Data Visualization with R

21-22 March 2022

Dr. Caty Suarez, UNIGE

Mme Corinne Dentan, UNIL

Mme Debora Zoia, UNIL

Dr. Frédéric Schütz, UNIL & SIB

Communicating data and results efficiently is a fundamental task for any scientist. While this information is mostly conveyed through graphics and tables, designing these is not a trivial task and most scientists have to learn this skills on the job.

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).

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

Learning opbjectives
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 visualizations

Knowledge / competencies
This course is designed for people who have already used the R, even at the beginner level, for instance those who have attended any of the SIB courses on First Steps in R.

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

Schedule:

09h00-10h30

Coffee break

11h00-12h15

Lunch break

13h30-15h00

Coffee break

15h30-17h00

University of Lausanne, Amphipôle 204.2

Map

The course is organized in collaboration with the CUSO doctoral programs in Ecology and Evolution (CUSO E&E) and Molecular Plant Sciences (CUSO MPS).

Reimbursements:

Reimbursements for CUSO StarOmics students:
- Train ticket, 2°class, half-fare from your institution to the place of the activity.

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.

Deadline for registration: 8.3.2022

8 places available for StarOmics students

20