I would start with an fairly recent tutorial written by Bostock himself: <a href="https://observablehq.com/@d3/learn-d3" rel="nofollow">https://observablehq.com/@d3/learn-d3</a><p>A point I personally needed to grasp back when I first worked with D3 was that the data drives the visuals (hence <i>data-driven</i> documents). It was not an animation library. It's also not a charting library, but some charting libraries are built on top of D3.<p>Lastly, the D3 wiki also contains links to other tutorials, but they're most likely running on v3:<p><a href="https://github.com/d3/d3/wiki/Tutorials" rel="nofollow">https://github.com/d3/d3/wiki/Tutorials</a>
I have recently taken up a project to build out a dashboard for realtime data analytics. I did some exploratory research of the available data analytics frameworks mainly in Python. I found Plotly to be very popular. How much extra work would it be to just use D3 on the frontend with a standard python web server on the backend versus using just the Plotly library?
I liked this book:<p><a href="https://www.newline.co/fullstack-d3" rel="nofollow">https://www.newline.co/fullstack-d3</a>