Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.

Reply
NorthTexas
Regular Visitor

Multiple Groups within 1 Column Heading in Power Query

Need help in transforming excel dataset into pivot table ready format.  Original data file looks like this 

 

NorthTexas_0-1663203877440.png

Need to transform into pivot table table like this.

NorthTexas_1-1663203949483.png

 

Newer user to Power Query and struggling to get it there.  Any help would he appreciated.  Thought it would be esaeir but struggling. Thanks

1 ACCEPTED SOLUTION
AlexisOlson
Super User
Super User

You can group the products by defining a new custom column that copies the first column when the other columns are null in that row and returns null for the remaining rows that have numbers.

AlexisOlson_1-1663445944364.png

Fill down on that column to get:

AlexisOlson_2-1663445981507.png

From here, you can filter, unpivot, and pivot as needed.

 

Full sample query you can paste into the Advanced Editor of a new Blank Query to walk through the steps.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCijKTylNLjFU0lGColgdoGhOYl5eakpwQWpeClDMzMAAhQQpcUwuKU3MUYArMbe0QKOQDFLwzC0oSi0uzszPKwZKGxuAABYGksGoOkyMTU2MjbAwwJZA/GA0DPxgPGT9EAsA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Jan = _t, Feb = _t, Mar = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Jan", Int64.Type}, {"Feb", Int64.Type}, {"Mar", Int64.Type}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Product", each if {[Jan],[Feb],[Mar]} = {null,null,null} then [Column1] else null, type text),
    #"Filled Down" = Table.FillDown(#"Added Custom",{"Product"}),
    #"Filtered Rows" = Table.SelectRows(#"Filled Down", each [Column1] <> [Product]),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Filtered Rows", {"Column1", "Product"}, "Month", "Value"),
    #"Pivoted Column" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[Column1]), "Column1", "Value")
in
    #"Pivoted Column"

View solution in original post

2 REPLIES 2
AlexisOlson
Super User
Super User

You can group the products by defining a new custom column that copies the first column when the other columns are null in that row and returns null for the remaining rows that have numbers.

AlexisOlson_1-1663445944364.png

Fill down on that column to get:

AlexisOlson_2-1663445981507.png

From here, you can filter, unpivot, and pivot as needed.

 

Full sample query you can paste into the Advanced Editor of a new Blank Query to walk through the steps.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCijKTylNLjFU0lGColgdoGhOYl5eakpwQWpeClDMzMAAhQQpcUwuKU3MUYArMbe0QKOQDFLwzC0oSi0uzszPKwZKGxuAABYGksGoOkyMTU2MjbAwwJZA/GA0DPxgPGT9EAsA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Jan = _t, Feb = _t, Mar = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Jan", Int64.Type}, {"Feb", Int64.Type}, {"Mar", Int64.Type}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Product", each if {[Jan],[Feb],[Mar]} = {null,null,null} then [Column1] else null, type text),
    #"Filled Down" = Table.FillDown(#"Added Custom",{"Product"}),
    #"Filtered Rows" = Table.SelectRows(#"Filled Down", each [Column1] <> [Product]),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Filtered Rows", {"Column1", "Product"}, "Month", "Value"),
    #"Pivoted Column" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[Column1]), "Column1", "Value")
in
    #"Pivoted Column"
wdx223_Daniel
Super User
Super User

=let a=List.Skip(Table.ColumnNames(PreviousStepName)) in Table.Combine(Table.Group(PreviousStepName,a,{"n",each let t=Table.ToColumns(_) in Table.SelectColumns(#table({"Product","Month"}&List.Skip(t{0}),{List.Repeat({t{0}{0}},List.Count(t)-1),a}&List.Skip(t)),{"Product","Month","Actual Spend","Actual Impressions"})},0,(x,y)=>Byte.From(List.RemoveItems(Record.ToList(y),{null,""})={}))[n])

Helpful resources

Announcements
Microsoft Fabric Learn Together

Microsoft Fabric Learn Together

Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City

PBI_APRIL_CAROUSEL1

Power BI Monthly Update - April 2024

Check out the April 2024 Power BI update to learn about new features.

April Fabric Community Update

Fabric Community Update - April 2024

Find out what's new and trending in the Fabric Community.

Top Solution Authors
Top Kudoed Authors