Kernel density estimation instead of histogram
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 962
- Forks
- 106
- Avg merge
- 2d 18h
- Merged PRs (30d)
- 4
Description
I think it would be nice to include this as a complement to the existing histogram out of the box, as a KDE sidesteps the issues with selecting a correct bucket size for the histogram. I'm not really a stats person so I can't explain this very well, but Wikipedia has more info and you can see an example of this in use in the "criterion" benchmarking tool for Haskell: http://www.serpentine.com/criterion/fibber.html
Contributor guide
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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 proposes adding kernel density estimation as a complement to the existing histogram, but names no files, tests, or entry points. Start by locating the existing histogram implementation and its tests, then determine the KDE behavior and acceptance criteria before making changes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100