Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowData Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more
Hi, I am trying to add a new column to my query that will give me for each row, the count of transactions that occurred for an account for a specific year. In my example account A had two transactions in 2018, so for each Account A row created in 2018 I expect to see 2, all the rest is a one.
| Id | Account Id | CreateDate | NewColumn |
| 1 | A | 2019 | 1 |
| 2 | A | 2018 | 2 |
| 3 | A | 2018 | 2 |
| 4 | B | 2019 | 1 |
| 5 | B | 2018 | 1 |
Thanks a lot!
Solved! Go to Solution.
This should be a fast solution for large tables.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXIEYiMDQ0ulWJ1oJSOEgAVYwBhdwATIcULWYooQAKqIBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Id = _t, #"Account Id" = _t, CreateDate = _t]),
#"Grouped Rows" = Table.Group(Source, {"Account Id", "CreateDate"}, {{"Count", each Table.RowCount(_), type number}}),
#"Merged Queries" = Table.NestedJoin(Source, {"Account Id", "CreateDate"}, #"Grouped Rows", {"Account Id", "CreateDate"}, "Grouped Rows", JoinKind.Inner),
#"Expanded Grouped Rows" = Table.ExpandTableColumn(#"Merged Queries", "Grouped Rows", {"Count"}, {"NewColumn"})
in
#"Expanded Grouped Rows"
Hello @ousslaraichi
If these answers to your requested helped or solved your problem, please mark them as solution.
Kudos are nice to - thanks
Have fun
Jimmy
This should be a fast solution for large tables.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXIEYiMDQ0ulWJ1oJSOEgAVYwBhdwATIcULWYooQAKqIBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Id = _t, #"Account Id" = _t, CreateDate = _t]),
#"Grouped Rows" = Table.Group(Source, {"Account Id", "CreateDate"}, {{"Count", each Table.RowCount(_), type number}}),
#"Merged Queries" = Table.NestedJoin(Source, {"Account Id", "CreateDate"}, #"Grouped Rows", {"Account Id", "CreateDate"}, "Grouped Rows", JoinKind.Inner),
#"Expanded Grouped Rows" = Table.ExpandTableColumn(#"Merged Queries", "Grouped Rows", {"Count"}, {"NewColumn"})
in
#"Expanded Grouped Rows"
Hey
Great solution @Anonymous
Jimmy
Hello
see this code example. Used RowCount and SelectRows to make the calculation
let
Quelle = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXIEYiMDQ0ulWJ1oJSOEgAVYwBhdwATIcULWYooQAKqIBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Id = _t, #"Account Id" = _t, CreateDate = _t]),
AddColumn = Table.AddColumn
(
Quelle,
"Count",
(add)=> Table.RowCount
(
Table.SelectRows
(Quelle,
each [CreateDate]= add[CreateDate] and [Account Id]= add[Account Id]
)
)
)
in
AddColumn
have fun
Jimmy
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 4 | |
| 4 | |
| 3 | |
| 2 | |
| 1 |
| User | Count |
|---|---|
| 11 | |
| 11 | |
| 5 | |
| 4 | |
| 3 |