This final report explores global development trends using the Gapminder dataset. The project includes eight data visualizations created with different chart types such as scatterplots, line charts, boxplots, bar charts, histograms, heatmaps, bubble charts, and an interactive Plotly visualization. The analysis focuses on relationships between GDP per capita, life expectancy, and population growth across countries and continents over time.

Final capstone project for the Data Visualization course analyzing global EV adoption trends using IEA datasets and R visualizations.

An R-based statistical analysis of the World Happiness Report 2024 dataset, examining happiness-related indicators through visualization, clustering, PCA, and regression analysis.

Final Project - IPL Player Analysis