Visualizing Dimension Coverage to Support Exploratory Analysis

Abstract

Data analysis involves constantly formulating and testing new hypotheses and questions about data. When dealing with a new dataset, especially one with many dimensions, it can be cumbersome for the analyst to clearly remember which aspects of the data have been investigated (i.e., visually examined for patterns, trends, outliers etc.) and which combinations… (More)
DOI: 10.1109/TVCG.2016.2598466

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Cite this paper

@article{Sarvghad2017VisualizingDC, title={Visualizing Dimension Coverage to Support Exploratory Analysis}, author={Ali Sarvghad and Melanie Tory and Narges Mahyar}, journal={IEEE Transactions on Visualization and Computer Graphics}, year={2017}, volume={23}, pages={21-30} }