Solved: unpivot Column

asanadidy · ‎05-01-2021

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

CNENFRNL · ‎05-01-2021

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"

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

CNENFRNL · ‎05-01-2021

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("nZhPbxMxEMW/S861Yo+9/44hUIXQlJIgLlUPoYq4VFAhgsS3x7v27M7sjr0LUiTL1fYXP8+z520eH1cftpv1Vu3e3W3u1Be7Pq1vlTbro1kfjPp8f1KgtV7drEwYrNq8/vR/A+Mn7aC0U8YMD6RxoLab0w55gLzD+Q/y/CePsDJif/3OEE83siyIsgQIaHX/43dL0SjM+E+RWRKkVXna28tzT7N0lseJCj1uf+4lmobO0mptC7QPUW4TUHEwoDbXb7yOtTI2s76Ii3rbaqMtuiUWuH8dsKGzGaLtbNYuTLVPVz3wcO6d5mvBfKfTsouWWjwE8xpuXq0+Pv8iRfbfqBVUmTVGGnS0Aor2uTgAdUxNJ/GBDC9oLsNzJfJuL19RYkknabEl1hjF0pqYUY07tTqntsQad7gCSzIA/9nVZTwkAxDaDRJ4Da23qPj9m92xZVb0GNsqlDYMDiX3Bfa2hkZeIOeBzDtdXnteTWezQCsDiQMdNU1Wcs0kQyBC3MT99YVLLhUkLi7OA5lHttDSySzPyjyyaQXfwZStG+w/x9FNaLBdDGKdsjkDNmjAKSq2DZ3vPE2UJgJeGCAhx2gixwZEHGBavNpfjOnlRBaILFKrasaqhGVFFvl35tm0SjOoNHXYoXrqqCCyUlBnFmYGkWNUXFfsMnl3EpaVWESWbw1LnGm6Lg1tU919Uga7adOHo+ntk61mxEHATe5v0gMMbwid4/qPsF6XTHI4lNhS6VmSm6GbzXGeRk8mO6d5nJx4Sno6fRYgs7RYYIlnElGAta+uH4KvYWaFkM08LJOwyQwvSq4Dpha6dVZmwWIsRHGYmsYatdconjVGgwSNJE3f/kYWTONsAkcAFd+wlNiSiXUB5GIdpIICZFZXMrFjGhHreMbO0WyCxrTm05zj0cGghV10muudJ72laCdeCQuuiGy80ClH+U22MYZPNyabMLRgK+Po5ixg8pSx4A5smIV4D9fi+yxuaJomXoKeNvM263imkBmzr7NuFCv83W6LeNKKdNFyXh5yRfueg8F/wNGCVQvugSFbIA8Yj3a2+dPB8kW4i4NeHKQq6tzyWCsbwxYV0bD2NUYsrSH/SSIEE6j/UxT/RWIEWyaK/woxQkxEPf0F", 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"

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 · ‎05-01-2021

@asanadidy ,

One of the options:

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})

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

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