.. _auto_dataset_sanitize_column_names:

*DATASET SANITIZE COLUMN NAMES*
===============================

Sanitizes all column names in a dataset by stripping or replacing invalid characters (spaces, special symbols, etc.) to produce clean, code-safe identifiers. Use this worker before passing a dataset into downstream ML or analysis workers that require well-formed column names.

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

Classification: **process**.

Tagged: ``"``, ``_``, ``a``, ``c``, ``d``, ``e``, ``f``, ``g``.

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 whose column names need sanitizing; accepts any tabular dataset — leave unconnected if the dataset will be injected at runtime.

Outputs
-------

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

   * - Label
     - ID
     - Type
     - Description
   * - dataset_sanitize_columns_output_1
     - dataset_sanitize_column_output_1
     - dataset
     - Output dataset identical in rows and data to the input but with all column names replaced by sanitized, code-safe identifiers.

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_sanitize_column_names <https://www.d3view.com/api/workflow/example?id=dataset_sanitize_column_names>`_

.. 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_sanitize_column_names</code>. Schema hash: <code>af8ddfad252c</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>