Resources Index

Worth taking the time to embrace the tech talk for a deeper understanding of how to tell compelling stories through data. Or at least talk to partners who can do it with you.

Interactive Dynamics for Visual Analysis: A taxonomy of tools that support the fluent and flexible use of visualizations

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.” Source: Slashdot

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.” Source: ACM Queue

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