Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.QuickSight.Types.PercentileAggregation

Description

Synopsis

data PercentileAggregation = PercentileAggregation' {
- percentileValue :: Maybe Double
}
newPercentileAggregation :: PercentileAggregation
percentileAggregation_percentileValue :: Lens' PercentileAggregation (Maybe Double)

Documentation

data PercentileAggregation Source #

An aggregation based on the percentile of values in a dimension or measure.

See: newPercentileAggregation smart constructor.

Constructors

PercentileAggregation'
Fields percentileValue :: Maybe Double The percentile value. This value can be any numeric constant 0–100. A percentile value of 50 computes the median value of the measure.

Instances

Instances details

FromJSON PercentileAggregation Source #
Instance details Defined in Amazonka.QuickSight.Types.PercentileAggregation Methods parseJSON :: Value -> Parser PercentileAggregation # parseJSONList :: Value -> Parser [PercentileAggregation] #
ToJSON PercentileAggregation Source #
Instance details Defined in Amazonka.QuickSight.Types.PercentileAggregation Methods toJSON :: PercentileAggregation -> Value # toEncoding :: PercentileAggregation -> Encoding # toJSONList :: [PercentileAggregation] -> Value # toEncodingList :: [PercentileAggregation] -> Encoding #
Generic PercentileAggregation Source #
Instance details Defined in Amazonka.QuickSight.Types.PercentileAggregation Associated Types type Rep PercentileAggregation :: Type -> Type # Methods from :: PercentileAggregation -> Rep PercentileAggregation x # to :: Rep PercentileAggregation x -> PercentileAggregation #
Read PercentileAggregation Source #
Instance details Defined in Amazonka.QuickSight.Types.PercentileAggregation Methods readsPrec :: Int -> ReadS PercentileAggregation # readList :: ReadS [PercentileAggregation] # readPrec :: ReadPrec PercentileAggregation # readListPrec :: ReadPrec [PercentileAggregation] #
Show PercentileAggregation Source #
Instance details Defined in Amazonka.QuickSight.Types.PercentileAggregation Methods showsPrec :: Int -> PercentileAggregation -> ShowS # show :: PercentileAggregation -> String # showList :: [PercentileAggregation] -> ShowS #
NFData PercentileAggregation Source #
Instance details Defined in Amazonka.QuickSight.Types.PercentileAggregation Methods rnf :: PercentileAggregation -> () #
Eq PercentileAggregation Source #
Instance details Defined in Amazonka.QuickSight.Types.PercentileAggregation Methods (==) :: PercentileAggregation -> PercentileAggregation -> Bool # (/=) :: PercentileAggregation -> PercentileAggregation -> Bool #
Hashable PercentileAggregation Source #
Instance details Defined in Amazonka.QuickSight.Types.PercentileAggregation Methods hashWithSalt :: Int -> PercentileAggregation -> Int # hash :: PercentileAggregation -> Int #
type Rep PercentileAggregation Source #
Instance details Defined in Amazonka.QuickSight.Types.PercentileAggregation type Rep PercentileAggregation = D1 ('MetaData "PercentileAggregation" "Amazonka.QuickSight.Types.PercentileAggregation" "amazonka-quicksight-2.0-9P6nV9koXl6GTlt8ZjS7C9" 'False) (C1 ('MetaCons "PercentileAggregation'" 'PrefixI 'True) (S1 ('MetaSel ('Just "percentileValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newPercentileAggregation :: PercentileAggregation Source #

Create a value of PercentileAggregation with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:percentileValue:PercentileAggregation', percentileAggregation_percentileValue - The percentile value. This value can be any numeric constant 0–100. A percentile value of 50 computes the median value of the measure.

percentileAggregation_percentileValue :: Lens' PercentileAggregation (Maybe Double) Source #

The percentile value. This value can be any numeric constant 0–100. A percentile value of 50 computes the median value of the measure.