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Three components of a data series are the trend, seasonal variation, and irregular variation. The trend represents the long-term movement or direction in the data over time. Seasonal variation refers to regular fluctuations that occur at specific intervals, such as monthly or quarterly. Irregular variation, on the other hand, encompasses unpredictable and random fluctuations that do not follow a consistent pattern.

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