{ "cells": [ { "cell_type": "markdown", "id": "d2bb41e9", "metadata": {}, "source": [ "# Importing the dataset" ] }, { "cell_type": "code", "execution_count": 1, "id": "7e596435", "metadata": {}, "outputs": [], "source": [ "# import libraries\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns" ] }, { "cell_type": "code", "execution_count": 2, "id": "5a475983", "metadata": {}, "outputs": [], "source": [ "# Read the dataset\n", "dataset_path = \"cvd_data_cleaned.csv\"\n", "# dataset_path = \"C:\\My\\Top-up Degree\\Data Science\\Data Science - Assignment\\Data set\\Kaggle\\Cardiovascular Diseases Risk Prediction Dataset\\CVD_cleaned.csv\"\n", "data = pd.read_csv(dataset_path)" ] }, { "cell_type": "code", "execution_count": 3, "id": "43bd7f5f", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
\n", " | General_Health | \n", "Checkup | \n", "Exercise | \n", "Heart_Disease | \n", "Skin_Cancer | \n", "Other_Cancer | \n", "Depression | \n", "Diabetes | \n", "Arthritis | \n", "Sex | \n", "Age_Category | \n", "Height_(cm) | \n", "Weight_(kg) | \n", "BMI | \n", "Smoking_History | \n", "Alcohol_Consumption | \n", "Fruit_Consumption | \n", "Green_Vegetables_Consumption | \n", "FriedPotato_Consumption | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | \n", "Poor | \n", "Within the past 2 years | \n", "No | \n", "No | \n", "No | \n", "No | \n", "No | \n", "No | \n", "Yes | \n", "Female | \n", "70-74 | \n", "150.0 | \n", "47.63 | \n", "18.01 | \n", "Yes | \n", "0.0 | \n", "30.0 | \n", "16.0 | \n", "12.0 | \n", "
1 | \n", "Very Good | \n", "Within the past year | \n", "No | \n", "Yes | \n", "No | \n", "No | \n", "No | \n", "Yes | \n", "No | \n", "Female | \n", "70-74 | \n", "165.0 | \n", "77.11 | \n", "28.29 | \n", "No | \n", "0.0 | \n", "30.0 | \n", "0.0 | \n", "4.0 | \n", "
2 | \n", "Very Good | \n", "Within the past year | \n", "Yes | \n", "No | \n", "No | \n", "No | \n", "No | \n", "Yes | \n", "No | \n", "Female | \n", "60-64 | \n", "163.0 | \n", "88.45 | \n", "33.47 | \n", "No | \n", "4.0 | \n", "12.0 | \n", "3.0 | \n", "16.0 | \n", "
3 | \n", "Poor | \n", "Within the past year | \n", "Yes | \n", "Yes | \n", "No | \n", "No | \n", "No | \n", "Yes | \n", "No | \n", "Male | \n", "75-79 | \n", "180.0 | \n", "93.44 | \n", "28.73 | \n", "No | \n", "0.0 | \n", "30.0 | \n", "30.0 | \n", "8.0 | \n", "
4 | \n", "Good | \n", "Within the past year | \n", "No | \n", "No | \n", "No | \n", "No | \n", "No | \n", "No | \n", "No | \n", "Male | \n", "80+ | \n", "191.0 | \n", "88.45 | \n", "24.37 | \n", "Yes | \n", "0.0 | \n", "8.0 | \n", "4.0 | \n", "0.0 | \n", "