Heart Disease Risk Analysis and Visualization Project in Python

[AishVerse]

🧩 Heart Disease Risk Analysis and Visualization — Python Project

🔗 Related Issue

Closes #912

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📝 Description

This pull request adds a Python project that performs heart disease risk analysis using simulated patient data.
The script calculates a Risk Score for each patient and visualizes important insights using matplotlib charts.

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⚙️ Features Implemented

• Generates synthetic patient dataset using numpy and pandas
• Calculates health metrics:
  • Average Cholesterol
  • Average Resting BP
  • Average Heart Rate
• Categorizes patients by age groups (Young, Middle, Old)
• Computes a Risk Score based on weighted health parameters
• Displays top 5 high-risk patients
• Generates three visualizations:
  • 📊 Age distribution histogram
  • 📈 Chest pain type frequency bar chart
  • 🥧 Disease ratio pie chart

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💻 Code Overview

File: finalproj.py

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# Generate synthetic data
np.random.seed(111)
data = {
    'Age': np.random.randint(29, 77, 300),
    'Cholesterol': np.random.randint(150, 300, 300),
    'RestingBP': np.random.randint(90, 180, 300),
    'MaxHeartRate': np.random.randint(70, 190, 300),
    'ChestPainType': np.random.choice(['Typical', 'Atypical', 'Non-Anginal', 'Asymptomatic'], 300),
    'Disease': np.random.choice([0, 1], 300, p=[0.45, 0.55])
}