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I'm attempting to calculate room concurrency per day, both by time interval and the max number of rooms used during that time. I've been trying to get this to work, but I can't quite get the result I'm looking for. Below is the general idea of what I'm attempting to recreate in Power BI (this is an example with random numbers/data and not a representative sample of the dataset):
Given a selected date range, calculate the number of days that an occurrence concurrently happened at X time interval in X amount of rooms, Monday-Friday. The time is 15 minute intervals from 7:00AM to 11:00PM.
I'm having trouble figuring out how to get the max number of rooms on the y axis, as well as getting the correct amount of days. My dataset has a date dimension table and the data table where all the events occurred, the names of the rooms, and the start and stop times. I have a separate table for the time intervals (that has the sort and intervals).
I can't use the room names themselves, as I don't need to know the specific room; I just need to know the max number of rooms. I tried making a separate table of just # of Rooms, but it doesn't work as expected--it just spreads the data across all the available points. To add to the complexity, each work location will have a different amount of rooms.
The only thing I have gotten to work so far is counting the intervals:
Interval Count =
CALCULATE (
DISTINCTCOUNT('Time'[Interval] ),
FILTER (
'Time',
'Time'[Time] >= MAX ( Data[START_TIME] )
&& 'Time'[Time] <= MAX ( Data[STOP_TIME] )
)
)+0
Interval Result = SUMX(Data,[Interval Count])
Originally I was using this to display room utilization and it worked fine, but I can't figure out how to expand upon this and combine it with the total occurrences on a given day, and then calculate the max number of rooms (the rooms are something like "PBI-Room1"). If I do a distinctcount, it just gives me what you would expect--the total rooms.
Thanks in advance for any help/guidance on this.
That's a standard pattern for a cross join and INTERSECT.
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