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Apologies, if the question is very broad, my knowledge of statistics is from social science background.

Recently was provided data in form of

ID 2014-01 .... 2014-12 , 2015-01...........2017-12

No. of observation points (ID) = ~2000

I would like to explore if a) there is seasonal aspect. b) certain exogenous variable can explain the variation between observation if season aspect is removed.

So far, I have read about Time-Series analysis, but it seems it is meant for single observation (i.e. I would need to average all of my Observation). Is this the only way?

Are there other techniques I should read about for such analysis?

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  • $\begingroup$ Do you mean multivariate, that is, do you have 2000 variables each observed at all those time points? That would be a multivariate time series. Search this site. $\endgroup$ – kjetil b halvorsen Dec 12 '18 at 13:06

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