§ Programming Python on the iPhone .
§ Interactive Data Visualization for the Web , a new book about D3.js.
§ Great for commuters, Umano reads news stories in a human voice .
§ A collection of advanced must have Git aliases . Also, showing git branches sorted by latest commit , which I absolutely needed the other day because I didn't pick a memorable (read: good) branch name.
Available: Research position Biological Data Visualization and Visual Analytics
Keywords: biological data visualization; visual analytics; data integration; genomics; postdoc
Are you well-versed in the language of Tufte? Do you believe that visualization plays a key role in understanding data? Do you like to work in close collaboration with domain experts using short iterations? And do you want to use your visualization skills to help us understand what makes a cancer a cancer, and what …
Finally time to write something about the biovis/visweek conference I attended about a week ago in Providence ( RI)... And I must say: they'll see me again next year. (Hopefully @ infosthetics will be able to join me then). Meanwhile, several blog posts are popping up discussing it (see here and here , for example).
This was the first time that biovis (aka the IEEE Symposium on Biological Data Visualization) was organized. It's similar to the 2-year …
…really "data visualization" tools. They're some decent graphing and charting libraries. Data visualization is more than just pretty pictures. Providing the user with direct manipulations and other interactions is also a key ingredient to making the data understandable to system users. As such, these 28 tools only provide one piece of the puzzle.
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Nice List of Data Visualization…
…it's as much about finding the questions to ask as about finding the answers to those questions. Data visualization should not be used to "prove" things; that's what statistics is for. But the visualization can give you ideas on what statistical models to test. As do many others, I see a strong connection between statistics and data visualization. Taking a bit of a shortcut here, you could say that statistics is about proving what you expect, while visualization is about discovering …