🗓️ Session 5: Importing data

Author

Affiliation

Claudius Gräbner-Radkowitsch

EUF and JKU

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

Either click on the slide area below or click here to download the slides.

• Data for the exercises

🎥 Lecture videos

All the videos are available via this playlist.

📚 Mandatory Reading

• The tutorial Importing and exporting data using data.table

Further Reading

TBA

✍️ Coursework

• Do the exercises ImportData from the DataScienceExercises package

TipQuick code for starting the exercises

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