RANK.EQ DAX Function (Statistical)
Returns the rank of a number in a column of numbers. If more than one value has the same rank, the top rank of that set of values is returned.
Syntax
| Parameter | Attributes | Description |
|---|---|---|
| Value |
The value to be ranked. |
|
| ColumnName |
A column in which the value will be ranked. |
|
| Order | Optional |
The order to be applied. 0/FALSE/DESC – descending; 1/TRUE/ASC – ascending. If omitted, the default is descending. |
Return values
A number indicating the rank of Value among the numbers in ColumnName.
Remarks
The following RANK.EQ calls:
RANK.EQ ( <value>, table[column] ) RANK.EQ ( <value>, table[column], <order> )
correspond to the following RANKX calls:
RANKX (
VALUES ( table[column] ),
table[column],
<value>
)
RANKX (
VALUES ( table[column] ),
table[column],
<value>,
<order>
)
The <value> placeholder is a DAX expression executed in the filter context where RANK.EQ is evaluated.
The <order> placeholder is the optional order argument, which is descending by default.
Examples
-- RANK.EQ find the ranking of a value in the column
-- passed as second argument. The column values are sorted
-- according to the third argument (default DESC).
DEFINE
TABLE SampleData1 = { 10, 20, 30, 40, 50, 60, 70, 80, 90, 100 }
TABLE SampleData2 = { 20, 40, 60, 80, 100, 10, 30, 50, 70, 90 }
EVALUATE
{
( "RANK.EQ ASC 1", RANK.EQ ( 70, SampleData1[Value], ASC ) ),
( "RANK.EQ ASC 2", RANK.EQ ( 70, SampleData2[Value], ASC ) ),
( "RANK.EQ DESC 1", RANK.EQ ( 70, SampleData1[Value], DESC ) ),
( "RANK.EQ DESC 2", RANK.EQ ( 70, SampleData2[Value], DESC ) ),
( "RANK.EQ 1", RANK.EQ ( 70, SampleData1[Value] ) ),
( "RANK.EQ 2", RANK.EQ ( 70, SampleData2[Value] ) )
}
| Value1 | Value2 |
|---|---|
| 2001-01-01 | 7 |
| 2001-02-01 | 7 |
| 2001-01-01 | 4 |
| 2001-02-01 | 4 |
| 2001-01-01 | 4 |
| 2001-02-01 | 4 |
-- RANKX can be used instead of RANK.EQ, iterating
-- the table containing the column to analyze
-- for the ranking
DEFINE
TABLE SampleData = { 20, 40, 60, 80, 100, 10, 30, 50, 70, 90 }
EVALUATE
{
( "RANK.EQ", RANK.EQ ( 70, SampleData[Value] ) ),
( "RANKX", RANKX ( SampleData, SampleData[Value], 70 ) ),
( "RANK.EQ ASC", RANK.EQ ( 70, SampleData[Value], ASC ) ),
( "RANKX ASC", RANKX ( SampleData, SampleData[Value], 70, ASC ) )
}
| Value1 | Value2 |
|---|---|
| RANK.EQ | 4 |
| RANKX | 4 |
| RANK.EQ ASC | 7 |
| RANKX ASC | 7 |
-- RANK.EQ keeps duplicated value in the sorted column
-- to evaluate the ranking. The ranking obtained skips
-- the rank number in case of ties (SKIP argument of RANKX).
DEFINE
TABLE SampleData = { "C", "B", "B", "A", "F", "D", "B" }
-- Sorted: A, B, B, B, C, D, F
EVALUATE
{
( "RANK.EQ ASC", RANK.EQ ( "A", SampleData[Value], ASC ) ),
( "RANK.EQ ASC", RANK.EQ ( "B", SampleData[Value], ASC ) ),
( "RANK.EQ ASC", RANK.EQ ( "C", SampleData[Value], ASC ) ),
( "RANKX ASC", RANKX ( SampleData, SampleData[Value], "C", ASC, SKIP ) ),
( "RANK.EQ", RANK.EQ ( "A", SampleData[Value] ) ),
( "RANK.EQ", RANK.EQ ( "B", SampleData[Value] ) ),
( "RANK.EQ", RANK.EQ ( "C", SampleData[Value] ) ),
( "RANKX", RANKX ( SampleData, SampleData[Value], "C" ) )
}
| Value1 | Value2 |
|---|---|
| RANK.EQ ASC | 1 |
| RANK.EQ ASC | 2 |
| RANK.EQ ASC | 5 |
| RANKX ASC | 5 |
| RANK.EQ | 7 |
| RANK.EQ | 4 |
| RANK.EQ | 3 |
| RANKX | 3 |
Related functions
Other related functions are:
Last update: Jan 13, 2022 » Contribute » Show contributors
Contributors: Alberto Ferrari, Marco Russo, Kenneth Barber
Microsoft documentation: https://docs.microsoft.com/en-us/dax/rank-eq-function-dax