What is the significance of seasonality in time series analysis?
- Irregular fluctuations
- Long-term trends
- Repeating patterns or trends at regular intervals
- Sudden spikes or drops
Seasonality in time series analysis refers to repeating patterns or trends at regular intervals, such as daily, weekly, or yearly cycles. Identifying seasonality is crucial for accurate forecasting and understanding the underlying patterns in the data.
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