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Redacted_VAR
Helper I
Helper I

Sum Rows Until Dynamic Value is Reached

Hi All,

 

trying to flesh out if this idea is possible, as i'm not even sure which functions to start with!

I've got a basic sales table for a single salesperson:

CompanyRevenue
Company A£1,252,445.32
Company B£984,544.44
Company C£650,433.00
Company D£321,433.55
Company E£25,120.44
Company F£19,432.00
Company G-£124,244.12

 

Total Revenue: £3,129,164.63

What i want to do is for each salesperson (who has a table as per the above) calculate 95% of their total revenue (in this case, £2,972,706.40) and then work out how many companies is needed until the sum of revenue meets or exceeds that number. so for example company A-D = £3.208,856 which exceeds that 95% number, so companies E,F & G would be moved on from that salesperson.

any suggestions of how i could acheive this would be greatly appreciated. 

2 ACCEPTED SOLUTIONS
ryan_mayu
Super User
Super User

@Redacted_VAR 

maybe you can try this

Column = sumx(FILTER('Table','Table'[Company]<=EARLIER('Table'[Company])),'Table'[Revenue])/sum('Table'[Revenue])
 
Column 2 = if(ISBLANK(MINX(FILTER('Table','Table'[Column]<EARLIER('Table'[Column])&&'Table'[Column]>=0.95),'Table'[Column])),"y")
 
11.PNG
 
then sum the column2="y"
 




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View solution in original post

Anonymous
Not applicable

Hi,

Thanks for the soution @ryan_mayu  provided,it is excellent,  and i want to offer some more information for user to refer to.

hello @Redacted_VAR , you can try the following calculated column.

Sum_revenus =
VAR _addcolumns =
    ADDCOLUMNS (
        'Table',
        "Cumm_sum",
            SUMX (
                FILTER ( 'Table', [Company] <= EARLIER ( 'Table'[Company] ) ),
                [Revenue]
            )
    )
VAR _addflag =
    ADDCOLUMNS (
        _addcolumns,
        "minsum",
            VAR totalrevenue =
                SUM ( [Revenue] ) * 0.95
            VAR min_cummsum =
                MINX ( FILTER ( _addcolumns, [Cumm_sum] >= totalrevenue ), [Company] )
            RETURN
                min_cummsum
    )
RETURN
    MINX (
        FILTER (
            _addflag,
            [Company] = EARLIER ( 'Table'[Company] )
                && [Company] <= [minsum]
        ),
        [Cumm_sum]
    )

Output

vxinruzhumsft_0-1715580913447.png

Best Regards!

Yolo Zhu

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

 

View solution in original post

2 REPLIES 2
Anonymous
Not applicable

Hi,

Thanks for the soution @ryan_mayu  provided,it is excellent,  and i want to offer some more information for user to refer to.

hello @Redacted_VAR , you can try the following calculated column.

Sum_revenus =
VAR _addcolumns =
    ADDCOLUMNS (
        'Table',
        "Cumm_sum",
            SUMX (
                FILTER ( 'Table', [Company] <= EARLIER ( 'Table'[Company] ) ),
                [Revenue]
            )
    )
VAR _addflag =
    ADDCOLUMNS (
        _addcolumns,
        "minsum",
            VAR totalrevenue =
                SUM ( [Revenue] ) * 0.95
            VAR min_cummsum =
                MINX ( FILTER ( _addcolumns, [Cumm_sum] >= totalrevenue ), [Company] )
            RETURN
                min_cummsum
    )
RETURN
    MINX (
        FILTER (
            _addflag,
            [Company] = EARLIER ( 'Table'[Company] )
                && [Company] <= [minsum]
        ),
        [Cumm_sum]
    )

Output

vxinruzhumsft_0-1715580913447.png

Best Regards!

Yolo Zhu

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

 

ryan_mayu
Super User
Super User

@Redacted_VAR 

maybe you can try this

Column = sumx(FILTER('Table','Table'[Company]<=EARLIER('Table'[Company])),'Table'[Revenue])/sum('Table'[Revenue])
 
Column 2 = if(ISBLANK(MINX(FILTER('Table','Table'[Column]<EARLIER('Table'[Column])&&'Table'[Column]>=0.95),'Table'[Column])),"y")
 
11.PNG
 
then sum the column2="y"
 




Did I answer your question? Mark my post as a solution!

Proud to be a Super User!




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