Diabetes & Public Health Data Analysis

An end-to-end data analytics project analyzing diabetes and public health data for approximately 254,000 individuals. The project explores the relationships between lifestyle and dietary habits, healthcare accessibility, and demographic factors to identify patterns associated with diabetes and health outcomes.

Using Python, Power Query, DAX, and Power BI, the project involved data cleaning, transformation, exploratory analysis, and interactive dashboard development to turn raw data into meaningful insights and support data-driven public health decisions.