cancel
Showing results for 
Search instead for 
Did you mean: 
Reply
markcabantog
Helper I
Helper I

sum if sum

can any one help me to write the script i want to get the result below

markcabantog_0-1669183569450.png

 

From Date Table and Data table

markcabantog_1-1669183590265.png

markcabantog_3-1669183665749.png

 

the rule is if sum of sales per week >=15 then it's 1, then i will need to sum the week based on period. 

markcabantog_4-1669183987805.png

i got this by if( sum(sales)>=15,1,0), but i don't know how to sum it again by period

 

1 ACCEPTED SOLUTION
v-kalyj-msft
Community Support
Community Support

Hi @markcabantog ,

According to your description, here's my solution.

1.The two tables are related with Date column.

2.Create a calculated column in Data table.

WeekNo = RELATED('Date'[WeekNo])

2.Create a measure.

Measure =
VAR _T =
    ADDCOLUMNS (
        'Data',
        "Flag",
            IF (
                SUMX (
                    FILTER ( 'Data', 'Data'[WeekNo] = EARLIER ( 'Data'[WeekNo] ) ),
                    'Data'[Sales]
                ) > 15,
                1,
                0
            )
                / COUNTROWS (
                    FILTER (
                        'Data',
                        'Data'[Veg] = EARLIER ( 'Data'[Veg] )
                            && 'Data'[WeekNo] = EARLIER ( 'Data'[WeekNo] )
                    )
                )
    )
RETURN
    SUMX ( _T, [Flag] )

Get the correct result:

vkalyjmsft_0-1669276586661.png

I attach my sample below for your reference.

 

Best Regards,
Community Support Team _ kalyj

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

3 REPLIES 3
v-kalyj-msft
Community Support
Community Support

Hi @markcabantog ,

According to your description, here's my solution.

1.The two tables are related with Date column.

2.Create a calculated column in Data table.

WeekNo = RELATED('Date'[WeekNo])

2.Create a measure.

Measure =
VAR _T =
    ADDCOLUMNS (
        'Data',
        "Flag",
            IF (
                SUMX (
                    FILTER ( 'Data', 'Data'[WeekNo] = EARLIER ( 'Data'[WeekNo] ) ),
                    'Data'[Sales]
                ) > 15,
                1,
                0
            )
                / COUNTROWS (
                    FILTER (
                        'Data',
                        'Data'[Veg] = EARLIER ( 'Data'[Veg] )
                            && 'Data'[WeekNo] = EARLIER ( 'Data'[WeekNo] )
                    )
                )
    )
RETURN
    SUMX ( _T, [Flag] )

Get the correct result:

vkalyjmsft_0-1669276586661.png

I attach my sample below for your reference.

 

Best Regards,
Community Support Team _ kalyj

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

 

Samarth_18
Super User
Super User

Hi @markcabantog ,

 

You can directly write measure as below:-

 

 

Measure = IF(SUM('Table (2)'[sales])>= 15,1,0)

 

Output:-

image.png

Refer a file below:-

 

Best Regards,
Samarth

If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Connect on Linkedin

Hi @Samarth_18 , i get to this part, but i want the sum of weeks by period like this 

 

markcabantog_0-1669187770735.png

 

Helpful resources

Announcements
Carousel_PBI_Wave1

2023 Release Wave 1 Plans

Power BI release plans for 2023 release wave 1 describes all new features releasing from April 2023 through September 2023.

Power BI Summit Carousel 2

Global Power BI Training

Make sure you register today for the Power BI Summit 2023. Don't miss all of the great sessions and speakers!

BizApps LATAM 2023

Business Application LATAM Summit 2023

Join the biggest FREE Business Applications Event in LATAM this February.

Power Platform Bootcamp

Global Power Platform Bootcamp

In this bootcamp we will deep-dive into Microsoft’s Power Platform stack with hands-on sessions and labs, delivered to you by experts and community leaders.