Start: Thursday, 23 March 2023 @ 00:00

End: Friday, 24 March 2023 @ 00:00

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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).


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

Learning outcomes

At the end of the course, the participants are expected to 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 visualisations


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 BEFORE the course: R and R Studio. A list of packages will be provided in due time.


Registration fees are 120 CHF for academics and 600 CHF for for-profit companies. While participants are registered on a first come, first served basis, exceptions may be made to ensure diversity and equity, which may increase the time before your registration is confirmed.

You will be informed by email of your registration confirmation. Upon reception of the confirmation email, participants will be asked to confirm attendance by paying the fees within 5 days.

Applications close on 02/03/2023 or as soon as the course is full. Deadline for free-of-charge cancellation is set to 09/03/2023. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions.

Venue and Time

The course will take place at the University of Lausanne (Metro M1 line, Sorge station).

The course will start at 9:00 and end around 17:00.

More information will be provided to the registered participants in due time.

Additional information

Coordination: Patricia Palagi

We will recommend 0.5 ECTS credits for this course (given a passed exam at the end of the course).

You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.

Please note that participation in SIB courses is subject to our general conditions.

SIB abides by the ELIXIR Code of Conduct. Participants of SIB courses are also required to abide by the same code.

For more information, please contact

Keywords: data visualisation, basic research, training

Additional information

City: Lausanne

Country: Switzerland

Organizer: SIB Swiss Institute of Bioinformatics

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