Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
I have a table with sorted records by Category and Date.
I know how to group and index by Category but simply need a power query code that inserts a column that gets the running maximum per group so the results will be as such.
Thanks for your help.
Solved! Go to Solution.
@Transho
Apart from, Aliensx solution,
You can also achieve your result by using List.Accumulate function.. Below is the code
let
Source = Table,
ConvertingGroupingList = Table.Group(
Source,{"Category"},{"AllRows",each _}
)[AllRows],
Result = Table.Combine(
List.Transform(
ConvertingGroupingList,(x) =>
Table.FromColumns(
Table.ToColumns(x) &
{List.Select(
List.Accumulate(
x[Value],
{0},
(s,c) => s & {if List.Last(s) < c then c else List.Last(s) }
),each _ <>0 )}, Table.ColumnNames(Source) & {"Running Max"}
) ) )
in
Result
Also, you can use List.FirstN function for achieveing the result.. Please note List.FirstN is very slow function and you may face performance issue if you are delaing with large dataset.You can use List.Buffer to speed up the performance but, List.Generate and List.Accumulate always preferable. Below is the List.FirstN code
let
Source = Table,
Result = Table.Combine(
Table.Group(
Table,{"Category"},{"AllRows", each
let
IndexAdded = Table.AddIndexColumn(_,"Index",1,1),
MaxColumnAdded = Table.AddColumn(IndexAdded,"Running Max", each List.Max( List.FirstN(
List.Buffer(
IndexAdded[Value] ),[Index])) )
in
MaxColumnAdded
}
)[AllRows]
)[[Date],[Category],[Value],[Running Max]]
in
Result
Attaching pbix file for your reference where you will find both solution.
Hope this will help you.
Regards,
sanalytics
@Transho
Apart from, Aliensx solution,
You can also achieve your result by using List.Accumulate function.. Below is the code
let
Source = Table,
ConvertingGroupingList = Table.Group(
Source,{"Category"},{"AllRows",each _}
)[AllRows],
Result = Table.Combine(
List.Transform(
ConvertingGroupingList,(x) =>
Table.FromColumns(
Table.ToColumns(x) &
{List.Select(
List.Accumulate(
x[Value],
{0},
(s,c) => s & {if List.Last(s) < c then c else List.Last(s) }
),each _ <>0 )}, Table.ColumnNames(Source) & {"Running Max"}
) ) )
in
Result
Also, you can use List.FirstN function for achieveing the result.. Please note List.FirstN is very slow function and you may face performance issue if you are delaing with large dataset.You can use List.Buffer to speed up the performance but, List.Generate and List.Accumulate always preferable. Below is the List.FirstN code
let
Source = Table,
Result = Table.Combine(
Table.Group(
Table,{"Category"},{"AllRows", each
let
IndexAdded = Table.AddIndexColumn(_,"Index",1,1),
MaxColumnAdded = Table.AddColumn(IndexAdded,"Running Max", each List.Max( List.FirstN(
List.Buffer(
IndexAdded[Value] ),[Index])) )
in
MaxColumnAdded
}
)[AllRows]
)[[Date],[Category],[Value],[Running Max]]
in
Result
Attaching pbix file for your reference where you will find both solution.
Hope this will help you.
Regards,
sanalytics
Hi,
I used the List.Accumulate statement out of your code and it worked like a charm, but i added an additional step to read only one list of the generated lists at every record.
Thanks.
let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
rows = List.Buffer(Table.ToList(Source, each _)),
iterate = List.Generate(
() => [i = 0, r = rows{0}, max = r{2}],
(x) => x[i] < List.Count(rows),
(x) => [
i = x[i] + 1,
r = rows{i},
max = if r{1} <> x[r]{1} or r{2} > x[max] then r{2} else x[max]
],
(x) => x[r] & {x[max]}
),
tbl = Table.FromList(iterate, each _, Table.ColumnNames(Source) & {"Running Max"})
in
tbl
Hi,
Thanks for your answer and the solution you have provided.
I used to write such codes in SAS but since i am new to power query, this code is a bit complicatd to understand.
During my investigation, i realized that if i grouped then indexed each group, i will be able to use the
List.Accumulate function with an iterator statement.
But i got stuck in outputing all the records per table.
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 5 | |
| 3 | |
| 3 | |
| 3 | |
| 3 |
| User | Count |
|---|---|
| 8 | |
| 6 | |
| 5 | |
| 5 | |
| 4 |