Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
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 Name | Country | Service1 | Service2 | Service3 | Service4 | Service5 |
| a | USA | sales | consulting | HR | ||
| b | CAN | IPR | sales | |||
| c | MEX | consulting | legal | marketing | sales | IPR |
| d | USA | HR | IPR | consulting | ||
| e | CAN | marketing | sales | legal | IPR | |
| f | USA | sales | ||||
| g | USA | consulting |
I would like to create a summary table out of this data showing the distribution of service category values over countries.
| sales | consulting | HR | IPR | legal | marketing | |
| USA | 2 | 3 | 2 | 1 | 0 | 0 |
| CAN | 2 | 0 | 0 | 2 | 1 | 1 |
| MEX | 1 | 1 | 0 | 1 | 1 | 1 |
What to do - thanks in advance 🙂
Solved! Go to Solution.
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"
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!
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 56 | |
| 52 | |
| 45 | |
| 17 | |
| 16 |
| User | Count |
|---|---|
| 108 | |
| 108 | |
| 39 | |
| 33 | |
| 25 |