This course will demonstrate and practice the use of R in creating and presenting data visualizations. After a short introduction to R tools, especially the tidy verse packages, the course will cover principles for data visualization, examples of good and bad visualizations, and the use of ggplot2 to create static publication-quality graphs. Students will also have the chance to learn about modern web-based interactive graphics using the html widgets packages as well as dynamic graphics and dashboards that can be created using flex dashboard and Shiny. The course will explore ways in which bioinformatics data can be presented using static and dynamic visualizations. Finally, RMarkdown and other packages will be used to develop webpages for presenting data visualizations as self-explanatory and possibly interactive storyboards.