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MICKY99421/health-development-analytics

Domaine:

healthcare

Type de record:

project
Créateur:
MIC
Hôte:
Analytics Engineering Capstone using DuckDB, SQL, Python, Machine Learning and Dashboarding to analyze malaria incidence and health expenditure across selected African countries. # Health & Development Analytics ## Overview This project analyzes malaria incidence and health expenditure using DuckDB, SQL, Python, machine learning, and dashboards. ## Workflow Load Data → Quality Checks → SQL JOIN → Window Functions → Analysis → Machine Learning → Dashboard ## Key Findings - Malaria incidence generally declined. - Health spending generally increased. - SQL enabled integration of multi-source data. - KMeans segmented country-year observations.