matloff / matloff/R-vs.-Python-for-Data-Science
Tidyverse vs 'base' R (Language Unity)
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- Dominant language
- No language data
- Stars
- 448
- Forks
- 40
- PR merge metrics
- No merged PRs in 30d
Description
I have been learning R in a mix using base R and the tidyverse (mostly dplyr). I got concerned about [Language Unity](https://github.com/matloff/R-vs.-Python-for-Data-Science#language-unity), because I could started to use R _thanks_ to the tidyverse (just my experience of course) before using dplyr it was just too hard.
Have you ever written in detail about this issue so I can read more?
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked Language Unity discussion and review the issue's question about base R, tidyverse, and dplyr. Done would require a decided scope for the requested detailed explanation and a documented answer or resource addressing the comparison.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100