Data Visualization With R

March 27-28, 2023

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

Dr Frédéric Schütz, UNIL & SIB

Scientific results are mostly conveyed through graphics and tables, and representing data graphically in a clear way is ana 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 visualization

University of Lausanne

Map

When?
March 27-28

Where?
University of Lausanne, Amphipôle 334
Please note that the last afternoon the room changes --> Amphipole 202 (https://planete.unil.ch/?local=POL-202)

Questions?

Catherine Suarez
@: [email protected]

Travel

PhD students of the CUSO Biology programmes are eligible for the reimbursement of incurred travel expenses by train (half-fare card, 2nd class). Claims can be done online via MyCUSO when the activity is over

Fees

CUSO PhD students at UNIL, UNIGE, UNIFR, UNINE and UNIBE: Free
Other participants: please contact the programme coordinator at ecologie-evolution(at)cuso.ch

Deadline for registration: 28.02.2023

CUSO members
- 9 spaces for DPEE (update on 19.01.2023 --> all DPEE spaces taken, you can still register and be placed on the waiting list)
- 8 StarOmics
- 3 MPS

Cancellation Policy

In case of cancellations, before the deadline (28.02.2023): free
Late cancellations (after 28.02.2023) or no-show: 50 CHF administrative fee

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