❤️ Heart Disease EDA Dashboard

Project Overview

This project performs Exploratory Data Analysis (EDA) on the Heart Disease dataset to identify patterns, trends, and relationships between health-related variables.

Objectives

• Clean and preprocess data
• Perform exploratory analysis
• Generate visual insights
• Build an interactive dashboard

Technologies Used

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Plotly
• Streamlit

Dashboard Features

• Dataset Preview
• KPI Metrics
• Age Distribution
• Gender Distribution
• Heart Disease Count
• Correlation Heatmap
• Age vs Cholesterol Analysis

Project Structure

EDA_Project ├── Dashboard ├── Data ├── report ├── screenshots ├── eda.py ├── charts.py └── requirements.txt

Run Locally

pip install -r requirements.txt
python -m streamlit run Dashboard/app.py

Conclusion

The project demonstrates how Exploratory Data Analysis can reveal meaningful insights from healthcare datasets using interactive visualizations.