The values in some data sets are recorded sequentially in time. Examples are

In such time series data, there is often a time-related pattern to the variability. This may be either a trend towards higher or lower values over time or a pattern that repeats regularly. This aspect of overall variability may be explained in terms of the time-ordering of the data.

This chapter describes techniques to analyse patterns in time series and to use these patterns to forecast future values.