crayglockes/kenya-economic-dashboard

An interactive macroeconomic dashboard tracking Kenya's key economic indicators from 2000–2023, built with Python, Dash, and the World Bank API. # 🇰🇪 Kenya Economic Indicators Dashboard > An interactive macroeconomic dashboard tracking Kenya's key economic > indicators from 2000–2023, built with Python, Dash, and the World Bank API. **🚀 Live Demo →** ## Overview This dashboard provides data-driven insights into Kenya's economic trajectory through 6 interactive visualizations covering growth, inflation, trade, debt sustainability, and financial inclusion. ## Key Features - **14 World Bank indicators** auto-fetched and cached (24h TTL) - **Bundled fallback dataset** committed to repo — app loads even if API is down - **Interactive year-range filtering** across all charts and KPI cards simultaneously - **Historical event overlay** — maps economic shocks (2007 violence, 2020 COVID) to data - **Debt sustainability gauge** with IMF 60% benchmark marker - **Correlation heatmap** for multivariate economic cycle analysis - **Mobile-responsive** layout via Bootstrap grid ## Tech Stack | Layer | Technology | |---|---| | Data | World Bank API (`wbgapi`) | | Processing | Pandas, NumPy | | Visualization | Plotly, Dash | | UI Framework | Dash Bootstrap Components | | Deployment | Render (Gunicorn, single worker) | | Testing | Pytest (16 unit tests) | ## Methodology **Data sourcing:** World Bank Open Data API (free, no key required) **Gap handling:** Linear interpolation (≤ 2 yr internal gaps), ffill (trailing), bfill (leading) **Derived metrics:** Trade balance, debt-to-revenue ratio, 3-year rolling GDP average ## Local Setup ```bash git clone github.com cd kenya-economic-dashboard pip install -r requirements.txt python app/dashboard.py # Open localhost ``` ## Skills Demonstrated `Data Engineering` `API Integration` `Time-Series Analysis` `Dashboard Design` `Python` `Pandas` `Plotly Dash` `Statistical Visualization` `DevOps` ## Data Source World Bank Open Data — data.worldbank.org All data is public domain and freely redistributable.