Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hi,
I need help in creating DAX.
I have an requirement to work on Incremental Margin which is cumulative of Margin and want to plot difference of incremental margin.
I need that Incremental Margin for 2022 should subtract the 2021 Incremental Margin from the comparable week. E.g., For week of Jan 3, 2022, we need to calculate the week’s total incremental margin and then subtract the incremental margin from week of Jan 4, 2021.
below is the DAX which is used to create measure to calculate cumulative of Incremental Margin
@apatwal , You need have column like these in you date tbale, along with year and week
new columns
Week Start date = 'Date'[Date]+-1*WEEKDAY('Date'[Date],2)+1
Week End date = 'Date'[Date]+ 7-1*WEEKDAY('Date'[Date],2)
Week Rank = RANKX(all('Date'),'Date'[Week Start date],,ASC,Dense)
OR
Week Rank = RANKX(all('Date'),'Date'[Year Week],,ASC,Dense) //YYYYWW format
Then you can have week measures like
This Week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])))
Last Week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])-1))
Last year Week= CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=(max('Date'[Week Rank]) -52)))
or
Last year Week= CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=(max('Date'[Week Rank]) -53)))
or
This week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Year]=max('Date'[Year]) && 'Date'[Week] = Max('Date'[Week]) ))
Last year same week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Year]=max('Date'[Year])-1 && 'Date'[Week] = Max('Date'[Week])))
Hi @amitchandak
Thanks for your reply!
Just to inform we don't have separate date table, date column is included in our dataset and we have millions of records in our dataset.
@apatwal , Try like
example
week Year behind Sales = CALCULATE(SUM(Sales[Sales Amount]),dateadd('Sales'[Date],-364,DAY))
or
This week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Table'),'Table'[Year]=max('Table'[Year]) && 'Table'[Week] = Max('Table'[Week]) ))
Last year same week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Table'),'Table'[Year]=max('Table'[Year])-1 && 'Table'[Week] = Max('Table'[Week])))
But My advice would be to get a date table added to the model. Things would be easy
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 |
---|---|
10 | |
10 | |
10 | |
9 | |
7 |
User | Count |
---|---|
17 | |
12 | |
11 | |
11 | |
10 |