experimental.stddev() function
The experimental.stddev()
function is subject to change at any time.
By using this function, you accept the risks of experimental functions.
The experimental.stddev()
function computes the standard deviation of non-null
values in the _value
column for each input table.
experimental.stddev()
is an aggregate function.
import "experimental"
experimental.stddev(mode: "sample")
Parameters
mode
The standard deviation mode or type of standard deviation to calculate.
Defaults to "sample"
.
Available options:
sample
Calculate the sample standard deviation where the data is considered to be part of a larger population.
population
Calculate the population standard deviation where the data is considered a population of its own.
tables
Input data.
Default is piped-forward data (<-
).
Examples
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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