Amazonka.QuickSight.Types.NumericalAggregationFunction

Documentation

data NumericalAggregationFunction

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

FromJSON NumericalAggregationFunction

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

parseJSON :: Value -> Parser NumericalAggregationFunction

parseJSONList :: Value -> Parser [NumericalAggregationFunction]

ToJSON NumericalAggregationFunction

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

toJSON :: NumericalAggregationFunction -> Value

toEncoding :: NumericalAggregationFunction -> Encoding

toJSONList :: [NumericalAggregationFunction] -> Value

toEncodingList :: [NumericalAggregationFunction] -> Encoding

Generic NumericalAggregationFunction

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

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

readsPrec :: Int -> ReadS NumericalAggregationFunction

readList :: ReadS [NumericalAggregationFunction]

readPrec :: ReadPrec NumericalAggregationFunction

readListPrec :: ReadPrec [NumericalAggregationFunction]

Show NumericalAggregationFunction

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

showsPrec :: Int -> NumericalAggregationFunction -> ShowS

show :: NumericalAggregationFunction -> String

showList :: [NumericalAggregationFunction] -> ShowS

NFData NumericalAggregationFunction

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

rnf :: NumericalAggregationFunction -> ()

Eq NumericalAggregationFunction

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

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

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

Hashable NumericalAggregationFunction

Defined in Amazonka.QuickSight.Types.NumericalAggregationFunction

Methods

hashWithSalt :: Int -> NumericalAggregationFunction -> Int

hash :: NumericalAggregationFunction -> Int

type Rep NumericalAggregationFunction

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

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)

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

numericalAggregationFunction_simpleNumericalAggregation :: Lens' NumericalAggregationFunction (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.