Abstract
This workshop focuses on principles and techniques for the visualization of data, with an equal emphasis on theory and implementation. Drawing on classic works by Cleveland (Visualizing Data), Tufte (The Visual Display of Quantitative Information), and Wilkinson (The Grammar of Graphics), a range of best practices for visualization are illustrated. Recently developed techniques for large-scale, 3D, and interactive visualization are also discussed. For each of these approaches, methods for creating similar graphics in the R open-source statistical language are demonstrated, using packages such as ggplot2, lattice, and others. Interactive visualization packages such as playwith, shiny and others are also explored.