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Data Visualization with ggplot2 (Part 3)

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  • 19 Videos
  • 87 Exercises
  • 6 hours 
  • 806 Participants
  • 7650 XP

Instructor(s):

Rick Scavetta
Rick Scavetta

Rick Scavetta is a biologist, workshop trainer, freelance data scientist and cofounder of Science Craft, a company dedicated to helping scientists better understand and visualize their data. Rick's practical, hands-on exposure to a wide variety of datasets has informed him of the many problems scientists face when trying to visualize their data.

Collaborator(s):

Filip Schouwenaars Filip Schouwenaars

Course Description

In this third ggplot2 course, we'll dive into some advanced topics including geoms commonly used in maths and sciences, strategies for handling large data sets, a variety of specialty plots, and some useful features of ggplot2 internals.

Plots for specific data types (Part 1) 

In this chapter, you'll explore useful specialty plots for specific data types such as ternary plots, networks and maps. You'll also look at how to use ggplot2 to convert typical base package plots that are used to evaluate the results of statistical methods. Finally, you'll take a look at a couple ways in which you can make and appropriately use animations.