🗓️ Session 6: Importing data

Author

Affiliation

Published

30 10 2026

Modified

18 09 2026

This is also one of the most underestimated topics. This session builds upon the previous session on setting up a project environment. Now you will learn how to import data obtained elsewhere into R. We focus on importing .csv files, but with the skills acquired in this context you will face no difficulties in importing other data types as well.

👨‍🏫 Lecture Slides

Download the slides of this session (PDF)

Data for the exercises

🎥 Lecture videos

All the videos are available via this playlist.

📚 Mandatory Reading

Importing and Exporting Data in R on Method and Inquiry (Gräbner-Radkowitsch 2026)

✍️ Coursework

Do the exercises ImportData from the DataScienceExercises package

Quick code for starting the exercises

learnr::run_tutorial(
  name = "ImportData", 
  package = "DataScienceExercises", 
  shiny_args=list("launch.browser"=TRUE))

References

Gräbner-Radkowitsch, C. (2026) “Importing and Exporting Data in R” C. Gräbner-Radkowitsch (ed.), Method and Inquiry, available at https://euf-methodology-hub.netlify.app/resources/importing-exporting-data.