Date: Thu, 28 Jan 2021 01:07:23 +0000 (GMT) Message-ID: <1833125274.77404.1611796043824@df68ed866f50> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_77403_1952911392.1611796043824" ------=_Part_77403_1952911392.1611796043824 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html KTHLARGEST Function

# KTHLARGEST Function

Extracts the ranked value from the values in a column, wher= e=20 `k=3D1` returns the maximum value. The value for=20 `k` must be between 1 and 1000, inclusive.=20 Inputs can be Integer, Decimal, or Datetime.

For purposes of this calculation, two instances of the same value = are treated as separate values. So, if your dataset contains three rows wit= h column values `10` , `9` , and `9` , then `KTHLARGEST`= returns `9` for `k=3D2 and 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, Decimal, or Datetime type. Other values = column are ignored. If a row contains a missing or null value, i= t is not factored into the calculation. Wrangle vs. SQL: This function is part of Wrangle , a proprietary data transformation language.= Wrangle is not SQL. For more information, se= e Wrangle Language. Basic Usag= e =20 kthlargest(myRating, 2) Output: Returns&n= bsp;the second highest value from the S= yntax and Arguments =20 kthlargest(function_col_ref, k_integer) [ = group:group_col_ref] [limit:limit_count]  =20 =20 =20 =20 =20 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 value to extrac= t from the source column For more information on the group and limit pa= rameters, see Pivot Transform.<= /p> For more information on syntax standards, see Language Documentation Syntax Notes<= /a>. function_col_ref Name of the column the values of which you want to calculate the mean.&n= bsp;Inputs must be Integer, Decimal, or Datetime values. NOTE: If the input is in Datetime type, the output is i= n 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. Usage Notes: =20 =20 =20 =20 Required? Data Type Example Value Yes String (column reference) myValues k_integer= Integer representing the ranking of the value to extract from the = source column. 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 Examples<= /span> Tip: For additional examples, see Common Tasks. ```

``` 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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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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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:

=20 =20 =20 =20 =20 =20 =20 =20 =20
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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