Time is confusing. Sometimes, it's so confusing that our thinking about it changes... over time. Which makes it triply confusing, or something. In this post, I want to talk about two aspects of temporal data, both common, useful and often misunderstood:

• Homogeneous vs Inhomogeneous
• Temporal vs Bitemporal

Homogeneous Temporal Data

The first thing to stress is that we're talking about homogeneous data, because "homogenous" means something completely different.

In a homogeneous, temporal data set, one column will contain a known sequence of discrete time values, and the other columns will contain whatever information is associated with those times.

You would …

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