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Data Visualization with D3; Everything you need to know

Even though there is a lot of data available to us in this modern era, not everyone knows how to use it. People rely mostly on their vision. As a result, data presented graphically is more convincing than data given as simple figures. Good visuals may draw people in, but long columns and rows of numbers can just make them confused. To enable these visualisations and statistics practical, we need frameworks or libraries for the contemporary languages. In this scenario, D3.js can be helpful. But, what is D3 and why is it popular when it comes to data visualisation? Read further to the answer.

What is D3?

D3 or Data-Driven Documents is a JavaScript package used to build interactive browser visualisations. The D3 package allows us to alter browser components within the context of data collection. These components can be HTML, SVG, or Canvas components, and can be added, deleted, or altered based on the data set’s contents. It is a DOM object manipulation library. D3.js may be a useful tool for data exploration since it allows you to choose how your data is represented and include interaction.

Key benefits

  • The D3.js library is a Javascript library. As a result, it can be employed with any JS framework, such as Angular.js, React.js, or Ember.js.
  • D3 is the most suited and specialised tool for data visualisations since it focuses on data.
  • D3 is an open-source project. As a result, you can modify the source code to include your own features.
  • One of the primary features of D3 is that it allows DOM manipulation and is adaptable enough to dynamically adjust the attributes of its operators.
  • Data driven technique enables D3 to gather data from several web nodes or servers and analyse it further before rendering visuals.


The best way to communicate important information is through visual representations of the data, and D3 makes this process incredibly simple and flexible. It requires little effort, is dynamic, and is intuitive. If you want to get deeper insights into data visualization with D3, leave a comment below or contact our professionals at Princeton IT Services.