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 session 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 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).
Please register here for further instructions on course materials and Zoom.
INSTRUCTORS
Michele Claibourn, Director of Research Data Services and the Social, Natural, and Engineering Sciences at the University of Virginia Library
Jennifer Huck, Data Librarian
Clay Ford, Senior Research Scientist/Statistician