How To assemble data data in Power query

[Jazz-123]

Hi All,

I need help in to assemble data in below manner

Problem

Column1	Column6	Column7	Column8	Column9
Sep 2020	Function	Queue	Queue	Queue
Sep 2020	Priority	P1	P1	P1
Sep 2020	Team	Member	Insurance	Pension
Sep 2020	Team Target Coverage	1	0.9	0.9
Oct 2020	Function	Queue
Oct 2020	Priority	P1	P1	P1
Oct 2020	Team	Member	Insurance	Pension
Oct 2020	Team Target Coverage	1	0.9	0.9
Nov 2020	Function	Queue
Nov 2020	Priority	P1	P1	P1
Nov 2020	Team	Qeue-Member	Insurance	Pension
Nov 2020	Team Target Coverage	1	0.9	0.9

Solution

Month	Function	Priority	Team	Team Target Coverage
Sep-20	Queue	P1	Member	1
Sep-20	Queue	P1	Insurance	0.9
Sep-20	Queue	P1	Pension	0.9
Oct-20	Queue	P1	Member	1
Oct-20		P1	Insurance	0.9
Oct-20		P1	Pension	0.9
Nov-20	Queue	P1	Qeue-Member	1
Nov-20		P1	Insurance	0.9
Nov-20		P1	Pension	0.9

[Jimmy801 · Accepted solution]

Hello @Jazz-123 

you can use a Table.Group where you apply a Table.Transpose, Table.Ski and a Table.PromoteHeaders.

Here the code

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("jY6xCsIwEIZfJWSuErs5C4KD2mK30iGGo2RoItek0Lc3Jx1ilDZD7v7h+y9f2/IHvFgpSsELfvZGOW1NiLUHDz+7K774CrVF7WaKh2gkWANyCOsKwxMwhIsZPUqj6G4FZqQf/1RYI7EHx052ApQ90XRf7I/LpA67K7eizz4vBde8Yy5XPO3kmd/slGcegavmEbeY1+HWbls/KW7rd28=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column6 = _t, Column7 = _t, Column8 = _t, Column9 = _t]),
    #"Grouped Rows" = Table.Group(Source, {"Column1"}, {{"AllRows", each Table.PromoteHeaders(Table.Skip(Table.Transpose(_), 1))}}),
    #"Expanded AllRows" = Table.ExpandTableColumn(#"Grouped Rows", "AllRows", {"Function", "Priority", "Team", "Team Target Coverage"}, {"Function", "Priority", "Team", "Team Target Coverage"})
in
    #"Expanded AllRows"

Copy paste this code to the advanced editor in a new blank query to see how the solution works.

If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too

Have fun

Jimmy