Coordinated Visual Analytics Method Based on Multiple Views with Parallel Coordinates

Parallel coordinates and scatter-plot matrix are the main visualization and visual analysis techniques for multidimensional data.However,these techniques have defects that local information can not be shown clearly when data set is large and complex.A simple and flexible visual analysis method called multiple coordinated views based on parallel and scatter-plot matrix was proposed.This method combined with the advantages of the parallel coordinates and scatter-plot matrix,and embedded some statistical analysis techniques such as histograms in Parallel Coordinates to compensate those defects.Users could analyze multidimensional data in different perspectives simultaneously,and mine valuable information from the multidimensional data set with this method.The results of application in the pesticide residue detection data set show that this method can implement visual analysis to multidimensional data flexibly and effectively.