DATASET TRIM COLUMN NAMES AND VALUES¶
Strips leading and trailing whitespace from all column names and string values in a dataset. Use this worker to clean datasets that contain padded or inconsistently formatted headers and text fields before downstream processing or analysis.
When to use¶
Classification: process.
Tagged: clean, column_names, dataset, preprocessing, string_values, trim, whitespace.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Choose Dataset | dataset_1 | dataset | — | Input dataset whose column names and string cell values will be trimmed of leading/trailing whitespace; accepts any tabular dataset — leave empty if the dataset is piped in from an upstream worker. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| dataset_trim_column_names_and_values_output_1 | dataset_trim_column_names_and_values_output_1 | dataset | Cleaned dataset identical in structure to the input but with all column headers and string values stripped of surrounding whitespace. |
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_trim_column_names_and_values
Auto-generated from transformation schema. Worker id: dataset_trim_column_names_and_values. Schema hash: e0a62cacaf2c. Hand-curated docs in workerexamples/ override this page when present.