Finding trends and seasonality. Which algorithm to use?
I'm interested in whether there are any specific algorithms for finding seasonal trends in data?
I have a dataset that contains information on the clothing categories, the date and how much search queries of this product were conducted on that day. So I want to figure seasonal trends. Like, searches for knitted hat are higher in winter and the lowest in summer and so on.
Considering working with time series data one of the good approaches is using Holt-Winter's seasonal method. This algorithm is implemented in Facebook's Prophet library (link https://facebook.github.io/prophet/docs/quick_start.html#r-api). With its help, you can conduct exploratory data analysis and get trend, yearly and weekly, seasonality, etc.