Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
I get data from outkook emails which are stacked in power query where each day's emails have tables with different headers.
Currently data is like below where first 4 rows represent table 1 from day 1 and last 4 rows is from 2nd table from day 2 and so on.
| Day 1 | Value A | Value B | Value C |
| A | 1 | 2 | 3 |
| B | 4 | 5 | 6 |
| C | 7 | 8 | 9 |
| Day 2 | Value A | Value C | Value D |
| A | 10 | 11 | 12 |
| B | 14 | 15 | 16 |
| C | 17 | 18 | 19 |
I want this table to unpivot link below:
| Day | Category | Type | Value |
| Day 1 | A | Value A | 1 |
| Day 1 | A | Value B | 2 |
| Day 1 | A | Value C | 3 |
| Day 1 | B | Value A | 4 |
| Day 1 | B | Value B | 5 |
| Day 1 | B | Value C | 6 |
| Day 1 | C | Value A | 7 |
| Day 1 | C | Value B | 8 |
| Day 1 | C | Value C | 9 |
| Day 2 | A | Value A | 10 |
| Day 2 | A | Value C | 11 |
| Day 2 | A | Value D | 12 |
| Day 2 | B | Value A | 14 |
| Day 2 | B | Value C | 15 |
| Day 2 | B | Value D | 16 |
| Day 2 | C | Value A | 17 |
| Day 2 | C | Value C | 18 |
| Day 2 | C | Value D | 19 |
Thanks in adcance for help.
Regards.
Solved! Go to Solution.
Try this:
It works on your sample
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("bY0rDoAwEESv0qxGMOUvoT0DpqmowGER3J6diq1BvGYy3cxLSWJ5HaSTs9zP5XZLh6UguUvCH955ZagNL0ZlUubaBE2Lsipbbbjuf9aDpdjWez50wJsANIAKNAcoAS1QTf4A", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{
{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type text}}),
//Add column to group by dates
#"Added Custom" = Table.AddColumn(#"Changed Type", "Day", each if Text.StartsWith([Column1],"Day") then [Column1] else null, type nullable text),
#"Filled Down" = Table.FillDown(#"Added Custom",{"Day"}),
//Unpivot each subgroup
#"Grouped Rows" = Table.Group(#"Filled Down", {"Day"}, {
{"UNPivot", (t)=>
let
#"Promote Headers" = Table.PromoteHeaders(t),
#"Removed Columns" = Table.RemoveColumns(#"Promote Headers", List.Last(Table.ColumnNames(#"Promote Headers"))),
#"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{List.First(Table.ColumnNames(#"Removed Columns")),"Category"}}),
#"Unpivot" = Table.UnpivotOtherColumns(#"Renamed Columns",{"Category"},"Type","Value"),
#"Value to Number" = Table.TransformColumns(#"Unpivot",{"Value", each Number.From(_)})
in
#"Value to Number",
type table[Category=text, Type=text, Value=number]}
}),
#"Expanded UNPivot" = Table.ExpandTableColumn(#"Grouped Rows", "UNPivot", {"Category", "Type", "Value"})
in
#"Expanded UNPivot"
Thanks @ronrsnfld . This worked. I need to learn this part.
#"Grouped Rows" = Table.Group(#"Filled Down", {"Day"}, {
{"UNPivot", (t)=>
let
#"Promote Headers" = Table.PromoteHeaders(t),
#"Removed Columns" = Table.RemoveColumns(#"Promote Headers", List.Last(Table.ColumnNames(#"Promote Headers"))),
#"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{List.First(Table.ColumnNames(#"Removed Columns")),"Category"}}),
#"Unpivot" = Table.UnpivotOtherColumns(#"Renamed Columns",{"Category"},"Type","Value"),
#"Value to Number" = Table.TransformColumns(#"Unpivot",{"Value", each Number.From(_)})
in
#"Value to Number",
type table[Category=text, Type=text, Value=number]}
}),Regards.
If you set up a data sample with just a single day, so you don't have to put those steps within a Table.Group aggregaion, those are the steps (after the #"Filled Down") that would unpivot the single day. It may be easier to follow that way.
Try this:
It works on your sample
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("bY0rDoAwEESv0qxGMOUvoT0DpqmowGER3J6diq1BvGYy3cxLSWJ5HaSTs9zP5XZLh6UguUvCH955ZagNL0ZlUubaBE2Lsipbbbjuf9aDpdjWez50wJsANIAKNAcoAS1QTf4A", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{
{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type text}}),
//Add column to group by dates
#"Added Custom" = Table.AddColumn(#"Changed Type", "Day", each if Text.StartsWith([Column1],"Day") then [Column1] else null, type nullable text),
#"Filled Down" = Table.FillDown(#"Added Custom",{"Day"}),
//Unpivot each subgroup
#"Grouped Rows" = Table.Group(#"Filled Down", {"Day"}, {
{"UNPivot", (t)=>
let
#"Promote Headers" = Table.PromoteHeaders(t),
#"Removed Columns" = Table.RemoveColumns(#"Promote Headers", List.Last(Table.ColumnNames(#"Promote Headers"))),
#"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{List.First(Table.ColumnNames(#"Removed Columns")),"Category"}}),
#"Unpivot" = Table.UnpivotOtherColumns(#"Renamed Columns",{"Category"},"Type","Value"),
#"Value to Number" = Table.TransformColumns(#"Unpivot",{"Value", each Number.From(_)})
in
#"Value to Number",
type table[Category=text, Type=text, Value=number]}
}),
#"Expanded UNPivot" = Table.ExpandTableColumn(#"Grouped Rows", "UNPivot", {"Category", "Type", "Value"})
in
#"Expanded UNPivot"
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 5 | |
| 4 | |
| 4 | |
| 4 | |
| 4 |