cancel
Showing results for 
Search instead for 
Did you mean: 
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
Super User III
Super User III

 

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

 

View solution in original post

2 REPLIES 2
CNENFRNL
Super User III
Super User III

 

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

 

View solution in original post

ERD
Solution Sage
Solution Sage

@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.

 

Helpful resources

Announcements
PBI_User Group Leader_768x460.jpg

Manage your user group events

Check out the News & Announcements to learn more.

Get Ready for Power BI Dev Camp

Microsoft named a Leader in The Forrester Wave

Microsoft received the highest score of any vendor in both the strategy and current offering categories.

Get Ready for Power BI Dev Camp

Power BI Dev Camp - September 30th, 2021

Mark your calendars and join us for our next Power BI Dev Camp!

PowerPlatform 768x460.png

Microsoft Learn

Check out our new Discover Your Career Path blog post series and get all the details.

Top Kudoed Authors