Recipe steps that change the number of rows in the dataset have additional impacts on your dataset and its samples. These reshaping steps include the following transformations:
| Transformation | Documentation |
|---|---|
| Splitrows | Initial Parsing Steps |
| Expand Arrays into Rows | Working with Arrays |
| Filter Rows (keep or delete) | Remove Data |
| Pivot Table | Pivot Data |
| Unpivot Columns | |
| Join Datasets | Join Panel |
| Union Datasets | Union Page |
| Select Lookup from the column menu | Lookup Wizard |
| Remove Duplicate Rows | Remove Data |
Samples:
When one of these transformations is applied and rows are removed from your dataset:
- Any samples generated before the step was added are invalidated and cannot be used.
- If you edit steps in your recipe before this added transformation, any samples that you generated after the step are invalidated and cannot be used.
- A valid head sample is always available for use.
For more information, see Samples Panel.
- concept
- wrangle_transform_split
- wrangle_transform_splitrows
- wrangle_transform_unnest
- wrangle_transform_drop
- wrangle_transform_header
- header
- wrangle_transform_flatten
- wrangle_transform_keep
- wrangle_transform_delete
- wrangle_transform_pivot
- wrangle_transform_unpivot
- wrangle_transform_join
- wrangle_transform_union
- wrangle_transform_lookup
- wrangle_transform_deduplicate
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