Event details

After an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: Import, Wrangling (transformation and cleaning), Exploration, (basic) exploratory analysis and visualization, Reporting.

Each topic of the course will first be introduced and then worked through with a series of (hands-on) exercises

Learning objectives:

You will be

• Able to import, process and explore your data with R
• Able to perform basic visualizations and analyses of your data with R
• Able to create reproducible research reports with R Markdown

Prerequisites:

• Students bring their own laptop to actively participate in the workshop
• Installation of RStudio (e.g. version 4.3.2, https://www.rstudio.com/)
• If necessary, installation of a LaTeX version (install.packages(‘tinytex’))

Workload for ECTS:

2 ECTS: Active participation in the workshop, written reflection report and data challenge with RMarkdown

Lecturer:

Veronika Batzdorfer is a post-doc researcher at the ITZ at KIT, where she works in the SoMe4Dem EU project. Her work focuses on linking digital trace data with other types of data and on natural language processing (NLP) techniques. Furthermore, she is interested in modeling temporal dynamics on social media platforms and topics such as the reproducibility of analysis pipelines and causal inference with text data (DAGs).