Overview: Aggregate
An aggregate refers to mathematical operations performed on a group of numbers, such as finding the average value, the standard deviation and row count, for example. In this operation, selected available double, integer or string fields are used for grouping, and then the required aggregate operation is performed on fields selected by the user during configuration.
Understanding grouping and aggregation
Properties
Category: |
Transform |
Performance risk: |
Low performance risk |
Knowledge required: |
None |
Effect on datasets
How many datasets are required to perform this operation? |
One |
Does it create a new dataset? |
Yes |
Can you reconfigure this operation? |
Yes |
Can you apply this operation to a locked dataset? |
Yes |
Does it modify the current dataset in any way? |
No |
Requirements
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A dataset that contains at least one double, integer or string field to group by, and one or more fields to aggregate.
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Note:
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You cannot select aggregates over the field used for grouping.
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You cannot apply the same aggregation twice on the same field.
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Results
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A new dataset is created, listing the fields you grouped by, and all the aggregations performed on the selected fields.
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