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JannePK
Regular Visitor

Summarize values over multiple columns

Hi,

 

can't get my head around the following problem:

 

I have a table of company data name, country etc including five "category" columns which may have data in zero to five of them, this category data coming from a finite set of values.

Company NameCountryService1Service2Service3Service4Service5
aUSAsalesconsultingHR  
bCANIPRsales   
cMEXconsultinglegalmarketingsalesIPR
dUSAHRIPRconsulting  
eCANmarketingsaleslegalIPR 
fUSAsales    
gUSAconsulting    

 

I would like to create a summary table out of this data showing the distribution of service category values over countries.

 salesconsultingHRIPRlegalmarketing
USA232100
CAN200211
MEX110111

 

What to do - thanks in advance 🙂

1 ACCEPTED SOLUTION
Zubair_Muhammad
Community Champion
Community Champion

@JannePK 

 

Following M works with your sample data

Please see the attached file's query editor for steps

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSlTSUQoNdgSSxYk5qcVAOjk/r7g0pyQzLx3I8QgCEgpgHKsTrZQEZDk7+gFJz4AgJD0KKKqSgSxf1wh0s3JS0xNzgHRuYlF2KlQMZgDIOJDWFLhzwDZDbEExBWFNKtwx2EyE2QYxAqIjDcOzChiOT4erwWItBCvFxgIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Company Name" = _t, Country = _t, Service1 = _t, Service2 = _t, Service3 = _t, Service4 = _t, Service5 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Company Name", type text}, {"Country", type text}, {"Service1", type text}, {"Service2", type text}, {"Service3", type text}, {"Service4", type text}, {"Service5", type text}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Company Name", "Country"}, "Attribute", "Value"),
    #"Removed Columns" = Table.RemoveColumns(#"Unpivoted Columns",{"Attribute"}),
    #"Filtered Rows" = Table.SelectRows(#"Removed Columns", each ([Value] <> "" and [Value] <> " ")),
    #"Duplicated Column" = Table.DuplicateColumn(#"Filtered Rows", "Country", "Country - Copy"),
    #"Removed Columns1" = Table.RemoveColumns(#"Duplicated Column",{"Company Name"}),
    #"Pivoted Column" = Table.Pivot(#"Removed Columns1", List.Distinct(#"Removed Columns1"[Value]), "Value", "Country - Copy", List.Count)
in
    #"Pivoted Column"

View solution in original post

2 REPLIES 2
Zubair_Muhammad
Community Champion
Community Champion

@JannePK 

 

Following M works with your sample data

Please see the attached file's query editor for steps

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSlTSUQoNdgSSxYk5qcVAOjk/r7g0pyQzLx3I8QgCEgpgHKsTrZQEZDk7+gFJz4AgJD0KKKqSgSxf1wh0s3JS0xNzgHRuYlF2KlQMZgDIOJDWFLhzwDZDbEExBWFNKtwx2EyE2QYxAqIjDcOzChiOT4erwWItBCvFxgIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Company Name" = _t, Country = _t, Service1 = _t, Service2 = _t, Service3 = _t, Service4 = _t, Service5 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Company Name", type text}, {"Country", type text}, {"Service1", type text}, {"Service2", type text}, {"Service3", type text}, {"Service4", type text}, {"Service5", type text}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Company Name", "Country"}, "Attribute", "Value"),
    #"Removed Columns" = Table.RemoveColumns(#"Unpivoted Columns",{"Attribute"}),
    #"Filtered Rows" = Table.SelectRows(#"Removed Columns", each ([Value] <> "" and [Value] <> " ")),
    #"Duplicated Column" = Table.DuplicateColumn(#"Filtered Rows", "Country", "Country - Copy"),
    #"Removed Columns1" = Table.RemoveColumns(#"Duplicated Column",{"Company Name"}),
    #"Pivoted Column" = Table.Pivot(#"Removed Columns1", List.Distinct(#"Removed Columns1"[Value]), "Value", "Country - Copy", List.Count)
in
    #"Pivoted Column"

Thanks a lot - this worked exactly as expected!

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