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Comment: Published by Scroll Versions from space DEV and version r0811

D toc


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.

D s lang vs sql

D s

D lang syntax
WrangleTextpivot value:mode(count_visits) group:postal_code limit:1


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

D s

D lang syntax
WrangleTextpivot value:mode(function_col_ref) [group:group_col_ref] [limit:limit_count]

mode(function_col_ref) [group:group_col_ref] [limit:limit_count]

ArgumentRequired?Data TypeDescription
function_col_refYstringName of column to which to apply the function

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

D s lang notes


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.

D s

Required?Data TypeExample Value
YesString (column reference)myValues

D s

Example - Statistics on Test Scores

Include Page
EXAMPLE - Statistical Functions
EXAMPLE - Statistical Functions

D s also