Chapter 10
Data Structures for Longitudinal Analysis
10.2 Data Relationships in Longitudinal Cases
10.3 Transactional Data, Finest Granularity, and Most Appropriate Aggregation Level
10.4 Data Mart Structures for Longitudinal Data Marts
10.1 Introduction
In this chapter we will cover longitudinal data marts. In longitudinal data marts we have observations over time. This means that time or a sequential ordering is included in these data marts by a time or sequence variable.
Longitudinal data marts do not have an analysis subject such as in multiple-rows-per-subject data marts. They can represent one or more variables measured on several points in time, as we see in the following examples.
Or longitudinal data marts ...
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