This step checks each row of the input column to determine if the value is missing (null or NaN). The result is a new boolean column, where each row indicates whether the corresponding element in the input column is missing.

The step can work with single-valued and multi-valued columns, and the output can be configured to be either boolean (true/false), numeric (0/1) or categorical (custom labels).

  • For single-valued columns: Each row in the output column will be true if the corresponding value in the input column is missing, and false otherwise.
  • For multivalued columns: Each row in the output column will be true if the corresponding sub-list in the input column is empty, and false otherwise.
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out_type
string
default: "boolean"

Output type. The data type of the output column.

  • ‘boolean’: Output is true/false indicating missing or not.
  • ‘number’: Output is 0/1 indicating missing or not.
  • ‘category’: Output is specified by params[“labels”][“true”] and params[“labels”][“false”].

Values must be one of the following:

  • boolean
  • number
  • category
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labels
object

Labels for the true and false categories. An object mapping the “true” and “false” categories to custom labels.

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