An R package for INSANELY, SUPERLATIVELY fast fuzzy joins
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r-package
- Dominant language
- No language data
- Stars
- 17
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
zoomerjoin is an R package that empowers you to fuzzy-join massive datasets rapidly, and with little memory consumption
-- https://beniaminogreen.github.io/zoomerjoin/
See also https://github.com/2DegreesInvesting/tilt.company.match/discussions/97
cc @jdhoffa
Contributor guide
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 zoomerjoin package page and the tilt.company.match discussion to understand the proposed resource and its relevance. Then determine what addition to the resources repository is intended; done would require a documented decision and an agreed repository change, but the issue does not specify the target file or format.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100