Data-driven, interactive article with d3.js plot and IPython Notebook

This week we are launching a brand new look for Authorea and a couple of exciting new features aimed at making scientific research more interactive. Since the very beginning of Authorea, we have been striving to make collaborative scientific writing as easy as possible. But in addition to writing, we are also creating a space for new ways of reading science, and executing it.

For example, if you are a scientist, chances are that you do a lot of data analysis and you might want to visualize and provide access to your data in some fun, new, interactive, more meaningful, data-driven ways, rather than the usual static, data-less plot. There are many ways to create this kind of interactive plots. In this short blog post we will look at two of them.