Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now

Reply
asanadidy
Regular Visitor

unpivot Column

i have data in tab Input sheet in need the result in tab Output sheet 

 

data in Excel : https://www.dropbox.com/scl/fi/4ucmiwijhu253sbg043d5/Data.xlsx?dl=0&rlkey=grbj0mom9w3tj53dz76padjtf

1 ACCEPTED SOLUTION
CNENFRNL
Community Champion
Community Champion

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Payment_ID1 = _t, Payment1 = _t, #"Due Date1" = _t, #"Actual Payment Date1" = _t, Remaining1 = _t, Payment_ID2 = _t, Payment2 = _t, #"Due Date2" = _t, #"Actual Payment Date2" = _t, Remaining2 = _t, Payment_ID3 = _t, Payment3 = _t, #"Due Date3" = _t, #"Actual Payment Date3" = _t, Remaining3 = _t]),
    #"Grouped Columns" = List.Split(Table.ToColumns(Source),5),
    Custom1 = let cols = List.Transform(List.FirstN(Table.ColumnNames(Source), 5), each Text.Remove(_, {"0".."9"})) in Table.Combine(List.Accumulate({1..List.Count(#"Grouped Columns")}, {}, (s,c) => s & {Table.TransformColumns(Table.Unpivot(Table.FromColumns(#"Grouped Columns"{c-1}, cols), {"Payment"}, "PMT", "Amount"), {"PMT", each _ & Text.From(c)})})),
    #"Filtered Rows" = Table.SelectRows(Custom1, each ([Payment_ID] <> ""))
in
    #"Filtered Rows"

Screenshot 2021-05-01 225505.png

 


Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension!

DAX is simple, but NOT EASY!

View solution in original post

2 REPLIES 2
CNENFRNL
Community Champion
Community Champion

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Payment_ID1 = _t, Payment1 = _t, #"Due Date1" = _t, #"Actual Payment Date1" = _t, Remaining1 = _t, Payment_ID2 = _t, Payment2 = _t, #"Due Date2" = _t, #"Actual Payment Date2" = _t, Remaining2 = _t, Payment_ID3 = _t, Payment3 = _t, #"Due Date3" = _t, #"Actual Payment Date3" = _t, Remaining3 = _t]),
    #"Grouped Columns" = List.Split(Table.ToColumns(Source),5),
    Custom1 = let cols = List.Transform(List.FirstN(Table.ColumnNames(Source), 5), each Text.Remove(_, {"0".."9"})) in Table.Combine(List.Accumulate({1..List.Count(#"Grouped Columns")}, {}, (s,c) => s & {Table.TransformColumns(Table.Unpivot(Table.FromColumns(#"Grouped Columns"{c-1}, cols), {"Payment"}, "PMT", "Amount"), {"PMT", each _ & Text.From(c)})})),
    #"Filtered Rows" = Table.SelectRows(Custom1, each ([Payment_ID] <> ""))
in
    #"Filtered Rows"

Screenshot 2021-05-01 225505.png

 


Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension!

DAX is simple, but NOT EASY!

ERD
Community Champion
Community Champion

@asanadidy ,

One of the options:

ERD_0-1619899967663.png

t1 = Table.SelectColumns(Source,{"A", "B", "C"}),
t2 = Table.RenameColumns(Table.SelectColumns(Source,{"A1", "B1", "C1"}), {{"A1", "A"},{"B1", "B"},{"C1", "C"}}),
t3 = Table.RenameColumns(Table.SelectColumns(Source,{"A2", "B2", "C2"}), {{"A2", "A"},{"B2", "B"},{"C2", "C"}}),
res = Table.Combine({t1,t2,t3})

ERD_1-1619900058266.png

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

 

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

Check out my latest demo report in the data story gallery.

Stand with Ukraine!


Here are official ways you can support Ukraine financially (accounts with multiple currencies):
1) Support the Armed Forces of Ukraine: https://bank.gov.ua/ua/about/support-the-armed-forces
2) Come Back Alive foundation: https://www.comebackalive.in.ua/

Thank you!

Helpful resources

Announcements
Join our Fabric User Panel

Join our Fabric User Panel

Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.

February Power BI Update Carousel

Power BI Monthly Update - February 2026

Check out the February 2026 Power BI update to learn about new features.

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.