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Title: Visualization of dependence in high-dimensional data with R Authors:  Marius Hofert - University of Waterloo (Canada) [presenting]
Abstract: The focus is on Data Visualization as part of Data Science. The question of how high-dimensional data can be visualized is raised. The notion of a zenpath and a zenplot is introduced to search and visualize high-dimensional data for model building and statistical inference. By using any measure of ``interestingness'', a zenpath can construct paths through pairs of variables in different ways, which can then be laid out and displayed by a zenplot. Zenpaths and zenplots are useful tools for exploring dependence in high-dimensional data, for example, from the realm of finance, insurance and quantitative risk management. All presented algorithms are implemented using the R package zenplots.