Forum Discussion
Compare values from two dynamically selected columns
Hello! I am stuck with the following task:
I have a much bigger version of this sample table:
| Attribute | Product 1 | Product 2 | Product 3 | Product 4 |
| Length | 13 | 12 | 45 | 32 |
| Width | 23 | 32 | 11 | 2 |
| Height | 15 | 5 | 12 | 11 |
| UoM Dimension | mm | mm | mm | mm |
| Net Weight | 25 | 24 | 25 | 21 |
| Gross Weight | 41 | 25 | 41 | 50 |
| UoM Weight | g | g | g | g |
The task is to compare determine difference between the values for two dynamically selected products.
Steps I have taken:
1. I have duplicated my table
2. Created a relationship 1 to 1 between the two tables using the Attribute column
3. I have created 2 parameters
- Anonymous1 year ago
Hi, alinamarinbadea
Thanks for amitchandak's reply. You can try the way from the link, or try to change the data model and then use the following dax.let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8knNSy/JUNJRMjQGEUZAwsQUSBgbKcXqRCuFZ6aAZY2MIWJAJYYgLljSIzUzPaMEJAbSYQrTD1QBkg3N91VwycxNzSvOzM8DCufmohMgVX6pJQrhMHOMQGYYmcBZEIPci/KLixGKTAxh8mCWqQHcNriSdBQcGwsA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Attribute = _t, #"Product 1" = _t, #"Product 2" = _t, #"Product 3" = _t, #"Product 4" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Attribute", type text}, {"Product 1", type text}, {"Product 2", type text}, {"Product 3", type text}, {"Product 4", type text}}), #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Attribute"}, "Attribute.1", "Value"), #"Renamed Columns" = Table.RenameColumns(#"Unpivoted Columns",{{"Attribute.1", "Product"}}), #"Filtered Rows" = Table.SelectRows(#"Renamed Columns", each ([Value] <> "g" and [Value] <> "mm")), #"Changed Type1" = Table.TransformColumnTypes(#"Filtered Rows",{{"Value", Int64.Type}}) in #"Changed Type1"First Product = VAR _min = CALCULATE ( SELECTEDVALUE ( 'Product'[Value] ), FILTER ( 'Product', 'Product'[Product] = MIN ( 'Product'[Product] ) ) ) RETURN _min Second Product = VAR _max = CALCULATE ( SELECTEDVALUE ( 'Product'[Value] ), FILTER ( 'Product', 'Product'[Product] = MAX ( 'Product'[Product] ) ) ) RETURN _max diff % = VAR _firstProduct = CALCULATE ( SELECTEDVALUE ( 'Product'[Value] ), FILTER ( 'Product', 'Product'[Product] = MIN ( 'Product'[Product] ) ) ) VAR _secondProduct = CALCULATE ( SELECTEDVALUE ( 'Product'[Value] ), FILTER ( 'Product', 'Product'[Product] = MAX ( 'Product'[Product] ) ) ) RETURN DIVIDE ( _secondProduct, _firstProduct )Best Regards,
Yang
Community Support TeamIf there is any post helps, then please consider Accept it as the solution to help the other members find it more quickly.
If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!How to get your questions answered quickly -- How to provide sample data in the Power BI Forum
2 Replies
- amitchandakSuper User
alinamarinbadea , refer to this example. You need one of the table as an independent table
Compare Categorical Data Using Slicers - Compare two Brands: https://youtu.be/exN4nTewgbc
- AnonymousNot applicable
Hi, alinamarinbadea
Thanks for amitchandak's reply. You can try the way from the link, or try to change the data model and then use the following dax.let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8knNSy/JUNJRMjQGEUZAwsQUSBgbKcXqRCuFZ6aAZY2MIWJAJYYgLljSIzUzPaMEJAbSYQrTD1QBkg3N91VwycxNzSvOzM8DCufmohMgVX6pJQrhMHOMQGYYmcBZEIPci/KLixGKTAxh8mCWqQHcNriSdBQcGwsA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Attribute = _t, #"Product 1" = _t, #"Product 2" = _t, #"Product 3" = _t, #"Product 4" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Attribute", type text}, {"Product 1", type text}, {"Product 2", type text}, {"Product 3", type text}, {"Product 4", type text}}), #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Attribute"}, "Attribute.1", "Value"), #"Renamed Columns" = Table.RenameColumns(#"Unpivoted Columns",{{"Attribute.1", "Product"}}), #"Filtered Rows" = Table.SelectRows(#"Renamed Columns", each ([Value] <> "g" and [Value] <> "mm")), #"Changed Type1" = Table.TransformColumnTypes(#"Filtered Rows",{{"Value", Int64.Type}}) in #"Changed Type1"First Product = VAR _min = CALCULATE ( SELECTEDVALUE ( 'Product'[Value] ), FILTER ( 'Product', 'Product'[Product] = MIN ( 'Product'[Product] ) ) ) RETURN _min Second Product = VAR _max = CALCULATE ( SELECTEDVALUE ( 'Product'[Value] ), FILTER ( 'Product', 'Product'[Product] = MAX ( 'Product'[Product] ) ) ) RETURN _max diff % = VAR _firstProduct = CALCULATE ( SELECTEDVALUE ( 'Product'[Value] ), FILTER ( 'Product', 'Product'[Product] = MIN ( 'Product'[Product] ) ) ) VAR _secondProduct = CALCULATE ( SELECTEDVALUE ( 'Product'[Value] ), FILTER ( 'Product', 'Product'[Product] = MAX ( 'Product'[Product] ) ) ) RETURN DIVIDE ( _secondProduct, _firstProduct )Best Regards,
Yang
Community Support TeamIf there is any post helps, then please consider Accept it as the solution to help the other members find it more quickly.
If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!How to get your questions answered quickly -- How to provide sample data in the Power BI Forum