Visualizing data means that we can see relationships if they exist. A visualization is a short cut to understanding the underlying pattern in the data. The danger is that the pattern is spurious and that we fail to test for the significance of the relationship. So what are "best practices" for visualizing a data set? Should we start with descriptive information on the data set? Should we have a prior hypothesis that guides our analysis? Should we try a number of techniques and tools and to see if we find a relationship?
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Posted December 24, 2012 5:47 AM
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