Visualising data using R

This course introduces plotting in R, using the ggplot2 package.

We are covering the basic structure of plots and how to plot in general using ggplot2.

Some, but certainly not all, of the different types of plots are introduced.

Prerequisites

We are going to assume that you have some familiarity with R and RStudio, equivalent to the topics covered in our introductory course, R for absolute beginners. We are going to use the datamanipulation tools from the tidyverse a lot - so please brush up on the pipe %>% if you have forgotten about it.

Schedule

	Setup	Download files required for the lesson
00:00	1. Before we Start	Why are we even visualizing? What are the metadata of this dataset?
00:15	2. Getting started	How do we build a plot with ggplot2?
00:30	3. Further mapping	Can we show data using something other than position? What is correct, colour or color? How do I find out what a geom_ can do?
00:45	4. Different types of plots	What other types of plots can we make? How can we control the order of stuff in plots?
01:00	5. Facetting	What is facetting?
01:15	6. Scaling and coordinates	How can we adjust the scales in a plot? How can we zoom-in to specific parts of a plot? How can we change the colors of the plot? How do I make a pie-chart?
01:30	7. Theming	How can I make the plot look good? How do I get rid of that grey background? How do I get rid of the gridlines?
01:45	8. Saving and exporting	How can I save the plots?
01:50	9. Whats next?	What is the next step in learning to plot?
02:05	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.