3.6 Resources

This section contains links to resources on transforming data.

3.6.1 Help on data transformation

For more details on dplyr (Wickham, François, et al., 2023):

Data transformation with **dplyr** summary from [Posit cheatsheets](https://posit.co/resources/cheatsheets/).

Figure 3.8: Data transformation with dplyr summary from Posit cheatsheets.

3.6.2 Tidyverse tools

For general information about the tidyverse (Wickham, 2023) and its principles:

The topic of data transformation will stay with us for the rest of this book, as various later chapters cover more advanced aspects. For instance, Chapter 8 on Joining data will cover so-called 2-table-verbs of dplyr.


[03_transform.Rmd updated on 2024-03-20 11:48:16.131363 by hn.]


Wickham, H. (2023). tidyverse: Easily install and load the ’tidyverse’. Retrieved from https://tidyverse.tidyverse.org
Wickham, H., François, R., Henry, L., Müller, K., & Vaughan, D. (2023). dplyr: A grammar of data manipulation. Retrieved from https://dplyr.tidyverse.org
Wickham, H., & Grolemund, G. (2017). R for data science: Import, tidy, transform, visualize, and model data. Retrieved from http://r4ds.had.co.nz