Decision trees are simple and powerful types of multiple variable analysis. Decision trees are produced by algorithms that identify various ways of splitting a data set into branch-like segments.
These segments form an inverted decision tree that originates with a root node at the top of the tree. The object of analysis is reflected in this root node as a simple, one-dimensional display in the decision tree interface. The name of the field of data that is the object of analysis is usually displayed, along with the spread or distribution of the values that are contained in that field.