Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi Guys,.
I need some help with my DAX. I want to flag a record by count back days, if is the same ean, store, and stock if stock [date] = stock[previous N days].
This is a sample data:
Another example:
Could you help me please?
Best!
Solved! Go to Solution.
I think that you want something like:
Column = VAR __minDate = [date] - 2 VAR __table = FILTER(ALL('Table'),[date]<=EARLIER([date]) && [date]>=__minDate && [store]=EARLIER([store]) && [item]=EARLIER([item])) VAR __val2day = MAXX(FILTER(__table,[date]=EARLIER([date])-2),[stock qty]) VAR __val1day = MAXX(FILTER(__table,[date]=EARLIER([date])-1),[stock qty]) RETURN IF(__val2day = [stock qty] && __val1day = [stock qty],1,0)
Hi @jmolina,
If you mean mark tag of same store amount, you can try to use following calculated column formula:
Continuous Tag = VAR prev = LOOKUPVALUE ( 'Table'[STOCK], 'Table'[STORE], [STORE], 'Table'[EAN], [EAN], 'Table'[Date], [Date] - 1 ) VAR next = LOOKUPVALUE ( 'Table'[STOCK], 'Table'[STORE], [STORE], 'Table'[EAN], [EAN], 'Table'[Date], [Date] + 1 ) RETURN IF ( [STOCK] IN { prev, next }, 1, 0 )
Regards,
Xiaoxin Sheng
I'm not understanding the logic of when something is 1 or 0.
Hi,.
I need to flag (1, 0) if the stock quantity maintains static in the last 3 consecutive days, for the same item and store
i have updated my post with other example table. Thanks a lot.
Best!
I think that you want something like:
Column = VAR __minDate = [date] - 2 VAR __table = FILTER(ALL('Table'),[date]<=EARLIER([date]) && [date]>=__minDate && [store]=EARLIER([store]) && [item]=EARLIER([item])) VAR __val2day = MAXX(FILTER(__table,[date]=EARLIER([date])-2),[stock qty]) VAR __val1day = MAXX(FILTER(__table,[date]=EARLIER([date])-1),[stock qty]) RETURN IF(__val2day = [stock qty] && __val1day = [stock qty],1,0)
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
110 | |
94 | |
82 | |
66 | |
58 |
User | Count |
---|---|
151 | |
121 | |
104 | |
87 | |
67 |