Join us for an expert-led overview of the tools and concepts you'll need to pass exam PL-300. The first session starts on June 11th. See you there!
Get registeredPower BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.
"How i can calculate new dealer count
new dealer condition is simple a dealer present in current month and sale some item but not present just one month before and not sale any item
I have this type of data Table - Cube invoice,in which dealer and sales are respectively"
date | month | monthno | dealer | sales |
01-01-22 | jan | 1 | a,b,c,d | 10,020,20,300, |
02-02-22 | feb | 2 | a,b,c,d,e,f | 10,20,30,25,05,30 |
01-03-22 | march | 3 | g,h,i,j,a,b,c | 11,12,15,14,18,151,15 |
I want this kind measure which can give me value if i select feb month in calender slicer it gives me return value 2 beacause there is 2 new dealer that is e & f similarly
march give - 4
Solved! Go to Solution.
Hi,
Thank you for your feedback.
I do not know how your desired visualization looks like, but please check the below picture and the attached pbix file whether it suits your requirement.
New dealer count: =
VAR _currentmonthdealerlist =
SUMMARIZE ( Data, Dealer[dealer] )
VAR _prevmonthsdealierlist =
CALCULATETABLE (
SUMMARIZE ( Data, Dealer[dealer] ),
WINDOW (
1,
ABS,
-1,
REL,
ALL ( 'Calendar'[Month-Year sort], 'Calendar'[Month-Year] ),
ORDERBY ( 'Calendar'[Month-Year sort] )
)
)
VAR _newdealerlist =
EXCEPT ( _currentmonthdealerlist, _prevmonthsdealierlist )
RETURN
COUNTROWS ( _newdealerlist )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Schedule a short Teams meeting to discuss your question
Hi,
I am not sure how your datamodel looks like, but I tried to create a sample pbix file like below.
I transformed the fact table like below in Power Query Editor.
Please check the below picture and the attached pbix file.
I hope the below can provide some ideas on how to create a solution for your datamodel.
New dealer count: =
VAR _currentmonthdealerlist =
SUMMARIZE ( Data, Dealer[dealer] )
VAR _prevmonthdealierlist =
CALCULATETABLE (
SUMMARIZE ( Data, Dealer[dealer] ),
DATEADD ( 'Calendar'[Date], -1, MONTH )
)
VAR _newdealerlist =
EXCEPT ( _currentmonthdealerlist, _prevmonthdealierlist )
RETURN
COUNTROWS ( _newdealerlist )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Schedule a short Teams meeting to discuss your question
THANK YOU SIR FOR VALUEABLE SUGGESTION BUT,
this measure gives me blank value
Sorry to say that ,i forgot the main condition which is that new dealer is only considerd when he have sale any particular month which i select ,this measure only gives the value which dealer were not on previous month
Hi,
Thank you for your feedback.
I do not know how your desired visualization looks like, but please check the below picture and the attached pbix file whether it suits your requirement.
New dealer count: =
VAR _currentmonthdealerlist =
SUMMARIZE ( Data, Dealer[dealer] )
VAR _prevmonthsdealierlist =
CALCULATETABLE (
SUMMARIZE ( Data, Dealer[dealer] ),
WINDOW (
1,
ABS,
-1,
REL,
ALL ( 'Calendar'[Month-Year sort], 'Calendar'[Month-Year] ),
ORDERBY ( 'Calendar'[Month-Year sort] )
)
)
VAR _newdealerlist =
EXCEPT ( _currentmonthdealerlist, _prevmonthsdealierlist )
RETURN
COUNTROWS ( _newdealerlist )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Schedule a short Teams meeting to discuss your question
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 |
---|---|
15 | |
10 | |
10 | |
10 | |
10 |
User | Count |
---|---|
19 | |
14 | |
13 | |
11 | |
8 |