Detailed information about the course

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Data Visualization With R


TBA - 2 days

Lang EN Workshop language is English

Corinne Dentan, UNIL
Catherine Suarez, UNIGE
Debora Zoia, UNIL


Dr Frédéric Schütz, UNIL & 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 different models for creating graphics in R (including base R and ggplot2).

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

Learning ObjectivesAt 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 visualization

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

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


More information will follow


University of Lausanne, Room TBA


The course is organized in collaboration with the CUSO doctoral programs in Molecular Plant Sciences (CUSO MPS) and StarOmics (CUSO StarOmics).


Reimbursements for CUSO EE Students:- Train ticket, 2nd class, half-fare from the main train station of your university location to the place of the activity.
- NO reimbursement for your meal expenses.

NEW since 2021: Reimbursement of your travel tickets can be asked online through your MyCUSO account.

See HERE for the procedure.

For any question regarding reimbursements please contact the CUSO EE coordinator Catherine Suarez at: ecologie-evolution(at) cuso(dot)ch.


Deadline for registration: TBA

- 9 places available for CUSO EE students



Deadline for registration
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