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Comment: PFUN-22020

By utilizing the aggregation and grouping features, you can establish groups within the Result Matrix and subsequently perform aggregation operations on these groups, such as SUM, COUNT, etc.

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Code Block
languagegroovy
def groupByData = api.newMatrix()
             // Definition of result matrix (columns, rows).
             .withColumns('TextColumn1', 'TextColumn2', 'NumericColumn3', 'NumericColumn4')
             .withRows(rows)
             // Property `.withGroupBy` defines that the `TextColumn1` and `NumericColumn3` are used for group by (The order is important).                     
             .withGroupBy(['TextColumn1', 'NumericColumn3'])
             // Property `.withColumnAggregation` defines the values for subtotal rows that will be calculated as SUM.
             // Values are based on the group by definition (`NumericColumn3`). This definition is optional.
             // When not used, like e.g. for `TextColumn1`, there will be no aggregation calculated for the `TextColumn1`.
             .withColumnAggregation('NumericColumn3', SUM)
             // Property `.calculateGroupByData` is an end statement for group definition.
             // This statement is only used together with `.withColumnAggregation`.
             .calculateGroupByData()

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