🗓️ Week 03 – Day 02: More data reshaping

You can never have enough data reshaping skills

Author

Dr Jon Cardoso-Silva

Published

25 July 2023

🌱 Today’s Learning Objectives

Joining data from different sources
Merges and joins
Pivot wider and pivot longer

👨‍🏫 Lecture Notes

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You can download the lecture material as a Quarto Markdown file by clicking the button below.

📖 Recommended readings & Revision

(Wickham and Grolemund 2016, chap. 12.3) – Pivoting section of the R for Data Science book
(Wickham and Grolemund 2016, chap. 13) – Relational Data chapter of the R for Data Science book

References

Wickham, Hadley, and Garrett Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 1st edition. Sebastopol [CA]: O’Reilly. https://r4ds.had.co.nz/.