DATASET COMPUTE AVERAGES¶
Computes the column-wise mean for one or more columns in a dataset and returns the results as a new single-row dataset. Use this worker to quickly summarize numeric columns without writing custom expressions.
When to use¶
Classification: process.
Tagged: aggregation, column_stats, compute_averages, dataset_transform, mean.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Dataset | dataset_1 | dataset | — | Input dataset whose columns will be averaged; accepts any tabular dataset — leave unconnected only if the worker is being tested in isolation. | |
| Columns | columns | scalar | — | One or more column names to average; supports multi-select driven by the connected dataset. Leave blank (default) to compute averages for all numeric columns. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| Average Dataset | dataset_ca_output_1 | dataset | Single-row dataset containing the computed mean value for each selected (or all) column(s), with column names matching the input dataset. |
Disciplines¶
- data.dataset.transform
- data.statistics
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_compute_averages
Auto-generated from transformation schema. Worker id: dataset_compute_averages. Schema hash: 370b3067514f. Hand-curated docs in workerexamples/ override this page when present.