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- Day 1
- Introduction to RStudio
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- Data frames & tibbles
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- Day 2
- Data visualization with ggplot2
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- Day 3
- Tidy data with tidyr
- Statistical tests
- Day 4
- Bring Your Own Data
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Tables in R - Data frames and tibbles

Slides in full screen | Download PDF slides

TipExercises

Go to the task page for the exercises.

Resources

Tibble package documentation: Reference for tibble functions and differences to data frames.
Tibbles in Advanced R: Detailed explanation of how tibbles differ from data frames.

Copyright 2026, Selina Baldauf | Contact: selina.baldauf@fu-berlin.de

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