Interface CfnTemplate.NumericalAggregationFunctionProperty
- All Superinterfaces:
software.amazon.jsii.JsiiSerializable
- All Known Implementing Classes:
CfnTemplate.NumericalAggregationFunctionProperty.Jsii$Proxy
- Enclosing class:
CfnTemplate
@Stability(Stable)
public static interface CfnTemplate.NumericalAggregationFunctionProperty
extends software.amazon.jsii.JsiiSerializable
Aggregation for numerical values.
Example:
// The code below shows an example of how to instantiate this type. // The values are placeholders you should change. import software.amazon.awscdk.services.quicksight.*; NumericalAggregationFunctionProperty numericalAggregationFunctionProperty = NumericalAggregationFunctionProperty.builder() .percentileAggregation(PercentileAggregationProperty.builder() .percentileValue(123) .build()) .simpleNumericalAggregation("simpleNumericalAggregation") .build();
- See Also:
-
Nested Class Summary
Modifier and TypeInterfaceDescriptionstatic final class
A builder forCfnTemplate.NumericalAggregationFunctionProperty
static final class
An implementation forCfnTemplate.NumericalAggregationFunctionProperty
-
Method Summary
Methods inherited from interface software.amazon.jsii.JsiiSerializable
$jsii$toJson
-
Method Details
-
getPercentileAggregation
An aggregation based on the percentile of values in a dimension or measure.- See Also:
-
getSimpleNumericalAggregation
Built-in aggregation functions for numerical values.SUM
: The sum of a dimension or measure.AVERAGE
: The average of a dimension or measure.MIN
: The minimum value of a dimension or measure.MAX
: The maximum value of a dimension or measure.COUNT
: The count of a dimension or measure.DISTINCT_COUNT
: The count of distinct values in a dimension or measure.VAR
: The variance of a dimension or measure.VARP
: The partitioned variance of a dimension or measure.STDEV
: The standard deviation of a dimension or measure.STDEVP
: The partitioned standard deviation of a dimension or measure.MEDIAN
: The median value of a dimension or measure.
- See Also:
-
builder
-