In previous work, researchers have attempted to
construct taxonomies of information visualization
techniques by examining the data domains that are
compatible with these techniques. This is useful
because implementers can quickly identify various
techniques that can be applied to their domain of
interest. However, these taxonomies do not help the
implementers understand how to apply and
implement these techniques. In this paper, we will
extend and then propose a new way to taxonomize
information visualization techniques by using the
Data State Model [Chi98]. In fact, as the taxonomic
analysis in this paper will show, many of the
techniques share similar operating steps that can
easily be reused. The paper shows that the Data
State Model not only helps researchers understand
the space of design, but also helps implementers
understand how information visualization techniques
can be applied more broadly.