Loreenatenge/kenya-inflation-analysis

# Kenya Inflation Drivers Analysis (1980–2024) This project looks at what has been driving inflation in Kenya over the past four decades using annual World Bank data. It combines data cleaning, exploratory analysis, correlation analysis, and OLS regression modelling to identify the key statistical drivers of Kenya's inflation rate. Live dashboard: kenya-inflation-analysis-cu… ## What the project covers The analysis examines five variables: inflation, exchange rate, broad money supply, GDP growth, and a food production index. Two OLS regression models are estimated and compared, with attention to multicollinearity between the explanatory variables. ## Tools Python, pandas, matplotlib, seaborn, statsmodels, Streamlit ## Data source World Bank - World Development Indicators ## Project structure data/ - raw and cleaned datasets notebooks/ - exploratory data analysis src/ - data cleaning and fetching scripts dashboard/ - Streamlit app