diversity analysis
Open
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 55
- Forks
- 24
- PR merge metrics
- No merged PRs in 30d
Description
how to prepare the data set when multi level information are available
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
The issue does not name a notebook, file, test, or entry point. First clarify what “multi level information” means, which dataset and diversity analysis are intended, and what guidance is needed; done would require an agreed data-preparation procedure documented in the relevant guide material.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- data
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100