Visualisation in research

Visualisation is perhaps the easiest way to get good insights into the data at hand; whether for yourself or for the scrutinty of others. Disappointingly, most graphs in scientific papers do not attempt to show the (raw) data, but instead some summary measures (e.g., a bar plot of means). This hinders the scientific process. I hope to increase visualisation literacy, by:

  • Helping others to think about graphs and to create them using ggplot2. I’ll happily do this for you too.
  • Giving visualisation workshops; for instance, this one, and a shorter version
  • Creating R-packages that help people visualise, including ggplotgui and ESMvis [under development; together with Laura Bringmann].

See ggplotgui in action: