Detailed information about the course
Data Visualization With R
27-28 March 2023
Corinne Dentan, CUSO StarOmics Coordinator, University of Lausanne
Dr. Frédéric Schütz, UNIL & SIB
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:
More Information will follow
University of Lausanne, Amphipôle 459
Reimbursements for CUSO MPS Students:
Reimbursement of your travel tickets can be asked online through your MyCUSO.
For any question concerning reimbursement please contact the CUSO MPS coordinator Debora Zoia
Deadline for registration: TBA
3 places available for CUSO MPS Students
|Deadline for registration|