Simple tricks to improve your ggplot2 data visualisations

This two hour workshop will showcases some small changes you can make to your ggplot2 code to improve your data visualisations quickly and easily.

When creating visualisations with ggplot2 you probably want your charts to look both professional and aesthetically pleasing, as well as communicating your data effectively. The flexibility of ggplot2 means it’s possible to create highly customised charts. However, the ggplot2 ecosystem is huge (and ever-evolving) and it can be a bit overwhelming and time-consuming to figure out what code you actually need. Luckily, there are a few small tweaks you can make to your ggplot2 code to improve your charts.

In this session, you’ll learn:

• Some lesser-known functions and arguments in ggplot2 that make it easier to create better visualisations
• Extension packages that automate some of the trickier chart changes
• Examples of workflows to improve your process of creating charts in R