Detailed information about the course
Data Visualization With R
11-12 March 2021
Marta Bellone, CUSO coordinator, EE
Dr Frédéric Schütz, University of Lausanne & Swiss Institute of Bioinformatics (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).
Knowledge / competencies
More information will follow
Full attendance and active participation
As the course will be held online, no travel cost reimbursement can be claimed
Register via your MyCUSO account!
REGISTRATION IS NOW OPEN
Deadline for registration: 1.03.2021
Priority is given to PhD students of the DPEE (9 places), MPS (2 places) and StarOmics (9 places)
Free for participants enrolled in CUSO programs EE, StarOmics and MPS.
Other participants: please contact the program coordinator at ecologie-evolution(at)cuso.ch
|Deadline for registration|