Detailed information about the course

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Title

Data Visualization With R

Dates

15-16 April 2024

Lang EN Workshop language is English
Organizer(s)

Dr. Caty Suarez, CUSO coordinator E&E
Debora Zoia, CUSO coordinator MPS
Corinne Dentan, CUSO coordinator StarOmics
Dr. Emilie Genty, CUSO coordinator Microbiologie

Speakers

Dr. Frédéric Schütz, UNIL & SIB

Description

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 visualization.
Location

UNIL, room Amphimax 414

Map

Map

Information
Places

24

Deadline for registration
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