P10 and P25 functions in Explore Query / Dashboards
Open
Product Area: Explore
- Dominant language
- Python
- Stars
- 44.8k
- Forks
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- Avg merge
- 22h 21m
- Merged PRs (30d)
- 586
Description
### Problem Statement
Following the trend of P75, P50, etc. it would be very helpful to be able to select a P10 or P25 for certain aggregate data to sample the "low end" of certain metrics. For example, in a video game, selecting the P10 for average FPS to determine "low performance."
### Solution Brainstorm
_No response_
### Product Area
Explore
Contributor guide
Research direction
Start by locating the Explore query and dashboard controls for selecting aggregate functions, then determine how existing percentile options are represented. Done means P10 and P25 can be selected for applicable aggregate data and produce the expected low-end metric results.
Written by the indexing model from the issue text.
Assessment
- Domain
- analytics, data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100