Description
Introduction to Data Visualization: Creating Informative Figures in R is a four-day workshop focusing on three major topics: 1) theories of graphical design and perception; 2) how to translate these theories to create figures that are informative, clear, and compelling; and 3) using flexible tools in R (especially ggplot2) both for rapid data visualization and creation of publication-quality figures. Relative to other introductory courses on data visualization in R, this workshop emphasizes the principles of graphical perception and teaches you to categorize figures according to a set of graphical idioms that are best suited for different purposes. Throughout the workshop, we will use published figures in the social and behavioral sciences to illustrate both good and bad applications of design and visualization principles. You will also learn how to use the outstanding data visualization tools available in R, culminating in a full walkthrough of a complex figure with custom annotations.
