Aggregate Functions calculate values based on two factors: the input cell, which is usually but not always a data field, and the report section that the function is located, relative to the input. The location of the function determines which, and how many cell values will be sent to the input. For example, an AggCount() function in a Group Footer will count the values in the group, but that same function in a Report Footer will count the values for the entire report.
Beginning with v2019.2, Aggregate Functions can also be used in Group Headers.
NoteAggregate Functions cannot be used in conditional formulas or ExpressView formula columns.
NoteAggregate Functions are not capable of summarizing data within static sections of a report, such as the Page and Report Headers and Footers. For more information, please see the article on static sections.
Aggregating OnetoMany Relationships
As of v2016.3.8, Aggregate Functions have an optional argument that indicates how to count aggregates for onetomany relationships named recordLevel
. This argument indicates whether aggregation should occur at the record level or entity level. Pass True() to force aggregation to occur for every record, regardless of whether or not the record represents a unique instance of the entity that is being aggregated. This is called record level aggregation.
By default aggregation occurs only for every unique instance of the entity being aggregated, not for repeat values that occur from a onetomany data relationship.
In application v2019.2+ by default aggregation occurs for all values in a onetomany data relationship. To aggregate only for each unique instance, False() must be passed to force aggregation on the entity level. This default behavior can be changed by a system administrator.
In application versions prev2019.2 by default aggregation occurs only for every unique instance of the entity being aggregated, not for repeat values that occur from a onetomany data relationship. This default behavior can be changed by a system administrator.
For example, in the two reports below, the Category Name column is being aggregated with the AggCount()
function. The top figure aggregates on the entity level (recordLevel
argument is False), and the bottom figure aggregates on the record level (recordLevel
argument is True). Since the Category Name does not change, when aggregating by entity level, the count is 1. When aggregating on the record level, all records are considered for the aggregation and the count is 11.
Most users can choose to ignore this option by simply omitting the argument.
In application v2019.2, an administrator can add their own aggregate functions to the application, called a Custom Aggregate Function. Consult with your administrator for more details about what functions are available when building reports.
AggAvg
Description  Returns the average of the values in a group. 

Remark  Accepts data fields or cell references.
Optional second argument (v2016.3.8+) indicates whether to count:

Example  AggAvg({OrderDetail.Quantity}) returns the average quantity of sales orders. 
AggCount
Description  Returns the number of unique entities in a Data Category. 

Remark 
The AggCount() function uses the Data Category, not the Data Field. For example, the function Optional second argument (v2016.3.8+) indicates whether to count:

Example  AggCount({Orders.ProductPrice}) returns the number of sales orders. 
AggDistinctCount
Description  Returns the number of unique values in a group. 

Remark 
Accepts data fields or cell references. Optional second argument (v2016.3.8+) indicates whether to count:
Optional third argument (v2018.1.8+) indicates whether to count

Example  AggDistinctCount({OrderDetail.Quantity}) returns the number distinct quantities in an order. 
AggMax
Description  Returns the maximum value in a group. 

Remark  Accepts data fields or cell references.
Optional second argument (v2016.3.8+) indicates whether to count:

Example  AggMax({OrderDetail.Discount}) returns the largest discount. 
AggMin
Description  Returns the minimum value in a group. 

Remark  Accepts data fields or cell references.
Optional second argument (v2016.3.8+) indicates whether to count:

Example  AggMin({OrderDetail.Discount}) returns the smallest discount. 
AggSum
Description  Returns the sum of the values in a group. 

Remark  Accepts data fields or cell references.
Optional second argument (v2016.3.8+) indicates whether to count:

Example  AggSum({OrderDetail.Quantity}) returns the total quantity of units ordered. 
RunningSum
Description  Returns a running total of the input cell. 

Remark 
The cell you want to sum. Optional second argument of a Data Field or Category. The running sum will reset to 0 whenever there is a new value for this Data Field or Category. Optional third argument (v2016.3.8+) indicates whether to count:

Examples 

AggMedian v2017.2+
Description  Returns the median, or the middle value, of a data set. 

Remark  Accepts data fields or cell references.
Optional second argument (v2016.3.8+) indicates whether to count:

Example  AggMedian({OrderDetail.Quantity}) returns the median order quantity. 
AggMode v2017.2+
Description  Returns the mode, or the value that appears most often, of a data set. 

Remark  Accepts data fields or cell references. Optional second argument indicates whether to count:

Example  AggMode({OrderDetail.Quantity}) returns the mode of order quantity. 
AggStandardDeviation v2017.2+
Description  Returns the standard deviation (SD) of a data set. SD is used to quantify the spread of the values in a data set. A lower SD indicates that values are close to the mean, and a higher SD indicates that values are more spread. 

Remark 
Accepts data fields or cell references. Takes one, two, or three arguments: The cell to get the standard deviation Optional second argument indicates whether to calculate:
Optional third argument indicates whether to count:

Example  AggStandardDeviation({OrderDetail.Quantity}) returns the standard deviation of order quantities. 
AggVariance v2017.2+
Description  Returns the variance of a data set. Variance is used to quantify the spread of the values in a data set, and is equal to the square of the standard deviation. Variance weighs outliers more heavily than standard deviation. 

Remark 
Accepts data fields or cell references. Takes one, two, or three inputs: The cell to get the variance Optional second argument indicates whether to calculate:
Optional third argument indicates whether to count:

Example  AggVariance({OrderDetail.Quantity}) returns the variance of order quantities 