Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hello everyone,
need some help, have this table:
| X2 | DUMMY_1 | DUMMY_2 | DUMMY_3 | X4 | X5 | |
| ID | 12334 | 1 | 1 | 0 | 1234 | 45566 |
| ID2 | 1233 | 1 | 0 | 1 | 125 | 123 |
| ID4 | 564 | 0 | 0 | 1 | 123 | 1231 |
| ID5 | 67878 | 1 | 0 | 1 | 13 | 1222 |
And I want to make a table like this
| SUM | |
| DUMMY_1 | 3 |
| DUMMY_3 | 1 |
| DUMMY_3 | 3 |
Let me know if you need further information.
Thanks in advance
@Cognos Use Power Query for this kind of transformation:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("XYwxDoAgDEWvYjoz2EILB2BxYDTREOL9byGVRoxDf35eX1srLODgoB55L+W88G2TeVWCBkNzFbbcO5L3ytBmHUxRYBYxk0z9Wg/isTBNz1iCGdPyI9E0PZKYYvq/Gx4RtHYD", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).1" = _t, #"(blank).2" = _t, #"(blank).3" = _t, #"(blank).4" = _t, #"(blank).5" = _t, #"(blank).6" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"(blank)", type text}, {"(blank).1", type text}, {"(blank).2", type text}, {"(blank).3", type text}, {"(blank).4", type text}, {"(blank).5", type text}, {"(blank).6", type text}}),
#"Removed Other Columns" = Table.SelectColumns(#"Changed Type",{"(blank)", "(blank).2", "(blank).3", "(blank).4"}),
#"Promoted Headers" = Table.PromoteHeaders(#"Removed Other Columns", [PromoteAllScalars=true]),
#"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{" ", type text}, {"DUMMY_1", Int64.Type}, {"DUMMY_2", Int64.Type}, {"DUMMY_3", Int64.Type}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type1", {" "}, "Attribute", "Value"),
#"Removed Columns" = Table.RemoveColumns(#"Unpivoted Other Columns",{" "}),
#"Grouped Rows" = Table.Group(#"Removed Columns", {"Attribute"}, {{"Count", each List.Sum([Value]), type number}})
in
#"Grouped Rows"
Hi @Cognos ,
-Transform the table in the Power query:
-Unpivot the three DUMMY columns
-Close and Apply
-Take a table visual
-Pull the new columns in it.
Mark this as solution. if I answered your que. Kudos are always appreciated.
Thanks.
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
Check out the November 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 20 | |
| 10 | |
| 9 | |
| 4 | |
| 4 |
| User | Count |
|---|---|
| 34 | |
| 32 | |
| 20 | |
| 12 | |
| 11 |