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.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.

The prompt requests a D3.js force-directed graph to visualize a knowledge graph of a beehive ecosystem, representing relationships as labeled edges. The generated graph should: ...

Book Abstract: Create stunning web-based data visualizations with D3.js. This totally-revised new edition of D3.js in Action guides you from simple charts to powerful interactive graphics.

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 ...