Data visualization is the presentation of data in a pictorial or graphical format. The primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics.
What is D3.js?
Why Do We Need D3.js?
D3.js is one of the premier framework when compare to other libraries. This is because it works on the web and its data visualizations are par excellence. Another reason it has worked so well is owing to its flexibility. Since it works seamlessly with the existing web technologies and can manipulate any part of the document object model, it is as flexible as the Client Side Web Technology Stack (HTML, CSS, and SVG). It has a great community support and is easier to learn.
D3.js is one of the best data visualization framework and it can be used to generate simple as well as complex visualizations along with user interaction and transition effects. Some of its salient features are listed below −
- Extremely flexible.
- Easy to use and fast.
- Supports large datasets.
- Declarative programming.
- Code reusability.
- Has wide variety of curve generating functions.
- Associates data to an element or group of elements in the html page.
D3.js is an open source project and works without any plugin. It requires very less code and comes up with the following benefits −
- Great data visualization.
- It is modular. You can download a small piece of D3.js, which you want to use. No need to load the whole library every time.
- Easy to build a charting component.
- DOM manipulation.
In the next chapter, we will understand how to install D3.js on our system.