Detailed information about the course

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Title

Data Visualization With R

Dates

11-12 March 2021

Organizer(s)

Marta Bellone, CUSO coordinator, EE
Corinne Dentan, CUSO coordinator,
StarOmics Debora Zoia, CUSO coordinator, MPS

Speakers

Dr Frédéric Schütz, University of Lausanne & Swiss Institute of Bioinformatics (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).

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 beginners in R, 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.

Program

More information will follow

Location

Online

Evaluation

Full attendance and active participation

Information

When?
11 - 12 March 2021
9:00-17:00

Where?
Online

Questions?
Marta Bellone
@:ecologie-evolution(at)cuso(dot)ch

Expenses

Reimbursement:

As the course will be held online, no travel cost reimbursement can be claimed

Registration

Register via your MyCUSO account!

REGISTRATION IS NOW OPEN

Deadline for registration: 1.03.2021

Priority is given to PhD students of the DPEE (9 places), MPS (2 places) and StarOmics (9 places)

Registration Fees:

Free for participants enrolled in CUSO programs EE, StarOmics and MPS.
In case of cancellations, before the deadline: free
Late cancellations or no-show: 50 CHF administrative fee

Other participants: please contact the program coordinator at ecologie-evolution(at)cuso.ch

Places

20

Deadline for registration
Joint activity joint
short-url short URL

short-url URL onepage