experimental.stddev() function is subject to change at any time.
By using this function, you accept the risks of experimental functions.
experimental.stddev() function computes the standard deviation of non-null
values in the
_value column for each input table.
Function type: Aggregate
Output data type: Float
import "experimental" experimental.stddev(mode: "sample")
The standard deviation mode or type of standard deviation to calculate.
Data type: String
Calculate the sample standard deviation where the data is considered to be part of a larger population.
Calculate the population standard deviation where the data is considered a population of its own.
import "experimental" from(bucket: "example-bucket") |> range(start: -5m) |> filter(fn: (r) => r._measurement == "cpu" and r._field == "usage_system" ) |> experimental.stddev()
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