Detailed information about the course

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Data Visualization With R (FULL)


11-12 March 2021 (FULL)

Lang EN Workshop language is English

Marta Bellone, CUSO coordinator, E&E
Corinne Dentan, CUSO coordinator, StarOmics
Debora Zoia, CUSO coordinator, MPS


Dr Frédéric Schütz, UNIL & SIB, Lausanne (CH)


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, how to tell stories with your 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 include practicals using the R statistical software; during these practicals, we will discuss and introduce the different models for creating graphics in R (including base R and ggplot2).

This course is addressed to scientists who need to produce data visualization and who have already used the R software before.

Learning objectives

At the end of the course, the participants will be able 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

Knowledge / competencies
This course is designed for beginners in R, for instance those who have attended any of the SIB courses on First Steps in R.

You are required to bring your own laptop with a wifi connection, and the following software installed PRIOR to the course: R, R Studio.


More info will follow in due time

09:00 - 17:00




Reimbursements for CUSO StarOmics students:
- Train ticket, 2°class, half-fare from your institution to the place of the activity (if in presence of course).
- NO reimbursement for your meal expenses.

NEW from 2021: 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 StarOmics coordinator Corinne Dentan.

Other CUSO students:
Please contact the coordinator of your program.


- Maximum number of participants: 20 people (minimum 6).

- 9 places available for CUSO StarOmics students, 9 places available for CUSO E&E students (full), 2 places available for CUSO MPS students (full)
- A waiting list will be prepared to ensure that there are no empty seats.

Deadline for registration: March 1st, 2021



Deadline for registration
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