seunpaul-tech/global-tuberculosis-burden-analysis_1

This project is a data analysis report on global tuberculosis, not a piece of software to install. It uses country-level data from the World Health Organization to study how tuberculosis affects populations around the world, covering things like how many people catch it, how many die from it, and how it overlaps with HIV in different regions and years. The workflow starts with PostgreSQL, a database system, where the raw WHO data is cleaned up: duplicate checks, standardizing country names, converting region codes into full names, and filling in missing values. From there, the cleaned data is loaded into Power BI, a dashboard and reporting tool, where calculations called DAX measures turn the numbers into an interactive report with filters for year, country, and region. Figma, a design tool, was used beforehand to plan out how the dashboard should look before it was built in Power BI. The analysis is organized around six themes: overall disease burden, how many new cases appear each year, death rates, the relationship between HIV and tuberculosis, how well countries detect cases, and burden adjusted for each country's population size. The README lists specific findings, such as India having the highest number of estimated cases, South-East Asia carrying the largest regional burden, and Namibia having the highest incidence rate relative to population. This project is a portfolio style analysis meant to be explored through its Power BI dashboard rather than run as code. The README does not mention a license, so the terms for reusing the analysis or dashboard are not stated.