Data Visualization: Ideas, Methods, and Problems
Data Visualization: Ideas, Methods, and Problems

Summary/Abstract: The science of data visualization requires both a theory of perception and of computer graphics. This article explores the convergence sciences of perception and techniques of visualization. Bertin's Image Theory of visualization research offers a promising technology for transforming an indigestible mass of numbers into a medium which human beings can understand, interpret, and explore. Visualization techniques are of increasing importance in exploring and analyzing large amounts of multidimensional information. In the article we try to set some classes of visualization techniques. We describe some of the most popular multidimensional data research methods, and present some examples. Visualization is applied in education of old. It must make connections between knowledge the learner has and the knowledge being taught. Therefore in order to design effective visualizations it is necessary to know (or at least have a theory about) what the learner knows. This is especially important in the context of education.

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