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Triggering operations via drop zones
Triggering operations via drop zones

Workbench drop zones provide the most relevant processing options for your data and trigger operation sequences based on your objective.

Tomas Larsson avatar
Written by Tomas Larsson
Updated over a week ago

Keywords: operations, drop zone

Drop zones are used to transfer data from one workbench to another and provide inputs for workbench settings. But they can also be used for triggering operations or sequences of operations.

For example, try to drag a text field to the "Document Landscaping" drop zone in the Scatter Plot workbench. The texts will now be clustered based on semantic similarity.

If you open the Manage Pipeline sidebar, you can see that this is the result of a sequence of operations: first, the texts were tokenized; then, they underwent vectorization; finally, they were reduced to two dimensions. You can easily change the settings of these operations from the Manage Pipeline sidebar.

Thanks to the drop zones, you don't need to worry about how to apply these operations one by one if you don't want to. It's enough to know what end result you want to achieve.

The drop zones are context-aware, which means that what options you will see depends on the field type and what workbench you drag it from. The workbench is trying to predict what you might want to do with your data, and provide the most relevant options.

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