data-science-toolkit

arpans-actuarial-kit

Provided here is an ever growing assortment of toolkits and examples of analyses that would be done in actuarial science.

EDA Toolkit

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 .