Understanding Your Data
Abstract
Much of the literature on data visualization attempts to teach scientists how to prepare data for an audience of non-scientists. There is very little literature that shows scientists how to examine their data, for themselves, preparatory to any further analysis. The purpose of this chapter is to provide data scientists with ways to quickly assess their data, to determine its general content, and to develop some insight into what the data seems to mean.
Keywords
Image formats; Profiling; Graphing; Data signature; Data visualization; Data plotting
Now take a sharp knife and slice the tip off the cone through a plane parallel to the table. The fresh-cut surface (or "section") traces out a circle. ...
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