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koiralasmn
Frequent Visitor

Stack columns after end of 32 rows of data : Same title : Same Query

koiralasmn_0-1710608232796.png

Hi, I want to clean this table in such a way that I can make reports.
Here you can see dates in columns 1 and 7 with the same titles in between.

Is there any way where I can stack these columns in a format of  
columns 1 to 6 
Columns 7 to 12
Columns 13 to 18

on top of each other?

 

 

I believe merge / append queries don't work for this: Happy for suggestions

1 ACCEPTED SOLUTION
dufoq3
Super User
Super User

Hi @koiralasmn, for future requests: provide sample date as table so we can copy/paste. Thanks.

 

Before:

dufoq3_0-1710620488699.png

 

After:

dufoq3_1-1710620510170.png

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WUtJRMjFVyM3MU0itALKDUssU0vMTc4qBbDMDsHhJUWJmXmZeOlDEyEDBJ780MxWsMDFFwdAAyBp4E2J1opUs9A31jQyMjIDCbo4+wa5E0JYILSFBofhUQqUNDQjqgAqDKYizjEh3lhFxlsC4QGeRaAnEZcaku8yYZJcR0oGiMzYWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t, Column7 = _t, Column8 = _t, Column9 = _t, Column10 = _t, Column11 = _t, Column12 = _t, Column13 = _t, Column14 = _t, Column15 = _t, Column16 = _t, Column17 = _t, Column18 = _t]),
    SplitBy = [ a = List.PositionOf(Record.ToList(Source{0}), "", Occurrence.All),
    b = a{1} - a{0}
  ][b],
    StepBack = Source,
    PromotedHeaders = Table.PromoteHeaders(StepBack, [PromoteAllScalars=true]),
    SplitAndCombine = Table.Combine(List.Transform(List.Split(Table.ToColumns(PromotedHeaders), SplitBy), Table.FromColumns)),
    RenamedColumns = Table.RenameColumns(SplitAndCombine, List.Zip({ Table.ColumnNames(SplitAndCombine), {"Date"} & List.Skip(List.FirstN(Table.ColumnNames(PromotedHeaders), SplitBy)) }))
in
    RenamedColumns

Note: Check this link to learn how to use my query.
Check this link if you don't know how to provide sample data.

View solution in original post

1 REPLY 1
dufoq3
Super User
Super User

Hi @koiralasmn, for future requests: provide sample date as table so we can copy/paste. Thanks.

 

Before:

dufoq3_0-1710620488699.png

 

After:

dufoq3_1-1710620510170.png

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WUtJRMjFVyM3MU0itALKDUssU0vMTc4qBbDMDsHhJUWJmXmZeOlDEyEDBJ780MxWsMDFFwdAAyBp4E2J1opUs9A31jQyMjIDCbo4+wa5E0JYILSFBofhUQqUNDQjqgAqDKYizjEh3lhFxlsC4QGeRaAnEZcaku8yYZJcR0oGiMzYWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t, Column7 = _t, Column8 = _t, Column9 = _t, Column10 = _t, Column11 = _t, Column12 = _t, Column13 = _t, Column14 = _t, Column15 = _t, Column16 = _t, Column17 = _t, Column18 = _t]),
    SplitBy = [ a = List.PositionOf(Record.ToList(Source{0}), "", Occurrence.All),
    b = a{1} - a{0}
  ][b],
    StepBack = Source,
    PromotedHeaders = Table.PromoteHeaders(StepBack, [PromoteAllScalars=true]),
    SplitAndCombine = Table.Combine(List.Transform(List.Split(Table.ToColumns(PromotedHeaders), SplitBy), Table.FromColumns)),
    RenamedColumns = Table.RenameColumns(SplitAndCombine, List.Zip({ Table.ColumnNames(SplitAndCombine), {"Date"} & List.Skip(List.FirstN(Table.ColumnNames(PromotedHeaders), SplitBy)) }))
in
    RenamedColumns

Note: Check this link to learn how to use my query.
Check this link if you don't know how to provide sample data.

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