These projects use data science tools (R and Python/Jupyter) to analyze and visualize public health outcomes, focusing on regional comparisons and factors like hygiene, healthcare systems, and mortality.
A data analysis mini-project exploring the correlation between access to basic handwashing facilities and child morta...
An R-based data analysis project comparing health outcomes across Armenia, Georgia, and Azerbaijan. It explores how s...
An R Markdown project analyzing and visualizing healthcare outcomes (life expectancy, mortality, spending, risk facto...