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Computes the mode (most frequent value) from all row values in a column, according to their grouping. Input column can be of Integer or Decimal type.

If a row contains a missing or null value, it is not factored into the calculation. If the entire column contains no values, the function returns a null value.
If there is a tie in which the most occurrences of a value is shared between values, then no value is returned from the function.
When used in a pivot transform, the function is computed for each instance of the value specified in the group parameter. See Pivot Transform.

For a version of this function computed over a rolling window of rows, see ROLLINGMODE Function.

pivot value:MODE(count_visits) group:postal_code limit:1

Output: Generates a two-column table containing the unique values from the postal_code column and the mode of the values in the count_visits column for the postal_code value. The limit parameter defines the maximum number of output columns.

pivot value:MODE(function_col_ref) [group:group_col_ref] [limit:limit_count]

Argument	Required?	Data Type	Description
function_col_ref	Y	string	Name of column to which to apply the function

For more information on the group and limit parameters, see Pivot Transform.

function_col_ref

Name of the column the values of which you want to calculate the function. Column must contain Integer or Decimal values.

Literal values are not supported as inputs.
Multiple columns and wildcards are not supported.

Required?	Data Type	Example Value
Yes	String (column reference)	`myValues`

function_col_ref

Example - Statistics on Test Scores