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Anonymous's avatar
Anonymous
Not applicable
6 years ago

Unique Values based on Different Filters

Hi All,

 

I am struggling to find the out the unique values based on the different filters. Here below is my sample data table and I want to find out the Associate name based on the highest spend by Division By Subcategory. For below table the expected one answer would be like below.

I want the same figures for from the data

Expected Result: I want all details

Associate NameSub CategoryDivision
C1GroupRoad
A1LabourUtilities
A1Waste Construction

 

Data Table

 

Sub CategoryDivisionAssociate NameTotal Spend
LabourUtilitiesA18
LabourUtilitiesB115
LabourUtilitiesC112
LabourUtilitiesD29
LabourUtilitiesA145
HardwareEngineeringC131
HardwareEngineeringD239
HardwareEngineeringA142
WasteEngineeringC12
WasteConstructionD213
WasteConstructionA128
WasteConstructionA415
WorkConstructionA543
WorkInfrastructureA18
WorkInfrastructureC148
WorkInfrastructureD221
GroupInfrastructureA137
GroupRoadA119
GroupRoadC145
GroupRoadD219

Note: I am using direct query as data from source system.

Please help me.

 

2 Replies

    • Anonymous's avatar
      Anonymous
      Not applicable

      Hi,

       

      I am not getting the correct or unique value when I am adding all those columns in Table visualisation. Please find the attached spreadsheet. When I am adding sub-categories it is not showing the higest spend division, instead of it is showing Division and several subcategories. But answer should be the assoicate name have the highest spend in which subcategory and its respective division name  i.e. Check given below example 

       

      Associate NameDivisionSubCategorySpend
      A1Assetlabour1.4m

       

      Please find the results I got after applying DAX function you shared.

       

      Associate NameDivisionSubCategoryTotal spend
      P1GroupHIR871250
      P1ServicesHIR816872
      P1UtilitiesHIR507428
      J1AssetGeneral368213
      J1UtilitiesGeneral180877
      R1InfrastructureSAFETY150041
      JJMiningREMOVAL112983
      TOAssetNIFORMS98109
       RENTALE & CGeneral89769
      DIServicesWHOL79230
      R1ServicesSAFETY66901
      JJUtilitiesREMOVAL61828
      DIMiningWHOL50426
      MAUtilitiesSAFETY36554
      TOE & CNIFORMS34771
      PORTERInfrastructureHIR14487
      JJInfrastructureREMOVAL9276
      JJServicesREMOVAL8675
      RSInfrastructureELECTRICAL7104
      RSRollingELECTRICAL6408
      TOInfrastructureNIFORMS4622
      MAE & CSAFETY3358
      DIGroupWHOL2682
      A1AssetLABOUR1045049
      STAFFMiningLABOUR714210
      GTEInfrastructureLABOUR609906
      POWERServicesLABOUR518041
      KIAssetHIR393785
      EFFECTIVEGroupLABOUR355823
      RPM HIREServicesGeneral346183
      ROAssetELECTRICAL287974
      PETERUtilitiesLABOUR240067
      KENInfrastructureGeneral232636
      PILBARAE & CHIR177883
      MIDUtilitiesELECTRICAL176948
      MYELECE & CELECTRICAL169325
      B1ServicesELECTRICAL133544
      JRAssetREMOVAL115107
      E AMiningELECTRICAL66420
      B2UtilitiesWHOL61633
      FLINDANEGroupGeneral35727
      RWWServicesNIFORMS30547
      BUAssetSAFETY30315
      THEMiningNIFORMS28214
      B4AssetWHOL25808
      C1RollingSAFETY25259
      SYSTEMSMiningSAFETY25020
      MULTIMiningGeneral20736
      BUSBMiningHIR18786
      HIP POCKETUtilitiesNIFORMS6425
      DRSGroupNIFORMS6179
      MITRE 10InfrastructureWHOL3600
      ELECTRICGroupELECTRICAL3547
      RECYCLINGE & CREMOVAL3160
      AURollingNIFORMS2964
      TMHGroupSAFETY1681

      '

      Thanks 

      Uphar