An interactive data analytics project exploring simulated disease outbreak trends across African countries (2015–2025). This project combines Python for data cleaning & transformation with Power BI for dashboard storytelling — highlighting case trends, fatality risk (CFR%), demographic patterns, and country-level outbreak burden.
# africa-disease-outbreak-analytics
An interactive data analytics project exploring simulated disease outbreak trends across African countries (2015–2025). This project combines Python for data cleaning & transformation with Power BI for dashboard storytelling — highlighting case trends, fatality risk (CFR%), demographic patterns, and country-level outbreak burden.