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Hello everybody,
I need help with the following example.
I want the milestones start date --> (1.RH, 2. LH, 3.Best, 4.VA, 5.BÜ, 6.EA) and end date --> (1.RH, 2. LH, 3.Best, 4.VA, 5.BÜ, 6.EA) unpivotieren like example after.
example before
example after
Solved! Go to Solution.
Hi @Anonymous
yes, make sure your headers contain characters that make splitting like in the following example possible:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8nQxVNJRAmEjIDYGYhOlWB2QOIhvCsRmQGwOxBZKsbEA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, A_1 = _t, A_2 = _t, B_1 = _t, B_2 = _t]),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"ID"}, "Attribute", "Value"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Other Columns", "Attribute", Splitter.SplitTextByDelimiter("_", QuoteStyle.Csv), {"Attribute.1", "Attribute.2"}),
#"Pivoted Column" = Table.Pivot(#"Split Column by Delimiter", List.Distinct(#"Split Column by Delimiter"[Attribute.1]), "Attribute.1", "Value")
in
#"Pivoted Column"
attaching file as well
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
If the first row is not there and the second row have unique column name, you can do it in Dax Like that
union(
SELECTCOLUMNS(table,table[Project Id], "Milestore" ,"RH1", "Start Date", table[1.RH.start], "END Date", table[1.RH.start]),
SELECTCOLUMNS(table,table[Project Id], "Milestore" ,"2LH", "Start Date", table[1.LH.start], "END Date", table[1.LH.start])
)
first row was for illustration.
is this possible via unpivot?
@Anonymous
I have suggested dax way in first post. @ImkeF , suggsted a better way in M. Can you check solution work for you
Hi @Anonymous
yes, make sure your headers contain characters that make splitting like in the following example possible:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8nQxVNJRAmEjIDYGYhOlWB2QOIhvCsRmQGwOxBZKsbEA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, A_1 = _t, A_2 = _t, B_1 = _t, B_2 = _t]),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"ID"}, "Attribute", "Value"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Other Columns", "Attribute", Splitter.SplitTextByDelimiter("_", QuoteStyle.Csv), {"Attribute.1", "Attribute.2"}),
#"Pivoted Column" = Table.Pivot(#"Split Column by Delimiter", List.Distinct(#"Split Column by Delimiter"[Attribute.1]), "Attribute.1", "Value")
in
#"Pivoted Column"
attaching file as well
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
it works, thanks a lot.
I need the data for a Gantt Chart - now i have my attributes and my start and end date.
Is it possible to show shifts in a different color?
like this example:
Hi @Anonymous
please open another thread for this, as this is a completely other topic and should have different title/tags.
In there, please make sure to clarify if you're actually looking for an Excel-solution or a Power BI.
You should also clarify where to find the criteria that makes the distinction between the 2 statuses.
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
But @ImkeF can tell us a better solution.
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