Interactive Poster: Axes-Based Visualizations for Time Series Data
Christian Tominski, James M. Abello, Heidrun Schumann · 2003
In the analysis of multidimensional time series data questions involving extremal events, trends and patterns play an increasingly important role in several applications. We focus on the use of Axes-based visualizations(similar to Parallel or Star Coordinates) to aid in the analysis of multidimensional data sets. We present two novel radial visual arrangements of axes- the TimeWheel and the MultiComb. They are implemented as part of an interactive framework called VisAxes. We report our early experiences with these novel design patterns.