Supported Aggregation Functions
This applies to: Visual Data Discovery
Use aggregate functions in custom metrics. Custom metrics can also include the use of row-level functions, conditional CASE expressions, statistical functions, an expansive list of arithmetic functions, as well as FIRST and LAST values. In addition, they can be filtered (using date and time filter functions and SQL-like expressions).
Data can be aggregated using column, table, or window aggregation functions. Each is explained in the links below. Aggregation functionality is explained in the links below.