From Analytics Vidhya:
Data Visualization is the way a data scientist expresses himself / herself. Creating a meaningful visualization requires you to think about the story, the aesthetics of the visualization and various other aspects.
If you are planning to create custom visualizations on the web, chances are that you’d have already heard about D3.js. A web based visualization library that features a plethora of APIs to handle the heavy lifting of creating advanced, dynamic and beautiful visualization content on the web.
In this article, we would learn some of D3’s powers and use them to create magic of our own! By end of the article, you will be able to create awesome stories for yourself!
This article is a continuation of my previous article, Beginner’s guide to build data visualizations on the web with D3.js . Which I would recommend you to read before going further for a better understanding.