Visualization is about discovery and understanding; the user wishes to gain a correct insight into the underlying information, to explore and analyze how different parts are related. Thus, presentation, exploration and explanation tools are used with manipulation and investigative techniques to display, discover and gain a 'correct dissemination' of the information. Moreover, by displaying the information simultaneously in multiple ways the user is aided in their investigation. Such multiform techniques may be generated through various algorithms; we organize these methods according to how they apply to the individual stages of the dataflow paradigm. These multiforms may be displayed in separate windows. Multiple views are useful (1) to overcome misinterpretations and provide additional insight, (2) for scientific exploration tasks of relating, coupling and to aid the 'drilling down' of information, and (3) to provide alter-native viewpoints by expressing different user-interpretations of the same information. Finally, to use multiple views effectively they should be, among other things, easily created, automatically coupled to other views and dynamically manipulated.