🗓️ Session 7: Visualization

One area for which R is particulary well-known for is the area of visualization. This is particularly because of the package ggplot2. This session introduces ggplot2 and the general approach to generate visualization in R. The good thing is that if you follow the approach described here, you can basically create every visualization type you can think of.

👨‍🏫 Lecture Slides

Either click on the slide area below or click here to download the slides.

The R script of this session

🎥 Lecture videos

Currently, no videos are available for this session. Check out the tutorial instead.

📚 Mandatory Reading

• The tutorial visualization

Further Reading

• Wickham (2010), who introduces the theory underlying ggplot2
• ggplot2 cheat sheet
• Browse the website from Data to Viz and try to re-create some of the figures yourself

✍️ Coursework

• Do the exercises Visualization1 from the DataScienceExercises package

Quick code for starting the exercises

learnr::run_tutorial(
  name = "Visualization1", 
  package = "DataScienceExercises", 
  shiny_args=list("launch.browser"=TRUE))

References

Wickham, H. (2010) “A Layered Grammar of Graphics,” Journal of Computational and Graphical Statistics 19(1): 3–28.