Title:

Task-driven Automated Data Visualization

Speaker:

Yunhai Wang

Bio:

Yunhai Wang is an associate professor in School of Computer Science and Technology at Shandong University. His interests include scientific visualization, information visualization and 3d shape analysis, focusing specifically onĀ automated data visualization.

Abstract:

By providing visual representation of data, visualization can help people carry out some tasks more effectively. Given a data set, however, there are have too many different visualization techniques, where each technique has many parameters to be tweaked. We are asking if it is possible to automatically design a visualization that is best suited to pursue a given task on given input data. We have developed five new techniques to achieve this goal for specific data sets: perception-driven dimensionality reduction, the selection of line chart or scatter plot for time-series data, a framework for aspect ratio selection, consistency-preserving word cloud editing and constrained graph exploration.