Data Visualization in R with ggplot2

Discover how to create informative and visually appealing data visualizations using ggplot2, the leading visualization package for R. In this course, Mike Chapple shows how to work with ggplot2 to create basic visualizations, how to beautify those visualizations by applying different aesthetics, and how to visualize data with maps. Throughout the course, Mike also covers key concepts such as the grammar of graphics and how to apply different geometries to visualize data. To wrap up, he shares a case study that lends a practical context to the concepts covered in the course.

Learning objectives
Create basic data visualizations using ggplot2, including scatterplots, line graphs, bar charts, histograms, and boxplots.
Customize the appearance of their visualizations by modifying background elements, axes, scales, legends, and themes in ggplot2.
Given a dataset, select and apply appropriate geometry types and aesthetic mappings to effectively represent the data using ggplot2.
Create geospatial visualizations using ggplot2, including plotting points on a map and filling map regions with data.
Demonstrate—through the course's case study—the ability to combine multiple ggplot2 techniques to explore and visualize a real-world dataset about colleges and universities in the United States.