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Subtitled "Data visualization with JavaScript", this guide to the D3 JavaScript library that shows how the API can be used for data visualization over HTML, CSS, and SVG has been completely updated.

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!

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.

Interactive visualization project using D3.js and Plotly into building a Data-driven DOM manipulation dashboard to explore the Belly Button Biodiversity dataset, which catalogs the microbes that ...

The Vega Project is happy to announce the release of version 5.3.0 of the Vega-Altair Python visualization library. This release has been 4 months in the making and includes enhancements, fixes, and ...

There's a new version of D3.js, the JavaScript library for manipulating documents based on data. The new release adds support for promises instead of asynchronous callbacks to load data. D3 provides a ...