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. |
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.
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.
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. |
Required? | Data Type | Example Value |
---|---|---|
Yes | String (column reference) | myValues |