# Aggregations

The Web Dashboard control allows you to prepare underlying data using additional aggregation levels when creating calculated fields. This topic shows how to evaluate calculated fields on a visualization (summary) and intermediate levels.

## Summary Level Aggregations

To compute values of the calculated field on a visualization (or summary) level, you can use a set of predefined aggregate functions. In the Expression Editor, these functions are available within the Functions | Aggregate.

Avg(Value)

Returns the average of all the values in the expression.

`Avg([Profit])`

Count()

Returns the number of values.

`Count()`

CountNotNull(Value)

Returns a number of non-null objects in a collection.

`CountNotNull([Orders])`

CountDistinct(Value)

Returns the number of distinct values.

`CountDistinct([Orders])`

FirstValue()

Returns the first value from rows used to calculate an aggregate value.

`FirstValue([ProductName])`

Max(Value)

Returns the maximum value across all records.

`Max([Profit])`

Min(Value)

Returns the minimum value across all records.

`Min([Profit])`

Mode(Value)

Returns the mode of the values.

`Mode([Profit])`

Median(Value)

Returns the median of the values.

`Median([Profit])`

Sum(Value)

Returns the sum of all values.

`Sum([Profit])`

Var(Value)

Returns an estimate of the variance of a population, where the sample is a subset of the entire population.

`Var([Orders])`

Varp(Value)

Returns the variance of a population, where the population is the entire data to be summarized.

`Varp([Orders])`

StdDev(Value)

Returns an estimate of the standard deviation of a population, where the sample is a subset of the entire population.

`StdDev([Orders])`

StdDevp(Value)

Returns the standard deviation of a population, where the population is the entire data to be summarized.

`StdDevp([Orders])`

These functions can be used for all types of numeric fields. After creating such calculated fields, you can use them as measures contained in an OLAP cube.

Tip

Documentation: Summary Level Aggregations

## Intermediate Level Aggregations

The Web Dashboard can aggregate and summarize data on different levels.

• The Query Builder allows you to prepare an underlying data source before analyzing data. You can apply grouping, sorting, summarization and other data shaping operations during data selection.
• Dashboard items aggregate and summarize data at a visualization level using dimensions and measures, respectively. For more information, refer to Bind Dashboard Items to Data in the Web Dashboard’s UI.
• The `aggr` function introduces an intermediate detail level that is not related to the visualization level. This allows you to create custom aggregations at different levels and combine these aggregations with existing visualizations.