Non-null variance (unbiased) (nnuvar)
Description
This operation calculates the biased variance of the non-null values found in a specified column for each grouping occurrence. If you want to include null values, you can use the Variance (biased) (var) operation and if you want to calculate the unbiased variant, you can use the Non-null variance (unbiased) (nnuvar) operation.
How does it work in the search window?
Before being able to perform this operation, you have to group your data. Be aware that the columns used as arguments for the grouping operation will not be available to select as arguments for the aggregation operation.
After grouping the data, select Aggregation in the search window toolbar, then select the Non-null variance (biased) operation. You need to specify one argument:
Argument | Data type |
---|---|
Biased variance of mandatory | integer, float |
The data type of the aggregated values is float.
Example
In the siem.logtrust.web.activity
 table, we want to calculate the biased variance of the non-null values found in the responseLength column during each 5-minute period. Before aggregating the data, the table must be grouped in 5-minute intervals. Then we will perform the aggregation using the Non-null variance (biased) operation.
The arguments needed for the Non-null variance (biased) operation are:
Biased variance of → responseLength column
Click Aggregate function and you will see the following result:
How does it work in LINQ?
Group your data using the following structure:
group every server period by column1, column2...
every client period
Then, use select
... as
... to add the new column that will show the aggregated values. This is the syntax for the Non-null variance (biased) operation:
nnvar(numeric_column)
See Build a query using LINQ to learn more about grouping and aggregating your data using the LINQ language.
Example
You can copy the following LINQ script and try the example above on the siem.logtrust.web.activity
 table:
from siem.logtrust.web.activity
group every 5m
every 5m
select nnvar(responseLength) as responseLength_nnva