Hello
I am currently sitting with at dataset of incomming calls for a call center. But we cannot get the right distribution for the incoming calls, that somewhat matches our data. We have tried to make Random.Poisson, but the result is not close to the real numbers in the data set. Our method so far has been to use statfit 3 to calculate a discrete distribution for the incoming calls interarrival time, but this does still not seem to work.
Moreover, the data seem to show no correlation between waiting time, inbound time, duration and the date.
TLDR: We do not know how to convert the data shown into a distribution for the source. Moreover, the distribution of calls throughout each day differ significantly.
Any tips would be very helpfull
