Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data

Abstract

This paper presents information visualization methods for revealing relations of multi-attributes in big infrastructure data. The interactive parallel coordinates, sunburst visualization and combinational visualization approaches are used to represent different relations to get insights from the big infrastructure data. The water pipe failure data is used as a case study to show the effectiveness of proposed visual analytics approaches.