Detailed information about the course

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Title

Data Visualization with R

Dates

Date TBA - 2 days

Organizer(s)

Catherine Suarez, Dr., CUSO coordinator E&E
Corinne Dentan, Dr., CUSO coordinator StarOmics
Debora Zoia, CUSO coordinator MPS

Speakers

Frédéric Schütz, Dr., 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 different 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 Objectives
At the end of the course, the participants will be able 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

Knowledge / Competences
This course is designed for beginners in R, for instance those who have attended any of the SIB courses on Firts 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

University of Lausanne, Room TBA

Information

The course is organized in collaboration with the CUSO doctoral programs in Ecology and Evolution (CUSO E&E) and StarOmics (CUSO StarOmics).

Expenses

Reimbursements:
Reimbursements for CUSO MPS Students:
- Train ticket, 2°class, half-fare from your institution to the place of the activity.
- NO reimbursement for your meal expenses.

 

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 MPS coordinator Debora Zoia.

Registration

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Deadline for Registration: TBA

3 places available for MPS students

Places

20

Deadline for registration
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