Extracts the ranked unique Datetime value from the values in a column, where k=1 returns the maximum value. The value for k must be between 1 and 1000, inclusive. Inputs must be Datetime.

For purposes of this calculation, two instances of the same value are treated as the same value of k. if your dataset contains three rows with column values 2020-02-15,  2020-02-14, 2020-02-14, and 2020-02-14, then KTHLARGESTDATE returns 2020-02-14 for k=2 and 2020-02-13 for k=3.

When used in a pivot transform, the function is computed for each instance of the value specified in the group parameter. See Pivot Transform.

Input column must be Datetime type. Other values column are ignored. If a row contains a missing or null value, it is not factored into the calculation.

For a version of this function that applies to non-Datetime values, see KTHLARGESTUNIQUE Function.

kthlargestuniquedate(myDate, 3)

Output: Returns the third highest unique value from the myDate column.

kthlargestuniquedate(function_col_ref, k_integer) [ group:group_col_ref] [limit:limit_count]

ArgumentRequired?Data TypeDescription
function_col_refYstringName of column to which to apply the function
k_integerYinteger (positive)The ranking of the unique value to extract from the source column

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 mean. Inputs must be Datetime values.

Required?Data TypeExample Value
YesString (column reference)transactionDate


Integer representing the ranking of the unique value to extract from the source column. Duplicate values are treated as a single value for purposes of this function's calculation.

NOTE: The value for k must be an integer between 1 and 1,000 inclusive.

Required?Data TypeExample Value
YesInteger (positive)4

Example - KTHLARGESTDATE functions