Tidyverse Explained

Tidyverse
Logo Caption:The tidyverse hex logo
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Programming Language:R
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Genre:Package collection
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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]

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

Its syntax has been referred to as "supremely readable",[11] and some[12] have argued that tidyverse is a very effective way to introduce complete beginners to programming, as pedagogically it allows students to quickly begin doing powerful data processing tasks.[13] Further to this, some practitioners have pointed out that data processing tasks are intuitively much easier to chain together with tidyverse compared to Python Pandas.[14] There is also an active R community around the tidyverse, including the weekly TidyTuesday social data project organised by DSLC,[15] where varied datasets are released each week for the community to participate, share, practice, and make learning to work with data easier, by providing real-world datasets. 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 some programming languages.[16] [17]

The tidyverse principles more generally encourage and help ensure that a universe of streamlined packages, in principle, will help alleviate dependency issues and compatibility with current and future features.[18] An example of such a tidyverse principled approach is the pharmaverse.[19]

Packages

The core tidyverse packages, which provide functionality to model, transform, and visualize data, include:[20]

Additional packages assist the core collection.[21] Other packages based on the tidy data principles are regularly developed, such as tidytext for text analysis, tidymodels[22] for machine learning, or tidyquant[23] for financial operations.

Notes and References

  1. Web site: Welcome to the Tidyverse. Revolutions. 2018-11-26.
  2. Web site: Tidyverse. www.tidyverse.org. en-us. 2018-11-26.
  3. Book: Wickham, Hadley. 4 Pipes The tidyverse style guide.
  4. Book: Wickham . Hadley . Advanced R . 2019 . Boca Raton . 978-0815384571 . Second.
  5. Web site: RDocumentation. www.rdocumentation.org. 2018-11-26.
  6. 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. en. 10.1002/sdr.1600. 0883-7066. 10379/15029. 70005357. free.
  7. Book: Chang, Winston. R Graphics Cookbook. 2013. "O'Reilly Media, Inc.". 9781449316952. en.
  8. Book: C., Boehmke, Bradley. Data wrangling with R. 9783319455990. Cham. 964404346. 2016-11-17.
  9. Book: Hadley, Wickham. R for data science : import, tidy, transform, visualize, and model data. Grolemund, Garrett. 9781491910399. First. Sebastopol, CA. 968213225. 2017.
  10. 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 . Welcome to the Tidyverse . Journal of Open Source Software . 21 November 2019 . 4 . 43 . 1686 . 10.21105/joss.01686 . 2019JOSS....4.1686W . 214002773 . free .
  11. Web site: Steinmetz . Art . 2024-04-10 . Outsider Data Science - The Truth About Tidy Wrappers . 2024-04-11 . outsiderdata.netlify.app . en.
  12. Web site: Heppler . Jason . 2018-02-27 . Teaching the tidyverse to R novices . 2023-08-24 . Medium . en.
  13. Web site: on . Teach the tidyverse to beginners was published . Teach the tidyverse to beginners . 2022-07-15 . Variance Explained . 5 July 2017 . en.
  14. Web site: Why pandas feels clunky when coming from R . 2024-03-30 . Rasmus Bååth's Blog . en-us.
  15. Web site: dslc.io . 2024-08-11 . dslc.io . en.
  16. Web site: Matloff . Norm . 30 September 2019 . An opinionated view of the Tidyverse "dialect" of the R language . 28 October 2019 . GitHub.
  17. Web site: Muenchen . Bob . 23 March 2017 . The Tidyverse Curse . r4stats.com . en.
  18. Web site: The Power of Transitioning to a '-verse' Approach in R Package Development . 2024-08-11 . www.appsilon.com . en.
  19. Web site: pharmaverse . 2024-08-11 . pharmaverse.org.
  20. News: Tidyverse packages - Tidyverse. 2018-11-26. en-us.
  21. Web site: Tidyverse packages. 2020-12-22. www.tidyverse.org. en-us.
  22. Web site: Tidymodels . 2023-02-03 . www.tidymodels.org . en-us.
  23. Web site: Tidy Quantitative Financial Analysis . 2023-02-03 . business-science.github.io . en.

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