practicalli / practicalli/clojure
What is data science? Why Clojure for data science
Open
Nobody has claimed this yet.
- Dominant language
- Makefile
- Stars
- 117
- Forks
- 36
- PR merge metrics
- No merged PRs in 30d
Description
Good insight to data science from the book "R for Data Science"
https://r4ds.had.co.nz/
(free to read online)
- Daniel knows someone who was translating R for Data Science for Clojure
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
No project file, test, or entry point is named. Start by reading the issue and the linked R for Data Science book, then clarify the intended Clojure data-science content and destination before editing; the issue does not define what completion should look like.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- clojure, r
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100