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Polaris
Polaris is not a commercially available product, so could
not be used by our users, but nonetheless uses some interesting
visualization and interaction techniques that are applicable
to our users needs. The most prominent feature of Polaris
is its use of a common analysis technique, the crosstab,
but in a graphical form. This allows users who are comfortable
with crosstabs to quickly and easily compare variables. We
found this most interesting because some of our users had
mentioned crosstabs during the interviews.
Since Polaris was designed to be used with any dataset, it
allows the user to decide what kind of chart should be shown.
While this flexibility is useful, it does allow the creation
of meaningless or misleading charts. It does, however, use
some visual cues to direct the user away from mistakes, such
as coloring coding the variables by type (ordinal/nominal
vs. quantitative)
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Strengths and Weaknesses:
Strengths:
- Easy drag and drop of variables is easy to use.
- Variables are color-coded based on nominal/ordinal vs.
quantitative so that users can easily distinguish between
data characteristics and be less likely to try and make
misleading charts. (see Image P-2)
- When placing variables on axes or other widgets, feedback
is given to signify if that type of data can be placed there.
This also prevents errors.
- Use of small multiples allows for the display of multivariate
data without incurring excess cognitive load. Patterns and
outliers are easily recognized.
- Modeled after familiar pivot table/crosstab model that
some users already use.
Weaknesses:
- Users are unable to save preferences or settings, so they
have to start over in each session.
- Inappropriate chart types are not gray-ed out or made
unavailable, instead they just don't work or look wrong.
- No access to raw data behind graphs.
- Some labels are confusing (e.g., what is the difference
between Sort and Group? And what does aggregating data mean
in relation to the Group function?)
- Drag and drop functionality is hidden from the user, and
it is an unusual interaction so its possible that a new
user would not know how to begin exploring.
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