Using Spotfire Visualization Tool for Laptop Purchase Research
Introduction
It is commonplace now for consumers to do research on internet before
they buy some expensive merchandise. In this case, I was buying a
laptop computer for a friend. I chose to use
www.cnet.com's hardware
site for preliminary research. Downloaded and cleaned the data, and used
Spotfire as a navigation tool to study the data.
Description of the Data
A list of 246 kinds of Celeron, AMD K6-2, AMD K6-III based
computers have specification
information on cnet.com. Important features of a laptop computer
include model, maker, cpu type, cpu clock speed, amount of memory,
size of hard drive, LCD screen size and price. (To download this data
set, click here.)
The importance of these
features, however, are usually not equal for a laptop buyer. For
example, CPU clock speed is increasing every quarter, therefore a 400
MHz machine is not much different from a 433 MHz one. Whereas LCD
screen size usually makes a big difference in price (e.g. $400 difference
between a 12.1 inch and a 14.1 inch).
The Visualization
The online version of the data display is in pages after pages of tables with
links to online resellers or manufacturer sites. Usually, these web sites
categorize the data in a few different ways. You can browse by price
range, or by cpu type, or by manufacturer. You can also make complex queries
to get a small table of results matching your query parameters. (See
cnet site.)
Dynamic-query based graphical visualization systems, such as Spotfire,
does make a difference in presenting the data.
Spotfire has a lot of advantages over long html tables:
Weakness of Spotfire
For consumer purchase research purpose, Spotfire still has some
problems. Improvements are desired in the following ways:
-
A Java version that can run on the web would be cool;
-
Although Spotfire offers a number of ways to customize the
graphic output, it is still designed as a general tool to work
on "any" general data. I find the graphics is still rather
limited and unattractive. Only a few 2-d, 3-d shapes are
supported. In some cases, the graphics support in Spotfire is
not very user-friendly. The graphs make sense to trained
statisticians, may not make much sense for general public who
would use such a research tool most for purchase purpose. More
sophisticated and customizable graphics support may be
introduced;
-
Screen usage is still not efficient. A large portion of the
screen real estate is blank. On the other hand, query device
(sliders, etc) window is rather small by default. Detailed
window often can not be shown fully.
Microsoft Windows is also to blame: just look at how many pixels
those sliders have used:)
Scatter plots can be made with
even higher resolution and smaller. Zooming may be used to
reduce the size of overview thus creating more room for query
devices and detail/query result windows.
Conclusion
To use graphical dynamic query tools such as Spotfire in consumer purchase
research would bring a lot of convenience and insights to the
research. If it can be made runnable on web, and more customized to
the particular data domain, it will be a very powerful and attractive
tool. I think there is need for such a commercial product for the
ever-growing e-commerce sites.
Jin Tong
Last modified: Mon Oct 04 23:18:01 Eastern Daylight Time 1999
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