Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
Hi,
I have recently found a mistake in my formula, as it doesn't filter the Footfall values since our store was opened. For example, we opened a store in late august and power bi made a calculation from the whole month, not from the opening date.
As you can see we opened the store last year on the 29th, and I would like only to count from the day it was opened, otherwise, you can see the variance between years are huge.
Currently the formula I am using for Footfall (D):
For the opening date, we have the values located in a different table:
d_StoreAuto(OpeningDate)
Any suggestion?
Thanks in advance for your support.
Solved! Go to Solution.
Hi @alexcatala ,
Please try the following formula:
Footfall (D) =
VAR BoP_Date_Fixed = [BoP Date]
VAR d_StoresAuto_Enriched =
ADDCOLUMNS (
d_StoresAuto,
"Include", MAX (
[COMP_Active] * ( [OpeningDateAniversary] <= BoP_Date_Fixed ),
[NEW_Active] * ( [OpeningDateAniversary] > BoP_Date_Fixed )
)
)
VAR d_StoresAuto_Enriched_Filtered =
FILTER ( d_StoresAuto_Enriched, [Include] = 1 )
VAR Result =
SUMX (
d_StoresAuto_Enriched_Filtered,
CALCULATE ( SUM ( 'f_DailyFootfall'[Traffic]), FILTER('d_StoresAuto','d_StoresAuto'[Date] >= 'd_StoresAuto'[OpeningDate]) )
)
RETURN
IF ( Result = 0, [ND_Sign], Result )
If the problem is still not resolved, please provide detailed error information or the expected result you expect. Let me know immediately, looking forward to your reply.
Best Regards,
Winniz
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @alexcatala ,
Has your problem been solved? If it is solved, please mark a reply which is helpful to you.
If the problem is still not resolved, please provide detailed error information or the expected result you expect. Let me know immediately, looking forward to your reply.
Best Regards,
Winniz
@alexcatala , if you are looking for life to date, then the opening date has no role. As there will be no data before.
What is data and what is the issue
Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
Hi,
The issue is I would like to start calculating the values from the opening date of the store, not before.
Is that possible?
As when we open a new store we don't only want to start calculating since the store was opened.
Here you can see the Footfall is counting(employees and maintenance) when the store wasn't opened yet.
I would like only the count/sum of the values since the opening date, not before.
@alexcatala , See if one of the two ways can help
Footfall new= if(isblank[Sales D]), Blank(), [Footfall])
or
footfall new = calculate([Footfall], filter(Date, Date[Date]>= calculate(Min(Table[Date]),allexcept(Table, Table[Store]))))
Table is table of sales
I have tried your suggestion but it didn't work
It keeps showing the value before the opening date.
Hi @alexcatala ,
Please try the following formula:
Footfall (D) =
VAR BoP_Date_Fixed = [BoP Date]
VAR d_StoresAuto_Enriched =
ADDCOLUMNS (
d_StoresAuto,
"Include", MAX (
[COMP_Active] * ( [OpeningDateAniversary] <= BoP_Date_Fixed ),
[NEW_Active] * ( [OpeningDateAniversary] > BoP_Date_Fixed )
)
)
VAR d_StoresAuto_Enriched_Filtered =
FILTER ( d_StoresAuto_Enriched, [Include] = 1 )
VAR Result =
SUMX (
d_StoresAuto_Enriched_Filtered,
CALCULATE ( SUM ( 'f_DailyFootfall'[Traffic]), FILTER('d_StoresAuto','d_StoresAuto'[Date] >= 'd_StoresAuto'[OpeningDate]) )
)
RETURN
IF ( Result = 0, [ND_Sign], Result )
If the problem is still not resolved, please provide detailed error information or the expected result you expect. Let me know immediately, looking forward to your reply.
Best Regards,
Winniz
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Check out the September 2024 Power BI update to learn about new features.
Learn from experts, get hands-on experience, and win awesome prizes.
User | Count |
---|---|
112 | |
105 | |
98 | |
38 | |
37 |
User | Count |
---|---|
152 | |
125 | |
75 | |
74 | |
63 |