Taking it from paper and pencil sketch to illustration
Resource Links
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Evolution of a SciAm Information Graphic →
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The Functional Art →
Just got a copy, and it looks like a good one. Review to come.
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Statistical machine →
With new tools that make running statistical tests straightforward, the two statisticians worry about pseudo-analysis. On the other hand, if the tech is trivial, there’s more time for learning the concepts (and teaching them).
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Designing data →
Visualization for stories that move you
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Style your ggplot2 charts with Themes →
The popular R graphing package now lets you easily change aesthetics
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Getting to “Hello world” with D3 →
A straightforward and detailed introduction
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Three States of Data →
Comparison to gas, selling the stuff that makes it useful vs. the raw material
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Advice to the Aspiring Interactive Cartographer →
Start with very basic then work your way up
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Branding with Infographics →
From the social media point of view
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Visually weighted regression →
Using gradient to show confidence intervals
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Making of Perpetual Ocean →
Making of Perpetual Ocean. NASA interview on how they made this; surprisingly, they used Maya and RenderMan
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Show, don’t tell →
Having data is just the beginning
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Visual.ly Create for Brands →
“Prices starting at $4,000” sounds so not worth it
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Republicans as elephants →
Five types, plus an endangered species; sized by party loyalty
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Animation in R →
Using animation package, produce a lot of GIFs and string them together
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knitr for fast report generation in R →
Not sure why some want to do everything in R, but here you go
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Data Art vs. Visualization? The Distinction is Unproductive →
Interview with artist Jer Thorp
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Data paint →
Lev Manovich on painting data and the parallels between visualization and realist art. I like the metaphor. Although I’d argue that most data art does preserve relationships in the data.
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Do You Really Need Big Data? →
It’s not how big, but how you use it
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Why Ratings Systems Don’t Work →
Patterns over averages