This project provides a comprehensive analysis of debt and economic indicators for West African countries using World Bank data. It includes automated data fetching, risk classification, sustainability metrics, and interactive visualizations.

• Fetches debt and economic data for 16 West African countries from the World Bank.
• Calculates debt-to-GDP, debt per capita, and sustainability metrics.
• Classifies countries into debt risk levels (Critical, High, Medium, Low).
• Generates interactive dashboards and visualizations using Plotly.
• Saves processed data and visualizations as HTML and CSV files.

• Python 3.7+
• wbgapi
• pandas
• numpy
• plotly

Install dependencies with:

pip install wbgapi pandas numpy plotly

Run the main analysis script:

python Africa.py

This will:

• Fetch and process the data
• Display interactive visualizations
• Save HTML files for each visualization
• Save the processed data as comprehensive_debt_analysis.csv

• Africa.py: Main analysis and visualization script.
• Interactive_data.py: Example script for interactive data exploration.
• comprehensive_debt_analysis.csv: Output data file (generated after running).
• *.html: Output visualization files.

You can modify the list of countries or indicators in Africa.py by editing the self.countries and self.indicators dictionaries in the WestAfricaDebtAnalyzer class.

This project is for educational and research purposes.