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I have two data sets
data set 1
MAC Address
RSSI
Date_Time (can replace with Time)
Dataset 2 (GPS Data)
latitude
longitude
Time
for Data set 1, considering the Mac address as a person or individual, I need to find the Mac Addresses which are repeating and number of times it is repeating.
For Dataset 1, many mac addresses are repeating at different time, I want to calculate the time difference that mac address is spotted for first time and the same mac address that is spotted at last time.
Fot data set 1 and 2, I want to map the coordinates and check the landmarks on the route without zooming to check which area is busy and how many mac address are spotted at that time and at place.
I can provide data sets as well. if you are interested.
Solved! Go to Solution.
Hi @akheel312
You may create the time difference measure and use 'count' for time as below.Link the two dataset tables with time column and choose 'count ' for the mac address.
time difference = VAR first_time = CALCULATE ( MIN ( 'Dataset 1'[Time] ), ALLEXCEPT ( 'Dataset 1', 'Dataset 1'[MAC Address] ) ) VAR last_time = CALCULATE ( MAX ( 'Dataset 1'[Time] ), ALLEXCEPT ( 'Dataset 1', 'Dataset 1'[MAC Address] ) ) RETURN last_time - first_time
Regards,
Hi @akheel312
You may create the time difference measure and use 'count' for time as below.Link the two dataset tables with time column and choose 'count ' for the mac address.
time difference = VAR first_time = CALCULATE ( MIN ( 'Dataset 1'[Time] ), ALLEXCEPT ( 'Dataset 1', 'Dataset 1'[MAC Address] ) ) VAR last_time = CALCULATE ( MAX ( 'Dataset 1'[Time] ), ALLEXCEPT ( 'Dataset 1', 'Dataset 1'[MAC Address] ) ) RETURN last_time - first_time
Regards,
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