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.
Inputs¶
| 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¶
| 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
Auto-generated from transformation schema. Worker id: dataset_sanitize_column_names. Schema hash: af8ddfad252c. Hand-curated docs in workerexamples/ override this page when present.