amazonka-quicksight-2.0: Amazon QuickSight SDK.
Copyright(c) 2013-2023 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellSafe-Inferred
LanguageHaskell2010

Amazonka.QuickSight.Types.NumericalAggregationFunction

Description

 
Synopsis

Documentation

data NumericalAggregationFunction Source #

Aggregation for numerical values.

See: newNumericalAggregationFunction smart constructor.

Constructors

NumericalAggregationFunction' 

Fields

  • percentileAggregation :: Maybe PercentileAggregation

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

  • simpleNumericalAggregation :: Maybe SimpleNumericalAggregationFunction

    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.

Instances

Instances details
FromJSON NumericalAggregationFunction Source # 
Instance details

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

parseJSON :: Value -> Parser NumericalAggregationFunction #

parseJSONList :: Value -> Parser [NumericalAggregationFunction] #

ToJSON NumericalAggregationFunction Source # 
Instance details

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

toJSON :: NumericalAggregationFunction -> Value #

toEncoding :: NumericalAggregationFunction -> Encoding #

toJSONList :: [NumericalAggregationFunction] -> Value #

toEncodingList :: [NumericalAggregationFunction] -> Encoding #

Generic NumericalAggregationFunction Source # 
Instance details

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Associated Types

type Rep NumericalAggregationFunction :: Type -> Type #

Methods

from :: NumericalAggregationFunction -> Rep NumericalAggregationFunction x #

to :: Rep NumericalAggregationFunction x -> NumericalAggregationFunction #

Read NumericalAggregationFunction Source # 
Instance details

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

readsPrec :: Int -> ReadS NumericalAggregationFunction #

readList :: ReadS [NumericalAggregationFunction] #

readPrec :: ReadPrec NumericalAggregationFunction #

readListPrec :: ReadPrec [NumericalAggregationFunction] #

Show NumericalAggregationFunction Source # 
Instance details

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

showsPrec :: Int -> NumericalAggregationFunction -> ShowS #

show :: NumericalAggregationFunction -> String #

showList :: [NumericalAggregationFunction] -> ShowS #

NFData NumericalAggregationFunction Source # 
Instance details

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

rnf :: NumericalAggregationFunction -> () #

Eq NumericalAggregationFunction Source # 
Instance details

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

(==) :: NumericalAggregationFunction -> NumericalAggregationFunction -> Bool #

(/=) :: NumericalAggregationFunction -> NumericalAggregationFunction -> Bool #

Hashable NumericalAggregationFunction Source # 
Instance details

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

hashWithSalt :: Int -> NumericalAggregationFunction -> Int #

hash :: NumericalAggregationFunction -> Int #

type Rep NumericalAggregationFunction Source # 
Instance details

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

type Rep NumericalAggregationFunction = D1 ('MetaData "NumericalAggregationFunction" "Amazonka.QuickSight.Types.NumericalAggregationFunction" "amazonka-quicksight-2.0-9P6nV9koXl6GTlt8ZjS7C9" 'False) (C1 ('MetaCons "NumericalAggregationFunction'" 'PrefixI 'True) (S1 ('MetaSel ('Just "percentileAggregation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PercentileAggregation)) :*: S1 ('MetaSel ('Just "simpleNumericalAggregation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SimpleNumericalAggregationFunction))))

newNumericalAggregationFunction :: NumericalAggregationFunction Source #

Create a value of NumericalAggregationFunction 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:percentileAggregation:NumericalAggregationFunction', numericalAggregationFunction_percentileAggregation - An aggregation based on the percentile of values in a dimension or measure.

$sel:simpleNumericalAggregation:NumericalAggregationFunction', numericalAggregationFunction_simpleNumericalAggregation - 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.

numericalAggregationFunction_percentileAggregation :: Lens' NumericalAggregationFunction (Maybe PercentileAggregation) Source #

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

numericalAggregationFunction_simpleNumericalAggregation :: Lens' NumericalAggregationFunction (Maybe SimpleNumericalAggregationFunction) Source #

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.