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.IoT.Types.Statistics

Description

Synopsis

data Statistics = Statistics' {
- average :: Maybe Double
- count :: Maybe Int
- maximum :: Maybe Double
- minimum :: Maybe Double
- stdDeviation :: Maybe Double
- sum :: Maybe Double
- sumOfSquares :: Maybe Double
- variance :: Maybe Double
}
newStatistics :: Statistics
statistics_average :: Lens' Statistics (Maybe Double)
statistics_count :: Lens' Statistics (Maybe Int)
statistics_maximum :: Lens' Statistics (Maybe Double)
statistics_minimum :: Lens' Statistics (Maybe Double)
statistics_stdDeviation :: Lens' Statistics (Maybe Double)
statistics_sum :: Lens' Statistics (Maybe Double)
statistics_sumOfSquares :: Lens' Statistics (Maybe Double)
statistics_variance :: Lens' Statistics (Maybe Double)

Documentation

data Statistics Source #

A map of key-value pairs for all supported statistics. For issues with missing or unexpected values for this API, consult Fleet indexing troubleshooting guide.

See: newStatistics smart constructor.

Constructors

Statistics'

Fields

average :: Maybe Double
The average of the aggregated field values.
count :: Maybe Int
The count of things that match the query string criteria and contain a valid aggregation field value.
maximum :: Maybe Double
The maximum aggregated field value.
minimum :: Maybe Double
The minimum aggregated field value.
stdDeviation :: Maybe Double
The standard deviation of the aggregated field values.
sum :: Maybe Double
The sum of the aggregated field values.
sumOfSquares :: Maybe Double
The sum of the squares of the aggregated field values.
variance :: Maybe Double
The variance of the aggregated field values.

Instances

Instances details

FromJSON Statistics Source #
Instance details Defined in Amazonka.IoT.Types.Statistics Methods parseJSON :: Value -> Parser Statistics # parseJSONList :: Value -> Parser [Statistics] #
Generic Statistics Source #
Instance details Defined in Amazonka.IoT.Types.Statistics Associated Types type Rep Statistics :: Type -> Type # Methods from :: Statistics -> Rep Statistics x # to :: Rep Statistics x -> Statistics #
Read Statistics Source #
Instance details Defined in Amazonka.IoT.Types.Statistics Methods readsPrec :: Int -> ReadS Statistics # readList :: ReadS [Statistics] # readPrec :: ReadPrec Statistics # readListPrec :: ReadPrec [Statistics] #
Show Statistics Source #
Instance details Defined in Amazonka.IoT.Types.Statistics Methods showsPrec :: Int -> Statistics -> ShowS # show :: Statistics -> String # showList :: [Statistics] -> ShowS #
NFData Statistics Source #
Instance details Defined in Amazonka.IoT.Types.Statistics Methods rnf :: Statistics -> () #
Eq Statistics Source #
Instance details Defined in Amazonka.IoT.Types.Statistics Methods (==) :: Statistics -> Statistics -> Bool # (/=) :: Statistics -> Statistics -> Bool #
Hashable Statistics Source #
Instance details Defined in Amazonka.IoT.Types.Statistics Methods hashWithSalt :: Int -> Statistics -> Int # hash :: Statistics -> Int #
type Rep Statistics Source #
Instance details Defined in Amazonka.IoT.Types.Statistics type Rep Statistics = D1 ('MetaData "Statistics" "Amazonka.IoT.Types.Statistics" "amazonka-iot-2.0-6w03vgAfmrM1SG22OsNJXL" 'False) (C1 ('MetaCons "Statistics'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "average") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "count") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))) :: (S1 ('MetaSel ('Just "maximum") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "minimum") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: ((S1 ('MetaSel ('Just "stdDeviation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "sum") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "sumOfSquares") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "variance") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))))

newStatistics :: Statistics Source #

Create a value of Statistics 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:average:Statistics', statistics_average - The average of the aggregated field values.

$sel:count:Statistics', statistics_count - The count of things that match the query string criteria and contain a valid aggregation field value.

$sel:maximum:Statistics', statistics_maximum - The maximum aggregated field value.

$sel:minimum:Statistics', statistics_minimum - The minimum aggregated field value.

$sel:stdDeviation:Statistics', statistics_stdDeviation - The standard deviation of the aggregated field values.

$sel:sum:Statistics', statistics_sum - The sum of the aggregated field values.

$sel:sumOfSquares:Statistics', statistics_sumOfSquares - The sum of the squares of the aggregated field values.

$sel:variance:Statistics', statistics_variance - The variance of the aggregated field values.

statistics_average :: Lens' Statistics (Maybe Double) Source #

The average of the aggregated field values.

statistics_count :: Lens' Statistics (Maybe Int) Source #

The count of things that match the query string criteria and contain a valid aggregation field value.

statistics_maximum :: Lens' Statistics (Maybe Double) Source #

The maximum aggregated field value.

statistics_minimum :: Lens' Statistics (Maybe Double) Source #

The minimum aggregated field value.

statistics_stdDeviation :: Lens' Statistics (Maybe Double) Source #

The standard deviation of the aggregated field values.

statistics_sum :: Lens' Statistics (Maybe Double) Source #

The sum of the aggregated field values.

statistics_sumOfSquares :: Lens' Statistics (Maybe Double) Source #

The sum of the squares of the aggregated field values.

statistics_variance :: Lens' Statistics (Maybe Double) Source #

The variance of the aggregated field values.