In this comprehensive four-day workshop, participants will go all the way from learning the basics of the programming language R to exploring the tools necessary to produce high-quality data visualisations.
05.03.2021 | 09:00 - 17:00
06.03.2021 | 09:00 - 17:00
19.03.2021 | 09:00 - 17:00
20.03.2021 | 09:00 - 17:00
Dr. Thomas Köntges
Doctoral researchers and postdocs who wish to learn the programming language R
Number of Participants
The first two days of the course will cover the basics of the programming language R and some basic data exploration techniques. We will start with data import from various sources then move to data handling and data summaries with a particular focus on an efficient and reproducible workflow. Before the second course, participants are encouraged to work on provided exercises. The second part of the course will focus on visualising data and the results of statistical analyses of that data. We will start with simple graphs and then proceed to more complex visualisations. During the entire course we will discuss the visual vocabulary at our disposal and strategies to proceed from the idea of a visualisation to its realisation. At the end of the course, participants will have reached an advanced knowledge of R and obtained the skills to visualise their research data. Participants are welcome to work on their own data where possible. This course does not cover statistical theory.
Notes for Participants: Your own computer and an internet connection are required. You should have installed a recent version of R (v. > 4.0.0) and RStudio. We will install individual libraries during the course.
2 Credit Point can be obtained by attending this course. Please contact your faculty for the recognition of performance for the doctoral degree.
- Dr. Thomas Köntges
Assistant Professor in the fields of Digital Humanities at University of Leipzig