Various Solutions to Missing Values in Repeated Sequences

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Data can have a repeated sequential structure with respect to one or more variables and it may be essential to present the sequence order in a data set. For example, when plotting incident cases for a specific disease conditions by age group and calendar year of occurrence. The data set may have missing categories within a sequential order. To add the missing categories back into the data structure such that the sequential order is maintained several different approaches are demonstrated. Solutions are presented for two different scenarios related to grouped data and individual observation data sets. Three solutions are presented for the former and two solutions for the latter type.