and statisticians rejoiced, although never satisfied until R is at the top
Resource Links
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R jumps from 25 to 19 →
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Where the 0.05% Live →
Inverse population density
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Empowering Citizen Cartographers →
“Today, in the Age of Participation, it’s crowds, not scholars, who are charting their own New World.”
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First steps in data visualisation using d3.js →
Tutorial talk by Mike Dewar, data scientist at bit.ly [via]
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Embracing Uncertainty in Two-Line Charts →
And when a stacked area chart might be better
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How The New York Times Graphics Department Uses R →
Amanda Cox, the token statistician, talks R and its role in professional graphics [via]
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Good bye, Google Maps →
Sebastian Delmont explains why and how StreetEasy stopped using Google Maps, switching to custom maps with open source tools
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The 2012 Political Visualization Race →
Breakdown of what worked and didn’t with news trackers for the New Hampshire primaries
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Mining of Massive Datasets →
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Let’s Keep Symbol Maps Clean And Tidy →
Math to reduce overlap and increase readability [via]
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Two tales of one dataset →
Simple dataset, but two graphs tell different stories of rainfall
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Perception: Gestalt Laws →
How we see patterns. Second in the series from Jorge Camoes, geared towards Excel users, but applicable across different software
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Predictions for Online Data in 2012 →
Predictive analytics, the talent grab, and non-profits [via]
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Graphics Collection →
As part of a masters thesis project, a collection of information graphics from The New York Times and The Guardian
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A Slopegraph Update →
Read the original summary of the method first
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Map your Twitter followers in R →
Quick hack that shows where your Twitter followers are from
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NASA open sources code →
“Will your code someday escape our solar system or land on an alien planet?” [via]
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Facts are Sacred →
Guardian’s short eBook on how they do data
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‘Data journalism’ draws the line between the quick and the dead →
Maybe there’s something to this numbers thing
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indiemapper is free →
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Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
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