Forum Discussion
TobiasHolm
3 years agoFrequent Visitor
Split a column as rows into a new table
Hi We have a large table with a lot of columns. One of them contains the number of incoming, resolved and waiting tasks in that month. Another column contains the information, as to whether it is...
- Anonymous3 years ago
Hi TobiasHolm
You can put the following code to Adcanced Editor
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8krMU9JR8sxLzs/NzEsHMg2VYnVgwkGpxfk5ZakpQKYRknB4YmYJRLExWNQtNQnVDBMkYSQzTJGEEWaYKcXGAgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Month = _t, Designation = _t, Tasks = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Month", type text}, {"Designation", type text}, {"Tasks", Int64.Type}}), #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Designation]), "Designation", "Tasks", List.Sum) in #"Pivoted Column"Output
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.
Anonymous
3 years agoNot applicable
Hi TobiasHolm
You can put the following code to Adcanced Editor
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8krMU9JR8sxLzs/NzEsHMg2VYnVgwkGpxfk5ZakpQKYRknB4YmYJRLExWNQtNQnVDBMkYSQzTJGEEWaYKcXGAgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Month = _t, Designation = _t, Tasks = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Month", type text}, {"Designation", type text}, {"Tasks", Int64.Type}}),
#"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Designation]), "Designation", "Tasks", List.Sum)
in
#"Pivoted Column"
Output
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.
- TobiasHolm3 years agoFrequent Visitor
Thanks. Exactly what we were looking for!