Consider yourself faced with learning about a new system. You have lots of measurements available, but you really don't know which measurements affect the values of others. Historically, different statistical techniques have been used to find the relationships between measurements, but they usually involve the analyst posing a relationship and testing its strength. This paper presents a new technique to arrange and organize measurement data in such a way that an analyst can easily query the data to observe the relationships between the metrics. The arrangement and organization of the data itself suggests the relationships to be investigated. The methodology is based on the standard algebraic notions of set theory and Boolean algebra.