does anyone what kind of library was used to create the visualizations? They look pretty good. this is a really good way to present findings as a data scientist.
You can do all of these using D3, albeit it takes a while. It's a really neat demonstration but it's a little hard to understand / interact with to be completely honest.
If you're using the ipython notebook workflow, I would check out bokeh or seaborn for publishing web-ready graphics / interactions. Vispy has some promise although its super early.
i was introduced to bokeh in a recent data science conference and it looked pretty cool, esp the interactivity and the way you can drill down into the granularity of the plot changing the scales.
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