Restricted sum by day for opening time calculation

[LEPR]

Hi everyone,

First time I couldn't find the answer directly on the forum, I will need the help of the community on this one !

I am working with data coming from multiple files that I merge in PBI.

At the end, my data looks like this : 

Day	Time	Status	Duration
Day 1	8:00	A	54
Day 1	8:54	B	80
Day 1	10:14	A	200
Day 1	13:34	A	...
Day 1	15:55	B
Day 2	8:05	A
Day 2	...	A
Day 2		B
Day 2	16:15	B
Day 3	7:55	A
Day 3		A
Day 3		B
Day 3		B
Day 3		B
Day 3	17:10	A

I am trying to calculate the sum of the opening time of each day, so the difference between the minimum hour of the day (8:00 on day 1 for example), and the maximum hour of the day (15:55 for day 1 for example).

So I can easily make it work with MAX(Time)-MIN(Time) for a specific Day, but when I want to do it for multiple days I can't figure it out. I need to exclude the closed time inbetween the days, like between 15.55 on day 1 and 8.05 on day 2. 

Between day 1 and day 2, the result will have to be 7:55 + 8:10 = 16:05 of opening time. But with the min max function, I will get 40:15 ... So i need to restrict it by day somehow.

Thanks for helping out,

[Ashish_Mathur]

Hi,

Clearly show the result you are expecting.  Also, if you have a Date column, share that as well.

[v-tangjie-msft · Accepted solution]

Hi @LEPR ,

According to your description, here are my steps you can follow as a solution.

(1) My test data is the same as yours.

(2) We can create two measures. 

open time = 
var _min =MINX(FILTER(ALL('Table'),'Table'[Day]=MAX('Table'[Day])),'Table'[Time])
var _max=MAXX(FILTER(ALL('Table'),'Table'[Day]=MAX('Table'[Day])),'Table'[Time])
return _max-_min

sum = SUMX(ALLSELECTED('Table'[Day]),'Table'[open time])

(3) Then the result is as follows.

If the above one can't help you get the desired result, please provide some sample data in your tables (exclude sensitive data) with Text format and your expected result with backend logic and special examples. It is better if you can share a simplified pbix file. Thank you.

Best Regards,

Neeko Tang

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