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Two visual representations of the history of data visualizations, each of which takes a different approach and reveals something different: Milestones in the History of Data Visualization , which uses an interactive multidimensional timeline to emphasize historical progression; A Periodic Table of Visualization Methods , which emphasizes structural similarities. I think I like the visual approach of the second site better -- I mean, who doesn't love repurposed periodic tables? ( 1 , 2 , 3 , 4 , 5 ) But the sheer variety, eclecticism, and particularity of visualization methods on display at the Milestones site is hard to beat, including EEGs, the invention of the Cartesian coordinate plane, the USA Today weather map, and other things you might not immediately think of when you think of data visualization. via @whitneytrettien at MITHyperStudio , whch has a lot of great stuff on data viz, as does the full Milestones site at datavis.ca.
Visualizing visualizations
Milestones in the History of Thematic Cartography, Statistical Graphics, and Data Visualization
Chord diagram Gapminder Sparkline Tag cloud, Word cloud
How to Make Data Visualization Useful for Color Blind Users - in
We Are Color Blind [wearecolorblind.com] is an online repository consisting of design patterns and constructive critiques of existing examples for anyone who designs, develops or is in another way involved with creating content for the web. Interestingly, most of the available content deals with data visualization, ranging from simple design patterns (e.g. Line Graphs , Pie Charts and Status Icons ) to the analysis of the color readability of existing visualization examples (e.g. Ben Fry's Visualizing the Major Health Issues , the streamlines used in the Wakoopa reports , or the World Map of Social Networks ). Any visualization designer should feel highly encouraged to at least be aware of the Quick Tips list. Via Swiss Miss .7 Basic Rules for Making Charts and Graphs
Charts and graphs have found their way into news, presentations, and comics, with users from art to design to statistics. The design principles for these data graphics will vary depending on what you're using it for. Making something for a presentation?
