.. _auto_dataset_normalize:

*NORMALIZE COLUMNS IN THE DATASET*
==================================

Normalizes one or more numeric columns in a dataset using either standard (z-score) or min-max scaling. Use this worker to bring features onto a common scale before machine-learning or statistical analysis steps.

When to use
-----------

Classification: **process**.

Tagged: ``column_transform``, ``dataset``, ``feature_scaling``, ``minmax``, ``normalize``, ``standard_scaler``, ``z-score``.

Inputs
------

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

   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - Dataset
     - dataset_1
     - dataset
     - —
     - 
     - Input dataset containing the columns to be normalized; accepts any tabular dataset object available in the workflow.
   * - Columns
     - columns
     - scalar
     - —
     - 
     - One or more column names from dataset_1 to normalize; leave blank to normalize all numeric columns.
   * - Normalization Type
     - normalization_type
     - scalar
     - 1norm
     - 
     - Normalization method to apply: 'standard' (z-score, zero mean / unit variance — more robust to outliers, recommended default) or 'minmax' (scales values to the [0, 1] range).

Outputs
-------

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

   * - Label
     - ID
     - Type
     - Description
   * - dataset_normalization_output_1
     - dataset_normalization_output_1
     - dataset
     - Output dataset identical in structure to the input, with the selected columns replaced by their normalized values.

Disciplines
-----------

- ai_ml.preprocessing
- 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_normalize <https://www.d3view.com/api/workflow/example?id=dataset_normalize>`_

.. 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_normalize</code>. Schema hash: <code>67f91fda2ea3</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>