Detailed information about the course
| Title | Data Visualization with R |
| Dates | Spring 2026 |
| Lang |
|
| Organizer(s) | Sarah Miéville, CUSO coordinator, Microbiologie Corinne Dentan, CUSO coordinator, StarOmics |
| Speakers | Dr Frédéric Schütz, UNIL & SIB |
| Description | Scientific results are mostly conveyed through graphics and tables, and representing data graphically in a clear way is an important task for any scientist. Creating such graphs is not a trivial task though and choosing the right representation depends on many factors: among the most important the data itself, the message that the researcher wants to get across, and the way in which the data is presented (a figure in an article is completely different from a figure in slides). During this course, we will present different ways for representing data, how to choose among them, why you should avoid using error bars, how to design efficient graphs, which tools to use (and which tools to avoid!), how to design graphs for specific media, good practices for plotting data, and common mistakes to avoid. This course will also include practicals using the R statistical software; during these practicals, we will discuss and introduce the differents models for creating graphics in R (including base R and ggplot2).
At the end of the course, the participants are expected to:
|
| Program | TBA |
| Location |
University of Lausanne, Room TBA |
| Information | |
| Expenses | Reimbursements for CUSO Students: Train ticket, 2°class, half-fare from your institution to the place of the activity. Reimbursement of your travel tickets can be asked online through your MyCUSO. See HERE for the procedure. For any question concerning reimbursement please contact the CUSO Microbiology coordinator Sarah Miéville
|
| Registration | Registration HERE Important informations :
|
| Places | 24 |
| Deadline for registration | |
| Joint activity |
|