Visualization Symposium, IEEE Pacific (2014)
Yokohama, Japan Japan
Mar. 4, 2014 to Mar. 7, 2014
Tuan Nhon Dang , Univ. of Illinois at Chicago, Chicago, IL, USA
Leland Wilkinson , Univ. of Illinois at Chicago, Chicago, IL, USA
A scatter plot displays a relation between a pair of variables. Given a set of v variables, there are v(v- 1)/2 pairs of variables, and thus the same number of possible pair wise scatter plots. Therefore for even small sets of variables, the number of scatter plots can be large. Scatter plot matrices (SPLOMs) can easily run out of pixels when presenting high-dimensional data. We introduce a theoretical method and a testbed for assessing whether our method can be used to guide interactive exploration of high-dimensional data. The method is based on nine characterizations of the 2D distributions of orthogonal pair wise projections on a set of points in multidimensional Euclidean space. Working directly with these characterizations, we can locate anomalies for further analysis or search for similar distributions in a large SPLOM with more than a hundred dimensions. Our testbed, ScagExplorer, is developed in order to evaluate the feasibility of handling huge collections of scatter plots.
Clustering algorithms, Silicon, Layout, Educational institutions, Data visualization, Correlation, Time series analysis
Tuan Nhon Dang, Leland Wilkinson, "ScagExplorer: Exploring Scatterplots by Their Scagnostics", Visualization Symposium, IEEE Pacific, vol. 00, no. , pp. 73-80, 2014, doi:10.1109/PacificVis.2014.42