Insurance Fundamentals - Shiny App

This is a Shiny for Python application demonstrating key insurance concepts through interactive visualizations.

Features

The app includes five interactive modules:

1. Law of Large Numbers: Demonstrates how observed probability converges to true probability as sample size increases
2. Risk Pooling: Shows how insurance distributes risk across many policyholders
3. Balance Sheet: Visualizes insurance company balance sheet components and the impact of loss ratios
4. Premium Calculation: Illustrates how insurance premiums are calculated
5. Role of Capital: Demonstrates how capital protects insurance companies from bankruptcy

Requirements

• Python 3.7+
• Packages: shiny, pandas, numpy, matplotlib, rsconnect-python

Installation

1. Clone this repository
2. Install dependencies:

   pip install -r requirements.txt
   

Usage

Run the app locally:

shiny run app.py

Deployment to shinyapps.io

1. Create an account on shinyapps.io
2. Install rsconnect-python:

   pip install rsconnect-python
   

3. Configure your account:

   rsconnect add --name shinyapps --token YOUR_TOKEN --secret YOUR_SECRET
   

4. Deploy the app:

   rsconnect deploy shiny . --name shinyapps --title InsuranceFundamentals
   

Project Structure

• app.py: Main Shiny application file
• modules/: Directory containing the demonstration modules
  • law_of_large_numbers.py: Law of Large Numbers demonstration
  • risk_pooling.py: Risk Pooling demonstration
  • balance_sheet.py: Balance Sheet demonstration
  • premium_calculation.py: Premium Calculation demonstration
  • capital_role.py: Capital Role demonstration
• requirements.txt: List of Python dependencies