matloff / matloff/R-vs.-Python-for-Data-Science
Nice writeup, but you should learn the Tidyverse
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Description
Yes, there could be 60+ functions, but rectangling data is complex. I am also sure it is long-tailed, i.e., 5-10 will cover 80-90% of your cases. Also, moving away from base R will help you address your very first point: syntax aesthetics.
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- 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
Review the writeup and the discussion in this issue, focusing on the proposal to teach Tidyverse tools instead of relying on base R. Before making changes, establish which sections are in scope and what an acceptable Tidyverse-oriented revision would look like; the issue does not name files or tests.
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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