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music (51679) data (5130) data visualization (618)
Data visualization is an exploding field, with rock stars and conventions of its own, such as Yale’s Edward Tufte or the popular writer/blogger Nathan Yau (“Visualize This”). As data overwhelms us (more since 2002 than all the years of human history prior combined!), visualization of it continues to grow in influence, and we are seeing a growing use of it in news and economic reporting and even to describe music history.
My favorite topic is naturally data visualization as it pertains to music . As part of a thesis for Columbia University, I am working on a music search/recommendation tool that will enhance listeners’ interaction with their collections in old and new ways. Earbender 3.0 takes “files” and enables users to see them as graphics. The recommendation aspect of the algorithm supplements their listening history with social and real time data in order to generate more accurate and relevant results.
Click image to open interactive version (via Thomson Holidays ).
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