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ASA- Statistical Graphics

Session Slot: 10:30-12:20 Tuesday

Estimated Audience Size: 200

AudioVisual Request: VCR, slide projector

Session Title: Statistical Graphics on the Web

The world wide web is arguably positioned to re-revolutionize statistical computation in much the same way that individual workstations and personal computers did during the 1980s. JAVA and ActivX offer the possibility of doing statistical graphics over the web in a way that cannot necessarily be easily duplicated on individual workstations. Special types of graphics not available in standard packages can be offered over the web. This session explores aspects of this advanced mechanism for distributing the latest graphics.

Theme Session: Yes

Applied Session: No

Session Organizer: Wegman, Edward J. Center for Computational Statistics, George Mason University

Address: Center for Computational Statistics George Mason University, MS 4A7 Fairfax, VA 22030-4444

Phone: (703) 993-1691

Fax: (703) 993-1700


Session Timing: 110 minutes total (Sorry about format):

110 minutes total First Speaker - 30 minutes Second Speaker - 30 minutes Third Speaker - 30 minutes Floor Discussion - 15 minutes )

Session Chair: Oster, Robert A. Morehouse School of Medicine

Address: Clinical Research Center Morehouse School of Medicine 720 Westview Drive, S.W. Atlanta, GA 30310-1495

Phone: 404-756-5713

Fax: 404-752-1112


1. Web-Based Visualization

Eick, Stephen G.,   Bell Labs/Lucent Technologies

Address: Bell Labs/Lucent Technologies - Rm 1G-351
1000 East Warrenville Road
Naperville, IL 60566

Phone: 630-713-5169

Fax: 630-713-4982


Abstract: Over the last couple years we have developed a suite of web-based interactive systems using Java applets. These include systems for visualizing software source code data, displaying time-stamped network traffic, performing interactive data analysis, and an interface for controlling network simulations. Our experience has been that Java is a more productive programming environment than C++ and has the potential to become a standard development platform for building visualization systems.

2. Untangling the Web: Java Beans for Disseminating Information Through Interactive Graphics

Rope, Daniel J.,   Daniel J. Rope Consulting

Address: 1870 North Scott Street #548, Rosslyn, VA 22209-1353

Phone: 703/525-6404



Carr, Daniel B., George Mason University

Wilkinson, Leland, SPSS, Inc.

Abstract: The Internet, intranets, and extranets have all proven to be effective for allowing vast numbers of people access to vast amounts of information. But, just like other communications media before them, these networks create new challenges in the process solving previous problems. In particular, the new challenges include creation of quality presentations and customized interaction with data from databases.

To address these issues, we will describe and demonstrate a new set of statistical graphics Java Beans designed specifically for web-based data dissemination. This new system focuses on three aspects of statistical graphics: powerful content creation, customizable interactivity with rich meta-data, and flexible, high-quality presentation. The content creation engine provides a simple way to model complicated data structures and provide flexible mapping of data values to the aesthetic attributes of graph elements. In addition, customizable "controller" beans give content providers complete control over end user interactivity. Further, a rich meta-data model allows content providers to embed important contextual information into a graph. This information can be used in a hyper-linked environment and can also be used to warn end users when they attempt to make inappropriate comparisons. Finally, a variety of carefully designed templates for high quality are embedded in customizable beans. These allow refined control of the look and feel of graphs. These three aspects: a content engine, customizable interactivity with a meta-data model, and carefully designed templates provide an integrated solution to the majority of challenges in web-based data dissemination.

3. The Data Image: A Tool for Exploring High Dimensional Data Sets

Minnotte, Michael C.,   Utah State University

Address: Utah State University, Department of Mathematics and Statistics Logan, UT 84322-3900

Phone: (801) 797-1844

Fax: 801/797-1822


West, R. Webster, University of South Carolina

Abstract: The color histogram was first introduced as a tool for visualizing higher dimensional data by Wegman (1990). A new version of this concept, called a data image, is discussed. Each variable is transformed into a greyscale or color range so that a high-dimensional data set may be viewed as an image, with observations on one axis and variables on the other. The rows and columns of the image may be rearranged to highlight relationships between variables. New ways of displaying the image based on various linear orderings of a data set are discussed. The ability of the data image to show relationships between variables and clusters in higher dimensions is explored. A Java applet which may be used to construct an interactive data image via the World Wide Web is used as the basis for this exploration.

List of speakers who are nonmembers: None

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Next: asa.stat.graph.03 Up: ASA Statistical Graphics (3) Previous: asa.stat.graph.01
David Scott