An introduction to the R ggplot2 package
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.
Date: 10 November 2020, 11:00 (Tuesday, 5th week, Michaelmas 2020)
Venue: Venue to be announced
Speaker: Dr Jason Torres (University of Oxford)
Organising department: Big Data Institute (NDPH)
Organiser: Sarah Laseke (Big Data Institute)
Organiser contact email address: sarah.laseke@ndph.ox.ac.uk
Booking required?: Required
Booking url: https://oxford.onlinesurveys.ac.uk/bdi-code-clinic-an-introduction-to-the-r-ggplot2-package
Audience: Members of the University only
Editor: Sarah Laseke