A Taxonomy of Visualization Techniques
CowboyRobot writes "The ACM's Queue magazine has a new, comprehensive taxonomy of visualization techniques, drawing from the theories of Edward Tufte and citing examples from academia, government, and the excellent NYT visualization team. This list contains 12 steps for turning data into a compelling visualization: Visualize, Filter, Sort, Derive, Select, Navigate, Coordinate, Organize, Record, Annotate, Share, & Guide. 'For developers, the taxonomy can function as a checklist of elements to consider when creating new analysis tools.' The citations alone make this an article worth bookmarking."
Many Eyes by IBM offers 21 types of visualizations
What one fool can do, another can. (Ancient Simian Proverb)
.. I can't help but think of this as more of a way to make data look the way you want it to.
In short, a visually pleasing way to bend the facts that are presented in the data.
Yes, of course visualisation can be used for that -- the same way statistics in general can be manipulated. But that is an abuse of the tools. I do understand what you're saying though (I think): it might be an easy trap to fall in if one becomes focussed on presentation and therefore losing sight of the actual goal. Used correctly I think visualisation software can provide many insights that would be difficult (prohibitively time-expensive, or just plain non-intuitive) using other traditional methods. As always though, it is up to the author(s) to ensure that the presented data (i.e. information) is correct.
A long time ago it was published at http://www.visual-literacy.org/periodic_table/periodic_table.html and I find it quite useful to select the most appropriate to do a quick choice