Top 11 Tools and Libraries for Data Visualization in 2020

In the era of cloud computing, we humans have been exposed to unprecedented amounts of data which also brings in the opportunity to improve processes and approaches by analyzing past data. To analyze that much amount of data we need to represent it graphically, filter the meaningful data and establish relationships with data visualization and business intelligence tools.

Top 11 Best Tools for Data Visualization in 2020

The article discusses the “top 11 best tools and libraries for data visualization in 2020” and the use cases where they can be used efficiently.

1. D3 js

D3 js an acronym for data-driven documents is a javascript library for creating interactive dynamic data visualization on web browsers. D3 js manipulates Document Object Model (DOM) nodes in a similar manner to jQuery hence its learning curve is quite less for those who know HTML, CSS and jQuery. The supported input data formats for D3 js are JSON, geo JSON and CSV but custom JavaScript can be written to develop support for other formats.

2. C3 js

C3 js is a reusable JavaScript library for data visualization that is based on D3 js. C3 js makes it easy to generate D3-based charts by wrapping the code and providing an abstraction over it. C3 gives some classes to each element while generating them so you can define a custom style by the class and it’s possible to extend the structures with D3 js. C3 provides a variety of APIs and callbacks to access the state of the chart and update it even after rendering.