Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowTry your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now
Hi everyone,
I am trying to figure out how to stack mulitple columns in a smart way. The below tables shows an example of the data from Doc1 (Doc1, Doc2, Doc3...)
| Record | Size1 | Volume1 | Size2 | Volume2 | Size3 | Volume3 | Size4 | Volume4 |
| Doc1 | 1 | 0,1 | 4 | 0,4 | 7 | 0,7 | 10 | 0,10 |
| Doc1 | 2 | 0,2 | 5 | 0,5 | 8 | 0,8 | ||
| Doc1 | 3 | 0,3 | 6 | 0,6 | 9 | 0,9 | ||
| Desired result: | ||||||||
| Record | Size | Volume | ||||||
| Doc1 | 1 | 0,1 | ||||||
| Doc1 | 2 | 0,2 | ||||||
| Doc1 | 3 | 0,3 | ||||||
| Doc1 | 4 | 0,4 | ||||||
| Doc1 | 5 | 0,5 | ||||||
| Doc1 | 6 | 0,6 | ||||||
| Doc1 | 7 | 0,7 | ||||||
| Doc1 | 8 | 0,8 | ||||||
| Doc1 | 9 | 0,9 | ||||||
| Doc1 | 10 | 0,10 |
I have tried with unpivot and it works when I only unpivot Size or Volume.
But how can I achive the desired result and keep the order of size vs volume values?
Thanks in advance
Solved! Go to Solution.
I don't know if this is the fastest way, but i would do it like this:
- Unpivot volume columns
- Unpivot size columns.
- Split both attribute columns by number of characters, so you will have the relevant number.
- Add a custom column that checks if the numbers for size and volume are the same, filter this to true.
- Remove irrelevant columns.
This is the query code:
let
Source = Excel.Workbook(File.Contents("C:\....Map2.xlsx"), null, true),
Blad1_Sheet = Source{[Item="Blad1",Kind="Sheet"]}[Data],
#"Promoted Headers" = Table.PromoteHeaders(Blad1_Sheet, [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Record", type text}, {"Size1", Int64.Type}, {"Volume1", type number}, {"Size2", Int64.Type}, {"Volume2", type number}, {"Size3", Int64.Type}, {"Volume3", type number}, {"Size4", Int64.Type}, {"Volume4", type number}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Record", "Size1", "Size2", "Size3", "Size4"}, "Attribute", "Value"),
#"Unpivoted Columns1" = Table.UnpivotOtherColumns(#"Unpivoted Columns", {"Record", "Attribute", "Value"}, "Attribute.1", "Value.1"),
#"Split Column by Position" = Table.SplitColumn(#"Unpivoted Columns1", "Attribute", Splitter.SplitTextByRepeatedLengths(6), {"Attribute.1.1", "Attribute.2"}),
#"Renamed Columns" = Table.RenameColumns(#"Split Column by Position",{{"Attribute.2", "Volume number"}}),
#"Split Column by Position1" = Table.SplitColumn(#"Renamed Columns", "Attribute.1", Splitter.SplitTextByRepeatedLengths(4), {"Attribute.1.1.1", "Attribute.1.2"}),
#"Renamed Columns1" = Table.RenameColumns(#"Split Column by Position1",{{"Attribute.1.2", "Size Number"}, {"Value", "Volume"}, {"Value.1", "Size"}}),
#"Added Custom" = Table.AddColumn(#"Renamed Columns1", "Custom", each [Volume number]=[Size Number]),
#"Filtered Rows" = Table.SelectRows(#"Added Custom", each ([Custom] = true)),
#"Removed Other Columns" = Table.SelectColumns(#"Filtered Rows",{"Record", "Size", "Volume"}),
#"Sorted Rows" = Table.Sort(#"Removed Other Columns",{{"Size", Order.Ascending}})
in
#"Sorted Rows"
Another solution with Table.Group
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcslPNlTSUQJhAx0QaQJmgUhzMAtEGhpApWN14DqMwEIg0hTMApEWYBaIBCEkxcZgCRBpBmaBSEswyxKmOBYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Record = _t, Size1 = _t, Volume1 = _t, Size2 = _t, Volume2 = _t, Size3 = _t, Volume3 = _t, Size4 = _t, Volume4 = _t]),
Group = Table.Group(Source, {"Record"},
{{"Data", each Table.FromColumns({
List.Combine(List.Alternate(Table.ToColumns(_),1,1)),
List.Combine(List.Skip(List.Alternate(Table.ToColumns(_),1,1,1)))},
{"Size","Volume"})}}),
Expand = Table.ExpandTableColumn(Group, "Data", {"Size", "Volume"}, {"Size", "Volume"})
in
Expand
Stéphane
Thanks @slorin.
This solution looks nice, I am a bit new to using the grouping function but will defently try this out.
I don't know if this is the fastest way, but i would do it like this:
- Unpivot volume columns
- Unpivot size columns.
- Split both attribute columns by number of characters, so you will have the relevant number.
- Add a custom column that checks if the numbers for size and volume are the same, filter this to true.
- Remove irrelevant columns.
This is the query code:
let
Source = Excel.Workbook(File.Contents("C:\....Map2.xlsx"), null, true),
Blad1_Sheet = Source{[Item="Blad1",Kind="Sheet"]}[Data],
#"Promoted Headers" = Table.PromoteHeaders(Blad1_Sheet, [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Record", type text}, {"Size1", Int64.Type}, {"Volume1", type number}, {"Size2", Int64.Type}, {"Volume2", type number}, {"Size3", Int64.Type}, {"Volume3", type number}, {"Size4", Int64.Type}, {"Volume4", type number}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Record", "Size1", "Size2", "Size3", "Size4"}, "Attribute", "Value"),
#"Unpivoted Columns1" = Table.UnpivotOtherColumns(#"Unpivoted Columns", {"Record", "Attribute", "Value"}, "Attribute.1", "Value.1"),
#"Split Column by Position" = Table.SplitColumn(#"Unpivoted Columns1", "Attribute", Splitter.SplitTextByRepeatedLengths(6), {"Attribute.1.1", "Attribute.2"}),
#"Renamed Columns" = Table.RenameColumns(#"Split Column by Position",{{"Attribute.2", "Volume number"}}),
#"Split Column by Position1" = Table.SplitColumn(#"Renamed Columns", "Attribute.1", Splitter.SplitTextByRepeatedLengths(4), {"Attribute.1.1.1", "Attribute.1.2"}),
#"Renamed Columns1" = Table.RenameColumns(#"Split Column by Position1",{{"Attribute.1.2", "Size Number"}, {"Value", "Volume"}, {"Value.1", "Size"}}),
#"Added Custom" = Table.AddColumn(#"Renamed Columns1", "Custom", each [Volume number]=[Size Number]),
#"Filtered Rows" = Table.SelectRows(#"Added Custom", each ([Custom] = true)),
#"Removed Other Columns" = Table.SelectColumns(#"Filtered Rows",{"Record", "Size", "Volume"}),
#"Sorted Rows" = Table.Sort(#"Removed Other Columns",{{"Size", Order.Ascending}})
in
#"Sorted Rows"
Thanks!
| User | Count |
|---|---|
| 4 | |
| 3 | |
| 2 | |
| 2 | |
| 1 |
| User | Count |
|---|---|
| 11 | |
| 9 | |
| 5 | |
| 4 | |
| 4 |