Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Get Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
Hi PowerBI Gurus,
I need to create a column in the date tabel as per below requirements.
"The base reporting cycle, for work metrics is 21 days. This is defined by calendar week number
e.g. (R1)2020 Week 1-3[4/Jan/2020 to 24/Jan/2020] ,
(R2)2020Week 4-6[25/Jan/2020 to 14/Feb/2020],
(R3)2020Week 7-9[15/Feb/2020 to 6/Mar/2020], etc
starting at on the first Saturday and progressing through until on third Friday. this R# should be incrementtal as week goes on for instance 2020Week 10-12 should be R4 and so fourth.
this R number should reset at the end of a week cycle of a new year too.
Trick is from 1/Jan/2020 to 3/Jan/2020 belongs part to a last 21 day cycle of the year 2019.
If this does not explain well I can send you sample date tabel.
If anyone can help me with this, I really appriciate your help.
Regards
Amal Eranda
Solved! Go to Solution.
OK, @amaleranda this one is actually quite trivial, all you need is this column:
R = ROUNDUP([Sequentialish]/3,0)
Of course, getting the Sequentialish column took some WORK!!! I had to modify my Sequential quick measure here: https://community.powerbi.com/t5/Quick-Measures-Gallery/Sequential/m-p/380231#M116 to account for you special circumstances. It's not really Sequential any longer but it works for this purpose.
Anyway, this is the column:
Sequentialish =
VAR MaxWeeks = SUMMARIZE(ALL('Table'),'Table'[Year],"MaxWeek",MAX('Table'[WeekNum]))
VAR MyYear = [Year]
VAR MyStart = SUMX(FILTER(MaxWeeks,[Year]<MyYear),[MaxWeek])
VAR firstYear = CALCULATE(FIRSTNONBLANK('Table'[Year],1),ALL('Table'))
VAR __Table =
ADDCOLUMNS(
GROUPBY(
'Table',
[Year],
"__MaxWeek",MAXX(CURRENTGROUP(),[Weeknum])
),
"__Count",COUNTROWS(FILTER(ALL('Table'),'Table'[Year]=EARLIER([Year]) && 'Table'[Weeknum]=[__MaxWeek]))
)
VAR __Count = COUNTROWS(FILTER(__Table,[Year]<MyYear && [__Count] < 7))
VAR __Count2 = COUNTROWS(FILTER('Table',[Year]=MyYear && [Weeknum]=1))
VAR myNum =
IF(
MyYear=firstYear,
[WeekNum],
IF([Weeknum]>1 && __Count2 <> 7,
[Weeknum]-1,
MyStart+[Weeknum]-__Count
)
)
RETURN myNum
I have attached a PBIX file for you.
OK, @amaleranda this one is actually quite trivial, all you need is this column:
R = ROUNDUP([Sequentialish]/3,0)
Of course, getting the Sequentialish column took some WORK!!! I had to modify my Sequential quick measure here: https://community.powerbi.com/t5/Quick-Measures-Gallery/Sequential/m-p/380231#M116 to account for you special circumstances. It's not really Sequential any longer but it works for this purpose.
Anyway, this is the column:
Sequentialish =
VAR MaxWeeks = SUMMARIZE(ALL('Table'),'Table'[Year],"MaxWeek",MAX('Table'[WeekNum]))
VAR MyYear = [Year]
VAR MyStart = SUMX(FILTER(MaxWeeks,[Year]<MyYear),[MaxWeek])
VAR firstYear = CALCULATE(FIRSTNONBLANK('Table'[Year],1),ALL('Table'))
VAR __Table =
ADDCOLUMNS(
GROUPBY(
'Table',
[Year],
"__MaxWeek",MAXX(CURRENTGROUP(),[Weeknum])
),
"__Count",COUNTROWS(FILTER(ALL('Table'),'Table'[Year]=EARLIER([Year]) && 'Table'[Weeknum]=[__MaxWeek]))
)
VAR __Count = COUNTROWS(FILTER(__Table,[Year]<MyYear && [__Count] < 7))
VAR __Count2 = COUNTROWS(FILTER('Table',[Year]=MyYear && [Weeknum]=1))
VAR myNum =
IF(
MyYear=firstYear,
[WeekNum],
IF([Weeknum]>1 && __Count2 <> 7,
[Weeknum]-1,
MyStart+[Weeknum]-__Count
)
)
RETURN myNum
I have attached a PBIX file for you.
Can you explain with better example? If you are looking for Nonstandard periods, please refer
:
Hi @amaleranda
Check Greg_Deckler's pbix, if his answer really helps you, please mark it as a solution so others may find the answers to this topic quicklly.
If not, please feel free to let me know.
Best Regards
Maggie
Check out the November 2025 Power BI update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
| User | Count |
|---|---|
| 103 | |
| 80 | |
| 64 | |
| 50 | |
| 45 |