An argument against the buzz around the dire need for data scientists; some stuff to disagree with but some good points
Resource Links
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The myth of the missing Data Scientist →
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Without Human Insight →
Big data is just a bunch of numbers; computers will do the brute force labor, but you still have to use your brain.
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Why infographics rule →
This is how marketers see visualization and information graphics. Glorified spam, kind of.
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D3 map projections →
A collection by Jason Davies of the map projections possible with D3
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R and Data Mining: Examples and Case Studies →
Download the book as a PDF with R code supplement
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Eyeo Festival 2013 →
Tickets don’t go on sale until February, but the first half of the speaker list was revealed. Looks great.
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NYT year in graphics →
Highlights from the world’s best graphics department in journalism
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Donorschoose hires data scientist →
Using powers for good to improve education
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D3 3.0 →
Built-in geographic projections, better transitions, and more extensive asynchronous requests
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An Illustrator to TileMill workflow →
It usually moves the other direction.
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Twitter archive download →
Finally, Twitter rolls out a feature to download all of your tweets as one file. They’re slowly making it available to users.
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CSV Logger →
A simple iPhone app to keep track of what you want and store it in CSV format
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Research-quality datasets →
A wide variety of datasets you can actually do stuff with
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Graphs explained →
Primer on network diagrams. See also.
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Small multiples with details on demand →
Small charts. Click. Big chart.
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Solving for W →
I’ve been on a statistics-for-basketball spree as of late
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How Obama’s data scientists built a volunteer army →
Changing times and new ways to reach people
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Big data at Riot Games →
Learning how people play their games to provide more fun
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This man makes data look beautiful →
A profile of the omnipresent Jer Thorp on Mashable
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Hexagonal binning in D3 →
Useful with dense point clouds; also this method using size instead of color
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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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