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?