🧩 Add Heart Disease Risk Analysis and Visualization Project in Python

📝 Description

This issue proposes adding a Python project that analyzes and visualizes simulated heart disease data.
The script uses pandas, numpy, and matplotlib to generate, analyze, and visualize patient health parameters such as cholesterol, blood pressure, and heart rate.

🎯 Objectives

• Generate synthetic patient data for analysis.
• Compute a custom risk score based on key health metrics.
• Categorize patients into age groups (Young, Middle, Old).
• Create insightful visualizations:
  • Age distribution histogram
  • Chest pain type frequency bar chart
  • Disease ratio pie chart
• Display top 5 patients with the highest calculated risk.

📦 Technologies Used

• Python 3.x
• pandas
• numpy
• matplotlib

💡 Expected Outcome

A reproducible Python script (finalproj.py) that:

• Generates synthetic health data
• Computes a heart disease RiskScore
• Provides visual insights through graphs
• Prints important statistical summaries

🧩 Deliverables

• Python script file: finalproj.py
• Example plots (optional: attach screenshots)
• README description explaining project features and usage

🏷️ Tags

Python Data Analysis Visualization Healthcare Beginner Project