Research of existing visual models of multidimensional data and their visualization metaphors

Abstract

Analysis and interpretation of multidimensional data is a very important problem in many spheres of human life, such as production of products, diagnosis of diseases, marketing, information security, etc. However, sometimes the analysis of multidimensional data using traditional approaches is difficult. Since a person perceives visual information better and faster, visualization is used to analyze the data and identify patterns in the data. There are many ways to visualize multidimensional data. However, visual models built in these ways show different degrees of effectiveness for different tasks. Therefore, it is necessary to identify criteria by which to evaluate the effectiveness of the resulting visual model. This article describes the process of obtaining comparison criteria for visualization metaphors by examining visual models of multidimensional data and their visualization metaphors.