# Understanding Additive and Multiplicative Seasonal Decomposition in Time Series Analysis

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Seasonal decomposition is a useful statistical technique for decomposing a time series into its underlying components: trend, seasonality, and residuals. By breaking down a time series into its component parts, seasonal decomposition can provide insights into the underlying patterns and trends in the data. There are two main types of…