CURVE STATISTICS¶
Computes descriptive statistics across a collection of input curves and returns the results as a tabular dataset. Use this worker when you need summary metrics (e.g., min, max, mean, standard deviation) over one or more time-history or XY curves in a workflow.
When to use¶
Classification: process.
Tagged: curve_statistics, descriptive_stats, summary_metrics, time_history, xy_curves.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Curves In | curves_in | vector | — | One or more XY/time-history curves to analyse; accepts a vector of curve objects — leave empty only if statistics are to be computed downstream from a chained source. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| curves_stats_output_1 | curves_stats_output_1 | dataset | Tabular dataset (rows = curves, columns = statistical measures such as min, max, mean, and standard deviation) summarising the input curve collection. |
Disciplines¶
- data.curve.pair
- data.statistics
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=curves_stats
Auto-generated from transformation schema. Worker id: curves_stats. Schema hash: cf4f10f76d85. Hand-curated docs in workerexamples/ override this page when present.