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Visualizing Large Datasets
Pages 121-128

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From page 121...
... Our approach to visualizing abstract, non-geometric data involves domain-specific representations, multiple linked views, color, and a highly-interactive user interface using filtering and focusing to reduce visual clutter. We have developed a software infrastructure embodying our design principles for producing novel, high-quality visualizations of corporate clatasets.
From page 122...
... One approach to solving the display clutter problem involves interactive filters that reduce the amount of information shown on the display. Humans hare sophisticated pattern recognition capabilities, perhaps due to our evolution and are very efficient at manipulating interactive controls to reduce visual clutter.
From page 123...
... budgets, network traffic patterns, consumer shopping patterns, relational database integrity constraints, resource usage on a compute server, etc. The amount of information that our systems present on a single screen is between 10,000 and 1,000,000 records.
From page 124...
... Relational Database View Figure 5. Christmas Morning I,ong-Distance Traffic 124 Figure 6.
From page 125...
... Organization Productivity by Week
From page 126...
... 7 Software and Technology Underlying all of our visualizations is a common infrastructure embodied in a C++ library that handles interaction, graphics, and view linking. This C++ Visualization Library helps us to: · Minimize our development time, · Encapsulate expertise and design principles, .
From page 127...
... approaches and Haiti become a wi(lely used toot for extracting the information contained in large complex datasets. Acknowledgments The research presented here represents the joint efforts of Jackie Antis Dave Atkins, Tom Ball, Brian Johnson, Ken Cox.
From page 128...
... Displaying trace files. Software Practice and Experiencd, Accepted for publication 199~.


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