Amazon QuickSight – stdev

The stdev() function in Amazon QuickSight is a statistical function that calculates the standard deviation of a measure. Standard deviation is a measure of the amount of variation or dispersion of a set of values from the mean.

Syntax

#Start#
stdev(measure, [group-by level])
#End#

This function takes the following arguments:

• measure: This parameter specifies the measure for which you want to calculate the standard deviation. The measure can be a field or an expression.

• [group-by level]: This parameter is optional and specifies the grouping level for which to calculate the standard deviation. If this parameter is not specified, the standard deviation is calculated for the entire dataset. If specified, the standard deviation is calculated for each group specified.

Suppose you have a sales dataset with the following fields: Date, Product, Sales, and Region. You can use the stdev() function to calculate the standard deviation of sales for the entire dataset. Here’s an example formula:

Example

#Start#
stdev(Sales)
#End#

This formula calculates the standard deviation of the Sales field for the entire dataset. This function can help you identify the level of variability of sales in the dataset.

You can also use the group-by parameter to calculate the standard deviation by region. Here’s an example formula:

Example

#Start#
stdev(Sales, Region)
#End#

This formula calculates the standard deviation of the Sales field for each region in the dataset. This function can help you identify which regions have higher or lower variability in sales compared to others. Note that if you want to calculate the sample standard deviation, you should use the stdevp() function instead.