Date: Fri, 24 Sep 2021 16:18:16 +0000 (GMT) Message-ID: <1622066501.8673.1632500296427@9c5033e110b2> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_8672_673499728.1632500296427" ------=_Part_8672_673499728.1632500296427 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html KTHLARGESTUNIQUE Function

# KTHLARGESTUNIQUE Function

Extracts the ranked unique value from the values in a colum= n, where=20 `k=3D1` returns the maximum value. The value for=20 `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 contai= ns four rows with column values `10` , 9 , `9` , and `8`, then= `KTHLARGEST` returns `9` for `k=3D2` and `8` for ```k=3D3= ```.

When used in a `pivot` transform, the fu= nction 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 n= ot factored into the calculation.

## Basi= c Usage

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kthlargestunique(myRating, 3)

Output: Returns&n= bsp;the third highest unique value from the `myRating` column.

## Syntax and Arguments

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kthlargestunique(function_col_ref, k_integ= er) [ group:group_col_ref] [limit:limit_count]

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Argument Required? Data Type Description
function_col_ref= Y string Name of column to which to apply the funct= ion
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` pa= rameters, see Pivot Transform= .

For more information on syntax standards, see Language Documentation Syntax Note= s.

### function_= col_ref

Name of the column the values of which you want to calculate the mean. C= olumn must contain Integer or Decimal values.

• Literal values are not supported as inputs.
• Multiple columns and wildcards are not supported.

Usage Notes:

=20 =20 =20 =20
Required? Data Type Example Value
Yes String (column reference) `myValues`

### k_integer<= /span>

Integer representing the ranking of the unique value to extract fr= om the source column. Duplicate values are treated as a single value for pu= rposes of this function's calculation.

NOTE: The value for `k` must be an integer b= etween 1 and 1,000 inclusive.

• `k=3D1` represents the maximum value in the column. <= /span>
• If k is greater than or equal to the number of values in the colu= mn, the minimum value is returned.
• Missing and null values are not factored into the ranking of k.

Usage Notes:

=20

=20 =20 =20 =20
Required? Data Type Example Value
Yes Integer (positive) `4`

## Exa= mples

This example explores how you can use aggregation functions to ca= lculate rank of values in a column using the `KTHLARGEST` and KTHLARGESTUNIQUE functions.

Source:

You have a set of student test scores:

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Student Score
Anna 84
Ben 71
Caleb 76
Danielle 87
Evan 85
Faith 92
Gabe 87
Hannah 99
Ian 73
Jane 68

Transformation:

You can use the following transformations to extract the 1st through 4th= -ranked scores on the test:

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Transformation Name <= code>New formula `Single row formula` `KTHLARGEST(Score, 1)` `'1st'`
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Transformation Name <= code>New formula `Single row formula` `KTHLARGEST(Score, 2)` `'2nd'`
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Transformation Name <= code>New formula `Single row formula` `KTHLARGEST(Score, 3)` `'3rd'`
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=20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20
Transformation Name <= code>New formula `Single row formula` `KTHLARGEST(Score, 4)` `'4th'`
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Transformation Name <= code>New formula `Single row formula` `KTHLARGESTUNIQUE(Score, 3)` `'3rdUnique'`
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=20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20
Transformation Name <= code>New formula `Single row formula` `KTHLARGESTUNIQUE(Score, 4)` `'4thUnique'`
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Results:

When you reorganize the columns, the dataset might look like the followi= ng:

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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

Notes:

• The value `87` is both the third and fo= urth scores.
• For the `KTHLARGEST` function, it is the output for th= e third and fourth ranking.
• For the `KTHLARGESTUNIQUE` function, it is the output = for the third ranking only.
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