arpans-actuarial-kit
Provided here is an ever growing assortment of toolkits and examples of analyses that would be done in actuarial science.
A Python package for quick, comprehensive exploratory data analysis—especially useful in actuarial science for inspecting frequency, severity, exposures, and rating‑factor data.
🚀 Features
- Data profiling: Automatic detection of variable types (continuous, categorical, date/time) + missing‑value summary.
- Outlier detection: Z‑score based default with configurable thresholds.
- Visualizations:
- Histograms & boxplots (continuous)
- Count plots (categorical)
- Correlation heatmap (correlogram)
- Pairwise scatter plots (for numeric variables)
- Actuarial-specific examples: Claim frequency/severity data handling.
- General Data Science examples:
📦 Installation
git clone https://github.com/arpanreddy/arpans-actuarial-kit.git
cd arpan s‑actuarial‑kit
pip install -e .