Unpivot Columns in Groups

[Jukie]

Hello! I have a Sharepoint List collecting data from a Power App Form.  For end user ease, they can enter multiple expenses on one form.  However, this adds all the different expenses to one row on my list and it gets pulled into Power BI that way.

I know I can unpivot it when I Transform the data, but want to unpivot such that any column with a 1 is pivoted together and the same for 2, 3, etc.  Could I concatenate the groups, unpivot and then split them apart? Is there an easier/better way?

THANKS!

[ryan_mayu · Accepted solution]

@Jukie 

maybe you can try this

merge same group of column

select the first two columns and unpivot other columns

remove the attribute column and split value column by delimiter

[Jukie]

@ryan_mayu  Exactly the result I was hoping to get.  Thank you for taking the time to think this over and provide an answer.  The images and detailed directions are super helpful.  THANKS!

[ryan_mayu]

you are welcome

[lbendlin]

Please provide sample data that covers your issue or question completely, in a usable format (not as a screenshot).

Do not include sensitive information or anything not related to the issue or question.

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[Jukie]

@lbendlin Thank you for the directions. I had tried to attach my excel doc but it would not allow it.  While I have my solution, I'll include it here just in case someone has a different idea that does not involve merging and splitting.

Sharepoint List Data Collected from Power Apps Form

Conference

Planner

Payment Method1

Vendor1

Expense Type1

Total Cost1

CONCAT1

Payment Method2

Vendor2

Expense Type2

Total Cost2

CONCAT2

Payment Method3

Vendor3

Expense Type3

Total Cost3

CONCAT3

Big Conference

George

Credit Card

Hotel

Room Rental

$ 1,000.00

Credit Card * Hotel * Room Rental * 1000

Credit Card

Restaurant

F&B

$       500.00

Credit Card * Restaurant * F&B * 500

Wire Transfer

Car Company

Transportation

$       120.00

Wire Transfer * Car Company * Transportation * 120

THE Conference

Sally

Cash

Restaurant

F&B

$     300.00

Credit Card

Conference Center

Room Rental

$   2,000.00

Venmo

Entertainer X

Entertainment

$       300.00

Unpivot End Result

Conference

Planner

Payment Method

Vendor

Expense Type

Cost

Big Conference

George

Credit Card

Hotel

Room Rental

$ 1,000.00

Big Conference

George

Credit Card

Restaurant

F&B

$     500.00

Big Conference

George

Wire Transfer

Car Company

Transportation

$     120.00

THE Conference

Sally

Cash

Restaurant

F&B

$     300.00

THE Conference

Sally

Credit Card

Conference Center

Room Rental

$ 2,000.00

THE Conference

Sally

Venmo

Entertainer X

Entertainment

$     300.00

[lbendlin]

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("hVFBasMwEPzKYnoqpsguyQNi0ubshibg+rA021RgS0FWDvl9RjJJZEypQKwGaWZ2Vk2TrfSRKmt+xIn5lizP3sW6YzhUTg7aU8XuALSxXjrU2tqeajGeA6InKnKl1ItSASUUeqZIQU0oQAWe00y+lsHz2bHxAG9fZ6XK5Wo0GNfiD5MHEeBGxHExuuy0E9riekDC4MoOcfsTmwtQvDhZ59lra1K7orzZTRQgnCgATRVCvBK+bd5k2816OtgP7rpLbGH4/T/x6z3vbFYPVaow1Zhr9i1EZfIx2J9ieou6DgzP2iDNPsW9xFbuI0g6aNsr", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Conference = _t, Planner = _t, #"Payment Method1" = _t, Vendor1 = _t, #"Expense Type1" = _t, #"Total Cost1" = _t, CONCAT1 = _t, #"Payment Method2" = _t, Vendor2 = _t, #"Expense Type2" = _t, #"Total Cost2" = _t, CONCAT2 = _t, #"Payment Method3" = _t, Vendor3 = _t, #"Expense Type3" = _t, #"Total Cost3" = _t, CONCAT3 = _t]),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"Conference", "Planner"}, "Attribute", "Value"),
    #"Split Column by Character Transition" = Table.SplitColumn(#"Unpivoted Other Columns", "Attribute", Splitter.SplitTextByCharacterTransition((c) => not List.Contains({"0".."9"}, c), {"0".."9"}), {"Attribute", "Sequence"}),
    #"Pivoted Column" = Table.Pivot(#"Split Column by Character Transition", List.Distinct(#"Split Column by Character Transition"[Attribute]), "Attribute", "Value")
in
    #"Pivoted Column"

How to use this code: Create a new Blank Query. Click on "Advanced Editor". Replace the code in the window with the code provided here. Click "Done". Once you examined the code, replace the Source step with your own source.