In this tutorial we’ll describe interactive statistical graphics methods for visualizing high-dimensional data. Graphics are a fundamental part of data analysis, used in initial data inspection and exploration, model building and checking and also communicating information. You will get the most out of the tutorial if you have struggled with visualizing high-dimensional data in the past. We will be presenting techniques from a different ancestry than most infovis tools, so expect to learn some new ideas.
We will teach the basics of direct manipulation and dynamic graphics that facilitate exploratory data analysis. We will describe multiple linked windows and grand, guided and manual tours. Direct manipulation on the plots includes scaling, moving points, linked brushing and identification using categorical variables. Visual methods for handling missing values, supervised classification, clustering and statistical inference for plots.
The methods taught are readily available in open source software, enabling all participants to reproduce, extend and use them with their own data after the workshop.
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