The thesis explores how traffic and transport insights can be unveiled using data visualization techniques in R, specifically with ggplot2. It highlights the growing problem of traffic congestion and its socio-economic and environmental impacts. The study emphasizes R’s capabilities in analyzing and visualizing traffic data through robust statistical methods and various R packages. These tools enable traffic volume analysis, congestion mapping, and temporal trend exploration to aid urban planners and policymakers. The thesis applies these methods to real-world datasets, showcasing their adaptability for traffic management.