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Hemanth96's avatar
Hemanth96
Frequent Visitor
3 years ago
Solved

Return Text column based on other column condition

Hi, I'm a noobie to DAX and need help. I have a table with product names and store wise sales.   I want to see a visual matrix table where the prodnames should be displayed if either store 1 or sto...
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  • Anonymous's avatar
    Anonymous
    3 years ago

    Hi Hemanth96 ，

     

    Here I suggest you to create measures by dax and add measures into visual level filter to filter your visual.

    Measure is based on your table.

    Table1:

    Measure 1 = 
IF(ISBLANK(SUM('Table'[store1]))&& ISBLANK(SUM('Table'[store2])),0,1)

    Table2:

    Measure 2 = 
VAR _STORE1 = CALCULATE(SUM('Table (2)'[Value]),FILTER('Table (2)','Table (2)'[Attribute] = "store 1"))
VAR _STORE2 = CALCULATE(SUM('Table (2)'[Value]),FILTER('Table (2)','Table (2)'[Attribute] = "store 2"))
RETURN
IF(ISBLANK(_STORE1)&&ISBLANK(_STORE2),0,1)

    Create visual by columns , add measure into visual level filter and set it to show items when value =1.

    Result is as below.

     

    Best Regards,
    Rico Zhou

     

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

lbendlin's avatar
lbendlin
Super User
3 years ago

You didn't specify if you need this in Power Query or Power BI.  Here is a Power Query option.

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("TY2xDcAgDARXiVxTYBOMMwuiywBR9i/CB1ui+Jf8p5N7p+e9mRJxzrMNdcyI0kg/FF8UqAGxBCvzrKGsODm3URXWFaj6bHgLWUogPTZNDK4Fa9iYzSnzejc+", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [prodname = _t, store1 = _t, store2 = _t, #"store 3" = _t, #"store 4" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"prodname", type text}, {"store1", Int64.Type}, {"store2", Int64.Type}, {"store 3", Int64.Type}, {"store 4", Int64.Type}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each [store1] ?? 0 +[store2] ?? 0 ),
    #"Changed Type1" = Table.TransformColumnTypes(#"Added Custom",{{"Custom", Int64.Type}}),
    #"Filtered Rows" = Table.SelectRows(#"Changed Type1", each ([Custom] <> 0))
in
    #"Filtered Rows"

 

 

How to use this code: Create a new Blank Query. Click on "Advanced Editor". Replace the code in the window with the code provided here. Click "Done".

 

Note:  Data like this should be unpivoted before being loaded into Power BI.