Exploring our data with graphs allows us to visualize relationships, spot unusual observations, or find unexpected patterns. In this session we introduce how to effectively use the ggplot2 package to explore and visualize data in R. With its consistent syntax and layered approach to making graphics, ggplot2 has revolutionized data visualization. What previously would have required hours of tedious programming can now be accomplished in a few lines of ggplot2 code. This workshop will introduce the logic behind ggplot2, how to use ggplot2 to explore your data, and how to customize and polish ggplot2 graphs. The session will assume an understanding of the material in the preceding sessions and will build on a common research case, using Albemarle Real Estate Property data (though each workshop may also introduce additional examples and data).
Instructor
Clay Ford - Senior Research Data Scientist for Statistics
For workshop materials, please visit https://uvastatlab.github.io/phdplus2020/.