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vynguyen
Frequent Visitor

How to create Calculated table?

Current table:

vynguyen_1-1715942882999.png

I want my table to look like the one below, what formula should I use?

vynguyen_2-1715942915941.png

Tks

1 ACCEPTED SOLUTION
nandic
Super User
Super User

@vynguyen 
Here is Power Query solution which you can paste in advanced editor, just use your source.
Or take step by step.

Here are steps:
1) in power query select column State > Transform > unpivot other columns

nandic_1-1715943613900.png

 


2) rename collumn "Attribute" to "Product"

nandic_2-1715943633226.png

 


3) go to Transform > Group By and add these settings:

nandic_0-1715943575047.png

 

4) Last, filter out if value = 0

nandic_3-1715943664745.png

 

Result:

nandic_4-1715943750813.png

 




let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIEYgOlWJ1oJScwS0fJCMxDlXOEyhkqxcYCAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [State = _t, #"Product 1" = _t, #"Product 2" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"State", type text}, {"Product 1", Int64.Type}, {"Product 2", Int64.Type}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"State"}, "Attribute", "Value"),
#"Renamed Columns" = Table.RenameColumns(#"Unpivoted Other Columns",{{"Attribute", "Product"}}),
#"Grouped Rows" = Table.Group(#"Renamed Columns", {"State", "Product"}, {{"Quantity", each List.Sum([Value]), type number}}),
#"Filtered Rows" = Table.SelectRows(#"Grouped Rows", each ([Quantity] <> 0))
in
#"Filtered Rows"

Cheers,
Nemanja Andic

View solution in original post

2 REPLIES 2
vynguyen
Frequent Visitor

Tks

nandic
Super User
Super User

@vynguyen 
Here is Power Query solution which you can paste in advanced editor, just use your source.
Or take step by step.

Here are steps:
1) in power query select column State > Transform > unpivot other columns

nandic_1-1715943613900.png

 


2) rename collumn "Attribute" to "Product"

nandic_2-1715943633226.png

 


3) go to Transform > Group By and add these settings:

nandic_0-1715943575047.png

 

4) Last, filter out if value = 0

nandic_3-1715943664745.png

 

Result:

nandic_4-1715943750813.png

 




let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIEYgOlWJ1oJScwS0fJCMxDlXOEyhkqxcYCAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [State = _t, #"Product 1" = _t, #"Product 2" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"State", type text}, {"Product 1", Int64.Type}, {"Product 2", Int64.Type}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"State"}, "Attribute", "Value"),
#"Renamed Columns" = Table.RenameColumns(#"Unpivoted Other Columns",{{"Attribute", "Product"}}),
#"Grouped Rows" = Table.Group(#"Renamed Columns", {"State", "Product"}, {{"Quantity", each List.Sum([Value]), type number}}),
#"Filtered Rows" = Table.SelectRows(#"Grouped Rows", each ([Quantity] <> 0))
in
#"Filtered Rows"

Cheers,
Nemanja Andic

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