Information Visualization

Section Chairs:

Ken Hardy

University of North Carolina

Chapel Hill, NC

Michael Riddle

Quintiles, Inc.

Research Triangle Park, NC

 

 

   
   

Where in the World is Bacon Level?

   

Keith Brown, University of North Carolina, Chapel Hill, NC

   

While SAS/Graph's mapping facilities provide a convenient way to marry data to geographical representation at the national, state, or county level, their IDNAME datasets provide locations of very few points within a county. By using readily available electronic data, you can create a program to map the localities of any county in the United States and provide basic information about the county in footnotes. This paper provides information on retrieving the needed data and illustrates the steps to produce the finished map.

   

Keith Brown received his B.A. from the University of Alabama in 1981, and his M.A. from the University of North Carolina at Chapel Hill in 1983, both in Political Science. He began using SAS as a student in 1982, and progressed to teaching it as an instructor and user service consultant at UNC-CH. In 1994, he moved "down the hill" to UNC General Administration, which oversees all sixteen campuses of the UNC system. Currently, Keith is a programmer and data analyst in the Division of Program Assessment and Public Service, where he primarily uses BASE SAS, SAS/GRAPH, and SAS/STAT on several systems, including IBM MVS, UNIX, and Macintosh.

   

Presenting A Neural Network As An Interactive Poster

   

Frank DiIorio, ASG, Inc., Cary, NC

   

At Mitsubishi Semiconductor America (MSAI) we exploited several sometimes overlooked capabilities of the PFD class: the "diagram" does not really need to be a flow chart, and the instructions for drawing the diagram can be supplied from a SAS dataset.

   

Biography not available at press time.

   

SAS/SPECTRVIEW Software and Data Mining: A Case Study

   

Stuart Nisbet, SAS Institute, Inc., Cary, NC

   

Advances in information technology are allowing organizations to collect and store larger amounts of detailed data. Today’s challenge is for companies to turn this information into a competitive advantage. Application areas, such as data mining, database marketing and decision support, hold the promise of turning this information into profits. One key component to this process is data visualization. This paper presents a practical example of using data visualization technology to assist companies in the decision support process. SAS/SPECTRAVIEW® software is used to spot key relationships and trends in a large data set.

   

Stuart Nisbet is the Director of the Advanced Visualization Division at SAS Institute. The Advanced Visualization Division focuses on multidimensional data visualization, virtual reality, and multimedia systems in scientific and business applications. The group produces such products as SAS/SPECTRAVIEW, Video Editor/Compositor, SAS/AF Map Object, SAS/IMAGE, SAS/EIS, and Data Mining graphics objects. In addition, the Advanced Visualization Division is working with the Video Reality Department to provide 3D rendering scenes for game development. Stuart holds a B.S. in Computer Science from North Carolina State University.