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chandakaushik
Helper I
Helper I

Difference from previous period (in YYYYMM format)

Hello,

I have a column named PERIOD (in YYYYMM) format in both the fact and calendar tables.

Is there a way to calculate the difference between current period and previous period in the pivot?

Please see the screenshot below:

Difference between 201902 and 201901 should be 156,276 - 258,244 = (101968) and so on. I want to show the actual values and difference in columns (pivoted format).

Difference from previous period.jpg

 

Thanks in advance!

 

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@chandakaushik , better is that you create a date , as suggested by @lbendlin, and use a date calendar.

 

And create measures like this

 

MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD('Date'[Date]))
last MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD(dateadd('Date'[Date],-1,MONTH)))
last month Sales = CALCULATE(SUM(Sales[Sales Amount]),previousmonth('Date'[Date]))
last MTD (complete) Sales =  CALCULATE(SUM(Sales[Sales Amount]),DATESMTD(ENDOFMONTH(dateadd('Date'[Date],-1,MONTH))))
previous month value =  CALCULATE(sum(''Table''[total hours value]),previousmonth('Date'[Date]))

diff = [MTD Sales]-[last MTD Sales]
diff % = divide([MTD Sales]-[last MTD Sales],[last MTD Sales])

 

 

The second way is to have month year table (Your month are sortable) and create a rank. You need to have a separate table.

 

Month Rank = RANKX(all('Date'),'Date'[Month],,ASC,Dense)
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))

 

 

To get the best of the time intelligence function. Make sure you have a date calendar and it has been marked as the date in model view. Also, join it with the date column of your fact/s. Refer :
https://radacad.com/creating-calendar-table-in-power-bi-using-dax-functions

Appreciate your Kudos.

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View solution in original post

3 REPLIES 3
amitchandak
Super User
Super User

@chandakaushik , better is that you create a date , as suggested by @lbendlin, and use a date calendar.

 

And create measures like this

 

MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD('Date'[Date]))
last MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD(dateadd('Date'[Date],-1,MONTH)))
last month Sales = CALCULATE(SUM(Sales[Sales Amount]),previousmonth('Date'[Date]))
last MTD (complete) Sales =  CALCULATE(SUM(Sales[Sales Amount]),DATESMTD(ENDOFMONTH(dateadd('Date'[Date],-1,MONTH))))
previous month value =  CALCULATE(sum(''Table''[total hours value]),previousmonth('Date'[Date]))

diff = [MTD Sales]-[last MTD Sales]
diff % = divide([MTD Sales]-[last MTD Sales],[last MTD Sales])

 

 

The second way is to have month year table (Your month are sortable) and create a rank. You need to have a separate table.

 

Month Rank = RANKX(all('Date'),'Date'[Month],,ASC,Dense)
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))

 

 

To get the best of the time intelligence function. Make sure you have a date calendar and it has been marked as the date in model view. Also, join it with the date column of your fact/s. Refer :
https://radacad.com/creating-calendar-table-in-power-bi-using-dax-functions

Appreciate your Kudos.

Join us as experts from around the world come together to shape the future of data and AI!
At the Microsoft Analytics Community Conference, global leaders and influential voices are stepping up to share their knowledge and help you master the latest in Microsoft Fabric, Copilot, and Purview.
️ November 12th-14th, 2024
 Online Event
Register Here

Thank you guys, @amitchandak @lbendlin ! Appreciate your guidence and help!

lbendlin
Super User
Super User

Convert the period to a fake date 

 

DATE(YYYY,MM,1)

 

and then tie that date into the calendar table. From there you can then use the regular time intelligence functions.

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