Amazon QuickSight – periodToDateVarP

The periodToDateVarP() function in Amazon QuickSight is a statistical function that calculates the population variance of a measure for a given time period. This function is similar to the periodToDateVar() function, but it uses a different formula to calculate the variance that assumes the entire population is being sampled.

Syntax

#Start#
periodToDateVarP(
    measure, 
    dateTime, 
    period, 
    endDate (optional)
)
#End#

This function takes the following arguments:

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

dateTime: This parameter specifies the date and time for which you want to calculate the population variance. The parameter should be in the timestamp format.

period: This parameter specifies the time period for which you want to calculate the population variance. The valid values for the period parameter are hour, day, week, month, quarter, and year.

endDate (optional): This parameter specifies the end date and time of the time period. If this parameter is not specified, the current date and time will be used as the end date.

Suppose you have a sales dataset with the following fields: Date, Product, Sales, and Region. You can use the periodToDateVarP() function to calculate the population variance of sales for the current week by region. Here’s an example formula:

Example

#Start#
periodToDateVarP(Sales, Date, 'week', now(), Region)
#End#

This formula calculates the population variance of the Sales field for the current week, grouped by Region. The now() function is used to specify the current date and time as the end date. This function can help you identify the level of variability of sales for the week in each region, assuming that the entire population is being sampled. Note that if you want to calculate the sample variance, you should use the periodToDateVar() function instead.