Implementation aspects of data visualization based on map of attributes
Tomasz Rzeźniczak · Applied Computer Science · 2012
The aim of this study is to present an original data visualization method with greatest focus on selected aspects of its implementation. The proposed method is designed for visualiza- tion of multidimensional data sets consisting of objects described by nominal attributes. The goal of the visualization is to facilitate objects recognition and remembering based on hu- man perceptual capabilities. The expected result for a given input data set is a two- dimensional map of all attributes. Arrangement of the attributes on the map allows visuali- zation of individual objects as, so called, good figures. The study is focused on the algo- rithm, which searches for the optimal maps; implementation aspects and overall complexity of the problem are also explored.