Heart Disease Risk Analytics

A data analytics mini-site based on data/Heart_Disease_Prediction.csv. Includes EDA artifacts and a project structure designed for extension into predictive modeling and monitoring.

Dataset KPIs

Rows
270
Positive Rate (target=1)
0.444
Avg Missingness (all columns)
0.00%
Target column: Heart Disease (Presence=1, Absence=0)

EDA Figures

Age By Target
Age By Target
Cholesterol By Target
Cholesterol By Target
Correlation Matrix
Correlation Matrix
Target Distribution
Target Distribution

Enable GitHub Pages

  1. Push this repo to GitHub.
  2. Go to Settings → Pages.
  3. Select Deploy from a branch.
  4. Choose main and /(root).

Reproducibility

Rebuild figures locally: 
pip install -r requirements.txt
python scripts/build_reports.py