During Michaelmas Term, OxTalks will be moving to a new platform (full details are available on the Staff Gateway).
For now, continue using the current page and event submission process (freeze period dates to be advised).
If you have any questions, please contact halo@digital.ox.ac.uk
Session Aim
This code clinic will provide an introduction to the “grammar of graphics” approach to generating data visualisations as implemented in the ggplot2 package in R.
Session Content
This session will cover the following topics: an introduction to ggplot2 syntax, using ggplot2 “layers” to build plots, aesthetically mapping plotting elements (e.g. position, color, size) to variables in R data frames, creating visually pleasing plots by adjusting the theme layer, and additional R packages that are compatible with ggplot2 objects.
Session Objectives
At the end of the session, participants will be able create common plots from quantitative and categorical data (i.e. histograms, scatterplots, bar charts) map data frame variables to specific features within plots, customize plot aesthetics, and combine multiple ggplot2 objects.
