Not just Arial
Resource Links
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How to use your favorite fonts in R charts →
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Forget your fancy data science, try overkill analytics →
“simple models can close the accuracy gap when applied to large data sets”
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iOS 6 Maps blunders →
Locations that don’t exist, melting cities, and roads in the clouds
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A timeline that isn’t boring →
Some background on a connected scatterplot by Hannah Fairfield
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Hey Yahoo, You’re Optimizing the Wrong Thing →
Common sense is useful.
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Designing Data Apps with R →
Integral to the data design process
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A beginners guide to streamed data from Twitter →
Fetching tweets and metadata
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k-means clustering →
Good explanation of the method to find centers of density, with interactive demos
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Probability and Statistics Cookbook →
Open source PDF, although looks pretty technical on first glance
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Data Is Useless Without the Skills to Analyze It →
And visualization is useless without data; you do the math.
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Google Bacon Number →
When you Google “bacon number” followed by an actor’s name, you’ll get the degrees of separation
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Comparing Map Projections →
Slick demo showing what projections preserve and lose
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Networked Life →
New course on how social, economic and technological structures interact
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Infographics Education →
Video tutorials on using Illustrator by professor Mike Wirth
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Scraping HTML with Google Docs →
Old, but I keep coming back to it. Simple use of ImportHtml() function brings an HTML table into spreadsheet
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Building a Bubble Cloud →
Tutorial based on the NYT graphic on word use at the National Conventions
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Some ggplot2 themes →
Including the Economist, Stata, and oh yes, Excel 2003 [via]
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Art and Design continuum →
From data graphics to art, it’s a continuous spectrum; last sentence of article includes a lot more people though
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Hacker Journalism 101 →
A wishful syllabus by NPR news app head
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Visual Encoding →
Ways to display data based on vision and variables