peter-munyalo/kenya-poverty---conlict-analysis

# Kenya Poverty & Conflict Dashboard ## 📊 Project Overview This project analyzes the relationship between **poverty** and **conflict** across all 47 counties in Kenya using Python and Power BI. ## 🎯 Key Findings - **Critical counties**: Mandera, Turkana, Marsabit (high poverty + high conflict) - **Urban conflict**: Nairobi (low poverty but high conflict) - **Correlation**: 0.505 positive correlation between poverty and conflict ## 🛠️ Tools Used - **Python**: Data cleaning, merging, geospatial processing - **Power BI**: Interactive dashboards, maps, visualizations ## 📁 Files - `/data/raw` - Original datasets from HDX and UCDP - `/data/processed` - Cleaned data ready for analysis - `/python` - Python scripts for data processing - `/powerbi` - Power BI dashboard file - `/outputs` - Final GeoJSON and screenshots ## 📸 Dashboard Preview [ ] ## 🚀 How to Run 1. Run Python scripts in order: - `01_clean_poverty.py` - `02_clean_conflict.py` - `03_merge_data.py` - `04_create_geojson.py` 2. Open `powerbi/Kenya_Poverty_Conflict_Dashboard.pbix` in Power BI ## 📝 Data Sources - **Poverty data**: HDX Humanitarian Data Exchange - **Conflict data**: UCDP (Uppsala Conflict Data Program) - **Shapefile**: Kenya counties ## 👤 Author [peter munyalo] ## 📅 Date February 2026