Interactive visual analysis of multi-parameter families of function graphs

The paper describes a method developed for interactive data visualization and exploration with applications in the automotive industry. The input data set contains a large number of function graphs. Each of the graphs is characterized by a set of basic attributes. The technique that is used for visualization includes two linked views: a map view (or attribute space view), where all function graphs are represented as a point or an icon on the map, and a linked function graph view. The map view provides additional visualization possibilities and allows user interaction. Additional features like brushing in both views, graph management, and related issues like interpolation of the graphs are described.