Muen1/pca-africa-malaria-analysis

PCA implementation from scratch using African malaria dataset # PCA Africa Malaria Analysis ## Overview This project implements Principal Component Analysis (PCA) from scratch using NumPy on an African malaria dataset. The analysis demonstrates dimensionality reduction while preserving 95% of the variance in the data. ## Dataset - **Source**: African malaria indicators dataset - **Features**: 30+ columns including malaria incidence, healthcare metrics, sanitation, and population data - **Missing Values**: Handled by mean imputation - **Non-numeric Data**: Country names and codes preserved for analysis context ## Installation ### Prerequisites - Python 3.8+ - pip (Python package manager) ### Installation Steps 1. Clone the repository: ```bash git clone github.com cd pca-africa-malaria-analysis