<blockquote>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....The citations alone make this an article worth bookmarking." <strong>Source:</strong> <a href="http://slashdot.org/submission/1965847/a-taxonomy-of-visualization-techniques">Slashdot</a></blockquote>

<blockquote>The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives. To get the most out of such data, however, users must be able to make sense of it: to pursue questions, uncover patterns of interest, and identify (and potentially correct) errors. In concert with data-management systems and statistical algorithms, analysis requires contextualized human judgments regarding the domain-specific significance of the clusters, trends, and outliers discovered in data....

The goal of this article is to assist designers, researchers, professional analysts, procurement officers, educators, and students in evaluating and creating visual analysis tools." <strong>Source:</strong> <a href="http://queue.acm.org/detail.cfm?id=2146416">ACM Queue</a></blockquote>