OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, 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.
