Subject Related Course (2 SWS) SoSe 2018: "Introduction to scientific data analysis and visualization in R "


Monday 28.5 (1-3pm) R basics (optional),

Monday 4.6 (9.30am-2.30pm), 2’ flash presentation + simple data manipulation and visualization,

Monday 11.6 (9.30am-4.30pm), Advanced data manipulation and visualization,

Monday 18.6 (9.30-12.30am) Presentations group 1 (10' pres + 10' feedback),

Monday 18.6 (12.30am-4.30pm) Presentations group 2 (10' pres + 10' feedback).

Course Language: English

Lecturer: Julien Gagneur

Participants: max. 15

Course Objective: The objective of the course is to provide basic skills for graphically presenting data in a scientific context (article or presentation). You will learn R programming basics, creating data report quickly and effectively with R Markdown, importing, cleaning and organizing data (tidy data), as well as basic and more advanced plotting (grammar of graphics). You will apply your knowledge on your own data which you will present in a 10-minute presentation on the last day.

Participants must join the lecture with their own laptop, with R studio installed:

The first lecture gives basics in R. It is optional. You can skip it if you can do all todo’s of this short intro to R by Paul Torfs & Claudia Brauer:

and if you’re able to compute in R the number of women who survived the Titanic from the comma-separated flat file available at:

Recommended reading

R for Data science, by Garrett Grolemund and Hadley Wickham

Optional Certification: The 2 SWS are awarded for the participation in the 3-day course and their presentation.

Titanic dataset: titanic.csv