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Hello I have a list of stores with their avg. call volume per interval and a respective threshold for that store. I'm trying to pull consecutive intervals that are at or above the threshold. For Example - Store 3721 the intervals that were over the threshold of 5.7 was during the intervals of 8:00:00AM-5:30:00PM and 8:30:00PM-9:30:00PM. Some stores may only have one length of consecutive intervals others may have numerous. Please see desired result below.
Store | 8:00:00 AM | 8:30:00 AM | 9:00:00 AM | 9:30:00 AM | 10:00:00 AM | 10:30:00 AM | 11:00:00 AM | 11:30:00 AM | 12:00:00 PM | 12:30:00 PM | 1:00:00 PM | 1:30:00 PM | 2:00:00 PM | 2:30:00 PM | 3:00:00 PM | 3:30:00 PM | 4:00:00 PM | 4:30:00 PM | 5:00:00 PM | 5:30:00 PM | 6:00:00 PM | 6:30:00 PM | 7:00:00 PM | 7:30:00 PM | 8:00:00 PM | 8:30:00 PM | 9:00:00 PM | 9:30:00 PM | 10:00:00 PM | 10:30:00 PM | 11:00:00 PM | 11:30:00 PM | Threshold | Desired Result |
3721 | 7.5 | 9.8 | 9.4 | 10.2 | 9.9 | 9.7 | 9.6 | 8.2 | 8.4 | 9.4 | 9.0 | 8.9 | 8.9 | 7.8 | 8.2 | 7.9 | 7.2 | 6.3 | 7.2 | 7.5 | 5.1 | 4.1 | 3.9 | 3.5 | 3.6 | 6.0 | 6.1 | 6.2 | 2.0 | 1.7 | 1.4 | 1.2 | 5.7 | 8:00:00AM-5:30:00PM; 8:30:00PM-9:30:00PM |
6071 | 9.4 | 12.3 | 10.5 | 12.1 | 10.6 | 11.5 | 11.1 | 9.0 | 9.2 | 8.5 | 10.0 | 9.8 | 9.5 | 9.3 | 9.3 | 8.0 | 8.0 | 6.8 | 6.3 | 6.0 | 4.3 | 3.8 | 3.1 | 2.7 | 2.2 | 2.1 | 6.8 | 10.0 | 1.8 | 1.3 | 1.8 | 1.2 | 6.1 | 8:00:00AM-5:00:00PM; 9:00:00PM-9:30:00PM |
7177 | 18.5 | 22.9 | 22.6 | 21.2 | 19.9 | 19.4 | 18.7 | 16.4 | 16.2 | 18.3 | 17.0 | 15.9 | 14.3 | 15.2 | 14.9 | 14.2 | 13.8 | 11.9 | 11.5 | 11.1 | 6.2 | 4.7 | 4.6 | 3.8 | 10.0 | 3.1 | 3.4 | 2.7 | 2.3 | 2.2 | 1.6 | 1.4 | 9.9 | 8:00:00AM-5:30:00PM; 8:00:00PM |
15495 | 13.5 | 15.5 | 14.6 | 14.0 | 12.7 | 13.4 | 11.2 | 10.8 | 9.6 | 6.8 | 8.7 | 9.8 | 9.6 | 9.2 | 8.3 | 7.9 | 8.5 | 6.5 | 5.1 | 4.6 | 2.6 | 2.4 | 0.7 | 9.6 | 8:00:00AM-12:00:00PM; 1:30:00PM-2:00:00PM | |||||||||
12300 | 5.5 | 6.1 | 10.7 | 12.6 | 12.6 | 12.1 | 10.4 | 10.3 | 11.3 | 10.8 | 9.6 | 9.9 | 8.9 | 9.8 | 10.3 | 9.7 | 8.6 | 8.9 | 7.8 | 7.1 | 6.7 | 6.6 | 3.5 | 3.4 | 3.2 | 2.3 | 2.3 | 1.7 | 1.4 | 1.5 | 1.6 | 1.4 | 6.4 | 9:00:00AM-6:30:00PM |
It took some work to get your desired results. The sample data you provided needed to be un-pivot first to get sequential rows. I have also added a Date column because you may need to do this for different dated as well. First I added a Group ID column in Power Query because this cannot be done in DAX to identify groups of consecutive start/end times for each store id and date/time. Once that is done, I created a DAX column "TimePeriodsConcatenated".
See my work files in shared drive.
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