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 …more ...