Seasonal Pattern

Seasonal pattern refers to a predictable fluctuation in a time series that recurs or repeats over a one-year period or less. It is a type of pattern that occurs regularly within a specific time frame, such as a day, week, month, or quarter. Seasonal patterns can be observed in various fields, including finance, economics, and meteorology. In data science, seasonal patterns are often analyzed using time series analysis techniques, such as decomposition, autocorrelation, and forecasting. By identifying and understanding seasonal patterns, businesses and organizations can make informed decisions about resource allocation, inventory management, and marketing strategies.
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