Extracts the ranked unique value from the values in a column, where |
For purposes of this calculation, two instances of the same value are treated as the same value of k
. So, if your dataset contains four rows with column values 10
, 9
, 9
, and 8
, then KTHLARGEST
returns 9
for k=2
and 8
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 can be of Integer or Decimal type. Non-numeric data in the column is ignored. If a row contains a missing or null value, it is not factored into the calculation.
kthlargestunique(myRating, 3) |
Output: Returns the third highest unique value from the myRating
column.
kthlargestunique(function_col_ref, k_integer) [ 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 |
k_integer | Y | integer (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. Column must contain Integer or Decimal values.
Required? | Data Type | Example Value |
---|---|---|
Yes | String (column reference) | myValues |
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=1
represents the maximum value in the column. k
.
Required? | Data Type | Example Value |
---|---|---|
Yes | Integer (positive) | 4 |