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Introduction to Time Series Analysis

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As it has been discussed previously in data preparation chapter, time series usually represent the dynamics of some process, and therefore, the order of the data entries has to be preserved. This means that in most cases, all of the mentioned methods might be used as long as the data order remains the same. A time series is simply a set of data - usually events, arranged by a time marker. Typically, time series are arranged in the order in which events occur/ recorded. Several important consequences follow from this simple fact:

The sequence of events must be followed for any data manipulation; The arrangement of events in time is not only the order of data arrival but is a reflection of a certain process and its development in time. The sequence of events reflects the causal relations of this process, which we try to discover through data analysis;

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