How to calculate rank of Emp, rank of emp by manger,rank of emp by geo using dax measure

[Kishorb]

I have Sales table data  with Geo,Manager,Employee and Salesamount column and based on this columns i want to calculate measure which display Rank of all emp ,Rank of Emp by Mgr, Rank of Emp by Geo and display data in table only for top 25 employee by Sales amount. 

I have below measure for this  scenrio but it is working only in metrix not in table

EmployeeRank =

var SalesAmount  = calculate( SalesData[SalesAmount],SalesData[Type] = "Won")

var top25SalesAmount =

if ( not ISBLANK([SalesAmount  ]) ,CALCULATE([SalesAmount  ],TOPN(25,all('SalesData'[Employee_Name]),[SalesAmount  ]),values('SalesData'[Employee_Name])))

var emprank = RANKX(ALLSELECTED('SalesData'[Employee_Name]),[top25SalesAmount ],,DESC,Dense)

var mgrrank = RANKX(ALLSELECTED('SalesData'[Mgr_Name_L2]),[top25SalesAmount ],,DESC,Dense)

var georank = RANKX(ALLSELECTED('SalesData'[Geo]),[top25SalesAmount ],,DESC,Dense)

return

SWITCH( TRUE(),

ISINSCOPE('Sales Data'[Employee_Name]),emprank,ISINSCOPE('SalesData'[Mgr_Name_L2]),mgrrank,ISINSCOPE('SalesData'[Geo]),georank)

How to Calculate this by using three different measure like Rank of Emp , Rank of Emp by Mgr , Rank of Emp by Geo 

[Kishorb]

Thanks for update but rather than power query can we handle by using separate measure 

[dufoq3]

It is better to create calculate columns in Power Query if possible but as you wish:

Result:

Don't forget to change table name form Query1 to your table name.

Emp

Rank of Emp = RANKX(Query1, [SalesAmount])

Emp by Manger

Rank of Emp by Mgr = 
VAR _mng = Query1[Manager]

VAR _result = 
    RANKX(
        FILTER(Query1, [Manager] = _mng),
        [SalesAmount]
    )

RETURN _result

Emp by Geo

Rank of Emp by Geo = 
VAR _geo = Query1[Geo]

VAR _result = 
    RANKX(
        FILTER(Query1, [Geo] = _geo),
        [SalesAmount]
    )

RETURN _result

[dufoq3]

Hi @Kishorb,

Power Query solution:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Vc9NC4MwDAbg/9Kzh7pPPTo9DTeGU/zCQ2kHlokFrbD9+yU5lPXyJjwJoe17lrCANQ1EMr0+UELO2RD8eb5JsUKNY9/vQr+RI8dtC/EQs9IWB2caXKCta4jntmjkk88F7H/Rj+QptF2H69JYOnPwPR0XvVq6tPcnVzPOyDvHRQFxEwu9MyTOoC1LDKMUMndcVfT8bYISxY7zHD+rpUGGzw4/", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Geo = _t, Manager = _t, Employee = _t, SalesAmount = _t]),
    ChangedType = Table.TransformColumnTypes(Source,{{"SalesAmount", type number}}),
    SortedRows = Table.Sort(ChangedType,{{"SalesAmount", Order.Descending}}),
    Ad_RankOfEmp = Table.AddIndexColumn(SortedRows, "Rank of Emp", 1, 1, Int64.Type),
    GroupedRows1 = Table.Group(Ad_RankOfEmp, {"Manager"}, {{"RankEmpMgr", each Table.AddIndexColumn(_, "Rank of Emp by Mgr", 1, 1 , Int64.Type), type table}}),
    CombinedTables1 = Table.Combine(GroupedRows1[RankEmpMgr]),
    GroupedrRows2 = Table.Group(CombinedTables1, {"Geo"}, {{"RankEmpGeo", each Table.AddIndexColumn(_, "Rank of Emp by Geo", 1, 1 , Int64.Type), type table}}),
    CombinedTables2 = Table.Combine(GroupedrRows2[RankEmpGeo])
in
    CombinedTables2

[lbendlin]

Enjoy the ride: https://www.sqlbi.com/articles/use-of-rankx-in-power-bi-measures/