Detailed information about the course

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Data Visualization With R


11-12 March 2021


Marta Bellone, CUSO coordinator, EE
Corinne Dentan, CUSO coordinator,
StarOmics Debora Zoia, CUSO coordinator, MPS


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).
At the end of the course, the participants are expected to:
* apply data visualisation methods to represent their data and get their message across
* choose the right method to represent a dataset graphically
* use the R software (base R and ggplot2) to produce data visualizations


More information will follow


University of Lausanne


Full attendance and active participation


11 - 12 March 2021
9:30-12:30 and 14:00-17:00

Possibly, at the University of Lausanne, or Online (TBC)

Marta Bellone




PhD students of the DPEE are eligible for the reimbursement of incurred travel expenses by train (half-fare card, and 2nd class).

The online reimbursement system is now in place, so once the course is over you will be able to request the reimbursement via MyCUSO, without sending the paperwork to me. More information: Reimbursement


In case of onsite teaching, please contact the coordinator of the doctoral program (ecologie-evolution(at) BEFORE the beginning of the course. NO reimbursement of accommodation without the coordinator of the doctoral program agreement prior of the course. In case of overnight stay, please post the original tickets and original bills along with the reimbursement form to:

Marta Bellone
Doctoral Program in Ecology and Evolution
Department of Biology
University of Fribourg
Chemin du Musée 10
CH-1700 Fribourg

NO reimbursement of meal expenses


Register via your MyCUSO account!


Deadline for registration:TBC

Priority is given to PhD students of the DPEE (9 places), MPS (2 places) and StarOmics (9 places)

Registration Fees:

Free for participants enrolled in CUSO programs EE, StarOmics and MPS.
In case of cancellations, before the deadline: free
Late cancellations or no-show: 50 CHF administrative fee

Other participants: please contact the program coordinator at ecologie-evolution(at)



Deadline for registration
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