This introduction outlines briefly the purpose of the Guide and gives a general overview of what is understood by seasonal, calendar and irregular effects in sub-annual (monthly or quarterly) time series and why it is necessary to adjust for these effects to derive time series that allow comparisons over time and enable a coherent interpretation of the developments in the series. JDemetra+ is introduced followed by a short description of the four main steps of seasonal adjustment: preparation of data, seasonal adjustment, analysis of the results and user communication. Lastly, an overview of the chapters of the Guide is provided.

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