Add “First-Glance” Statistics for Search Results
- Dominant language
- Python
- Stars
- 2
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
We should enrich the search results page with lightweight exploratory statistics to help users understand patterns in the matched corpus.
**Proposed additions:**
- Keyword distribution (including partial-word matches and regex cases).
- Frequent previous/next tokens around each hit (simple ±1 context).
- Timeline distribution of matches (histogram/bar plot or compact sparkline).
- Optional: top documents, speaker/source breakdown, average snippet length.
**Motivation:**
These quick-look stats will make the interface more informative and help identify patterns before diving into detailed results. Useful for both exploratory research and debugging queries.
**Implementation notes:**
- Should run fast on the indexed results (no deep re-scan).
- Keep computation modular so each statistic can be toggled on/off.
- Consider exporting the stats as JSON for future visualization.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start at the search results page and the indexed-results path described in the issue. Define the statistic set and toggles before implementing; done means fast, modular keyword, context, and timeline statistics are available, with optional JSON export if included.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization, search
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100