02Q6dU7e9izp2gCoTZ1qWJVaYRwHSKPO1xn1PKc3jsPGfEwPAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZApbugF8IsuyWLNmTUREFBcXRy6Xa+EWQdvg2AGaSkccTzriNgMtx5jTOvg70Bp4Z1QrsWbNmhg/fnyMHz8+PzAAm+bYAZpKRxxPOuI2Ay3HmNM6+DvQGgijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASKYw9QpPO+20WLhwYQwfPjx+/OMfp149ANTJY489Ftdee22cccYZERGVfr/yyisjIuLss8+Ovfbaq9JrLr300li1alXst99+MWfOnFi7dm0MGTIkXn/99Rg0aFAsWbIkhg8fHq+//np+GRXL32GHHWL27NnRtWvXOP/88zdadk3rrc+2VPe6imV//PHH0blz5zjkkEPi17/+daxduzbGjh0b06ZNy8/7i1/8Im699dbI5XJxzDHHxFe+8pVK2/7hhx9GRERJSUkUFRVFRMQhhxwSf/7znyut/xe/+EXMmDEjJk6cGDvssENce+218dZbb+XXc9lll1Vqc9Xzhw236fzzz48syyIiYvjw4bFw4cJ8G1avXh0REYWFhbFu3bo691lHNH78+DrPW1vfVv3b1WRT+2V71BG3meZXsV8dcMABG4219X3973//+4iouc5sWIsGDRoUCxcujKKiothmm23yY29ERO/evePdd99t5JaRQn3G/tage/fusXLlyo2e37AuVX08duzYmDdvXqxatSp22mmnSvvq2LFjY9asWTF8+PBYvHhxrFq1Knr16pXff8eOHRuDBw+O2267LbIsi+HDh8ezzz5b6feuXbvGsGHDKp1/rFmzJrIsiyFDhsSSJUsqHSeFhYXRrVu3SsdZ1fPOiy66KH8e9u6778bChQtjyJAhsXbt2o3OTZujnmx4nlZxrtfUclnF2Vs9rVixInr06BHLly+P0tLSOr1myZIlcdxxx+Uf33LLLTFkyJCGrL7dWb16dX4gmDlzZpSUlLRwi1qXDftn5e7HRnTq3MItqof1H0f3J26NiBZq+wbrb4/7VmOOnYaMY7Q9Dfk7r1mzJo455ph49913o1evXhERsXTp0ujVq1dkWRbvvfdeRET06tUrZsyYEcXFxbFmzZo4+uij89PqasPlb6hnz55x++2355c9ceLE/Dwbrrc+29K7d++47bbbKr2u6rIjInK5XGx4evCrX/0q+vXrF8uWLYtDDz200nx33313FBcX17rtFcurWP+aNWvi8MMPj/Ly8sjlcrH55pvX+NrevXvH5ZdfHieeeGL+uRtuuCHOO++8ePfdd6Nr166xatWqTfZDfTXleFmnGlZbrWjGcXzDtjWVin22uv2twqb2y/aoMdusXnUMja1XBQUFUV5eXq/9a8PXbzj2V1dnqqsXjXH++efHf/7nfzbJshqjztcZjTmnb2Xn480x9rdnVc+LmkrFcRYRlc47169fH8uWLav1dRGfnDs2Rw1dtmxZ/jytoKAg7rrrrigrK6vTa+szjiX9mN7JJ59c62MAaA1mzJiRP9leunRppd83DE2WLl0at99+e/419Q2iqi5/Q++9916lZW84z4brre+2VH1d1WVHxEYnXKeffnpERFxwwQUbzXfhhRductsrllex/gsuuCDKy8vz02p77dKlS+OUU06p9Nwpp5ySb3NzBFE0zpo1ayKi9v10U/tle9QRt5nmt+F+VTGuNrRGbDj217VeNMall17aZMuC5tQcQVTEv4+zqvWhtiCqYp7mrCcbnqeVl5fHhRde2KTLr5DsY3p33HHHRieMq1atijvuuCMmTJiQqhmt1oY7eMVJHP9WqU+aaTBot9r5vrXhNjVXoaBjef311+P222+v8/40Y8aMGDFiRNx2221N3pbbbrstRowYUe1JxowZM+KAAw6IQYMG1fj6qtuSZVncfvvt+ddVTN+Ut99+O372s5/FM888s9G0p59+Op5++uk6bU+WZXHbbbflT3Dq+pqqH69L8XG78ePHx8yZM5tkWY2uYc04jjfnf8ar7m8VNrVftkcdcZtpfjXVq7ruX5uqdxvWmddffz3/Do6mdNppp8VVV13V5MutjyTXGa3sfLw1tIFPzJgxI7Isa/B1TFPXk/nz5290vvf000/H/PnzY+TIkY1e/obqHEatXbs21q5dm3+8YsWKOq9k3bp1cf3111c77frrr48vfelLUViY/PZVrcqGfXvYYYe1YEvagPJ1EdGlpVvRdpT/+6Ktve9ba9euja5du7Z0M2hhjalXWZbFtddeW6/1rV+/PqZOndosYWh5eXlcdNFFsX79+mrXe80118RVV10VuVxuo+k1bUvF89/73vfi2muvrXbZ1bnzzjvrvwHVqE8Q1dKaJahpSA1rw+N4xf525ZVX5j/mUNt+WTFfe9IRt5m6ac56VV5eXuv+VZd6V1FnrrzyyrjmmmuaZfxeuHBh6/q4WHNdZ7ThcZzmVdfzsNo0VT0pLy+Piy++uNppF198cdxzzz1RUNB0H66r85Iuv/zy6NGjR/5n8ODBdV7JLbfc0qjpAFBXjalXS5YsiXnz5tX7xKDipt3NobqbdFaYP39+LFmypNppNW3L+vXrY968eTF37tyYN29ek7YVqqrY3yr2003tlzXtz21ZR9xm6qY561V5eXmt+1dd6938+fNj7ty5MX/+/Dq3DUirqerJ3LlzawzFV6xYEXPnzm3U8quq89uRzjvvvDjzzDMrNaauA+Zxxx1Xa+C04U3NO6qKbxyKiPzNYPm3NWvW/Pu/CAUd+1109bZBf7XHfWvDfWPD44iOqzH1asiQIbHnnnvGE088Ua9AarPNNmu2QKqmb42JiNhzzz1r/CKQmralU6dOsccee8SoUaNizz33FEjV4uc//3m9Lg5r0uga1kzj+N133x0///nPm2RZNanY3yr2003tl+3xi2064jZTN81ZrwoKCmLkyJH1rhFV7bnnnjFq1KgYOXJkswVSd911V4ve0DvJdUYrOx8/7rjj4p133mnRNtB0mqqejBo1KkpLS6sNpHr06BGjRo1q1PKrqvPRVlRU1OALvcLCwvja175W7Uf1TjnllA7/Eb2IqPR2uuLi4hb/hoVWzVvZ66cD7Vs+5kBE4+pVLpeLM844IyZNmlTn13Tq1CkuvvjimDJlSpN/VK+goCCmTZsWZ5999kYXC506dYrJkyfXuN/XtC0VzxcUFOSn1yV4mzBhQtxxxx0N35j/X8W3PbUF2267bdMvtCHjVDON40cffXSzh1EV+1vFfrqp/bI9juMdcZupm+asVxVjfH1rxIYq6kxBQUFMnjw5jjvuuCYfv3fdddfo2bNnky6zUZrreGxl5+O33HJL6/p4ZAfWqVOnyLKsUcdWU9WTgoKCuPDCC2PKlCkbTZs6dWqTfkQvIuG36U2YMGGje7l07do1jjzyyFRNAIBNGjRoUBx99NF1LugTJ06MPfbYI4455pgmb8sxxxwTe+yxRxx99NHVrvdTn/pUra+vui25XC6OPvro/Osqpm9K375942tf+1rsvPPOG00bMWJEHHvssXXZnMjlcnHMMcdUu5zaXlP1n1aFhYXNfgHfVDcvb+2aczur7m8VNrVftkcdcZtpfjXVq7ruX5uqdxvWmUGDBsXEiRObpuEbuOaaa5p8mdCWTJw4MSZOnNjg85qmricjR47c6DxtxIgRsfvuuzfJ8jeULIyKiPjZz35W62MAaA0mTpwYvXr1ioiI3r17V/p9w//g9u7dOx/mTJw4sUH/3e3Vq1d++VWf33DZG86z4Xrruy1VX1d12REbv8vwuuuui4iISy65pNLzBQUFcfHFF29y2yv+k1ax/ksuuST/XEFBQa2v7d27d0yfPr3Sc9OnT8+32ZcWtD4VHz+pbT/d1H7ZHnXEbab5bbhfVR1rG/r6mpZRXb1ojPPPP7/JlgXNqbn+AVZxnFWtD2VlZZt8XXPWk6rnaTXd1LyxkoZRQ4YMieHDh0dExPDhw31GHoBWqbi4OM4888zo169fnHnmmXHWWWflf58yZUqUlZVFWVlZnHnmmfkL7+Li4pgyZUpsttlmkcvlYuzYsfmPXwwZMiQKCgrydW/48OH5ZZx11ln55Y8dOzZyuVxsttlmcdZZZ1Va9llnnVXteuuzLd/85jc3et2Gy95ss82irKwsjjnmmHzbx44dG/369YuIiLKysvy7oHK5XEycODHKysoqbXuFkpKSfHsnTpxYaf0VzxUUFMTEiRNjypQp+XVUuOyyy/Kv2WabbSqdP2yzzTb5bfrOd75T6SSxYr6KNlRwS4CmVVvfXnjhhTXubxU2tV+2Rx1xm2l+G+5XVcfahry+tjpTtRZVjLdFRUWVxt6ITy6QN2Wfffap41bCv3Xv3r3a56t+9HHDx2PHjs2fn1XdV8eOHRsRn5w/VMyz4f47duzYOOaYY/LnGsOHD9/o980222yj84+KeSrO/TY8TgoLCysdZ1XPO88+++xK52EVrxsyZMhG56bNUU+qnqdtKhxrqFzWwBtcrFixInr06BHLly+P0tLSpm5Xh7N69er853ZnzpzZ4p8jbm027J+Vux8b0alzC7eoHtZ/HN2fuDUiWqjtG6y/Pe5bjTl2jGMdg78zddVctbhONay2WtGM47jzj7bBONYxdIS/c2scc+p8ndGYc/pWdj7eGv8OtA/1GceSvjMKAAAAgI5NGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIJnClm4AnyguLo6ZM2fmfwfqxrEDNJWOOJ50xG0GWo4xp3Xwd6A1EEa1ErlcLkpKSlq6GdDmOHaAptIRx5OOuM1AyzHmtA7+DrQGPqYHAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMoUt3QCor1z5ushauhH1sf7j6n9PJFe+Lvk6AahejTWsllphHAdIo9brjEac0xvHYWPCKNqcbgvuaOkmNFj3p+5s6SYA0ILqUsPUCoCWUdfrDOM0NJ6P6QEAAACQjHdG0SYUFxfHzJkzW7oZDZJlWaxduzYiIoqKiiKXy7VYW4qLi1ts3QAdVV1qWF1rhXEcoGnV9Tqjqc7pjePwCWEUbUIul4uSkpKWbkaDde3ataWbAEALqWsNUysA0qvPdYZxGpqOj+kBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJFPY0BdmWRYREStWrGiyxgCkVDF+VYxntE/qFdDWqVcdg3oFtHX1qVcNDqNWrlwZERGDBw9u6CIAWoWVK1dGjx49WroZNBP1Cmgv1Kv2Tb0C2ou61Ktc1sB/sZSXl8e//vWv6N69e+RyuTq/bsWKFTF48OB47bXXorS0tCGr7rD0XePov4Zrr32XZVmsXLkyBg4cGAUFPrXcXtVWr9rrvt0U9E3t9E/N9E3NGto36lXH0NDrq47E+LJp+mjT9NGmpahXDX5nVEFBQQwaNKihL4/S0lJ/+AbSd42j/xquPfad/zC3f3WpV+1x324q+qZ2+qdm+qZmDekb9ar9a+z1VUdifNk0fbRp+mjTmrNe+dcKAAAAAMkIowAAAABIJnkYVVRUFFOnTo2ioqLUq27z9F3j6L+G03e0V/btmumb2umfmumbmukbaBzH0Kbpo03TR5uWoo8afANzAAAAAKgvH9MDAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAyzRJGTZ8+PUaMGBGlpaVRWloao0ePjpkzZ+anr1mzJk499dTo1atXdOvWLb74xS/GW2+91RxNafOuuOKKyOVyMXny5Pxz+q9m06ZNi1wuV+ln++23z0/Xd7X75z//Gcccc0z06tUrSkpKYuedd4758+fnp2dZFhdeeGEMGDAgSkpKYty4cfHCCy+0YIth04wLlT388MNxyCGHxMCBAyOXy8U999xTaXpdjvP33nsvJk6cGKWlpVFWVhZf+cpX4oMPPki4Fc1jU31z/PHHb7QvHXTQQZXmaa99c/nll8eee+4Z3bt3j759+8ahhx4aixYtqjRPXY6lJUuWxMEHHxxdu3aNvn37xre+9a1Yt25dyk1pcnXpm7Fjx26075x88smV5mmPfQMNoW5vTO2uG3W8dq2tljdLGDVo0KC44oor4vHHH4/58+fHZz/72fjCF74Qzz77bEREfPOb34zf//738Zvf/CZmz54d//rXv+Lwww9vjqa0afPmzYvrr78+RowYUel5/Ve7nXbaKd544438z6OPPpqfpu9q9v7778fee+8dnTt3jpkzZ8Zzzz0XV199dWy++eb5ea688sr40Y9+FD/72c9i7ty5sdlmm8WBBx4Ya9asacGWw6YZF/7tww8/jF122SV+8pOfVDu9Lsf5xIkT49lnn437778//vCHP8TDDz8cJ510UqpNaDab6puIiIMOOqjSvnTHHXdUmt5e+2b27Nlx6qmnxt/+9re4//774+OPP44DDjggPvzww/w8mzqW1q9fHwcffHB89NFH8dhjj8Uvf/nLuPnmm+PCCy9siU1qMnXpm4iIE088sdK+c+WVV+antde+gYZStytTu+tGHa9dq6vlWSKbb755duONN2bLli3LOnfunP3mN7/JT/vHP/6RRUQ2Z86cVM1p9VauXJlts8022f3335/tt99+2RlnnJFlWab/NmHq1KnZLrvsUu00fVe7c845J9tnn31qnF5eXp71798/u+qqq/LPLVu2LCsqKsruuOOOFE2EBjEu1Cwisrvvvjv/uC7H+XPPPZdFRDZv3rz8PDNnzsxyuVz2z3/+M1nbm1vVvsmyLJs0aVL2hS98ocbXdJS+ybIse/vtt7OIyGbPnp1lWd2OpT/96U9ZQUFB9uabb+bnmT59elZaWpqtXbs27QY0o6p9k2VZpXO56nSUvoG6ULdrp3bXjTq+aS1dy5v9nlHr16+PO++8Mz788MMYPXp0PP744/Hxxx/HuHHj8vNsv/32MWTIkJgzZ05zN6fNOPXUU+Pggw+u1E8Rof/q4IUXXoiBAwfGlltuGRMnTowlS5ZEhL7blN/97ncxcuTI+NKXvhR9+/aN3XbbLW644Yb89MWLF8ebb75Zqf969OgRo0aN0n+0esaFuqnLcT5nzpwoKyuLkSNH5ucZN25cFBQUxNy5c5O3ObVZs2ZF3759Y7vttotTTjklli5dmp/Wkfpm+fLlERHRs2fPiKjbsTRnzpzYeeedo1+/fvl5DjzwwFixYkX+3fPtQdW+qTBjxozo3bt3DB8+PM4777xYtWpVflpH6RuoK3W77tTu+lHH/62la3lhYzegJs8880yMHj061qxZE926dYu77747dtxxx1iwYEF06dIlysrKKs3fr1+/ePPNN5urOW3KnXfeGU888UTMmzdvo2lvvvmm/qvFqFGj4uabb47tttsu3njjjbjoootizJgxsXDhQn23CS+//HJMnz49zjzzzPj2t78d8+bNi2984xvRpUuXmDRpUr6PNhx4Kh7rP1oz40Ld1eU4f/PNN6Nv376VphcWFkbPnj3bfZ8ddNBBcfjhh8ewYcPipZdeim9/+9sxfvz4mDNnTnTq1KnD9E15eXlMnjw59t577xg+fHhE1O385M0336x236qY1h5U1zcREUcffXQMHTo0Bg4cGE8//XScc845sWjRorjrrrsiomP0DdSVul0/anfdqeP/1hpqebOFUdttt10sWLAgli9fHr/97W9j0qRJMXv27OZaXbvx2muvxRlnnBH3339/FBcXt3Rz2pzx48fnfx8xYkSMGjUqhg4dGr/+9a+jpKSkBVvW+pWXl8fIkSPjsssui4iI3XbbLRYuXBg/+9nPYtKkSS3cOmg44wJN5aijjsr/vvPOO8eIESNiq622ilmzZsX+++/fgi1L69RTT42FCxdWuocLn6ipbza838jOO+8cAwYMiP333z9eeuml2GqrrVI3E1o1dZvmoo7/W2uo5c32Mb0uXbrE1ltvHXvssUdcfvnlscsuu8S1114b/fv3j48++iiWLVtWaf633nor+vfv31zNaTMef/zxePvtt2P33XePwsLCKCwsjNmzZ8ePfvSjKCwsjH79+um/eigrK4ttt902XnzxRfveJgwYMCB23HHHSs/tsMMO+bdFV/RR1W9T0H+0NcaFmtXlOO/fv3+8/fbblaavW7cu3nvvvQ7XZ1tuuWX07t07XnzxxYjoGH1z2mmnxR/+8Id46KGHYtCgQfnn63Is9e/fv9p9q2JaW1dT31Rn1KhRERGV9p323DfQGOp27dTuhuuIdTyi9dTyZr9nVIXy8vJYu3Zt7LHHHtG5c+d48MEH89MWLVoUS5YsidGjR6dqTqu1//77xzPPPBMLFizI/4wcOTImTpyY/13/1d0HH3wQL730UgwYMMC+twl77733Rl/t+fzzz8fQoUMjImLYsGHRv3//Sv23YsWKmDt3rv6jTTEu1Kwux/no0aNj2bJl8fjjj+fn+ctf/hLl5eX5C+yO4vXXX4+lS5fGgAEDIqJ9902WZXHaaafF3XffHX/5y19i2LBhlabX5VgaPXp0PPPMM5VO9O+///4oLS3d6J8hbcmm+qY6CxYsiIiotO+0x76BpqBu107tbriOVMcjWmEtb+wd2Ktz7rnnZrNnz84WL16cPf3009m5556b5XK57M9//nOWZVl28sknZ0OGDMn+8pe/ZPPnz89Gjx6djR49ujma0i5U/QYW/Vezs846K5s1a1a2ePHi7K9//Ws2bty4rHfv3tnbb7+dZZm+q83f//73rLCwMLv00kuzF154IZsxY0bWtWvX7LbbbsvPc8UVV2RlZWXZvffemz399NPZF77whWzYsGHZ6tWrW7DlUDvjQmUrV67MnnzyyezJJ5/MIiL7wQ9+kD355JPZq6++mmVZ3Y7zgw46KNttt92yuXPnZo8++mi2zTbbZBMmTGipTWoytfXNypUrsylTpmRz5szJFi9enD3wwAPZ7rvvnm2zzTbZmjVr8stor31zyimnZD169MhmzZqVvfHGG/mfVatW5efZ1LG0bt26bPjw4dkBBxyQLViwILvvvvuyPn36ZOedd15LbFKT2VTfvPjii9nFF1+czZ8/P1u8eHF27733ZltuuWW277775pfRXvsGGkLd3pjaXTfqeO1aWy1vljDqy1/+cjZ06NCsS5cuWZ8+fbL9998/H0RlWZatXr06+/rXv55tvvnmWdeuXbPDDjsse+ONN5qjKe1C1TBK/9XsyCOPzAYMGJB16dIl+9SnPpUdeeSR2Ysvvpifru9q9/vf/z4bPnx4VlRUlG2//fbZz3/+80rTy8vLswsuuCDr169fVlRUlO2///7ZokWLWqi1UDfGhcoeeuihLCI2+pk0aVKWZXU7zpcuXZpNmDAh69atW1ZaWpqdcMIJ2cqVK1tga5pWbX2zatWq7IADDsj69OmTde7cORs6dGh24oknVvpq4yxrv31TXb9ERHbTTTfl56nLsfTKK69k48ePz0pKSrLevXtnZ511Vvbxxx8n3pqmtam+WbJkSbbvvvtmPXv2zIqKirKtt946+9a3vpUtX7680nLaY99AQ6jbG1O760Ydr11rq+W5/79RAAAAANDskt0zCgAAAACEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoA6FDGjh0bkydPbvDrp02bFrvuumvSdQJAY2yxxRZxzTXX1Hn+V155JXK5XCxYsKDZ2kTHJowCAKiHKVOmxIMPPtjky83lcnHPPfc0+XIBYN68eXHSSSc16TJvvvnmKCsra9Jl0nEUtnQDAADakm7dukW3bt1auhkAUGd9+vRp6SZAJd4ZRXL33Xdf7LPPPlFWVha9evWKz33uc/HSSy/lpz/22GOx6667RnFxcYwcOTLuueeejd4iunDhwhg/fnx069Yt+vXrF8cee2y8++67LbA1ALRF5eXlcfbZZ0fPnj2jf//+MW3atPy0ZcuWxVe/+tXo06dPlJaWxmc/+9l46qmn8tOrfkxv3bp18Y1vfCNf184555yYNGlSHHrooXVe5xZbbBEREYcddljkcrn8YwA6pj/84Q9RVlYW69evj4iIBQsWRC6Xi3PPPTc/z1e/+tU45phjIiLi0UcfjTFjxkRJSUkMHjw4vvGNb8SHH36Yn7fqx/T+7//+L/bZZ58oLi6OHXfcMR544IFq36H78ssvx2c+85no2rVr7LLLLjFnzpyIiJg1a1accMIJsXz58sjlcpHL5SrVNdgUYRTJffjhh3HmmWfG/Pnz48EHH4yCgoI47LDDory8PFasWBGHHHJI7LzzzvHEE0/EJZdcEuecc06l1y9btiw++9nPxm677Rbz58+P++67L95666044ogjWmiLAGhrfvnLX8Zmm20Wc+fOjSuvvDIuvvjiuP/++yMi4ktf+lK8/fbbMXPmzHj88cdj9913j/333z/ee++9apf1ve99L2bMmBE33XRT/PWvf40VK1ZU+3G72tY5b968iIi46aab4o033sg/BqBjGjNmTKxcuTKefPLJiIiYPXt29O7dO2bNmpWfZ/bs2TF27Nh46aWX4qCDDoovfvGL8fTTT8evfvWrePTRR+O0006rdtnr16+PQw89NLp27Rpz586Nn//853H++edXO+/5558fU6ZMiQULFsS2224bEyZMiHXr1sVee+0V11xzTZSWlsYbb7wRb7zxRkyZMqXJ+4F2LIMW9s4772QRkT3zzDPZ9OnTs169emWrV6/OT7/hhhuyiMiefPLJLMuy7JJLLskOOOCASst47bXXsojIFi1alLLpALRB++23X7bPPvtUem7PPffMzjnnnOyRRx7JSktLszVr1lSavtVWW2XXX399lmVZNnXq1GyXXXbJT+vXr1921VVX5R+vW7cuGzJkSPaFL3yhTuusEBHZ3Xff3citA6C92H333fP15dBDD80uvfTSrEuXLtnKlSuz119/PYuI7Pnnn8++8pWvZCeddFKl1z7yyCNZQUFB/rpq6NCh2Q9/+MMsy7Js5syZWWFhYfbGG2/k57///vsr1aHFixdnEZHdeOON+XmeffbZLCKyf/zjH1mWZdlNN92U9ejRo5m2nvbOO6NI7oUXXogJEybElltuGaWlpfmPIixZsiQWLVoUI0aMiOLi4vz8n/70pyu9/qmnnoqHHnoof8+Obt26xfbbbx8RUenjfgBQkxEjRlR6PGDAgHj77bfjqaeeig8++CB69epVqc4sXry42hqzfPnyeOuttyrVqk6dOsUee+xR53UCQHX222+/mDVrVmRZFo888kgcfvjhscMOO8Sjjz4as2fPjoEDB8Y222wTTz31VNx8882V6taBBx4Y5eXlsXjx4o2Wu2jRohg8eHD0798//1zVa64KG9auAQMGRESoXTQJNzAnuUMOOSSGDh0aN9xwQwwcODDKy8tj+PDh8dFHH9Xp9R988EEccsgh8b3vfW+jaRUDJADUpnPnzpUe53K5KC8vjw8++CAGDBhQ6WMQFRr7jUE1rRMAqjN27Nj47//+73jqqaeic+fOsf3228fYsWNj1qxZ8f7778d+++0XEZ9cH33ta1+Lb3zjGxstY8iQIY1qw4a1K5fLRUSoXTQJYRRJLV26NBYtWhQ33HBDjBkzJiI+udlehe222y5uu+22WLt2bRQVFUVEbHTfjN133z3+53/+J7bYYosoLLQLA9B0dt9993jzzTejsLCwTjcR79GjR/Tr1y/mzZsX++67b0R8ci+OJ554otJNzuuic+fO+RvVAkDFfaN++MMf5oOnsWPHxhVXXBHvv/9+nHXWWRHxSe167rnnYuutt67Tcrfbbrt47bXX4q233op+/fpFxMbXXHXRpUsXdYsG8zE9ktp8882jV69e8fOf/zxefPHF+Mtf/hJnnnlmfvrRRx8d5eXlcdJJJ8U//vGP+N///d/4/ve/HxH/TuJPPfXUeO+992LChAkxb968eOmll+J///d/44QTTjAYAtAo48aNi9GjR8ehhx4af/7zn+OVV16Jxx57LM4///yYP39+ta85/fTT4/LLL4977703Fi1aFGeccUa8//77+bpVV1tssUU8+OCD8eabb8b777/fFJsDQBu2+eabx4gRI2LGjBkxduzYiIjYd99944knnojnn38+H1Cdc8458dhjj8Vpp50WCxYsiBdeeCHuvffeGm9g/p//+Z+x1VZbxaRJk+Lpp5+Ov/71r/Gd73wnIqJetWuLLbaIDz74IB588MF49913Y9WqVY3bYDoUYRRJFRQUxJ133hmPP/54DB8+PL75zW/GVVddlZ9eWloav//972PBggWx6667xvnnnx8XXnhhRET+PlIDBw6Mv/71r7F+/fo44IADYuedd47JkydHWVlZFBTYpQFouFwuF3/6059i3333jRNOOCG23XbbOOqoo+LVV1/N//e4qnPOOScmTJgQxx13XIwePTp/r44N739YF1dffXXcf//9MXjw4Nhtt92aYnMAaOP222+/WL9+fT6M6tmzZ+y4447Rv3//2G677SLik/s6zZ49O55//vkYM2ZM7LbbbnHhhRfGwIEDq11mp06d4p577okPPvgg9txzz/jqV7+a/za9+tSuvfbaK04++eQ48sgjo0+fPnHllVc2bmPpUHJZlmUt3QiozYwZM+KEE06I5cuXR0lJSUs3BwBqVV5eHjvssEMcccQRcckll7R0cwBgk/7617/GPvvsEy+++GJstdVWLd0cOgA33KHVueWWW2LLLbeMT33qU/HUU0/FOeecE0cccYQgCoBW6dVXX40///nPsd9++8XatWvjxz/+cSxevDiOPvrolm4aAFTr7rvvjm7dusU222wTL774Ypxxxhmx9957C6JIRhhFq/Pmm2/GhRdeGG+++WYMGDAgvvSlL8Wll17a0s0CgGoVFBTEzTffHFOmTIksy2L48OHxwAMPxA477NDSTQOAaq1cuTLOOeecWLJkSfTu3TvGjRsXV199dUs3iw7Ex/QAAAAASMbdngEAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFG3atGnTIpfLxbvvvrvJebfYYos4/vjjm79RAFDFzTffHLlcLl555ZWWbgoA7UB9roMa4/jjj48tttiiWddBxySMAgAAACCZwpZuAKSyaNGiKCiQvwIAANTFDTfcEOXl5S3dDNohYRQdRlFRUUs3AQAAoM3o3LlzSzeBdsrbRGgyr776anz961+P7bbbLkpKSqJXr17xpS99aaP7Y1TcN+Phhx+Or33ta9GrV68oLS2N4447Lt5///0GrXvZsmVx/PHHR1lZWfTo0SNOOOGEWLVqVaV53DMKgIiWrVdV/fSnP42ddtopioqKYuDAgXHqqafGsmXLmmTZALR/7777bhxxxBFRWloavXr1ijPOOCPWrFmTn57L5eK0006L3/zmN7HjjjtGSUlJjB49Op555pmIiLj++utj6623juLi4hg7duxGtdA9o2gu3hlFk5k3b1489thjcdRRR8WgQYPilVdeienTp8fYsWPjueeei65du1aa/7TTTouysrKYNm1aLFq0KKZPnx6vvvpqzJo1K3K5XL3WfcQRR8SwYcPi8ssvjyeeeCJuvPHG6Nu3b3zve99ryk0EoB1oyXq1oWnTpsVFF10U48aNi1NOOSW/7Hnz5sVf//pX/40GYJOOOOKI2GKLLeLyyy+Pv/3tb/GjH/0o3n///bjlllvy8zzyyCPxu9/9Lk499dSIiLj88svjc5/7XJx99tnx05/+NL7+9a/H+++/H1deeWV8+ctfjr/85S8ttTl0IMIomszBBx8c/+///b9Kzx1yyCExevTo+J//+Z849thjK03r0qVLPPjgg/mT7aFDh8bZZ58dv//97+Pzn/98vda92267xS9+8Yv846VLl8YvfvELYRQAG2nJelXhnXfeicsvvzwOOOCAmDlzZv6ehttvv32cdtppcdttt8UJJ5zQoGUD0HEMGzYs7r333oiIOPXUU6O0tDR++tOfxpQpU2LEiBER8cm9c//v//4v/w6nzTffPL72ta/Fd7/73Xj++eeje/fuERGxfv36uPzyy+OVV17xbiianY/p0WRKSkryv3/88cexdOnS2HrrraOsrCyeeOKJjeY/6aSTKv3X95RTTonCwsL405/+VO91n3zyyZUejxkzJpYuXRorVqyo97IAaN9asl5VeOCBB+Kjjz6KyZMnV/pyjRNPPDFKS0vjj3/8Y4OXDUDHUfFupwqnn356RESlGrX//vtXCpdGjRoVERFf/OIX80HUhs+//PLLzdVcyBNG0WRWr14dF154YQwePDiKioqid+/e0adPn1i2bFksX758o/m32WabSo+7desWAwYM2OhzynUxZMiQSo8333zziIgmu6cHAO1HS9arCq+++mpERGy33XaVnu/SpUtsueWW+ekAUJuqNWqrrbaKgoKCSjWq6rVSjx49IiJi8ODB1T7vGooUfEyPJnP66afHTTfdFJMnT47Ro0dHjx49IpfLxVFHHdXsXwfaqVOnap/PsqxZ1wtA29OS9QoAmlN19zKs6VrJNRQtSRhFk/ntb38bkyZNiquvvjr/3Jo1a2r8VqAXXnghPvOZz+Qff/DBB/HGG2/Ef/3XfzV3UwHowFpDvRo6dGhEfHIfjy233DL//EcffRSLFy+OcePGNXjZAHQcL7zwQgwbNiz/+MUXX4zy8nL3fKLV8zE9mkynTp02StGvu+66WL9+fbXz//znP4+PP/44/3j69Omxbt26GD9+fLO2E4COrTXUq3HjxkWXLl3iRz/6UaW2/OIXv4jly5fHwQcf3OBlA9Bx/OQnP6n0+LrrrouIcE1Fq+edUTSZz33uc3HrrbdGjx49Yscdd4w5c+bEAw88EL169ap2/o8++ij233//OOKII2LRokXx05/+NPbZZ58GfzMRANRFa6hXffr0ifPOOy8uuuiiOOigg+Lzn/98ftl77rlnHHPMMQ1eNgAdx+LFi+Pzn/98HHTQQTFnzpy47bbb4uijj45ddtmlpZsGtRJG0WSuvfba6NSpU8yYMSPWrFkTe++9dzzwwANx4IEHVjv/j3/845gxY0ZceOGF8fHHH8eECRPiRz/6UbWfcwaAptJa6tW0adOiT58+8eMf/zi++c1vRs+ePeOkk06Kyy67rNK39wFATX71q1/FhRdeGOeee24UFhbGaaedFldddVVLNws2KZe5OxmJ3XzzzXHCCSfEvHnzYuTIkS3dHAColnoFANA83DMKAAAAgGR8TI9W6YMPPogPPvig1nn69OlT49eRAkAK6hUAQP0Jo2iVvv/978dFF11U6zyLFy/2laUAtCj1CgCg/twzilbp5ZdfjpdffrnWefbZZ58oLi5O1CIA2Jh6BQBQf8IoAAAAAJJxA3MAAAAAkmnwPaPKy8vjX//6V3Tv3j1yuVxTtgkgiSzLYuXKlTFw4MAoKJDNt1fqFdDWqVcdg3oFtHX1qVcNDqP+9a9/xeDBgxv6coBW47XXXotBgwa1dDNoJuoV0F6oV+2begW0F3WpVw0Oo7p3755fSWlpaUMXA9BiVqxYEYMHD86PZ7RP6hXQ1qlXHYN6BbR19alXDQ6jKt46WlpaarAE2jRvhW/f1CugvVCv2jf1Cmgv6lKvfOgcAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGQKW3Ll5eXlsXz58oiIKCoqipKSksjlci3ZJADYSJZlsWbNmoiIKC4uVqsAaJcq6l2WZbF27dqI+OQ6bcO6pw4CTaFFw6jly5fHYYcdln88c+bMKCkpacEWAcDG1qxZE+PHj48ItQqA9mvDelcTdRBoCj6mBwCbUPGuqKq/AwAA9SeMAgAAoFordzkqPth1Qks3A2hnWvRjegAAALRinTpH1tJtANod74wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgmcKWXHmWZbU+BoCWlmVZrF69utJjAGhrsiyLNWvWREREcXFx5HK5NrV8oH1p0XdGrV27ttbHANDS1qxZE0cffXT+sVoFQFu0Zs2aGD9+fIwfPz4fGrWl5QPti4/pAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkExh6hUed9xxsWTJkmqnHXbYYRERUVZWFhERZ599duy1114REfHYY4/FtddeGwcccED8+c9/jrfffjuyLIuIiGOPPTZ+//vfx+rVq+Ojjz6KnXbaKRYuXJhfblFRURxxxBHx5z//Oc4444z8MitULLu6adCUNrWvpdoXf/GLX8SMGTNi4sSJ8ZWvfKVByzjttNNi4cKFMXz48Pjxj3/cxC2sH8cwzaFiv3rrrbcqPT9hwoT878cee2ytx1DFsbbvvvvGww8/HOXl5Q1qy6xZsyotrz7HbtXXOF7SaYqxtj5q+9s2Z1t+8YtfxG233ZY/L+vdu3eceeaZNbalIfvghsfSP/7xj0bvv9W1Ydq0aTFr1qwYO3ZsTJs2rcHLru96obEee+yxuPLKKyPik+uniIgrr7wyf23UpUuXiIhYu3ZtsjaNHz++2deRy+Vi8ODBsWTJkhg+fHi88847scMOO8TDDz9cp7GuYuzq2rVrnH/++Y0+N6/6d2jqMSri3+NUUVFRTJ06Nfbaa6/8vDvssEPMnj07unTpEoWFhdG5c+c4++yz4x//+MdG21nftlbXntr6pmL5H3/8cb4dm6oFbWl8TN3Wuq6vKduVYhtzWcWZQz2tWLEievToEcuXL4/S0tI6veaFF16IE088sc7r6NWrV8yYMSMiIo455ph49913o6CgoMEn8xGfnCDddtttUVxcHBERa9asyS+76jRoSpva11Lti8uWLYvDDz88ysvLo6CgIO666658AFxXS5YsieOOOy7/+JZbbokhQ4Y0cUvrpjH91pBxjLanIX/nDferTbnnnnuqPYY2PNYa66CDDoqTTz653sdu1eP9jjvuiFNPPVXNS6Apxtr6qG0sbM62LFu2LA477LCoejpZccw1xXlXdcdSY/bf6tqwfPnyOPLII/Pz/OpXv4p+/frVe9n1Xa96xYYaWq8mTpwYS5cujYhPrp+yLIv33nuv1tf98pe/jKFDh270/OrVqzcKklbufmxERHR/4taIiJg5c2aUlJRs9NqxY8fWqc0pbGqsqzp2VVx3NvTcvLq/Q9Xl1VVN633rrbcqjVObb7553HTTTfHVr361xvOVnj17VtoXevbsGf/93/8dX/nKV+rc1uraExE19k3VvqhuHVWXeeONN+a3o7Wfn6TOD+q6vqZsV6p6lfRjeqecckq95l+6dGncfvvtMWPGjPzO3NiT+oplVthw2VWnQVPa1L6Wal+84IIL8sdReXl5XHjhhfVexsknn1zr45QcwzSHDferTanpGNrwWGus++67r0HHbtXXnH766Y6XRJpirK2P2sbC5mzLBRdcsFEQFRGxfPnyatvSkDG7umOpMftvdW047bTTKs1z+umnN2jZ9V0vNFbVerV06dJNBlEREVOmTGnOZrW4TY11Vceuxp6bV/d3aMoxKiI2Gqfef//9uOCCC2o9X6m6L7z33nsbvaY+21bd9Xlt43xN66j6+g3b1NrHx9RjeV3X15TtSrWNycKon/3sZ7Fu3bp6v27GjBkxY8aMak90GiLLsrj99tvj9ddfj9dffz1uv/32/LI3nAZNaVP7Wqp9cf78+fHMM89Ueu7pp5+O+fPn13kZd9xxR6xatarSc6tWrYo77rijSdpYH45hmkPV/WpTqjuGqjvWGqu+x251bdjwI+6Ol+bTFGNtfdQ2FjZnW+qynzf2vKumdTR0/62uDbfddlu88847leZ7++2347777qvXsuu7XscfjfX666/nP0VSX++8807+Nicb/qxZs6b6F2xQE9esWbPR61rTu6Iq1DTW1TSuzJgxo0Hn5hXz1ra8uqppvXfcccdG41TEJ+cG9b1O3tS2b6o9Va/Pqxvnq1OxjuqWueF2tObxMfVYXtf1NWW7Um5jncOotWvXxooVKyr91NXHH38cd955Z4MauH79+ib7z3KFLMvimmuuiWuvvbbaaddee22ThV9QsU/V9Hx5eXmSfbG8vDwuvvjiaqddfPHFdTrO1q1bF9dff321066//voGBc4Ntal+dQx3XI2pVxX7z/r16+u1zqrvPKnpWGtqNR27dW2D46XpNcVYWx+bGgsvuuiiZmlLffbzirZcc801NU6rbh/c1DrWr19fr/23pr6qqR+uuuqqeo8F9Vmv44/G1qtrrrmmUcfx1VdfHePHj6/0U3EP342U//sc77DDDtvoda1V1bGuvLy8xnGxYkypz7l5becN69evj2uuuabRY1Rt599Npbq21tSe6q7PN7y+rmncXL9+ffzwhz+sdplVtcbxMfVYXtf1NWW7Um9jncOoyy+/PHr06JH/GTx4cJ1Xct111zWocc1l/fr1MX/+/Jg3b95GB8v69etj3rx5Nd5kHepryZIlte5rc+fOTbIvzp07t8aTnBUrVsTcuXM3uYxbbrmlUdOb0qb61THccTWmXlXsV/W1evXq/DFU27HW1Go6duvaBsdL02uKsbY+NjUWrly5slnaUp/9vKIt8+fPr9eYval1ZFlWr/23pr6qrd1/+MMf6jRvQ9br+KOx9aq53m3ZnlQd6+bOnVvjuBgR9T4339R5w/z585ttjGpqVdtan/ZseH1dm8cff7xOy2yN42Pqsbyu62vKdqXexjqHUeedd14sX748//Paa6/VeSXN8bn7xujUqVPsueeeseeee0anTp02mvbpT3+6xW7GTPszZMiQWve1UaNGJdkXR40aVeNN5Hr06BGjRo3a5DI2vGl5Q6Y3pU31q2O442pMvarYr+qrpKQkfwzVdqw1tZqO3bq2wfHS9JpirK2P2sbCPffcM7p3794sbanPfl6xn40cObJeY/am1pHL5eq1/9bUVzUpLCyMz33uc3WatyHrdfzR2Ho1cuTIRq2/oKAg/vCHP8TMmTPzP3fffXcNM//7S9jvvvvuSq9pzaqOdaNGjapxXIyI2HPPPet1br6p84Y999yz2caopla1rfVpz4bX17UZOXJknZbZGsfH1GN5XdfXlO1KvY11DqOKioqitLS00k9dde7cOY466qgGNbBTp05RUNC0t7bK5XIxefLkOOOMM6qddsYZZ0Qul2vSddJxVexTNT1fUFCQZF8sKCio8UaOU6dOrdNxVlhYGF/72teqnXbKKadEYWFhtdOaw6b61THccTWmXlXsP/U9Ebz00kvzx1Btx1pTq+nYrWsbHC9NrynG2vqobSycPHlyTJ06tVnaUp/9vKKNkydPrnFadfvgptbRqVOneu2/NfVVTf1w9tlnN8lFoXpFTRpbryZPntyo4/jcc8+Nbt26RUlJSf6nxm/M2mA/LS4urvSaWbNmNbgNza3qWFdQUFDjuNipU6d8n9b1mK3tvKFieY0do2o7/24q1bW1pvZUd32+4fV1TeNmp06d4pvf/Ga1y6yqNY6Pqcfyuq6vKduVehuT3cD85JNPbtCF6sSJE2PixIlNtuG5XC6OPvro+NSnPhWDBg2Ko48+utIfsmIaNKVN7Wup9sWRI0fGzjvvXOm5ESNGxO67717nZUyYMCG6du1a6bmuXbtW+qrZVBzDNIeq+9WmVHcMVXesNVZ9j93q2tC3b1/HSwJNMdbWR21jYXO2pS77eWPPu2paR0P33+racMwxx0SfPn0qzde3b9844IAD6rXs+q7X8UdjDRo0KCZOnNig1/bp06dJ9/HWGEjVNNbVNK5MnDixQefmFfPWtry6qmm9EyZM2Gicivjk3KC+18mb2vZNtafq9Xl143x1KtZR3TI33I7WPD6mHsvrur6mbFfKbUwWRkVETJ8+vV7z9+7dO44++uiYOHFi9OrVKyJq/u9VfZdZYcNlV50GTWlT+1qqffGSSy6p9A6Ohtxo+Wc/+1mtj1NyDNMcNtyvNqWmY2jDY62xDjrooAYdu1Vfc9111zleEmmKsbY+ahsLm7Mtl1xySbUXQj169Ki2LQ0Zs6s7lhqz/1bXhh//+MeV5mmO+52qVzSHqvWqV69e0bNnz02+7vvf/35zNqvFbWqsqzp29erVq1Hn5lX/Dk09RkXERuNUz54945JLLqn1fKXqvtCrV6+NXlOfbavu+ry2cb6mdVR9/YZtau3jY+qxvK7ra8p2pdrGpGHUNttsU6fPGZaVlUVZWVmceeaZUVxcHMXFxXHmmWdGv379YuLEidGvX79Kg8exxx4bZWVlUVRUFLlcLoYPH15peUVFRXHsscdGv3794pvf/Galt59uuOyq06ApbWpfS7UvlpWVxcSJE6OgoCAmTpwYZWVl9V7GkCFD8sfZ8OHDW/Tz3I5hmsOG+1VtKupPdTY81saOHdvoj1I05Nit+pp+/fo5XhJpirG2PmobC5uzLWVlZXHMMcdUOi/r3bt3nHPOOU123lX1WGrs/ltdG/r165f/avqKdTQ19YrmUFxcHGeddVb++umss86KKVOmVLo2KioqiqKiokqv69u3b5O3JfX9o3K5XP4cdPjw4fnjuC5j3YZj12abbRZnnXVWo87Nq/4dKq5jG6Km9W44ThUVFeX/zhXzjh07Nv/33myzzaKsrCymTJkSxx57bKXtrNhP6trW6tpTW99s2BcV7ai6jqqv33A7Wvv4mHosr+v6mrJdqbYxlzXw+/lWrFgRPXr0iOXLlzf4Rq1vvPFGTJgwIf/47rvvjs0337xBywKor6YYx2j9Gvt3Xr16daWvrb7jjjtiwIABTdlEgFqpVx1Dc/+dN6xnM2fOjJKSklrnqbBy92MjIqL7E7fW+bU1zQO0b/UZx5K+MwoAAACAjk0YBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgmcKWXHlRUVGtjwGgpRUXF8ftt98eRx99dESoVQC0TcXFxTFz5sz8721t+UD70qJhVC6Xq/UxALS0XC4XJSUllR4DQFtTtZ61teUD7YuP6QEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJBMYUs3AAAAgFZq/ceRy+VauhVAOyOMAgAAoFrdn7qzpZsAtEM+pgcAm1BcXFzt7wAAQP216DujevToEXfffXdERBQVFTnBB6BVKi4ujpkzZ+Z/B4D2qKLeZVkWa9eujYhPrtM2/JieOgg0hRYNowoKCmLzzTdvySYAwCblcrkoKSlp6WYAQLPasN517dq1hVsDtGc+pgcAAABAMsIoAAAAAJIRRgEAAACQjDAKAAAAgGSEUQAAAAAkI4wCAAAAIBlhFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjAIAAAAgGWEUAAAAAMkIowAAAABIRhgFAAAAQDLCKAAAAACSEUYBAAAAkIwwCgAAAIBkhFEAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEhGGAUAAABAMsIoAAAAAJIRRgEAAACQTGFDX5hlWURErFixoskaA5BSxfhVMZ7RPqlXQFunXnUM6hXQ1tWnXjU4jFq5cmVERAwePLihiwBoFVauXBk9evRo6WbQTNQroL1Qr9o39QpoL+pSr3JZA//FUl5eHv/617+ie/fukcvl6v36FStWxODBg+O1116L0tLShjSBaujX5qFfm0dL92uWZbFy5coYOHBgFBT41HJ7pV59wna0Pu1lW2xH81OvOob61KvWvL9uira3DG1vOW25/fVte33qVYPfGVVQUBCDBg1q6MvzSktL29wfpC3Qr81DvzaPluxX/2Fu/9SrymxH69NetsV2NC/1qv1rSL1qrftrXWh7y9D2ltOW21+ftte1XvnXCgAAAADJCKMAAAAASKbFwqiioqKYOnVqFBUVtVQT2iX92jz0a/PQr7QF7WU/tR2tT3vZFtsB6bXl/VXbW4a2t5y23P7mbHuDb2AOAAAAAPXlY3oAAAAAJCOMAgAAACAZYRQAAAAAyQijAAAAAEimxcKon/zkJ7HFFltEcXFxjBo1Kv7+97+3VFNanWnTpkUul6v0s/322+enr1mzJk499dTo1atXdOvWLb74xS/GW2+9VWkZS5YsiYMPPji6du0affv2jW9961uxbt26SvPMmjUrdt999ygqKoqtt946br755hSbl8zDDz8chxxySAwcODByuVzcc889laZnWRYXXnhhDBgwIEpKSmLcuHHxwgsvVJrnvffei4kTJ0ZpaWmUlZXFV77ylfjggw8qzfP000/HmDFjori4OAYPHhxXXnnlRm35zW9+E9tvv30UFxfHzjvvHH/605+afHtT2VS/Hn/88RvtvwcddFClefQrbUVrq1WXX3557LnnntG9e/fo27dvHHroobFo0aJK87S1GnHFFVdELpeLyZMnt8lt+Oc//xnHHHNM9OrVK0pKSmLnnXeO+fPn56enrDUNtX79+rjgggti2LBhUVJSEltttVVccsklseF33LTW7VDr6ahaW32qqimuZ1JKNZa0RNub6ty8qaU8p2mJto8dO3ajfj/55JNbvO0REdOnT48RI0ZEaWlplJaWxujRo2PmzJn56cn6PWsBd955Z9alS5fsv//7v7Nnn302O/HEE7OysrLsrbfeaonmtDpTp07Ndtppp+yNN97I/7zzzjv56SeffHI2ePDg7MEHH8zmz5+f/cd//Ee211575aevW7cuGz58eDZu3LjsySefzP70pz9lvXv3zs4777z8PC+//HLWtWvX7Mwzz8yee+657Lrrrss6deqU3XfffUm3tTn96U9/ys4///zsrrvuyiIiu/vuuytNv+KKK7IePXpk99xzT/bUU09ln//857Nhw4Zlq1evzs9z0EEHZbvsskv2t7/9LXvkkUeyrbfeOpswYUJ++vLly7N+/fplEydOzBYuXJjdcccdWUlJSXb99dfn5/nrX/+aderUKbvyyiuz5557LvvOd76Tde7cOXvmmWeavQ+aw6b6ddKkSdlBBx1Uaf997733Ks2jX2kLWmOtOvDAA7ObbropW7hwYbZgwYLsv/7rv7IhQ4ZkH3zwQX6etlQj/v73v2dbbLFFNmLEiOyMM85oc9vw3nvvZUOHDs2OP/74bO7cudnLL7+c/e///m/24osv5udJVWsa49JLL8169eqV/eEPf8gWL16c/eY3v8m6deuWXXvtta1+O9R6OqLWWJ+qauz1TGopxpKWantTnJs3h1TnNC3V9v322y878cQTK/X78uXLW7ztWZZlv/vd77I//vGP2fPPP58tWrQo+/a3v5117tw5W7hwYZZl6fq9RcKoT3/609mpp56af7x+/fps4MCB2eWXX94SzWl1pk6dmu2yyy7VTlu2bFnWuXPn7De/+U3+uX/84x9ZRGRz5szJsuyTAamgoCB788038/NMnz49Ky0tzdauXZtlWZadffbZ2U477VRp2UceeWR24IEHNvHWtA5VB+by8vKsf//+2VVXXZV/btmyZVlRUVF2xx13ZFmWZc8991wWEdm8efPy88ycOTPL5XLZP//5zyzLsuynP/1ptvnmm+f7Ncuy7Jxzzsm22267/OMjjjgiO/jggyu1Z9SoUdnXvva1Jt3GllBTwfvCF75Q42v0K21FW6hVb7/9dhYR2ezZs7Msa1s1YuXKldk222yT3X///dl+++2XD6Pa0jacc8452T777FPj9JS1pjEOPvjg7Mtf/nKl5w4//PBs4sSJbWo71Ho6irZQnxp7PdOSmmssaYm2Z1nTnJun0FznNC3R9izLKp3bVKe1tL3C5ptvnt14441J+z35x/Q++uijePzxx2PcuHH55woKCmLcuHExZ86c1M1ptV544YUYOHBgbLnlljFx4sRYsmRJREQ8/vjj8fHHH1fqv+233z6GDBmS7785c+bEzjvvHP369cvPc+CBB8aKFSvi2Wefzc+z4TIq5ukof4PFixfHm2++WakPevToEaNGjarUj2VlZTFy5Mj8POPGjYuCgoKYO3dufp599903unTpkp/nwAMPjEWLFsX777+fn6ej9fWsWbOib9++sd1228Upp5wSS5cuzU/Tr7QFbaVWLV++PCIievbsGRFtq0aceuqpcfDBB2+0nra0Db/73e9i5MiR8aUvfSn69u0bu+22W9xwww356SlrTWPstdde8eCDD8bzzz8fERFPPfVUPProozF+/Pg2tR1VqfW0R22lPkU07nqmNWmqsaQlNfbcPIXmOqdpibZXmDFjRvTu3TuGDx8e5513XqxatSo/rbW0ff369XHnnXfGhx9+GKNHj07a74VNtxl18+6778b69esrNTwiol+/fvF///d/qZvTKo0aNSpuvvnm2G677eKNN96Iiy66KMaMGRMLFy6MN998M7p06RJlZWWVXtOvX7948803IyLizTffrLZ/K6bVNs+KFSti9erVUVJS0kxb1zpU9EN1fbBhH/Xt27fS9MLCwujZs2eleYYNG7bRMiqmbb755jX2dcUy2puDDjooDj/88Bg2bFi89NJL8e1vfzvGjx8fc+bMiU6dOulX2oS2UKvKy8tj8uTJsffee8fw4cMjItpMjbjzzjvjiSeeiHnz5m00ra1sQ0TEyy+/HNOnT48zzzwzvv3tb8e8efPiG9/4RnTp0iUmTZqUtNY0xrnnnhsrVqyI7bffPjp16hTr16+PSy+9NCZOnJhfR1vYjqrUetqjtlCfIhp/PdOaNNVY0lKa4ty8uTXnOU1zq67tERFHH310DB06NAYOHBhPP/10nHPOObFo0aK46667WkXbn3nmmRg9enSsWbMmunXrFnfffXfsuOOOsWDBgmT9njyMYtMq/hMZETFixIgYNWpUDB06NH7961+3+5CItu+oo47K/77zzjvHiBEjYquttopZs2bF/vvv34Itg/bl1FNPjYULF8ajjz7a0k2pl9deey3OOOOMuP/++6O4uLilm9Mo5eXlMXLkyLjssssiImK33XaLhQsXxs9+9rOYNGlSC7eu7n7961/HjBkz4vbbb4+ddtopFixYEJMnT46BAwe2qe0AWg/XM61HWzg3b6vnNBE1t/2kk07K/77zzjvHgAEDYv/994+XXnopttpqq9TN3Mh2220XCxYsiOXLl8dvf/vbmDRpUsyePTtpG5J/TK93797RqVOnje7G/tZbb0X//v1TN6dNKCsri2233TZefPHF6N+/f3z00UexbNmySvNs2H/9+/evtn8rptU2T2lpaYcoEBX9UNt+2L9//3j77bcrTV+3bl289957TdLXHWV/33LLLaN3797x4osvRoR+pW1o7bXqtNNOiz/84Q/x0EMPxaBBg/LPt4Ua8fjjj8fbb78du+++exQWFkZhYWHMnj07fvSjH0VhYWH069ev1W9DhQEDBsSOO+5Y6bkddtgh/1GUlLWmMb71rW/FueeeG0cddVTsvPPOceyxx8Y3v/nNuPzyy9vUdlSl1tMetfb6VJP6Xs+0Jk01lrQWDTk3b07NfU7TnGpqe3VGjRoVEVGp31uy7V26dImtt9469thjj7j88stjl112iWuvvTZpvycPo7p06RJ77LFHPPjgg/nnysvL48EHH4zRo0enbk6b8MEHH8RLL70UAwYMiD322CM6d+5cqf8WLVoUS5Ysyfff6NGj45lnnqk0qNx///1RWlqaP2kePXp0pWVUzNNR/gbDhg2L/v37V+qDFStWxNy5cyv147Jly+Lxxx/Pz/OXv/wlysvL84PJ6NGj4+GHH46PP/44P8/9998f2223Xf7jBh29r19//fVYunRpDBgwICL0K21Da61VWZbFaaedFnfffXf85S9/2eijQ22hRuy///7xzDPPxIIFC/I/I0eOjIkTJ+Z/b+3bUGHvvffe6Kucn3/++Rg6dGhEpK01jbFq1aooKKh8StipU6coLy9vU9tRlVpPe9Ra69Om1Pd6pjVpqrGktWjIuXlzSHVO0xJtr86CBQsiIir1e0u0vSbl5eWxdu3atP3eRDdfr5c777wzKyoqym6++ebsueeey0466aSsrKys0t3YO7KzzjormzVrVrZ48eLsr3/9azZu3Lisd+/e2dtvv51l2SdftThkyJDsL3/5SzZ//vxs9OjR2ejRo/Ovr/iqxQMOOCBbsGBBdt9992V9+vSp9iuvv/Wtb2X/+Mc/sp/85CfN8rXdLWnlypXZk08+mT355JNZRGQ/+MEPsieffDJ79dVXsyz75Ctay8rKsnvvvTd7+umnsy984QvVfkXrbrvtls2dOzd79NFHs2222abS15wuW7Ys69evX3bsscdmCxcuzO68886sa9euG33dc2FhYfb9738/+8c//pFNnTq1TX/dc239unLlymzKlCnZnDlzssWLF2cPPPBAtvvuu2fbbLNNtmbNmvwy9CttQWusVaecckrWo0ePbNasWZW+KnjVqlX5edpijaj6jTNtZRv+/ve/Z4WFhdmll16avfDCC9mMGTOyrl27Zrfddlt+nlS1pjEmTZqUfepTn8r+8Ic/ZIsXL87uuuuurHfv3tnZZ5/d6rdDracjao31qarGXs+klmIsaYm2N9W5eXNIdU7TEm1/8cUXs4svvjibP39+tnjx4uzee+/Nttxyy2zfffdt8bZnWZade+652ezZs7PFixdnTz/9dHbuuedmuVwu+/Of/5xlWbp+b5EwKsuy7LrrrsuGDBmSdenSJfv0pz+d/e1vf2upprQ6Rx55ZDZgwICsS5cu2ac+9ansyCOPzF588cX89NWrV2df//rXs8033zzr2rVrdthhh2VvvPFGpWW88sor2fjx47OSkpKsd+/e2VlnnZV9/PHHleZ56KGHsl133TXr0qVLtuWWW2Y33XRTis1L5qGHHsoiYqOfSZMmZVn2yde0XnDBBVm/fv2yoqKibP/9988WLVpUaRlLly7NJkyYkHXr1i0rLS3NTjjhhGzlypWV5nnqqaeyffbZJysqKso+9alPZVdcccVGbfn1r3+dbbvttlmXLl2ynXbaKfvjH//YbNvd3Grr11WrVmUHHHBA1qdPn6xz587Z0KFDsxNPPHGjkyP9SlvR2mpVdcdeRFQav9tijagaRrWlbfj973+fDR8+PCsqKsq233777Oc//3ml6SlrTUOtWLEiO+OMM7IhQ4ZkxcXF2ZZbbpmdf/75lb6eubVuh1pPR9Xa6lNVTXE9k1KqsSR125vy3LyppTynSd32JUuWZPvuu2/Ws2fPrKioKNt6662zb33rW9ny5ctbvO1ZlmVf/vKXs6FDh2ZdunTJ+vTpk+2///75ICrL0vV7LsuyrO7vowIAAACAhkt+zygAAAAAOi5hFAAAAADJCKMAAAAASEYYBQAAAEAywigAAAAAkhFGAQAAAJCMMAoAAACAZIRRAAAAACQjjKJNmjVrVuRyuVi2bFmN80ybNi123XXXZG0CgOrUpWYBQEONHTs2Jk+e3KTLvPnmm6OsrKxJlwkbEkbRbk2ZMiUefPDBlm4GAABAm3LkkUfG888/39LNoB0rbOkGQHPp1q1bdOvWraWbAQAA0KaUlJRESUlJSzeDdsw7o2g29913X+yzzz5RVlYWvXr1is997nPx0ksvRUTEK6+8ErlcLu68887Ya6+9ori4OIYPHx6zZ8+u1zoef/zxGDlyZHTt2jX22muvWLRoUX6aj+kBUFcpataG/ud//id22mmnKCoqii222CKuvvrqptoUADqgdevWxWmnnRY9evSI3r17xwUXXBBZlkVExBZbbBHf/e5347jjjotu3brF0KFD43e/+12888478YUvfCG6desWI0aMiPnz5+eX52N6NDdhFM3mww8/jDPPPDPmz58fDz74YBQUFMRhhx0W5eXl+Xm+9a1vxVlnnRVPPvlkjB49Og455JBYunRpnddx/vnnx9VXXx3z58+PwsLC+PKXv9wcmwJAO5eiZlV4/PHH44gjjoijjjoqnnnmmZg2bVpccMEFcfPNNzfhFgHQkfzyl7+MwsLC+Pvf/x7XXntt/OAHP4gbb7wxP/2HP/xh7L333vHkk0/GwQcfHMcee2wcd9xxccwxx8QTTzwRW221VRx33HH5AAuaWy6zt5HIu+++G3369IlnnnkmunXrFsOGDYsrrrgizjnnnIj4JM0fNmxYnH766XH22WfXuqxZs2bFZz7zmXjggQdi//33j4iIP/3pT3HwwQfH6tWro7i4OKZNmxb33HNPLFiwoLk3DYB2pjlq1vvvvx9lZWUxceLEeOedd+LPf/5zfp6zzz47/vjHP8azzz7brNsFQPszduzYePvtt+PZZ5+NXC4XERHnnntu/O53v4vnnnsutthiixgzZkzceuutERHx5ptvxoABA+KCCy6Iiy++OCIi/va3v8Xo0aPjjTfeiP79+8fNN98ckydP9uUbNBvvjKLZvPDCCzFhwoTYcssto7S0NLbYYouIiFiyZEl+ntGj/7/27uYV2i4MAPiVj52UiMZGytAUkpA3G2VtbScrZkWxsZCF2cxO+VrwD8jS/yAsfOwm2WiWU5qyUULP4u0R8dTjfblHze9Xd50596n7Opu5Olf3Ofc/L+26uroYGhqKQqHw18/o7+9/aadSqYiIKJVK/zNyAKpNEjnrt0KhEGNjY2/6xsbG4vr6Op6env7bBACoaqOjoy+FqIh/c9brvPJ63dTW1hYREX19fe/6rKVIigPM+TaTk5PR0dERe3t70d7eHs/Pz9Hb2xsPDw9f9oz6+vqX9u8/39dbKgDgbySRswCgUj5aN1lLUUnejOJb3N7extXVVaysrMTExERkMpkol8vvxp2cnLy0Hx8f4+zsLDKZTJKhAlDlks5ZmUwmjo6O3vQdHR1Fd3d31NbWfn4CAFS909PTN79PTk4inU7LK/xY3oziWzQ1NUVzc3Ps7u5GKpWKYrEYy8vL78Ztb29HOp2OTCYT6+vrUS6XHUIOQKKSzllLS0sxPDwcuVwupqam4vj4OLa2tmJnZ+crpgNAFSoWi7G4uBhzc3Nxfn4em5ubvtTKj6YYxbeoqamJ/f39mJ+fj97e3ujp6YmNjY0YHx9/My6fz0c+n4/Ly8vo6uqKw8PDaGlpqUzQAFSlpHPW4OBgHBwcxOrqauRyuUilUrG2thYzMzNfMyEAqs709HTc39/HyMhI1NbWxsLCQszOzlY6LPgjX9OjIm5ubqKzszMuLi5iYGCg0uEAwB/JWQAAX8uZUQAAAAAkRjGKHymbzUZDQ8OHVzabrXR4APBCzgIA+Bzb9PiRSqVS3N3dfXivsbExWltbE44IAD4mZwEAfI5iFAAAAACJsU0PAAAAgMQoRgEAAACQGMUoAAAAABKjGAUAAABAYhSjAAAAAEiMYhQAAAAAiVGMAgAAACAxvwChxNQEajBoNAAAAABJRU5ErkJggg==\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# Outlier Detection\n","\n","**Outlier detection using Inter Quartile Range (IQR)**"],"metadata":{"id":"xFTKCDYoSymK"}},{"cell_type":"code","source":["def detect_outliers_iqr(df, numerical_columns):\n","    '''\n","    Create a dictionary with keys as column names and values as outliers\n","    '''\n","    outliers = {}\n","\n","    for column in numerical_columns:\n","        column_data = df[column]\n","        column_data_sorted = sorted(column_data)\n","        q1 = np.percentile(column_data_sorted, 25)\n","        q3 = np.percentile(column_data_sorted, 75)\n","        IQR = q3 - q1\n","        lwr_bound = q1 - (1.5 * IQR)\n","        upr_bound = q3 + (1.5 * IQR)\n","\n","        # Identify outliers\n","        column_outliers = df[(df[column] < lwr_bound) | (df[column] > upr_bound)][column].tolist()\n","        outliers[column] = column_outliers\n","\n","    return outliers"],"metadata":{"id":"rAKmyU6jfH6Y"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["outliers_dict = detect_outliers_iqr(cardio, numerical_columns)"],"metadata":{"id":"iTcfV0eX6c-r"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Replacing Outliers with Median"],"metadata":{"id":"0RtV57Oe3pzs"}},{"cell_type":"code","source":["# def replace_outliers_with_median(df):\n","#   for column, outliers in outliers_dict.items():\n","#     #Replace outliers with the median of the column\n","#     df[column].replace(to_replace=outliers, value=df[column].median(), inplace=True)\n","\n","# replace_outliers_with_median(cardio)\n","# outliers_dict_after_repacling_with_median= detect_outliers_iqr(cardio, numerical_columns)\n","# print(\"\\nOutliers after repacling with median:\")\n","# print(outliers_dict_after_repacling_with_median)"],"metadata":{"id":"OhqJdVVUkk82"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Clipping Outliers"],"metadata":{"id":"B3gtlgHtjkaf"}},{"cell_type":"code","source":["def clip_outliers_iqr(df, numerical_columns):\n","    '''\n","    Replace outliers in the specified numerical columns of the DataFrame\n","    with the respective lower and upper bounds using clipping\n","    '''\n","    for column in numerical_columns:\n","        column_data = df[column]\n","        column_data_sorted = sorted(column_data)\n","        q1 = np.percentile(column_data_sorted, 25)\n","        q3 = np.percentile(column_data_sorted, 75)\n","        IQR = q3 - q1\n","        lwr_bound = q1 - (1.5 * IQR)\n","        upr_bound = q3 + (1.5 * IQR)\n","\n","        # Replace outliers with the respective lower and upper bounds using clipping\n","        df.loc[:, column] = df[column].clip(lower=lwr_bound, upper=upr_bound)\n","\n","    return df"],"metadata":{"id":"pk9EKtohjjSn"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Clip outliers in the specified numerical columns and update the cardio DataFrame\n","cardio = clip_outliers_iqr(cardio, numerical_columns)\n","\n","# Print outliers after clipping\n","outliers_dict_after_clipping = detect_outliers_iqr(cardio, numerical_columns)\n","print(\"\\nOutliers after clipping:\")\n","print(outliers_dict_after_clipping)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"6pQCDZdojx8K","executionInfo":{"status":"ok","timestamp":1702896382358,"user_tz":-345,"elapsed":617,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"8b6ac73d-bf69-4d14-bf5a-186007048fce"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Outliers after clipping:\n","{'age': [], 'height': [], 'weight': [], 'ap_hi': [], 'ap_lo': [], 'bmi': []}\n"]}]},{"cell_type":"code","source":["# cardio.drop(cardio[(cardio['height'] > cardio['height'].quantile(0.975)) | (cardio['height'] < cardio['height'].quantile(0.025))].index,inplace=True)\n","# cardio.drop(cardio[(cardio['weight'] > cardio['weight'].quantile(0.975)) | (cardio['weight'] < cardio['weight'].quantile(0.025))].index,inplace=True)"],"metadata":{"id":"JfCWflKyMoQy"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Further Cleaning"],"metadata":{"id":"Sa36CA_SUQYa"}},{"cell_type":"code","source":["# Check for diastolic pressure higher than systolic as it is incorrect.\n","\n","print(f\"Diastilic pressure is higher than systolic one in {cardio[cardio['ap_lo']> cardio['ap_hi']].shape[0]} cases\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"cgJ2FGCPnRni","executionInfo":{"status":"ok","timestamp":1702896382358,"user_tz":-345,"elapsed":18,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"45cdabce-80c3-494b-f69e-f4c96e2d960f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Diastilic pressure is higher than systolic one in 112 cases\n"]}]},{"cell_type":"code","source":["# cardio = cardio[(cardio['ap_lo'] <= cardio['ap_hi'])]\n","\n","# Replacing diastolic pressure higher than systolic pressure with its median\n","cardio['ap_lo'] = np.where(cardio['ap_lo'] > cardio['ap_hi'], cardio['ap_lo'].median(), cardio['ap_lo'])\n","print(f\"Diastilic pressure is higher than systolic one in {cardio[cardio['ap_lo']> cardio['ap_hi']].shape[0]} cases\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3PRT5Upiqn1k","executionInfo":{"status":"ok","timestamp":1702896382358,"user_tz":-345,"elapsed":16,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"e87d853a-fbe4-4ef9-abda-7f50106451d8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Diastilic pressure is higher than systolic one in 0 cases\n"]}]},{"cell_type":"code","source":["cardio.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oSy6h2DnGpnZ","executionInfo":{"status":"ok","timestamp":1702896382359,"user_tz":-345,"elapsed":13,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"eb4e9d2c-59ec-4bee-a0dc-c3441923ff2e"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(69976, 15)"]},"metadata":{},"execution_count":25}]},{"cell_type":"code","source":["# Check for negative values of systolic and dystolic blood pressure\n","\n","print(f\"The number of negative values of systolic and dystolic blood pressure is in {cardio[(cardio['ap_lo']<=0) | (cardio['ap_hi'] <= 0)].shape[0]} cases\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"fjFb_I8Aq1xp","executionInfo":{"status":"ok","timestamp":1702896382359,"user_tz":-345,"elapsed":11,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"a6b17029-73c9-4522-c3a7-24016bc06922"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["The number of negative values of systolic and dystolic blood pressure is in 0 cases\n"]}]},{"cell_type":"markdown","source":["## Statistical Summary after Outliers Removal"],"metadata":{"id":"mIA3390Z1gd1"}},{"cell_type":"code","source":["numerical = cardio.loc[:, numerical_columns]"],"metadata":{"id":"dVdLDhKx195U"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1702896382359,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"},"user_tz":-345},"id":"UN3PdTsU6G44","outputId":"31fbb8c4-5927-468a-d7c4-5b57b60016f3"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["                age        height        weight         ap_hi         ap_lo  \\\n","count  69976.000000  69976.000000  69976.000000  69976.000000  69976.000000   \n","mean      53.339116    164.407118     73.928410    126.714774     81.741025   \n","std        6.765079      7.826740     13.443679     16.388214      9.018323   \n","min       33.000000    142.500000     39.500000     90.000000     65.000000   \n","25%       48.000000    159.000000     65.000000    120.000000     80.000000   \n","50%       54.000000    165.000000     72.000000    120.000000     80.000000   \n","75%       58.000000    170.000000     82.000000    140.000000     90.000000   \n","max       65.000000    186.500000    107.500000    170.000000    105.000000   \n","\n","                bmi  \n","count  69976.000000  \n","mean      27.376032  \n","std        4.868255  \n","min       14.354454  \n","25%       23.875115  \n","50%       26.391837  \n","75%       30.222222  \n","max       39.742883  "],"text/html":["\n","  <div id=\"df-3f1d4480-5974-483f-b7f5-24c4c79b2a2f\" 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>age</th>\n","      <th>height</th>\n","      <th>weight</th>\n","      <th>ap_hi</th>\n","      <th>ap_lo</th>\n","      <th>bmi</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>69976.000000</td>\n","      <td>69976.000000</td>\n","      <td>69976.000000</td>\n","      <td>69976.000000</td>\n","      <td>69976.000000</td>\n","      <td>69976.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>53.339116</td>\n","      <td>164.407118</td>\n","      <td>73.928410</td>\n","      <td>126.714774</td>\n","      <td>81.741025</td>\n","      <td>27.376032</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>6.765079</td>\n","      <td>7.826740</td>\n","      <td>13.443679</td>\n","      <td>16.388214</td>\n","      <td>9.018323</td>\n","      <td>4.868255</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>33.000000</td>\n","      <td>142.500000</td>\n","      <td>39.500000</td>\n","      <td>90.000000</td>\n","      <td>65.000000</td>\n","      <td>14.354454</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>48.000000</td>\n","      <td>159.000000</td>\n","      <td>65.000000</td>\n","      <td>120.000000</td>\n","      <td>80.000000</td>\n","      <td>23.875115</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>54.000000</td>\n","      <td>165.000000</td>\n","      <td>72.000000</td>\n","      <td>120.000000</td>\n","      <td>80.000000</td>\n","      <td>26.391837</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>58.000000</td>\n","      <td>170.000000</td>\n","      <td>82.000000</td>\n","      <td>140.000000</td>\n","      <td>90.000000</td>\n","      <td>30.222222</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>65.000000</td>\n","      <td>186.500000</td>\n","      <td>107.500000</td>\n","      <td>170.000000</td>\n","      <td>105.000000</td>\n","      <td>39.742883</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-3f1d4480-5974-483f-b7f5-24c4c79b2a2f')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-3f1d4480-5974-483f-b7f5-24c4c79b2a2f 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-3f1d4480-5974-483f-b7f5-24c4c79b2a2f');\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-7f9ca0cb-1d88-4255-92fd-55916d4f143b\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7f9ca0cb-1d88-4255-92fd-55916d4f143b')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <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-7f9ca0cb-1d88-4255-92fd-55916d4f143b button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","  <div id=\"id_2ef37caf-4655-41e0-a4bd-d17ddcf4405d\">\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('stat_summary')\"\n","            title=\"Generate code using this dataframe.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <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_2ef37caf-4655-41e0-a4bd-d17ddcf4405d button.colab-df-generate');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      buttonEl.onclick = () => {\n","        google.colab.notebook.generateWithVariable('stat_summary');\n","      }\n","      })();\n","    </script>\n","  </div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":28}],"source":["stat_summary = numerical.describe()\n","stat_summary"]},{"cell_type":"markdown","source":["## Boxplot after Outliers Removal"],"metadata":{"id":"77potdJW1kHu"}},{"cell_type":"code","source":["plt.figure(figsize=(15, 10))\n","plt.subplots_adjust(wspace=0.4, hspace=0.5)\n","\n","for i, col in enumerate(numerical.columns):\n","    plt.subplot(2, 3, i + 1)\n","    sns.boxplot(data=numerical, x=col)\n","    plt.title(col)\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":872},"id":"O801klRhaaOX","executionInfo":{"status":"ok","timestamp":1702896383925,"user_tz":-345,"elapsed":1573,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"969cfbdd-7f85-4b0b-abf8-ff83fdf6fc11"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x1000 with 6 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# Data Exploration v2"],"metadata":{"id":"ZfIjEauv9QDf"}},{"cell_type":"code","source":["cardio.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"3KG9OIniWtcc","executionInfo":{"status":"ok","timestamp":1702896383926,"user_tz":-345,"elapsed":6,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"e56cbf5e-3649-4beb-bb7c-d6f097dddcc6"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["    age  gender  height  weight  ap_hi  ap_lo  cholesterol  gluc  smoke  alco  \\\n","0  50.0       2   168.0    62.0    110   80.0            1     1      0     0   \n","1  55.0       1   156.0    85.0    140   90.0            3     1      0     0   \n","2  52.0       1   165.0    64.0    130   70.0            3     1      0     0   \n","3  48.0       2   169.0    82.0    150  100.0            1     1      0     0   \n","4  48.0       1   156.0    56.0    100   65.0            1     1      0     0   \n","\n","   active  cardio        bmi  age_group  bp_group  \n","0       1       0  21.967120        2.0       1.0  \n","1       1       1  34.927679        2.0       2.0  \n","2       0       1  23.507805        2.0       2.0  \n","3       1       1  28.710479        2.0       2.0  \n","4       0       0  23.011177        2.0       1.0  "],"text/html":["\n","  <div id=\"df-24ba4a0e-ac0c-43fe-85d2-52366e233830\" 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>age</th>\n","      <th>gender</th>\n","      <th>height</th>\n","      <th>weight</th>\n","      <th>ap_hi</th>\n","      <th>ap_lo</th>\n","      <th>cholesterol</th>\n","      <th>gluc</th>\n","      <th>smoke</th>\n","      <th>alco</th>\n","      <th>active</th>\n","      <th>cardio</th>\n","      <th>bmi</th>\n","      <th>age_group</th>\n","      <th>bp_group</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>50.0</td>\n","      <td>2</td>\n","      <td>168.0</td>\n","      <td>62.0</td>\n","      <td>110</td>\n","      <td>80.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>21.967120</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>55.0</td>\n","      <td>1</td>\n","      <td>156.0</td>\n","      <td>85.0</td>\n","      <td>140</td>\n","      <td>90.0</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>34.927679</td>\n","      <td>2.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>52.0</td>\n","      <td>1</td>\n","      <td>165.0</td>\n","      <td>64.0</td>\n","      <td>130</td>\n","      <td>70.0</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>23.507805</td>\n","      <td>2.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>48.0</td>\n","      <td>2</td>\n","      <td>169.0</td>\n","      <td>82.0</td>\n","      <td>150</td>\n","      <td>100.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>28.710479</td>\n","      <td>2.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>48.0</td>\n","      <td>1</td>\n","      <td>156.0</td>\n","      <td>56.0</td>\n","      <td>100</td>\n","      <td>65.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>23.011177</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-24ba4a0e-ac0c-43fe-85d2-52366e233830')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-24ba4a0e-ac0c-43fe-85d2-52366e233830 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-24ba4a0e-ac0c-43fe-85d2-52366e233830');\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-fa99c673-61df-464a-8122-bae7df5d5479\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fa99c673-61df-464a-8122-bae7df5d5479')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <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-fa99c673-61df-464a-8122-bae7df5d5479 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":30}]},{"cell_type":"markdown","source":["## Histograms"],"metadata":{"id":"HVdDOlxV3K11"}},{"cell_type":"code","source":["plt.figure(figsize=(15, 10))\n","plt.subplots_adjust(wspace=0.4, hspace=0.5)\n","\n","for i, col in enumerate(numerical.columns):\n","    plt.subplot(2, 3, i + 1)\n","    sns.histplot(data=numerical, x=col, binwidth = 5, kde = True)\n","    plt.title(f\"Histogram of {col}\")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":872},"id":"vPMvRlpzg8x1","executionInfo":{"status":"ok","timestamp":1702896593347,"user_tz":-345,"elapsed":3818,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"}},"outputId":"6ffcbd30-6e6b-4dff-be76-86dccc413976"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x1000 with 6 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["## Heatmap of Correlation Matrix"],"metadata":{"id":"sg2v72UC3RyF"}},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":898},"executionInfo":{"elapsed":2267,"status":"ok","timestamp":1702896394143,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"},"user_tz":-345},"id":"HTwAOdvj6HQF","outputId":"560fa5eb-e702-42e9-e888-4ec1a7c825e5"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x1000 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# correlation_matrix = numerical.corr()\n","# correlation_matrix\n","\n","# sns.heatmap(correlation_matrix, cmap = 'crest', annot = True)\n","\n","correlation_matrix = cardio.corr()\n","plt.figure(figsize=(15, 10))\n","sns.heatmap(correlation_matrix, cmap = 'crest', annot = True);"]},{"cell_type":"markdown","source":["## Count Plot"],"metadata":{"id":"IRLrp0CW393w"}},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":872},"executionInfo":{"elapsed":2071,"status":"ok","timestamp":1702896627082,"user":{"displayName":"Ngawang Gurung","userId":"02506769706990431514"},"user_tz":-345},"id":"FMJr3Cuo88Y4","outputId":"e550810b-f316-400b-83b6-81f3ecd53933"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x1000 with 9 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Count of all categorical attributes\n","\n","plt.figure(figsize=(15, 10))\n","plt.subplots_adjust(wspace=0.4, hspace=0.5)\n","\n","for i, col in enumerate(categorical.columns):\n","    plt.subplot(3, 3, i + 1)\n","    sns.countplot(data=categorical, x=col, color = 'steelblue')\n","    plt.title(f\"Count plot of {col}\")\n","\n","plt.show()"]},{"cell_type":"code","source":["cardio.to_csv('cardio_preprocessed', index = False)"],"metadata":{"id":"X_uHtUvS8_2s"},"execution_count":null,"outputs":[]}],"metadata":{"colab":{"provenance":[],"gpuType":"T4"},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"},"accelerator":"GPU"},"nbformat":4,"nbformat_minor":0}