AmoloWashington/hiv-poverty-analysis-africa

# HIV & Multidimensional Poverty Analysis in Africa This is a personal data project exploring the relationship between HIV prevalence and multidimensional poverty indicators in African countries, with a focus on sub-Saharan and East African regions. ## 📊 Objectives - Track HIV trends in countries contributing to 75% of global and regional burdens - Visualize temporal patterns and regional disparities - Merge and analyze poverty indicators against HIV metrics - Explore mortality data in East African Community (EAC) countries - Output clean and interactive visualizations using R Markdown ## 📁 Files Included - `washingtone_amolo.rmd`: Main analysis file (R Markdown) - `HIV data 2000–2023.csv`: HIV prevalence dataset from WHO - `multidimensional_poverty.csv`: Poverty indicators dataset from the World Bank - `child_mortality.csv`: Under-five and neonatal mortality data from the UN - Shapefiles for EAC maps: Downloaded from GADM.org ## 🔧 Tools Used - R, ggplot2, lme4, dplyr, sf, rnaturalearth - Mixed-effects modeling and geospatial visualization ## 🚀 Author Washingtone Odhiambo Amolo --- > "Data is the canvas of reality — let’s paint something insightful."