Forum Discussion

Humpjs's avatar
Humpjs
Advocate I
9 years ago
Solved

Dynamic List Selection in Power BI

I'm new to Power BI as our company is about to roll it out and I'm one of the first to have to learn it.   Been perusing this site daily and have learned so much already.     However, I've reached an...
Need Help
  • OwenAuger's avatar
    OwenAuger
    9 years ago

    Humpjs

     

    Here is another method you can use, similar logic to Vvelarde but with physical relationships.

    It's based on Anonymous's post here: Tiny Lizard - Dynamically changing chart axis

     

    Example pbix here.

     

    1. Set up tables like this:
      Sales

      Stores 

      Store Filter Type

      Sample DAX:

      Store Filter Type =
VAR FranchiseeTable =
    SELECTCOLUMNS (
        Stores,
        "Store Name", Stores[Store Name],
        "Type", "Franchisee Name",
        "Value", Stores[Franchisee Name]
    )
VAR DistrictTable =
    SELECTCOLUMNS (
        Stores,
        "Store Name", Stores[Store Name],
        "Type", "District Name",
        "Value", Stores[District Name]
    )
VAR StoreTable =
    SELECTCOLUMNS (
        Stores,
        "Store Name", Stores[Store Name],
        "Type", "Store Name",
        "Value", Stores[Store Name]
    )
RETURN
    UNION ( FranchiseeTable, DistrictTable, StoreTable )

       

       

    2. Create relationships as follows (bidirectional between Stores & Store Filter Type):

       

    3.  Then you can simply filter on 'Store Filter Type'[Type], with 'Store Filter Type'[Value] on the visual's axis, with a SUM ( Sales[Sales] ) measure. You still have the ability to filter on Stores if you want, or you could eliminate Franchisee/District columns from Stores.

    Regards,

    Owen

Reid_Havens's avatar
Reid_Havens
Most Valuable Professional
9 years ago

Hi there,

 

Happy to help. To my knowledge there isn't a way to do that with a slicer, since they require a single column to use as the filter selections. Probably not the answer you're wanting to hear or looking for sadly. I've yet to come across any clever workaround that can accomplish this, but if another expert user hops on here with one that would be a great feature to have.

 

Reid Havens - Principal Consultant

PowerPivotPro

Vvelarde's avatar
Vvelarde
Community Champion
9 years ago

Humpjs

 

Hi, I found a way to solve it 

 

Steps:

 

1. Create a New Table: 

 

Table =
UNION (
    ADDCOLUMNS ( VALUES ( Table1[Franchise Name] ), "Type", "Franchise" ),
    ADDCOLUMNS ( VALUES ( Table1[District Name] ), "Type", "District" ),
    ADDCOLUMNS ( VALUES ( Table1[Store Name] ), "Type", "Store" )
)

Change the Name of the Column to Options.

 

2. Create a Measure

 

SalesM =
SWITCH (
    VALUES ( 'Table'[Type] ),
    "District", CALCULATE (
        SUM ( Table1[Sales] ),
        INTERSECT ( VALUES ( Table1[District Name] ), VALUES ( 'Table'[Options] ) )
    ),
    "Franchise", CALCULATE (
        SUM ( Table1[Sales] ),
        INTERSECT ( VALUES ( Table1[Franchise Name] ), VALUES ( 'Table'[Options] ) )
    ),
    "Store", CALCULATE (
        SUM ( Table1[Sales] ),
        INTERSECT ( VALUES ( Table1[Store Name] ), VALUES ( 'Table'[Options] ) )
    )
)

3. Now insert your visuals and Ready (Only test it for your scenario)

 

  • Reid_Havens's avatar
    Reid_Havens
    Most Valuable Professional
    9 years ago

    Vvelarde that's actually a very great solution. I was noodling on a vew ways to do it with joins but didn't want to post anything overly complicated. However you presented a very good solution. Double kudos if I could.

    • OwenAuger's avatar
      OwenAuger
      Super User
      9 years ago

      Humpjs

       

      Here is another method you can use, similar logic to Vvelarde but with physical relationships.

      It's based on Anonymous's post here: Tiny Lizard - Dynamically changing chart axis

       

      Example pbix here.

       

      1. Set up tables like this:
        Sales

        Stores 

        Store Filter Type

        Sample DAX:

        Store Filter Type =
VAR FranchiseeTable =
    SELECTCOLUMNS (
        Stores,
        "Store Name", Stores[Store Name],
        "Type", "Franchisee Name",
        "Value", Stores[Franchisee Name]
    )
VAR DistrictTable =
    SELECTCOLUMNS (
        Stores,
        "Store Name", Stores[Store Name],
        "Type", "District Name",
        "Value", Stores[District Name]
    )
VAR StoreTable =
    SELECTCOLUMNS (
        Stores,
        "Store Name", Stores[Store Name],
        "Type", "Store Name",
        "Value", Stores[Store Name]
    )
RETURN
    UNION ( FranchiseeTable, DistrictTable, StoreTable )

         

         

      2. Create relationships as follows (bidirectional between Stores & Store Filter Type):

         

      3.  Then you can simply filter on 'Store Filter Type'[Type], with 'Store Filter Type'[Value] on the visual's axis, with a SUM ( Sales[Sales] ) measure. You still have the ability to filter on Stores if you want, or you could eliminate Franchisee/District columns from Stores.

      Regards,

      Owen

  • Humpjs's avatar
    Humpjs
    Advocate I
    9 years ago

    Many thanks to both Vvelarde and OwenAuger.   Went with Owen's solution because my real world application of this has much more than just Sales and it was easier to set up for me.    Once I'm a little more proficient, I can use Vvelarde's method.

     

    I've learned more from this forum in 2 weeks than I have from any "training".