Being able to communicate the results of an analysis is as important as doing the analysis itself. In this course you’ll learn how to use two R packages (ggplot2 and plotly) to create effective, visually pleasing and reproducible visualisations.
Participants will be able to create static and animated visualisations with ggplot2 and interactive visualisations using plotly. They will also be able to customise the presentation characteristics of these visualisations.
Who should attend?
The course is aimed at students, academics and professionals who need to visualise data. It’s assumed that participants already have some familiarity with R.
The ggplot2 package has become the de facto standard for making plots in R. It’s possible to quickly put together a simple plot for exploratory purposes. However, with a bit of effort such a plot can be transformed into a work of art.
- Grammar of Graphics
- Components of a plot
- Box and Violin plots
- Histogram, Density and Bar plots
- Stats versus Geoms
- Scales, Legends and Coordinates
- Builtin themes
- Other themes
Participants are assumed to have prior exposure to R, or at least to programming of some variety. Some familiarity with HTML and CSS will be an advantage but not mandatory. We’ll be using an online development environment. This means that you can focus on learning without having to worry about solving technical problems.
Interactive course material
Our training emphasises practical skills. So, although you’ll be learning concepts and theory, you’ll see how everything is applied in the real world as we work through examples and exercises based on real datasets.
We like questions!
Having a firm understanding of the course content will result in you being able to confidently apply your new skills. So, if at any point you’re unsure of something, just ask!
Contact us at firstname.lastname@example.org if you have any questions.