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OmarSalahelDine
Regular Visitor

how to combine these two csv files with unmatched columns and the same row count ?

 Capture1.PNGCapture.PNG

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @OmarSalahelDine 

You can create two blank queries, then put the following codes to Advanced Editor in power query

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMtYzsVTSUXLMSUrMy0w0tLQ0AvIM9MwMTZVidQhKm+mZGOLVbWiMR9pIz8KUfLsH0mnD0+WxAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"sucides/100k pop" = _t, #"country-year" = _t, #"HDI " = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"sucides/100k pop", type number}, {"country-year", type text}, {"HDI ", type number}}),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type)
in
    #"Added Index"
let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcsxJSszLTFTSUTK0tDQCUrmJOalAythU19REoTI1sagYJGekFKuDW7Ghqa4RQrElXrWmprrmCLWmeNWiOsKcBDfgV4vqBhMS3DAaEEM4IGIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Country = _t, year = _t, sex = _t, age = _t, suncides_no = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Country", type text}, {"year", Int64.Type}, {"sex", type text}, {"age", type text}, {"suncides_no", Int64.Type}}),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type),
    #"Merged Queries" = Table.NestedJoin(#"Added Index", {"Index"}, Query1, {"Index"}, "Query1", JoinKind.LeftOuter),
    #"Expanded Query1" = Table.ExpandTableColumn(#"Merged Queries", "Query1", {"sucides/100k pop", "country-year", "HDI "}, {"sucides/100k pop", "country-year", "HDI "})
in
    #"Expanded Query1"

 

Output

vxinruzhumsft_0-1677217635592.png

 

Best Regards!

Yolo Zhu

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

View solution in original post

1 REPLY 1
Anonymous
Not applicable

Hi @OmarSalahelDine 

You can create two blank queries, then put the following codes to Advanced Editor in power query

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMtYzsVTSUXLMSUrMy0w0tLQ0AvIM9MwMTZVidQhKm+mZGOLVbWiMR9pIz8KUfLsH0mnD0+WxAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"sucides/100k pop" = _t, #"country-year" = _t, #"HDI " = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"sucides/100k pop", type number}, {"country-year", type text}, {"HDI ", type number}}),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type)
in
    #"Added Index"
let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcsxJSszLTFTSUTK0tDQCUrmJOalAythU19REoTI1sagYJGekFKuDW7Ghqa4RQrElXrWmprrmCLWmeNWiOsKcBDfgV4vqBhMS3DAaEEM4IGIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Country = _t, year = _t, sex = _t, age = _t, suncides_no = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Country", type text}, {"year", Int64.Type}, {"sex", type text}, {"age", type text}, {"suncides_no", Int64.Type}}),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type),
    #"Merged Queries" = Table.NestedJoin(#"Added Index", {"Index"}, Query1, {"Index"}, "Query1", JoinKind.LeftOuter),
    #"Expanded Query1" = Table.ExpandTableColumn(#"Merged Queries", "Query1", {"sucides/100k pop", "country-year", "HDI "}, {"sucides/100k pop", "country-year", "HDI "})
in
    #"Expanded Query1"

 

Output

vxinruzhumsft_0-1677217635592.png

 

Best Regards!

Yolo Zhu

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

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