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hi guys
I am somehow struggling with a little problem
I try to do a lookupvalue on different columns --> as depending on the line a different column will be field (2 Column can't be field on the same line)
Ex:
Line 1 : Starting Date is on column 4
Line 2 : Starting Date is on column 8
Line 3 : Starting Date is on column 13
Line 4 : Starting Date is on column 8
etc etc
I succeed to do on the 1st column but I can' succeed to look on the 9th columns I dlike to chase
here is my formula
StartingDate = LOOKUPVALUE(IT_Portfolio_Milestones[OData_1_Current Start_x002];IT_Portfolio_Milestones[OData_1_Name];MilestonesName[Valeur];IT_Portfolio_Milestones[Title];MilestonesName[Title];)
I want to do the same on
IT_Portfolio_Milestones[OData_2_Current Start_x002];IT_Portfolio_Milestones[OData_2_Name]
IT_Portfolio_Milestones[OData_3_Current Start_x002];IT_Portfolio_Milestones[OData_3_Name]
...ECT untill 9 🙂
Any Idea on how to proceed ?
many thx
BR
F.
Solved! Go to Solution.
There are two options to approach this
- as I mentioned above, use row unpivoting trick in DAX
- run the transform in Power Query to get the data into a more palatable format
Not sure which one you prefer. Please let me know.
By the way you have a typo in one of the column headers: 2_Name2 should be 2_Name
Here is the Power Query version
let
Source = Table,
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"Title"}, "Attribute", "Value"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Other Columns", "Attribute", Splitter.SplitTextByDelimiter("_", QuoteStyle.Csv), {"Attribute.1", "Attribute.2"}),
#"Renamed Columns" = Table.RenameColumns(#"Split Column by Delimiter",{{"Attribute.1", "Level"}, {"Attribute.2", "Attribute"}}),
#"Pivoted Column" = Table.Pivot(#"Renamed Columns", List.Distinct(#"Renamed Columns"[Attribute]), "Attribute", "Value"),
#"Filtered Rows" = Table.SelectRows(#"Pivoted Column", each [Name] <> null and [Name] <> "")
in
#"Filtered Rows"
which results in
There are two options to approach this
- as I mentioned above, use row unpivoting trick in DAX
- run the transform in Power Query to get the data into a more palatable format
Not sure which one you prefer. Please let me know.
By the way you have a typo in one of the column headers: 2_Name2 should be 2_Name
Here is the Power Query version
let
Source = Table,
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"Title"}, "Attribute", "Value"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Other Columns", "Attribute", Splitter.SplitTextByDelimiter("_", QuoteStyle.Csv), {"Attribute.1", "Attribute.2"}),
#"Renamed Columns" = Table.RenameColumns(#"Split Column by Delimiter",{{"Attribute.1", "Level"}, {"Attribute.2", "Attribute"}}),
#"Pivoted Column" = Table.Pivot(#"Renamed Columns", List.Distinct(#"Renamed Columns"[Attribute]), "Attribute", "Value"),
#"Filtered Rows" = Table.SelectRows(#"Pivoted Column", each [Name] <> null and [Name] <> "")
in
#"Filtered Rows"
which results in
Works Perfectly ! A big thanks !
I have been using the script as I never succeed to unpivot properly 😕
For very beginners : Code to be entered in "home" "advanced editor"
Hello
please find an exemple following this link
BR
Frederic
https://drive.google.com/drive/folders/1LPEXdEazP3qwA9dm3Vo8OF1Zx_QqSZE2
There is a very neat trick that you need to know. You can transform the columns of a row into a single column table variable. Once you have done that you can use table row math to fetch the nth row's content.
Please provide sample data in usable format (not as a picture) and show the expected outcome.
Hello
thank you for taking the time with your 1st answer, not sure you had opportunity to read my previous post :
please find an exemple following this link
BR
Frederic
https://drive.google.com/drive/folders/1LPEXdEazP3qwA9dm3Vo8OF1Zx_QqSZE2
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