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Using Aggregate Functions in Calculated Fields
You can use the following aggregate functions on calculated fields during analysis and visualization:

Average (avg) – Averages the set of numbers in the specified measure, grouped by the chosen dimension or dimensions.

Count (count) – Calculates the number of values in a dimension or measure, grouped by the chosen dimension or dimensions.

Distinct Count (distinct_count) – Calculates the number of distinct values in a dimension or measure, grouped by the chosen dimension or dimensions.

Maximum (max) – Returns the maximum value of the specified measure, grouped by the chosen dimension or dimensions.

Minimum (min) – Returns the minimum value of the specified measure, grouped by the chosen dimension or dimensions.

Sum (sum) – Adds the set of numbers in the specified measure, grouped by the chosen dimension or dimensions.

Sample Standard Deviation (stdev) – calculates the standard deviation of the set of numbers in the specified measure, grouped by the chosen dimension or dimensions, based on a sample.

Population Standard Deviation (stdevp) – calculates the standard deviation of the set of numbers in the specified measure, grouped by the chosen dimension or dimensions, based on a biased population.

Sample Variance (var) – calculates the variance of the set of numbers in the specified measure, grouped by the chosen dimension or dimensions, based on a sample.

Population Variance (varp) – calculates the variance of the set of numbers in the specified measure, grouped by the chosen dimension or dimensions, based on a biased population.

For each aggregation, there is also a conditional aggregation. It performs the same type of aggregation, based on a condition. Conditional aggregations include avgIf, countIf, distinct_countIf, maxIf, minIf, sumIf, stdevIf, stdevpIf, varIf, and varpIf.
When a calculated field formula contains an aggregation, it becomes a custom aggregation. To make sure your data is accurately displayed, Amazon QuickSight applies the following rules:

Custom aggregations can't contain nested aggregate functions. For example, this formula won't work:
sum(avg(x)/avg(y))
. However, nesting nonaggregated functions inside or outside aggregate functions do work. For example,ceil(avg(x))
works. So doesavg(ceil(x))
. 
Custom aggregations can't contain both aggregated and nonaggregated fields, in any combination. For example, this formula won't work:
Sum(sales)+quantity
. 
Filter groups can't contain both aggregated and nonaggregated fields.

Custom aggregations can't be converted to a dimension. They also can't be dropped into the field well as a dimension.

In a pivot table, custom aggregations can't be added to table calculations.

Scatter plots with custom aggregations need at least one dimension under Group/Color in the field wells.
For more information about supported functions and operators, see Calculated Field Function and Operator Reference for Amazon QuickSight .
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