Starting December 3, join live sessions with database experts and the Microsoft product team to learn just how easy it is to get started
Learn moreShape the future of the Fabric Community! Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions. Take survey.
Hi I need help with creating new rows
I need help with creating rows so everything that is in Type 2, Type 3 and Type 4 are in the new row and everything will be listed under Type 1 (final to look like below). Is it possible? Tia.
State | Product | Type 1 |
Victoria | Product A | Apple |
Victoria | Product A | Apple |
Victoria | Product A | Apple |
Victoria | Product A | Apple |
Victoria | Product A | Apple |
Victoria | Product A | Apple |
Victoria | Product A | Orange |
Victoria | Product A | Orange |
Victoria | Product A | Orange |
Victoria | Product A | Orange |
Victoria | Product A | Orange |
Victoria | Product A | Orange |
Victoria | Product B | Guava |
Victoria | Product B | Guava |
Victoria | Product B | Guava |
Victoria | Product B | Guava |
Victoria | Product B | Guava |
Victoria | Product B | Guava |
Victoria | Product B | Guava |
Victoria | Product B | Guava |
Victoria | Product B | Banana |
Victoria | Product B | Banana |
Victoria | Product B | Banana |
Victoria | Product B | Banana |
Victoria | Product B | Banana |
Victoria | Product B | Banana |
Victoria | Product B | Banana |
Victoria | Product B | Banana |
Victoria | Product B | Guava |
Victoria | Product C | Guava |
Victoria | Product C | Guava |
Victoria | Product C | Guava |
Victoria | Product C | Guava |
Victoria | Product C | Guava |
Victoria | Product B | Banana |
Victoria | Product C | Banana |
Victoria | Product C | Banana |
Victoria | Product C | Banana |
Victoria | Product C | Banana |
Victoria | Product C | Banana |
Victoria | Product B | Pineapple |
Victoria | Product C | Pineapple |
Victoria | Product C | Pineapple |
Victoria | Product C | Pineapple |
Victoria | Product C | Pineapple |
Victoria | Product C | Pineapple |
Solved! Go to Solution.
Hi @Marshmallow
You can put the following code to advanced editor in power query
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCstMVtJRCijKTylNLlFwBLIdCwpyUoG0f1FiXjqIAUKxOiNEqROQ7V6aWJYIUeGUmAeEo0pppjQgMy81ERw1mHqcR56eWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [State = _t, Product = _t, Type1 = _t, Type2 = _t, Type3 = _t, Type4 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"State", type text}, {"Product", type text}, {"Type1", type text}, {"Type2", type text}, {"Type3", type text}, {"Type4", type text}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"State", "Product"}, "Attribute", "Value"),
#"Removed Columns" = Table.RemoveColumns(#"Unpivoted Columns",{"Attribute"}),
#"Filtered Rows" = Table.SelectRows(#"Removed Columns", each ([Value] <> "")),
#"Sorted Rows" = Table.Sort(#"Filtered Rows",{{"Product", Order.Ascending}, {"Value", Order.Ascending}})
in
#"Sorted Rows"
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
=Table.CombineColumns(YourTable,List.Skip(Table.ColumnNames(YourTable),2),Text.Combine,"Type1")
Select both State and Product Columns --> Right Click --> Unpivot Other Columns
Hi @Marshmallow
You can put the following code to advanced editor in power query
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCstMVtJRCijKTylNLlFwBLIdCwpyUoG0f1FiXjqIAUKxOiNEqROQ7V6aWJYIUeGUmAeEo0pppjQgMy81ERw1mHqcR56eWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [State = _t, Product = _t, Type1 = _t, Type2 = _t, Type3 = _t, Type4 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"State", type text}, {"Product", type text}, {"Type1", type text}, {"Type2", type text}, {"Type3", type text}, {"Type4", type text}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"State", "Product"}, "Attribute", "Value"),
#"Removed Columns" = Table.RemoveColumns(#"Unpivoted Columns",{"Attribute"}),
#"Filtered Rows" = Table.SelectRows(#"Removed Columns", each ([Value] <> "")),
#"Sorted Rows" = Table.Sort(#"Filtered Rows",{{"Product", Order.Ascending}, {"Value", Order.Ascending}})
in
#"Sorted Rows"
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
User | Count |
---|---|
24 | |
13 | |
11 | |
10 | |
7 |
User | Count |
---|---|
43 | |
26 | |
21 | |
16 | |
12 |