Detailed information about the course

[ Back ]
Title

Data Visualization with R

Dates

TBA - 2 days

Lang EN Workshop language is English
Organizer(s)

Dr. Caty Suarez, UNIGE

Mme Corinne Dentan, UNIL

Mme Debora Zoia, UNIL

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 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 Molecular Plant Sciences (CUSO MPS).

Expenses

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.

Registration

[CLOSE]

Deadline for Registration: TBA

8 places available for StarOmics students

Places

20

Deadline for registration
short-url short URL

short-url URL onepage