The-Strategy-Unit / The-Strategy-Unit/data_science
Writing code to run a chunky data analysis
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Nobody has claimed this yet.
session: C&C ☕
- Dominant language
- Jupyter Notebook
- Stars
- 11
- Forks
- 5
- Avg merge
- 5h 34m
- Merged PRs (30d)
- 1
Description
- Situation: You have a big dataset, so you can't run it all at once
- Taking lil slithers to develop your code
Contributor guide
No contributing guide indexed for this repository
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 file, test, or entry point is named. First clarify which documentation or example should explain processing a large dataset in smaller chunks, then identify the relevant notebook or documentation location; done means the intended chunked-analysis guidance is written and usable.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- data
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100