Knowing how to annotate ggplots is the key in ensuring clear visualizations in R. In this course, Annotating ggplot2 Visualizations in R, you will learn how to add annotations and support elements so that anybody can understand your charts.
First, you will learn how to work on ggplot legends which are crucial elements of charts that provide clarity on color or shape encoded variables.
Next, you will discover how to use text based annotations which can be simple text snippets, but also whole phrases or even tables that are added to a plot. Then, you will delve into using interactive charts that show labels upon user interaction.
Finally, you will explore other support elements like lines, smoothers, rectangles, or circles.
When you are finished with this course, you will have the skills and knowledge of advanced ggplot2 needed to provide clarity to charts that would otherwise be tricky to read and interpret.
Martin is a trained biostatistician, programmer, consultant and data science enthusiast. His main objective: Explaining data science in a straightforward way. You can find his latest work over at: r-tutorials.com
Course Overview Welcome to Annotating ggplot2 Visualizations in R. This is Martin Burger for Pluralsight. In this intermediate level course, we are continuing our journey through the world of ggplot2. This course is the next step after formatting ggplot2 visualization elements in R. Some plots actually need support features, a little text annotation here, some labels there, and some arrows or circles here. There are different tools that can be added to a plot to make it crystal clear what it is all about. In this course, I'm going to show you the most common annotations and support tools. Mainly, we're talking about text-based annotations and other features like lines, smoothers, arrows, rectangles, or circles. These tools can help in drawing attention to a portion of the plot. I will also show you how formulae and labels can be added to observations. And this course also includes a module on plot legends since this was not covered in the other ggplot2 course. Now, to fully benefit from this course you should have familiarity with RStudio and ggplot2. This is not a beginner's course. Alright, so I really hope you use this course to fine tune your ggplots.