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Hi all and good morning,
I have a simple calculation - easy to create using the "quick measure".
So I created the daily change in my value (OPINT_1). The problem is I'm using a Date Table which I link to my data. As the data is financial data (options) there are gaps for holidays and weekends, so my "simple measure" is Too simple and my output is a mess. I started playing with IF statements but failed 😞
The question is, how do I ignore the blank values (dates) and get a consistent time series of daily change of actual values in the data table.
Thank you for any suggestions
The Date/COMEX GOLD OPINT relationship
THE OPINT DATA
My "quick measure"
WHICH RETURNS THE TABLE BELOW (for one, random Instrument)
Solved! Go to Solution.
@BruceA02 , You can try Last Day Non Continuous
example
Last Day Non Continuous = CALCULATE([sales],filter(ALLSELECTED('Date'),'Date'[Date] =MAXX(FILTER(ALLSELECTED('Date'),'Date'[Date]<max('Date'[Date])),'Date'[Date])))
or
Last Day Non Continuous = CALCULATE([sales],filter(ALLSELECTED('Date'),'Date'[Date] =calculate( max(Sales[Sales Date]), FILTER(ALLSELECTED('Date'),'Date'[Date]<max('Date'[Date])))))
refer
Day Intelligence - Last day, last non continous day
https://medium.com/@amitchandak.1978/power-bi-day-intelligence-questions-time-intelligence-5-5-5c324...
@BruceA02 , You can try Last Day Non Continuous
example
Last Day Non Continuous = CALCULATE([sales],filter(ALLSELECTED('Date'),'Date'[Date] =MAXX(FILTER(ALLSELECTED('Date'),'Date'[Date]<max('Date'[Date])),'Date'[Date])))
or
Last Day Non Continuous = CALCULATE([sales],filter(ALLSELECTED('Date'),'Date'[Date] =calculate( max(Sales[Sales Date]), FILTER(ALLSELECTED('Date'),'Date'[Date]<max('Date'[Date])))))
refer
Day Intelligence - Last day, last non continous day
https://medium.com/@amitchandak.1978/power-bi-day-intelligence-questions-time-intelligence-5-5-5c324...
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