Tidyverse

The tidyverse is a collection of open source packages for the R programming language introduced by Hadley Wickham[1] and his team that "share an underlying design philosophy, grammar, and data structures" of tidy data.[2] Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping.[3][4][5]

Repository
Written inR
TypePackage collection
Websitewww.tidyverse.org

As of November 2018, the tidyverse package and some of its individual packages comprise 5 out of the top 10 most downloaded R packages.[6] The tidyverse is the subject of multiple books and papers.[7][8][9][10] In 2019, the ecosystem has been published in the Journal of Open Source Software.[11]

Critics of the tidyverse have argued it promotes tools that are harder to teach and learn than their base-R equivalents and are too dissimilar to other programming languages.[12][13] On the other hand, some[14] have argued that tidyverse is a very effective way to introduce complete beginners into programming, as pedagogically it allows students to quickly begin doing powerful data processing tasks.[15][14]

Packages

The core packages, which provide functionality to model, transform, and visualize data, include:[16]

Additional packages assist the core collection.[17] Other packages based on the tidy data principles are regularly developed, such as tidytext[18] for text analysis, tidymodels[19] for machine learning, or tidyquant[20] for financial operations.

References
  1. "Welcome to the Tidyverse". Revolutions. Retrieved 2018-11-26.
  2. "Tidyverse". www.tidyverse.org. Retrieved 2018-11-26.
  3. Wickham, Stefan Milton Bache and Hadley (2014-11-22), magrittr: A Forward-Pipe Operator for R, retrieved 2020-04-20
  4. Wickham, Hadley. 4 Pipes | The tidyverse style guide.
  5. Wickham, Hadley (2019). Advanced R (Second ed.). Boca Raton. ISBN 978-0815384571.{{cite book}}: CS1 maint: location missing publisher (link)
  6. "RDocumentation". www.rdocumentation.org. Retrieved 2018-11-26.
  7. Duggan, Jim (2018-09-07). "Input and output data analysis for system dynamics modelling using the tidyverse libraries of R". System Dynamics Review. 34 (3): 438–461. doi:10.1002/sdr.1600. hdl:10379/15029. ISSN 0883-7066. S2CID 70005357.
  8. Chang, Winston (2013). R Graphics Cookbook. "O'Reilly Media, Inc.". ISBN 9781449316952.
  9. C., Boehmke, Bradley (2016-11-17). Data wrangling with R. Cham. ISBN 9783319455990. OCLC 964404346.{{cite book}}: CS1 maint: location missing publisher (link) CS1 maint: multiple names: authors list (link)
  10. Hadley, Wickham (2017). R for data science : import, tidy, transform, visualize, and model data. Grolemund, Garrett (First ed.). Sebastopol, CA. ISBN 9781491910399. OCLC 968213225.{{cite book}}: CS1 maint: location missing publisher (link)
  11. Wickham, Hadley; Averick, Mara; Bryan, Jennifer; Chang, Winston; McGowan, Lucy D'Agostino; François, Romain; Grolemund, Garrett; Hayes, Alex; Henry, Lionel; Hester, Jim; Kuhn, Max; Pedersen, Thomas Lin; Miller, Evan; Bache, Stephan Milton; Müller, Kirill; Ooms, Jeroen; Robinson, David; Seidel, Dana Paige; Spinu, Vitalie; Takahashi, Kohske; Vaughan, Davis; Wilke, Claus; Woo, Kara; Yutani, Hiroaki (21 November 2019). "Welcome to the Tidyverse". Journal of Open Source Software. 4 (43): 1686. Bibcode:2019JOSS....4.1686W. doi:10.21105/joss.01686. S2CID 214002773.
  12. Matloff, Norm (30 September 2019). "An opinionated view of the Tidyverse "dialect" of the R language". GitHub. Retrieved 28 October 2019.
  13. Muenchen, Bob (23 March 2017). "The Tidyverse Curse". r4stats.com.
  14. Heppler, Jason (2018-02-27). "Teaching the tidyverse to R novices". Medium. Retrieved 2023-08-24.
  15. on, Teach the tidyverse to beginners was published (5 July 2017). "Teach the tidyverse to beginners". Variance Explained. Retrieved 2022-07-15.
  16. "Tidyverse packages - Tidyverse". Retrieved 2018-11-26.
  17. "Tidyverse packages". www.tidyverse.org. Retrieved 2020-12-22.
  18. Silge, Julia (2023-02-01), tidytext: Text mining using tidy tools, retrieved 2023-02-03
  19. "Tidymodels". www.tidymodels.org. Retrieved 2023-02-03.
  20. "Tidy Quantitative Financial Analysis". business-science.github.io. Retrieved 2023-02-03.
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