Data Visualization With R

21-22 March 2022

Corinne Dentan, UNIL - CUSO coordinator StarOmics
Debora Zoia, UNIL - CUSO coordinator MPS
Catherine Suarez, UNIGE - CUSO coordinator E&E

Dr Frédéric Schütz, UNIL & Swiss Institute of Bioinformatics (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.

More information will follow

University of Lausanne, Amphipole 204.2

Map

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

Location: POL 204.2 (Amphipôle)

Schedule:

09h00-10h30 /coffee break/ 11h00-12h15

Lunch break

13h30-15h00 /coffee break/ 15h30-17h00

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

Registration link until March 8

9 places available for CUSO EE students

20