Classification stats - evidence key filter and stats
- Dominant language
- Python
- Stars
- 30
- Forks
- 3
- Avg merge
- 9h 22m
- Merged PRs (30d)
- 40
Description
Not infrequently, I want to see how people have actually filled in evidence keys.
For instance: how have people filled out the "splicing_assertion"? How many times in say, a P/LP?
I think it would be useful to be able to somehow filter what classifications are returned (say, via the standard grid + filters)
Then, select what evidence keys you are interested in. Either via a multi-select auto complete or maybe checkboxes (I generated one dynamically via get_mult_choice_form)
Then display value counts, or maybe even things like mean/graphs of distribution for fields that are int/floats etc
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the standard grid and filters entry point, then inspect how get_mult_choice_form is used for dynamically generated choices. Define the scope for filtering classifications by evidence key and presenting value counts or numeric distributions; done should include an agreed interaction and representative results for the requested evidence fields.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- analytics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100