It is being used heavily by media and data visualization companies like MTV, NY Times, The Guardian has been used for use cases involving Big Data Analytics like US Elections and FIFA World Cup prediction visual models , IOT Streaming data.Is rated as the top data visualization libraries and has gained from the popularity of SVG graphics. However with the flexibility and power there is a high learning curve for D3 This project aims to learn the core concepts of D3 and look at the various D3 related frameworks which are based on it or work with D3 like NVD3 , DC , Crossfilter, Mapping tools like LeafLet.
- D3 and related frameworks are a defacto standard for Big Data and Analytics related visualization. For example Kibana is based on D3. There would be requirements for maintaining or extending D3 related frameworks for Analytics Dashboards. This is where it will be of great benefit
- You should use D3.js when your webpage is interacting with data.
- The POC demo can be used to show capability in this area.