Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowData Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more
Hi Gents,
Need your support with the following:
I have this table
| Type | P01 | P.. | P12 | ||
| CountryX | Sales | Coffee | |||
| CountryX | Sales Margin | Coffee | |||
| CountryX | Sales | Tea | |||
| CountryX | Sales Margin | Tea |
I Want to do the following:
Calculate Q1 Sales = P01+P02+P03
Calculate Q1 Sales Margin = P01+P02+P03
.
same until Q4
I thought of Unpivotting P01-P12 but then what?
I want to have a stacked graph where I can display 2 bars, one for sales and one for sales margin next to each others while the x-axis is the quarter.
And then create another stacked column to display the sales and sales margin while the X axis is the Type
Thanks
Solved! Go to Solution.
Hi, @abukapsoun , how about calculating number of quarter after unpivoting P01-P12. The sales data then is tranformed to a one-dimensional table. A pbix file is attached for your reference.
| Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
@abukapsoun , First of unpivot the table. Then Create Period table With Period and Qtr , if you have the year you can add that. Or Create a year period table. Create period rank if needed qtr rank .
new column in period table
Qtr = Switch (true(),
[period] in {"P01","P02","P03"}, "1",
[period] in {"P04","P05","P06"}, "2"
///keep on adding
}
Here Date is your period table
Month Rank = RANKX(all('Date'),'Date'[Period],,ASC,Dense) // period or year -period
This Month = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Month Rank]=max('Date'[Month Rank])))
Last Month = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Month Rank]=max('Date'[Month Rank])-1))
Last year Month= CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Month Rank]=(max('Date'[Month Rank]) -12)))
Qtr or Qtr Rank
Qtr Rank = RANKX(all('Date'),'Date'[Qtr],,ASC,Dense) //on Qtr or Year - Qtr
This Qtr = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Qtr Rank]=max('Date'[Qtr Rank])))
Last Qtr = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Qtr Rank]=max('Date'[Qtr Rank])-1))
Hi, @abukapsoun , how about calculating number of quarter after unpivoting P01-P12. The sales data then is tranformed to a one-dimensional table. A pbix file is attached for your reference.
| Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 23 | |
| 23 | |
| 20 | |
| 18 | |
| 14 |
| User | Count |
|---|---|
| 58 | |
| 51 | |
| 40 | |
| 30 | |
| 24 |