dsalvin/african-governance-analysis

# African Governance Analysis Dashboard ## Overview A comprehensive data analytics platform that extracts, analyzes, and visualizes governance indicators across 20 Sub-Saharan African countries. This system combines statistical analysis, machine learning, and policy research to provide actionable insights for governance improvement and development policy. The project demonstrates advanced data science capabilities applied to real-world governance challenges, producing both technical analysis and policy-ready recommendations. --- ## Key Features ### Advanced Analytics - **Multi-dimensional Analysis**: Processes 7 governance and economic indicators from World Bank data - **Statistical Modeling**: Calculates trends, correlations, and significance testing - **Machine Learning**: K-means clustering to identify governance patterns across countries - **Time Series Analysis**: Tracks governance evolution from 2015-2024 ### Policy Intelligence - **Composite Scoring**: Creates unified governance scores for country comparison - **Trend Identification**: Distinguishes improving vs declining governance trajectories - **Performance Clustering**: Groups countries by governance characteristics - **Development Correlations**: Analyzes relationships between governance and economic outcomes ### Comprehensive Outputs - **Visual Dashboard**: 9-chart analytical dashboard with key insights - **Policy Brief**: Executive summary with targeted recommendations - **Data Exports**: Clean datasets for further research and analysis --- ## Data Sources and Indicators ### World Bank Governance Indicators - **Control of Corruption** (CC.EST): Measures perceptions of corruption in public sector - **Government Effectiveness** (GE.EST): Quality of public services and policy implementation - **Political Stability** (PV.EST): Likelihood of political instability and violence - **Rule of Law** (RL.EST): Quality of contract enforcement and property rights - **Regulatory Quality** (RQ.EST): Govern …