Map values of a single column to the outputs datasets

Split on column

based on

Value

Output

{{vs.value}}
Other values

Define a filter for each output dataset

Filters

Location
All other values

Randomly dispatch data on the output datasets

Dispatch mode

{{randomColumnsInfoOpen ? "Close Info " : "More Info "}}
Group records based on one or multiple columns, and randomly split the data according to given ratios. This mode ensures all records of a single group to end up in the same output dataset.
As an example, you can use this mode to create train and test sets containing distinct clients. This would enable training a machine learning model and testing it on previously unseen clients.

Set Random Seed

Using a fixed random seed allows for reproducible result

Dispatch percentiles of sorted data on output datasets

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