Learning Path

Data Types and Scales → Case Studies in Multivariate Visualization

A comprehensive learning path for data scientists aiming to master visualization of multivariate datasets. It covers foundational data and visualization concepts, progresses through specific techniques such as scatterplot matrices, parallel coordinates, radar charts, glyphs, and small multiples, and culminates in interactive exploration and dimensionality reduction visualization. Practical implementation in Python and R is integrated throughout.