Don't miss your chance to take exam DP-600 or DP-700 on us!
Request nowLearn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hi, I have data such that many values can appear mapped to one another multiple times. In the below example, cho@gmail.com is mapped to click twice.
| cho@gmail.com | click |
| hint@yahoo.com | click |
| hint@yahoo.com | view |
| cho@gmail.com | click |
I would like to add a column to the dataset using powerquery that displays the number of click actions taken by a user. It would look something like this...
cho@gmail.com | click | 2 |
| hint@yahoo.com | click | 1 |
| hint@yahoo.com | view | 1 |
| cho@gmail.com | click | 2 |
Is there any way to do this?
Solved! Go to Solution.
@Anonymous Try this:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSs7Id0jPTczM0UvOz1XSUUrOyUzOVorViVbKyMwrcahMzMjPJyxVlplaDpbBYVwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [email = _t, #"type" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"email", type text}, {"type", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"email", "type"}, {{"Count", each Table.RowCount(_), Int64.Type}, {"Table", each _, type table [email=nullable text, type=nullable text]}}),
#"Removed Columns" = Table.RemoveColumns(#"Grouped Rows",{"email", "type"}),
#"Expanded Table" = Table.ExpandTableColumn(#"Removed Columns", "Table", {"email", "type"}, {"Table.email", "Table.type"})
in
#"Expanded Table"
@Greg_Deckler is there a way to generalize the format to be applied to any table?
@Anonymous It's applicable to any table. You add an aggregation (Group By) step that groups by the columns you need it to group by. You have 2 aggregations. One is a Count of rows and one is "all rows". You end up with a table of your grouping columns along with the 2 aggregations. You then remove any columns other than the aggregation columns. Then you expand the aggregation column containing the Table.
@Anonymous Try this:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSs7Id0jPTczM0UvOz1XSUUrOyUzOVorViVbKyMwrcahMzMjPJyxVlplaDpbBYVwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [email = _t, #"type" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"email", type text}, {"type", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"email", "type"}, {{"Count", each Table.RowCount(_), Int64.Type}, {"Table", each _, type table [email=nullable text, type=nullable text]}}),
#"Removed Columns" = Table.RemoveColumns(#"Grouped Rows",{"email", "type"}),
#"Expanded Table" = Table.ExpandTableColumn(#"Removed Columns", "Table", {"email", "type"}, {"Table.email", "Table.type"})
in
#"Expanded Table"
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 55 | |
| 45 | |
| 38 | |
| 16 | |
| 14 |
| User | Count |
|---|---|
| 87 | |
| 69 | |
| 38 | |
| 29 | |
| 26 |