SACGF / SACGF/variantgrid

Classification stats - evidence key filter and stats

Open
#1,395 2 comments 0 reactions 0 assignees View on GitHub
good first issue
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

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