ABSTRACT

Compared to visualization, the field of visual analytics seems to be much more complex, including many more technical and technological aspects, disciplines, theories, models, and practical problems, making it an interdisciplinary field. Visual analytics is a combination of several processes that lead to a goal, defined, adapted, or modified by the users. Visual analytics incorporates some major key concepts which are absolutely necessary to make it the powerful discipline it has become in these days with lots of contributors and a growing research community. The visual depiction of data demands for appropriate devices and displays as visual outputs for guiding the input in form of interactions. Humans with their perceptual abilities to quickly and effortlessly recognize and identify visual patterns are the driving force in the whole visual analytics process.