Hotspot Heatmap
Rows are destinations, columns are departure time blocks, and cell color encodes average departure delay minutes. Redder cells indicate worse structural pressure out of ATL after qualification filters.
The top-ranked hotspot cell will be highlighted once data loads.
Interpretation Frame
This dashboard separates ranked hotspot cells from their monthly traces so the top-ranked destination-bank combinations can be assessed for severity, repeatability, and ATL bank congestion patterns.
- The worst hotspot will be summarized here after the ranking rows load.
- Persistence will be inferred from qualifying-month coverage and the first-to-last qualifying span.
- The top 5 cells will be used to describe whether pressure is concentrated in a few ATL departure banks or spread more broadly.
Monthly Trend View For Top 3 Hotspot Cells
The trend cards are derived directly from the top 3 ranked hotspot cells in the fetched result set. This view shows whether the highest-delay cells are steady recurring pressure points or narrow spikes.
Top 20 Hotspot Ranking
Ranking priority follows average departure delay first, then p90 delay, then the share of flights delayed 15+ minutes, with completed volume as the final tiebreaker.
| Rank | Dest | DepTimeBlk | Avg Delay | P90 Delay | DepDel15% | Flights | Qualifying Months | First Month | Last Month |
|---|
Query Ledger
Data provenance is kept explicit. This artifact renders the canonical result produced by qforge after the saved SQL was executed against the configured MCP server within the allowed dataset scope.
| Label | Role | Status | Rows | Source |
|---|
Dataset Scope
The saved query is constrained to Delta departures from ATL using default.ontime_v2. No references to default.ontime are required for this artifact.