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!To celebrate FabCon Vienna, we are offering 50% off select exams. Ends October 3rd. Request your discount now.
Dear All,
I am struggling with a data-set. For each child the scores are in a cell separated by comma. I want first separate them and then put them in single row. The way it is shows below the data set. I have done that manually! Can some body help me? The above is the data set, and below is what I want.
Thank You,
Solved! Go to Solution.
In Power Query you should be able to use Split Column by Delimiter on your Scores column (Transform tab in the Text column area) and then you can upivot the resulting columns.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wcs5JLC42U9JRckosTvXJzEsFMk11jHQMQVApNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [classtype = _t, #"type" = _t, scores = _t]), #"Split Column by Delimiter" = Table.SplitColumn(Source, "scores", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"scores.1", "scores.2", "scores.3", "scores.4", "scores.5"}), #"Changed Type" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"classtype", type text}, {"type", type text}, {"scores.1", Int64.Type}, {"scores.2", Int64.Type}, {"scores.3", Int64.Type}, {"scores.4", Int64.Type}, {"scores.5", Int64.Type}}), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"classtype", "type"}, "Attribute", "Value"), #"Removed Columns" = Table.RemoveColumns(#"Unpivoted Other Columns",{"Attribute"}) in #"Removed Columns"
In Power Query you should be able to use Split Column by Delimiter on your Scores column (Transform tab in the Text column area) and then you can upivot the resulting columns.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wcs5JLC42U9JRckosTvXJzEsFMk11jHQMQVApNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [classtype = _t, #"type" = _t, scores = _t]), #"Split Column by Delimiter" = Table.SplitColumn(Source, "scores", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"scores.1", "scores.2", "scores.3", "scores.4", "scores.5"}), #"Changed Type" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"classtype", type text}, {"type", type text}, {"scores.1", Int64.Type}, {"scores.2", Int64.Type}, {"scores.3", Int64.Type}, {"scores.4", Int64.Type}, {"scores.5", Int64.Type}}), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"classtype", "type"}, "Attribute", "Value"), #"Removed Columns" = Table.RemoveColumns(#"Unpivoted Other Columns",{"Attribute"}) in #"Removed Columns"
User | Count |
---|---|
98 | |
76 | |
74 | |
49 | |
26 |