ABSTRACT
This chapter discusses the interested in visual representations that fulfill the criteria of expressiveness, effectiveness, and efficiency. It introduces fundamental classes of multivariate visualization techniques. The chapter looks at advanced graph visualization approaches taking into account additional data facets. In 1967, based on an extensive analysis of visual representations in cartography, Jacques Bertin introduced the idea of data graphics expressed by marks and visual variables. A visual variable can be understood as a graphical property that can be varied within a reasonable range. Different variations of a visual variable can be perceived as different. The visual encoding produces marks whose graphical appearance meaningfully reflects the data. The marks are compiled into views to be displayed to the user. Multivariate data visualization concentrates on the depiction of the dependent variables of a dataset, that is, the attributes A.
