Creating beautiful stand-alone interactive D3 charts with Python

Visualizing your data can be the key to success in projects because it can reveal hidden insights in the data, and improve understanding. The best way to convince people is by letting them see and interact with their data. Despite many visualization packages being available in Python, it is not always straightforward to make beautiful stand-alone and interactive charts that can also work outside your own machine. The key advantage of D3 is that it works with web standards so you don’t need any other technology than a browser to make use of D3. Importantly, interactive charts can help to not just tell the reader something but let the reader see, engage, and ask questions.


This blog outlines how you can build your own stand-alone, interactive force-directed D3 network using Python. Note that the steps are similar to any other D3 chart. If you need a readily working version, the d3graph library is for you!

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