D3 is a low-level JavaScript visualisation library: you’ll write more code, but it has an ‘ expressivity advantage ’. Can you put a D3 JavaScript visualisation into a Python Jupyter notebook? Yes!

D3 (or D3.js) is a JavaScript library for visualizing data using web standards. D3 helps you bring data to life using SVG, Canvas and HTML. D3 combines powerful visualization and interaction ...

D3.js in Action, Second Edition is completely revised and updated for D3 v4 and ES6. It's a practical tutorial for creating interactive graphics and data-driven applications using D3.

For newsrooms, creating interactive stories can be painful–but readers are coming to expect them more and more. As easily as they can wow readers, cool interactive graphics can be incredibly expensive ...

This story contains interviews with data visualization professionals Moritz Stefaner, Scott Murray, Benjamin Wiederkehr, partner at design and technology studio Interactive Things, data visualization ...

Overview:  Discover powerful Plotly Studio alternatives that transform complex data into meaningful insights across ...