Matrices, tables and analysis panels
Numeric heatmap
A grid where cell colour encodes a numeric measure: magnitude at a glance across two axes.
matrix.heatmap@1New DDN source
Why use it?
Outliers hide in tables and shout in heatmaps.
When it helps
Load, cost, error or latency across services and time windows.
How to read it
- Colour is the number — darker/hotter means larger.
- Read the scale first: the same colour means different numbers on different maps.
What you need
- The two axes
- The measure and its unit
- The scale
Things to check
- Do not compare colours across heatmaps with different scales.
- Do not let one extreme cell flatten the rest of the scale.
Scope of this diagram
Declared scale from declared data; no automatic outlier detection.
Work with the converted example
- Open the viewer and select
heat_numeric. Inspect the rendered view and its source. - Open the designer. Keep the selected profile and inspect its legal palette and property controls.
- Change one displayed title or an appropriate data value. Apply the edit and check the resulting diagram.
- Run the verifier and review its diagnostics before moving complete content into review.
- Download your edited DDN source to retain the change.
The example uses the indentation-based ddn-next-1 dialect. The language guide explains reusable definitions, dotted data rows and explicit property blocks.