Rolling

This function returns the computed value of a data series within a time window or a given number of values, using one of the following aggregation methods: "mean", "sum", "min", "max", or "count".

The rolling function has the following syntax:

rolling(<variable>, <aggregation_method> , <type_of_range>, <range> , min periods = 2)

Parameter	Description	Value	Mandatory
Variable	It shows the measurements of a sensor as a time series of data points that vary over time. Also known as "dots", it's identified by a variable label.	Variable label	YES
Aggregation method	Function where the elements of a time series are computed to return a single summary value.	$mean$, $sum$, $min$, $max$, $count$	YES
Type of range	Indicates whether a date range or a set number of elements are used to sample the time series.	$window$ or $values$	YES
Range	The time window in wich the function will be computed. NOTE: The selected range for a "window" should be set in a way that evenly divides the next range. For example, if using minutes ("T"), whatever the number n is, it has to evenly divide an hour ("H"). Available values for minutes are: 1, 2, 3, 4, 5, 6, 10, 12, 15, 20, 30. Other values may render unexpected results. Same applies to other ranges.	Available data ranges: this is a positive integer, representing the number of observations used for each window or a time range specified as follows: $"nT"$: Every n minutes $"nH"$ : Every n hours $"nD"$: Every n days	YES
Min periods	Number of values ​​needed to calculate the mobile aggregation, by default it is set in 2 which is the minimum required.	min_periods = n, where n is a positive integer.	NO