Make it your own: tips and tricks for effortless stand-out visualisations in R
Details
This talk explores the impact of good colour and annotation choices on the readability of our graphs. We will start by making a basic ggplot graph, and set about styling it, applying good principles of dataviz and typography. At each step, I will show how to implement this in ggplot, and highlight the traps I have fallen into so that others can avoid them! The aim of the session is to equip users to make more of their visualisations in ggplot, and make the case for investing in doing this programmatically. All the code will be shared with participants for them to continue building on after the session.
Related topics
Data Visualization
R Project for Statistical Computing
