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Anonymous
Not applicable

Many tables in one excel sheet with different column names into one dataset

Hi Experts!

 

I have many tables in Excel under each other and I would like to merge it to one dataset. Can´t figure out how Power Querry can  understand that new table start with each time when row include SIZE.

 

For example:

SIZE

7

8

9

Red

3

 

3

Blue

 

 

6

 

 

 

 

SIZE

4

5

6

Red

 

 

4

Black

 

 

4

 

 

 

 

SIZE

11

12

13

Green

 

 

15

Gray

15

 

 

 

 

 

 

SIZE

4

5

6

White

 

2

 

Black

3

 

 

 

And I would like to see it like this:

COLOR

SIZE

QTY

Red

7

3

Red

9

3

Blue

9

6

Red

6

4

Black

6

4

Green

13

15

Gray

11

15

White

5

2

Black

4

3

 

Thanks to all in advance!

2 REPLIES 2
v-kelly-msft
Community Support
Community Support

Hi  @Anonymous ,

 

First in the 4 original tables,do the following transformations:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCvaMclXSUTIHYgsgtlSK1YlWCkpNAbKNgRhMgYScckpTIXwgMlOKjQUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", Int64.Type}, {"Column3", Int64.Type}, {"Column4", Int64.Type}}),
    #"Transposed Table" = Table.Transpose(#"Changed Type"),
    #"Promoted Headers" = Table.PromoteHeaders(#"Transposed Table", [PromoteAllScalars=true]),
    #"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{"SIZE", Int64.Type}, {"Red", Int64.Type}, {"Blue", Int64.Type}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type1", {"SIZE"}, "Attribute", "Value"),
    #"Renamed Columns" = Table.RenameColumns(#"Unpivoted Columns",{{"Attribute", "Color"}, {"Value", "Qty"}})
in
    #"Renamed Columns"

And you will see each table is transformed to below format:

vkellymsft_0-1631002994046.png

Then append tables ,and you will see:

vkellymsft_1-1631003014409.png

For the related .pbix file,pls see attached.

 

Best Regards,
Kelly

Did I answer your question? Mark my reply as a solution!

CNENFRNL
Community Champion
Community Champion

let
    Table1 = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCkpNUdJRMgZiMBWrE63klFOaCuEDkZlSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [SIZE = _t, #"7" = _t, #"8" = _t, #"9" = _t]),
    Table2 = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCkpNUdJRgiATpVidaCWnnMTkbGSxWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [SIZE = _t, #"4" = _t, #"5" = _t, #"6" = _t]),
    Table3 =  Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wci9KTc1T0lGCIENTpVgdkGBiJYQHkYiNBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [SIZE = _t, #"11" = _t, #"12" = _t, #"13" = _t]),
    Table4 = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCs/ILElV0lECIiMQFasTreSUk5icDeQYQ8SVYmMB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [SIZE = _t, #"4" = _t, #"5" = _t, #"6" = _t]),

    #"Merged Tables" = Table1 & Table2 & Table3 & Table4,
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Merged Tables", {"SIZE"}, "Size", "Qty"),
    #"Filtered Rows" = Table.SelectRows(#"Unpivoted Other Columns", each ([Qty] <> "")),
    #"Renamed Columns" = Table.RenameColumns(#"Filtered Rows",{{"SIZE", "Color"}})
in
    #"Renamed Columns"

Screenshot 2021-08-25 002036.png


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DAX is simple, but NOT EASY!

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