Seasonality

Seasonality refers to predictable, recurring patterns within a time series dataset that occur over a fixed period. These patterns repeat regularly, such as daily, weekly, monthly, or yearly. Identifying and understanding seasonality is crucial for accurate forecasting and analysis, as it allows you to account for these repeating fluctuations and make more informed predictions about future trends.

Visit the following resources to learn more:

• @video@Complete Time Series Analysis and Forecasting with Python