Return Text column based on other column condition

[Hemanth96]

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 store 2 has sales. If there's no sale in either of the store for that prodname, it shouldn't appear in the table. Please help me how to do this.

prodname	store1	store2	store 3	store 4
prd1	100	80		26
prd2		60	7	212
prd3	50
prd4			66	29
prd5		81	0	23
prd6			28	68
prd7	118		11

OUTPUT

prd#	store1	store2	store 3	store 4
prd1	100	80		26
prd2		60	7	212
prd3	50
prd5		81	0	23
prd7	118		11

[Anonymous · Accepted solution]

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]

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.