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 nowJuly 28 - August 9 | Final Round of the Power BI Dataviz World Championships. This is your chance. Learn more
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"
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
If you love stickers, then you will definitely want to check out our community sticker challenge, Barcelona edition!
Check out the July 2026 Power BI update to learn about new features.