Extracts the ranked unique 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.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.
- For a non-unique version of this function, see KTHLARGEST Function.
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.
Basic Usage
pivot value:KTHLARGESTUNIQUE(myRating, 3) group:postal_code limit:1
Output: Generates a two-column table containing the unique values in the postal_code column and the third highest unique value from the myRating column for that postal_code value. The limit parameter defines the maximum number of output columns.
Syntax and Arguments
pivot value: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.
For more information on syntax standards, see Language Documentation Syntax Notes.
function_col_ref
Name of the column the values of which you want to calculate the mean. Column must contain Integer or Decimal values.
- Literal values are not supported as inputs.
- Multiple columns and wildcards are not supported.
Usage Notes:
| Required? | Data Type | Example Value |
|---|---|---|
| Yes | String (column reference) | myValues |
k_integer
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.
-
k=1represents the maximum value in the column. - If k is greater than or equal to the number of values in the column, the minimum value is returned.
- Missing and null values are not factored into the ranking of
k.
Usage Notes:
| Required? | Data Type | Example Value |
|---|---|---|
| Yes | Integer (positive) | 4 |
Tip: For additional examples, see Common Tasks.
Examples
Source: You have a set of student test scores: Transform: You can use the following transforms to extract the 1st through 4th-ranked scores on the test: Results: When you reorganize the columns, the dataset might look like the following: Notes:KTHLARGEST and KTHLARGESTUNIQUE functions.Student Score Anna 84 Ben 71 Caleb 76 Danielle 87 Evan 85 Faith 92 Gabe 87 Hannah 99 Ian 73 Jane 68 derive type:single value:KTHLARGEST(Score, 1) as: '1st'derive type:single value:KTHLARGEST(Score, 2) as: '2nd'derive type:single value:KTHLARGEST(Score, 3) as: '3rd'derive type:single value:KTHLARGEST(Score, 4) as: '4th'derive type:single value:KTHLARGESTUNIQUE(Score, 3) as: '3rdUnique'derive type:single value:KTHLARGESTUNIQUE(Score, 4) as: '4thUnique'Student Score 1st 2nd 3rd 4th 3rdUnique 4thUnique Anna 84 99 92 87 87 87 85 Ben 71 99 92 87 87 87 85 Caleb 76 99 92 87 87 87 85 Danielle 87 99 92 87 87 87 85 Evan 85 99 92 87 87 87 85 Faith 92 99 92 87 87 87 85 Gabe 87 99 92 87 87 87 85 Hannah 99 99 92 87 87 87 85 Ian 73 99 92 87 87 87 85 Jane 68 99 92 87 87 87 85 87 is both the third and fourth scores.KTHLARGEST function, it is the output for the third and fourth ranking.KTHLARGESTUNIQUE function, it is the output for the third ranking only.
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