The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
Hi guys,
I have a data set like this one and I'd like to split the column containing reasons based on the "," delimitor and then rearrange the resulting columns so that "reasonx" event will always appear only under the columnx.
And I want to get to something like this:
I load and split the columns in my query but after that I don't know how to propery sort the columns as above
Thank you,
Mihnea
Solved! Go to Solution.
Hi Mikyi_ro
basically, you need to unpivot the reason column then duplicate it and re-pivot it. I did it with the following query:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fY8xDsIwDEXv4jkDqVso12CNOjhx7A0GS5wfJwSkqojlW85//nZSAiKCAHFyIWNrza2SPe4xvCuOGk+whQQ5Z0dwdpGnGH/5aXDzni+lNH7k04+BtXPMzUF0URbTwx1Lx2qt7ixnl30adltE/GW9uGSVfAj5HHfttGpbE1uW/P339gI=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Data = _t, Data.1 = _t, Data.2 = _t, ReasonMerged = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Data", type text}, {"ReasonMerged", type text}}), #"Renamed Columns" = Table.RenameColumns(#"Changed Type",{{"ReasonMerged", "Reason"}}), #"Split Column by Delimiter" = Table.SplitColumn(#"Renamed Columns", "Reason", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Reason.1", "Reason.2", "Reason.3"}), #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Data.1", type text}, {"Data.2", type text}, {"Reason.1", type text}, {"Reason.2", type text}, {"Reason.3", type text}}), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type1", {"Data", "Data.1", "Data.2"}, "Attribute", "Value"), #"Removed Columns" = Table.RemoveColumns(#"Unpivoted Other Columns",{"Attribute"}), #"Duplicated Column" = Table.DuplicateColumn(#"Removed Columns", "Value", "Value - Copy"), #"Pivoted Column" = Table.Pivot(#"Duplicated Column", List.Distinct(#"Duplicated Column"[#"Value - Copy"]), "Value - Copy", "Value", List.Max) in #"Pivoted Column"
Original Data:
Hi Mikyi_ro
basically, you need to unpivot the reason column then duplicate it and re-pivot it. I did it with the following query:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fY8xDsIwDEXv4jkDqVso12CNOjhx7A0GS5wfJwSkqojlW85//nZSAiKCAHFyIWNrza2SPe4xvCuOGk+whQQ5Z0dwdpGnGH/5aXDzni+lNH7k04+BtXPMzUF0URbTwx1Lx2qt7ixnl30adltE/GW9uGSVfAj5HHfttGpbE1uW/P339gI=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Data = _t, Data.1 = _t, Data.2 = _t, ReasonMerged = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Data", type text}, {"ReasonMerged", type text}}), #"Renamed Columns" = Table.RenameColumns(#"Changed Type",{{"ReasonMerged", "Reason"}}), #"Split Column by Delimiter" = Table.SplitColumn(#"Renamed Columns", "Reason", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Reason.1", "Reason.2", "Reason.3"}), #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Data.1", type text}, {"Data.2", type text}, {"Reason.1", type text}, {"Reason.2", type text}, {"Reason.3", type text}}), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type1", {"Data", "Data.1", "Data.2"}, "Attribute", "Value"), #"Removed Columns" = Table.RemoveColumns(#"Unpivoted Other Columns",{"Attribute"}), #"Duplicated Column" = Table.DuplicateColumn(#"Removed Columns", "Value", "Value - Copy"), #"Pivoted Column" = Table.Pivot(#"Duplicated Column", List.Distinct(#"Duplicated Column"[#"Value - Copy"]), "Value - Copy", "Value", List.Max) in #"Pivoted Column"
Original Data:
Thank you very much!
It's what I needed .
My Table.Pivot statement had List.Count at the end, I changed it to .Max as in yours, but assume it's the same in this case.
Thanks again
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.
User | Count |
---|---|
112 | |
81 | |
75 | |
52 | |
47 |
User | Count |
---|---|
133 | |
124 | |
78 | |
64 | |
61 |