R visualisation workshop
Open Science and Reproducibility event
28 March 2018
Chapter 1 Introduction
Just to give you a glimpse of the amazingness of ggplot, see what a few lines of code in R can produce:
ggplot(mpg, aes(x=cty, y=hwy, colour=drv)) + geom_point() + geom_smooth() + theme_minimal()
1.1 Why are graphs important?
As to why graphs are important, I refer you to Anscombe’s quartet:
Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. 2nd ed. Cham, Switzerland: Springer International Publishing. http://www.springer.com/br/book/9780387981413.