M-Query for given DAX query

[Anonymous]

Hi, I want to convert the given DAX query into M-Query. Please help me ! Thanks

CALCULATE(
        SUM('Table'[Values]);
        FILTER(ALLSELECTED('Table'); 'Table'[Date] <= SELECTEDVALUE('Table'[Date]))
    ) 

[v-joesh-msft · Accepted solution]

Hi @Anonymous ,

You use SELECTEDVALUE in the DAX formula, so the output of this formula will be dynamic. If the formula is converted to M-Query, the result will be static. Do you want to use the parameters in the query editing? Could you share your expected output?

If you want to create “Running Totals in Power Query”, here are two ways:

1. Reference this article: Create Running Totals in Power Query

(tbl as table, sumcolumn as text, rowindex as number) =>
let
    #"Removed Other Columns" = Table.SelectColumns(tbl,{sumcolumn, "Index"}),
    #"Filtered Rows" = Table.SelectRows(#"Removed Other Columns", each [Index] <= rowindex),
    #"Renamed Columns" = Table.RenameColumns(#"Filtered Rows",{{sumcolumn, "Temp"}}),
    #"Grouped Rows" = Table.Group(#"Renamed Columns", {}, {{"RunningTotal", each List.Sum([Temp]), type number}}),
    RunningTotal = Record.Field(#"Grouped Rows"{0},"RunningTotal")
in
    RunningTotal

let
    Source = Table,
    #"Added Custom" = Table.AddColumn(Source, "Running Total", each fnRunningTotal(Source,"Value",[Index])),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Index"})
in
    #"Removed Columns"

2. Reference this post: How to do a running Sum by group in Power Query?

(MyTable as table) as table =>
let
    Source = Table.Buffer(MyTable),
    TableType = Value.Type(Table.AddColumn(Source, "Running Sum", each null, type number)),
    Cumulative = List.Accumulate(Source[Value],{},(cumulative,cost) => cumulative & {List.Last(cumulative, 0) + cost}),
    AddedRunningSum = Table.FromColumns(Table.ToColumns(Source)&{Cumulative},TableType)
in
    AddedRunningSum

Here is a demo, please try it:

https://qiuyunus-my.sharepoint.com/:u:/g/personal/pbipro_qiuyunus_onmicrosoft_com/EZhrEYRONqpPgcv7rj...

Best Regards,

Community Support Team _ Joey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[v-joesh-msft · Accepted solution]

Hi @Anonymous ,

You use SELECTEDVALUE in the DAX formula, so the output of this formula will be dynamic. If the formula is converted to M-Query, the result will be static. Do you want to use the parameters in the query editing? Could you share your expected output?

If you want to create “Running Totals in Power Query”, here are two ways:

1. Reference this article: Create Running Totals in Power Query

(tbl as table, sumcolumn as text, rowindex as number) =>
let
    #"Removed Other Columns" = Table.SelectColumns(tbl,{sumcolumn, "Index"}),
    #"Filtered Rows" = Table.SelectRows(#"Removed Other Columns", each [Index] <= rowindex),
    #"Renamed Columns" = Table.RenameColumns(#"Filtered Rows",{{sumcolumn, "Temp"}}),
    #"Grouped Rows" = Table.Group(#"Renamed Columns", {}, {{"RunningTotal", each List.Sum([Temp]), type number}}),
    RunningTotal = Record.Field(#"Grouped Rows"{0},"RunningTotal")
in
    RunningTotal

let
    Source = Table,
    #"Added Custom" = Table.AddColumn(Source, "Running Total", each fnRunningTotal(Source,"Value",[Index])),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Index"})
in
    #"Removed Columns"

2. Reference this post: How to do a running Sum by group in Power Query?

(MyTable as table) as table =>
let
    Source = Table.Buffer(MyTable),
    TableType = Value.Type(Table.AddColumn(Source, "Running Sum", each null, type number)),
    Cumulative = List.Accumulate(Source[Value],{},(cumulative,cost) => cumulative & {List.Last(cumulative, 0) + cost}),
    AddedRunningSum = Table.FromColumns(Table.ToColumns(Source)&{Cumulative},TableType)
in
    AddedRunningSum

Here is a demo, please try it:

https://qiuyunus-my.sharepoint.com/:u:/g/personal/pbipro_qiuyunus_onmicrosoft_com/EZhrEYRONqpPgcv7rj...

Best Regards,

Community Support Team _ Joey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[Anonymous]

Hi, Thanks for your reply and detailed explanation. 

As you have mentioned i need dynamic solution with dates and other filters as well. 

So i guess i need to do it in the DAX only but in DAX the formula is not giving output correctly.

Following is the DAX query

LogVal = LOG(1+Sheet1[Value])

%CumVal =
CALCULATE(
(exp(sum(Sheet1[LogVal]))-1)*100,
FILTER(ALLSELECTED(Sheet1), Sheet1[Index]<=Max(Sheet1[Index])
)
)​

Following are some tables for original data and desired output and wrong output by DAX, Could you please throw some light on this how I can get correct output? Thanks

Power Bi Table
Index	Date	Groups	Attribute	Value
1	1/11/2019 0:00	A1	Score1	1
1	1/11/2019 0:00	A1	Score2	4
2	1/12/2019 0:00	A1	Score1	4
2	1/12/2019 0:00	A1	Score2	8
3	1/13/2019 0:00	A1	Score1	15
3	1/13/2019 0:00	A1	Score2	5
4	1/14/2019 0:00	B1	Score1	2
4	1/14/2019 0:00	B1	Score2	9
5	1/15/2019 0:00	B1	Score1	4
5	1/15/2019 0:00	B1	Score2	6
6	1/16/2019 0:00	C1	Score1	6
6	1/16/2019 0:00	C1	Score2	4
7	1/17/2019 0:00	C1	Score1	9
7	1/17/2019 0:00	C1	Score2	7
8	1/18/2019 0:00	C1	Score1	8
8	1/18/2019 0:00	C1	Score2	5
9	1/19/2019 0:00	C1	Score1	4
9	1/19/2019 0:00	C1	Score2	6

Desired Output is as follows, 

PowerBI is giving following wrong output

[Mariusz · Accepted solution]

Hi @Anonymous 

Please see the attached file with the solution, the file includes two Measures as below. 

Cumulative Sum of Log = 
VAR _maxIndex = MAX( 'Table'[Index] )
RETURN  
CALCULATE( 
    SUM( 'Table'[LogVal] ),
    ALLSELECTED( 'Table' ),
    VALUES( 'Table'[Groups] ),
    'Table'[Index] <= _maxIndex
)

and 

Exp(N)-1 = 
VAR _maxIndex = MAX( 'Table'[Index] )
RETURN  
CALCULATE( 
    ( EXP( SUM( 'Table'[LogVal] ) ) -1 ), 
    ALLSELECTED( 'Table' ),
    VALUES( 'Table'[Groups] ),
    'Table'[Index] <= _maxIndex
)​

Best Regards,
Mariusz

If this post helps, then please consider Accepting it as the solution.

Please feel free to connect with me.

[Anonymous]

THanks for your solution. I  have combined both of them in single query and it works.