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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, Decimal, or Datetime 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 the lowest value of the evaluated set is returned.
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.

Datetime inputs to this function return Unixtime values.

These values can be wrapped in a DATEFORMAT function. See DATEFORMAT Function.
For a date-native version of this function, see MODEDATE Function.

mode(count_visits)

Output: Returns the mode of the values in the count_visits column.

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, Decimal, or Datetime values.

NOTE: If the input is in Datetime type, the output is in unixtime format. You can wrap these outputs in the DATEFORMAT function to generate the results in the appropriate Datetime format. See DATEFORMAT Function.

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