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Essay / Research Paper Abstract
A 5 page paper that begins by explaining data visualization and commenting on the development of more sophisticated techniques for analyzing large amounts of data. The writer also comments on the use of interactive data visualization techniques in computer education and in education per se. Bibliography lists 9 sources.
Page Count:
5 pages (~225 words per page)
File: MM12_PGdatvs.rtf
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Unformatted sample text from the term paper:
of using any number of graphic options to organize large amounts of data for the purpose of analysis and decision making (Brooks, 1998). Graphics, like bar charts, histograms, pie charts
and a variety of plots, have a history almost as long as the simple spreadsheet (Sullivan, 2002; Young et al, 2003). Robertson pointed out that data visualization systems were initially
developed "for scientific supercomputing" where professionals were attempting to interpret huge amounts of raw data every day (1999). Now, businesses are faced with that same scenario - huge amounts of
data to analyze (Robertson, 1999). too closely, according to some. Developers today attempt to model visualizations on nature. Charts, bar graphs, spreadsheets and so on are linear models for
graphically displaying data and they still have their place in todays world. There are new visualization models that offer a richer context for presenting and understanding data (Sullivan, 2002).
Depending on the application being used, visualization techniques allow the user to "navigate related but distributed and unstructured data" (Sullivan, 2002). These new techniques can significantly reduce the time it
would take a person in any field to turn data into information (Sullivan, 2002). Saving time in this endeavor then saves time in decision making (Sullivan, 2002). Data visualization can
be used to "analyze information in a data warehouse or it can be used in a standalone environment" (Brooks, 1998). The newer more sophisticated models use 3D technology, much like
animation (Rettig, 1997). Colin A. Haig, who is a product marketing director at Toronto-based Visible Decisions Inc., commented that what is needed is the ability to change 2D charts into
3D landscapes because that is the way human vision works (Rettig, 1997). Haig explains why: "You may or may not catch the number in a long list of numbers that
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