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

Try your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now

Reply
WencyREN
Frequent Visitor

Create pivot table using Power query

Spoiler
 

Dear, I have a dataset like below in PBI,  how do I create a table in Power query like the pivot table below, in which calculates the sum of sales value for each distinct product type A/B/C/D? (will need to consider adding other dimensions as well when proceeding further)

Thank you!

WencyREN_0-1653399986835.png

 

1 ACCEPTED SOLUTION
Vijay_A_Verma
Most Valuable Professional
Most Valuable Professional

Select Product column - Home menu - Group by

Under Operation, select Sum and under Column, select Sales value

See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUQpKTQGSjiCmLxCbKsXqQCQiU3Ny8stBck5Awg+ILcFyIJ57UWpqHpB2cgYS/kBsaASWc4Yb6OIGJAKA2AQu4V+UmJeeCtLtASQCgdhcKTYWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Product = _t, Color = _t, Country = _t, City = _t, #"Sales value" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Product", type text}, {"Color", type text}, {"Country", type text}, {"City", type text}, {"Sales value", Int64.Type}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"Product"}, {{"Sum of Sales value", each List.Sum([Sales value]), type nullable number}})
in
    #"Grouped Rows"

View solution in original post

1 REPLY 1
Vijay_A_Verma
Most Valuable Professional
Most Valuable Professional

Select Product column - Home menu - Group by

Under Operation, select Sum and under Column, select Sales value

See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUQpKTQGSjiCmLxCbKsXqQCQiU3Ny8stBck5Awg+ILcFyIJ57UWpqHpB2cgYS/kBsaASWc4Yb6OIGJAKA2AQu4V+UmJeeCtLtASQCgdhcKTYWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Product = _t, Color = _t, Country = _t, City = _t, #"Sales value" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Product", type text}, {"Color", type text}, {"Country", type text}, {"City", type text}, {"Sales value", Int64.Type}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"Product"}, {{"Sum of Sales value", each List.Sum([Sales value]), type nullable number}})
in
    #"Grouped Rows"

Helpful resources

Announcements
Fabric Data Days is here Carousel

Data Days 2026

Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.