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Data transformation with dplyr 1.0

We have created these alternative cheat sheets (or guides) for those who already know a little about dplyr. The point of these guides is to help you figuring out quickly which verb and arguments to use -- in the context of data transformation applied to table(s) of class tibble or data.frame.

As such the guides complement and do not substitute the official dplyr cheat sheet which is available here.

Note that many dplyr functions are not covered here; all the nice joining functions designed to work with pairs of tables, but also many others.

These guides about dplyr have been created on the October 2020 using LibreOffice. We tested most things on dplyr version 1.0.1. The PDF have directly been created using LibreOffice export function. The PNG have been created importing the PDF files in GIMP at a resolution of 200 pixel per inch.

We used the following typefaces:

  • Nimbus Sans
  • monaco
  • Source Code Pro
  • Cantarell

Feedback wanted

If you have any ideas about how to improve these guides, please leave comments as issues or PR.

Help wanted

Volunters who could turn these guides into durable LaTeX files are highly welcome (LibreOffice formating is too fragile, but the amount of TikZ gymnastic required is a little daunting).

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