This two-day workshop enables life scientists to effectively create figures based on quantitative data that add impact to their publications. The workshop is divided into two one-day modules: Principles and Applications.
On the first day, the principles module focuses on understanding the purpose of a figure, choosing the most appropriate plot type, and the science of perception. The first day is primarily concerned with the art of visual communicaiton and integrates participants’ own examples into the teaching process.
On the second day, the applications module focuses on the practical implementation of the data visualisation principles discussed on the first day. This is done using the R statistical programming environment with the participants’ own data.
Participants should have enough data to bring to the workshop and already have familarity with R. Participants are expected to have proficiency in R prior to the workshop. Previously, students proficient in MatLab, Perl and/or Python, but with little experience in R, have also benefited from the workshop. However, if you are not comfortable with any programming or scripting language, you may find the second day difficult.
If you can read R code and import data, you’re in good shape.
Dr Rick Scavetta
An enthusiastic biologist and data scientist with over 13 years experience in research, consulting and training. Operating as Science Craft I've developed and hosted workshops on data communication, understanding and applications to researchers around the world.