Cumulative formulas are aggregate formulas.

Cumulative formulas that allow you to calculate the average, max, min, or sum or your data over time. Although we usually talk about cumulative formulas over time, you can use them over any other sequential data. Each of the cumulative formulas accepts a measure and one or more optional grouping by an attribute (like region or department):

formula (measure, [attribute, attribute, ...])

Only the measure value is required. If you supply both a measure and attributes, the formula returns the aggregate of the measure accumulated by the attribute(s) in the order specified. You should experiment with only a measure and then with an attribute to see which output best meets your use case.

The cumulative formulas are:

Function Description
cumulative_average Takes a measure and one or more attributes. Returns the average of the measure, accumulated by the attribute(s) in the order specified. For example: cumulative_average (revenue, order date, state)
cumulative_max Takes a measure and one or more attributes. Returns the maximum of the measure, accumulated by the attribute(s) in the order specified. For example: cumulative_max (revenue, state)
cumulative_min Takes a measure and one or more attributes. Returns the minimum of the measure, accumulated by the attribute(s) in the order specified. or example: cumulative_min (revenue, campaign)
cumulative_sum Takes a measure and one or more attributes. Returns the sum of the measure, accumulated by the attribute(s) in the order specified. For example: cumulative_sum (revenue, order date)