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## 4 Weeks over 4 Weeks

Hello everyone. Need some help with the last piece of a Measure.
The data I work with is aggregated in 4 weeks period and I need to calculate 4 Weeks over 4 Weeks. So, I created a Measure for Previous Week but the issue in here is once I'm on first 4 weeks of a year, for Previous Week I want to see values from the last 4 weeks from a last Year.
For Example, for Retail Sales Prior 4 Week for 1/29/2022 I need to see \$36,097,615.45; For 1/28/2023 - \$36,586,514,45. You can see there are blank values on those spots now.
It is a flat table, no separate Date table.
Thanks a lot for any help.

2 ACCEPTED SOLUTIONS
Super User

@Pulyk , You can use week Rank to get that

a new column in your date table

Have these new columns in Date Table, Week Rank is Important in Date/Week Table

Week Rank = RANKX('Date','Date'[Week Start date],,ASC,Dense)
OR
Week Rank = RANKX('Date','Date'[Year Week],,ASC,Dense) //YYYYWW format

then measure like

Last 4 weeks = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]>=max('Date'[Week Rank])-4 && 'Date'[Week Rank]<=max('Date'[Week Rank])))

Window function can also help

Window function Rolling, Cumulative/Running Total, WTD, MTD, QTD, YTD, FYTD: https://youtu.be/nxc_IWl-tTc

Super User
4 REPLIES 4
Super User
Frequent Visitor

Thanks a lot @Ahmedx!
Works perfectly fine.

Super User

@Pulyk , You can use week Rank to get that

a new column in your date table

Have these new columns in Date Table, Week Rank is Important in Date/Week Table

Week Rank = RANKX('Date','Date'[Week Start date],,ASC,Dense)
OR
Week Rank = RANKX('Date','Date'[Year Week],,ASC,Dense) //YYYYWW format

then measure like

Last 4 weeks = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]>=max('Date'[Week Rank])-4 && 'Date'[Week Rank]<=max('Date'[Week Rank])))

Window function can also help

Window function Rolling, Cumulative/Running Total, WTD, MTD, QTD, YTD, FYTD: https://youtu.be/nxc_IWl-tTc

Frequent Visitor

Thank you @amitchandak.
Your solution scenario works for 100% accurate as well.

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