Join us for an expert-led overview of the tools and concepts you'll need to pass exam PL-300. The first session starts on June 11th. See you there!
Get registeredPower BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.
Hi ,
I have a data of showing day wise incidents (ticket). We are maintaining this things in excel sheet. My Requirement is to show the last weeks data (not last 7 days).
Can someone help how do we write the formula to get the last week data. Day begins from Mon to Sun.
Thanks,
Sudharshan
Solved! Go to Solution.
Hi @Sudharshan1919 ,
If you just want to compare data from the same year:
Measure =
CALCULATE (
SUM ( 'table'[value] ),
FILTER (
ALLSELECTED ( 'table' ),
YEAR ( 'table'[date] ) = YEAR ( MAX ( 'table'[date] ) )
&& WEEKNUM ( 'table'[date], 2 ) = WEEKNUM ( MAX ( 'table'[date] ), 2 )
)
)
If you just want to compare data across years, you will need to create a year_week column then create a rank column based on it.
year_week = YEAR('table'[date])*100+WEEKNUM('table'[date],2)
_rank = RANKX('table','table'[year_week],,ASC,Dense)
Measure =
CALCULATE (
SUM ( 'table'[value] ),
FILTER ( ALLSELECTED ( 'table' ), 'table'[_rank] = MAX ( 'table'[_rank] ) - 1 )
)
Best Regards,
Jay
Hi @Sudharshan1919 ,
If you just want to compare data from the same year:
Measure =
CALCULATE (
SUM ( 'table'[value] ),
FILTER (
ALLSELECTED ( 'table' ),
YEAR ( 'table'[date] ) = YEAR ( MAX ( 'table'[date] ) )
&& WEEKNUM ( 'table'[date], 2 ) = WEEKNUM ( MAX ( 'table'[date] ), 2 )
)
)
If you just want to compare data across years, you will need to create a year_week column then create a rank column based on it.
year_week = YEAR('table'[date])*100+WEEKNUM('table'[date],2)
_rank = RANKX('table','table'[year_week],,ASC,Dense)
Measure =
CALCULATE (
SUM ( 'table'[value] ),
FILTER ( ALLSELECTED ( 'table' ), 'table'[_rank] = MAX ( 'table'[_rank] ) - 1 )
)
Best Regards,
Jay
@Sudharshan1919 This is easiest if you create a Sequential week column. Then you don't have to worry about years and years having 52 or 53 weeks in them.
Sequential - Microsoft Power BI Community
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
16 | |
13 | |
12 | |
11 | |
11 |
User | Count |
---|---|
19 | |
14 | |
14 | |
11 | |
9 |