Medical Malpractice Claims — Interactive Dashboard (Dash/Plotly)

The project includes an exploratory data analysis and an interactive dashboard for exploring medical malpractice claims at scale.

Data source (not included): Kaggle — Medical Malpractice Insurance Dataset
https://www.kaggle.com/datasets/gabrielsantello/medical-malpractice-insurance-dataset

Download the CSV/XLSX and put it in data/ (recommended name: medicalmalpractice.csv).

Setup (Python 3.8)

python -m venv venv
source venv/bin/activate          # Windows: venv\Scripts\activate
pip install -r malpractice_requirements.txt
python src/app.py

Open http://127.0.0.1:8050

Notes

• Large data friendly: k-means fit uses ≤20k rows; silhouette uses ≤5k rows. Tune MAX_ROWS_KMEANS / MAX_ROWS_SILH near the top of src/app.py if needed.
• Figures auto-save: PNGs are written to assets/ via Plotly (kaleido) and Matplotlib (Agg).
• Dashboard Tabs: Overview, EDA (hist/box/QQ/corr), Clustering (k-means with PCA), Regression (OLS).
• This repo does not redistribute the dataset. Please follow the dataset's terms of use on Kaggle.