In this two-day course, students will learn to build and customize ggplot graphics. The ggplot2 package is built upon the Grammar of Graphics of Leland Wilkenson. Wilkenson described how all quantitative data visualizations share common component elements. Learning this grammar enables efficient construction (or modification of) of professional graphics.
This course will teach the core elements (data, aesthetics, and geometries) as well as more advanced topics of information communication and styling (annotation, themes, and facets). Class exercises will cover common visualization tasks such as rescaling axes, managing legends, reordering categories, and highlighting data elements of special interest.
Students are encouraged to bring data and graph ideas based on their own work. The course content assumes some prior basic R experience and will require a current install of both R and RStudio.
Dr. Ashton Drew is owner of data consulting firm KDV Decision Analysis LLC and an R Studio Certified Tidyverse and Shiny instructor.