This is an example of a time series with seasonality. The data shows a repeating pattern over time, with the values tending to be higher in the middle of the sequence and lower at the beginning and end. This seasonal pattern could be due to various factors, such as yearly cycles, quarterly trends, or even daily fluctuations.

This data demonstrates a clear yearly seasonal pattern, with values increasing in the summer months and decreasing in the winter months.