I have a dataset for weekly number of calls to a call center for three years.The data is seasonal (I know this from practitioners knowledge) which means that calls normally come on summer and winter. However, without having practitioners knowledge, how can I check if my data is intermittent or this is seasonality which is impacting zeros for specific time intervals. Is there anyway in R that I can do that? The reason is that I need to do further analysis on those parts of the data which are not zero and I need to classify my data to in-season and off-season. Any help is appreciated.
You can decompose (STL decomposition) you time series into trend, seasonal and remainder using "forecast" package. See example and explanation in the amaizing online book by Rob J Hyndman and George Athanasopoulos, who are also the authors of the package. Once decomposed, you can analyze trend or remainder or both.