Time series patterns that repeat themselves after a period of days or weeks are called Seasonality
A time series is a collection of observations of well-defined data items obtained through repeated measurements over time.
Seasonality is the presence of variations that occur at specific regular intervals less than a year, such as weekly, monthly, or quarterly
The term cycle refers to the recurrent variations in time series that in generally last longer than a year and it can be as many as 15 or 20 years.
Here, the time series patterns that repeat themselves after a period of days or weeks.
So that is called seasonality
Hence, time series patterns that repeat themselves after a period of days or weeks is called seasonality
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