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before jumping in letamp;#39;s review the fundamentals of time series data time series data contain observations of one or more units over many periods letamp;#39;s say you want to understand a cityamp;#39;s population growth over time you would measure the population each year to generate a dataset containing a column of years and a column of population figures so where does the xes package come in xes facilitates the manipulation of time series data in R by producing xes objects which consists of a matrix paired with a time index here you can see a standard matrix of numeric values in our letamp;#39;s pretend these are City population data to produce an X es object from this matrix we simply attach a vector of dates in this case weamp;#39;ll attach years cars funding to population measures while a regular data frame may contain a time variable an access object is indexed on time making it easier to manipulate in interesting ways for example if we want to add a new row of data in
