You will notice this is not a statistics course but focused on using R. To benefit from the workshop, you should have a clear question in mind what to tackle using R. Further, you should work on a data set that is important for your lab research, as you have to submit a relevant sample of your own data visualisation. Your own data will be integrated into the workshop.

The Data Visualisation 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 communication 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.

Sample Submission

Participants are asked to provide a sample visualisation of their own results that will be used as a teaching example on the first day.

Requirements

To take full advantage of the Applications module on the second day, participants should already be proficient with R. Participation in Science Craft’s Data Analysis workshop would fulfill this requirement, but students who have confirmed their own proficiency will also be accepted. A detailed list of suggested R functions and concepts is provided in a pre-workshop self-assessment for participants.