REDUCE DATASET TO SINGLE COLUMN AND UNIFY KEYS¶
Reduces a multi-column dataset to a single unified column by collapsing all key-value pairs into a common key structure. Use this worker when you need to normalise heterogeneous datasets into a single, consistently-keyed column before downstream processing or joining.
When to use¶
Classification: process.
Tagged: collapse, dataset, keys, normalise, reduce, single-column, transform, unify.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Dataset | dataset | dataset | — | Input dataset to be reduced; may contain any number of columns with heterogeneous keys — leave empty if the dataset will be supplied dynamically at runtime. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| Dataset Reduced | dataset_reduced | dataset | Resulting single-column dataset with all keys unified into a consistent structure, ready for downstream merging or analysis. |
Disciplines¶
- data.dataset.transform
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_reduce
Auto-generated from transformation schema. Worker id: dataset_reduce. Schema hash: 05b921f1a54c. Hand-curated docs in workerexamples/ override this page when present.