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This is my sample dataset

I need to find anomalies from this. The term anomaly in my case is in which square id and in which time the total activity goes higher, how can I detect anomalies with the help of machine learning algorithms.

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  • $\begingroup$ How about you standardize your activity variable and look for extreme values? $\endgroup$ – user2974951 Oct 1 '18 at 6:42
  • $\begingroup$ that activity_time is from 00 to 23(24 hours of one day(2013-12-01)) $\endgroup$ – Ram Varun Oct 3 '18 at 5:55
  • $\begingroup$ It is still unclear what those data represent and what you are trying to achieve. $\endgroup$ – lcrmorin Jan 24 at 13:15

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