.. _auto_dataset_reduce:

*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
------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20 20 20

   * - 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
-------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20

   * - 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 <https://www.d3view.com/api/workflow/example?id=dataset_reduce>`_

.. raw:: html

   <hr style="margin-top:2em">
   <p style="font-size:11px;color:#888">
   Auto-generated from <code>transformation</code> schema. Worker id: <code>dataset_reduce</code>. Schema hash: <code>05b921f1a54c</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>