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.
Author Name: Martin Burger
Author Description:
Martin studied biostatistics and worked for several pharmaceutical companies before he became a data science consultant and author. He published over 15 courses on R, Tableau 9 and other data science related subjects. His main focus lies on analytics software like R and SPSS but he is also interested in modern data visualization tools like Tableau. If he is not busy coding, blogging or working out new teaching concepts you may find him skiing or hiking in the Alps.

Table of Contents

• Course Overview
  1min
• Understanding Plot Features
  25mins
• Working on Plot Legends
  25mins
• Using Text Based Annotations
  30mins
• Adding Support Features to a Plot
  36mins