Measuring Global Wellbeing: Development, Income & Pollution
This project analyzes global wellbeing using life expectancy, GDP per capita, a derived happiness proxy, and PM2.5 air-pollution data. The workflow merges Gapminder development indicators with World Bank pollution records, computes basic descriptive statistics, and evaluates variability using coefficients of variation. Pairwise relationships are explored through scatterplots, KDE distributions, and a masked correlation heatmap. The analysis highlights how income, longevity, and a composite wellbeing proxy relate across countries, and how their distributions differ in scale, spread, and inequality.
The project reflects how analysts use global datasets to understand development dynamics, environmental impacts, and socioeconomic trends across regions.