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 nowJuly 28 - August 9 | Final Round of the Power BI Dataviz World Championships. This is your chance. Learn more
Hi
I have a very simple data table with a unique perosn ID and a date stamp. What i want to do is to create a column that indicates the accumulated row count for each unique person id - i don't want to create a measure, but a column.
Below is my Data table and the other picture includes the column that i want to create. I would be very grateful if anybody would have the solution in DAX and in power query editor as well 🙂
Thx a lot in advance.
Solved! Go to Solution.
Hi @micjensen ,
In Power Query you can group the table with the All Rows operation then add an index to the nested tables:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIw1AciIwMjY6VYnWglJxxCRihCzpiqHHGowiJkjGm8MaZZWFSZIIRiAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [PersonID = _t, Date = _t]),
chgTypes = Table.TransformColumnTypes(Source,{{"PersonID", type text}, {"Date", type date}}),
sortRows = Table.Sort(chgTypes,{{"PersonID", Order.Ascending}, {"Date", Order.Ascending}}),
groupPersonID = Table.Group(sortRows, {"PersonID"}, {{"data", each _, type table [PersonID=nullable text, Date=nullable date]}}),
addNestedIndex = Table.TransformColumns(groupPersonID, {"data", each Table.AddIndexColumn(_, "Count", 1, 1)}),
expandNestedData = Table.ExpandTableColumn(addNestedIndex, "data", {"Date", "Count"}, {"Date", "Count"})
in
expandNestedData
For DAX, I would first sort your rows by [PersonID] and [Date] and add an index column IN POWER QUERY.
Then the following should work:
Count =
CALCULATE (
COUNT(yourTable[PersonID]),
ALLEXCEPT(yourTable, yourTable[PersonID]),
yourTable[Index] <= EARLIER(yourTable[Index])
)
Pete
Proud to be a Datanaut!
Hi @micjensen ,
In Power Query you can group the table with the All Rows operation then add an index to the nested tables:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIw1AciIwMjY6VYnWglJxxCRihCzpiqHHGowiJkjGm8MaZZWFSZIIRiAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [PersonID = _t, Date = _t]),
chgTypes = Table.TransformColumnTypes(Source,{{"PersonID", type text}, {"Date", type date}}),
sortRows = Table.Sort(chgTypes,{{"PersonID", Order.Ascending}, {"Date", Order.Ascending}}),
groupPersonID = Table.Group(sortRows, {"PersonID"}, {{"data", each _, type table [PersonID=nullable text, Date=nullable date]}}),
addNestedIndex = Table.TransformColumns(groupPersonID, {"data", each Table.AddIndexColumn(_, "Count", 1, 1)}),
expandNestedData = Table.ExpandTableColumn(addNestedIndex, "data", {"Date", "Count"}, {"Date", "Count"})
in
expandNestedData
For DAX, I would first sort your rows by [PersonID] and [Date] and add an index column IN POWER QUERY.
Then the following should work:
Count =
CALCULATE (
COUNT(yourTable[PersonID]),
ALLEXCEPT(yourTable, yourTable[PersonID]),
yourTable[Index] <= EARLIER(yourTable[Index])
)
Pete
Proud to be a Datanaut!
Hi Pete
Thanks a lot for your explanatory reply. Much appreciated 🙂 !!
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
If you love stickers, then you will definitely want to check out our community sticker challenge, Barcelona edition!
Check out the July 2026 Power BI update to learn about new features.