A multi-dimensional data visualization tool for knowledge discovery in databases
Hing-Yan Lee, Hwee‐Leng Ong, Eng-Whatt Toh, Sieu-Kong Chan · 2002
The paper describes a multidimensional visualization (MDV) technique, a refined and improved form of a computational geometry method known as parallel coordinates, that has been realized by WinViz. It shows how MDV differs significantly from parallel coordinates as originally conceived by Alfred Inselberg (T. Chomut, 1987). The paper also discusses WinViz's underlying design considerations. A primary principle is known as "seeing your data in a single picture". The novel visualization interface of WinViz supports both the display of multidimensional data and the visual formulation of query interactively. In particular, we compare WinViz's query operators with those in SQL to highlight its salient features realized through the MDV interface. Applications of WinViz include exploratory data analysis and knowledge discovery of databases for a diverse range of domains.