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D3 is not the best option for pre-baked charts. This is largely because creating complex data visualisations requires you to have a low-level understanding of the visualisation you want to create. Developers often complain about the low-level understanding required to be effective with D3. Building something as simple as a bar chart requires you to manually assemble the axis, scales, ticks and even draw the rectangles that will represent the bars.
![open source vector image open source vector image](http://www.clipartbest.com/cliparts/9cR/5zj/9cR5zjXoi.png)
The learning curve can be steep and the code can still feel verbose. The power of D3 comes with the trade-off of complexity. There are also modules for arrays, shapes, colours, drag-and-drop, time and much more. For instance, the selection module is called d3-selection. Each component of D3 is its own Node module that must be imported. It has its own DOM selection, AJAX capabilities and even a proprietary random number generator. Better yet, visit Shirley Wu's interactive visualisation (opens in new tab) of every line in the musical Hamilton if you really want to have your mind blown.ĭ3 is an all-encompassing tool. You only need to glance through its examples page (opens in new tab) to see the world of possibilities.
![open source vector image open source vector image](https://vectorified.com/image/open-source-vector-images-25.jpg)
And, let's face it, isn't that when you know you've made it to the big time?ĭ3 enables you to build data visualisations of any kind. It even has its own Wikipedia page (opens in new tab). With over a million weekly downloads on npm (opens in new tab), it is quite possibly the most well known and widely used of all the graphics libraries. D3.js provides boundless possibilities, as Shirley Wu's interactive Hamilton visualisation demonstrates (Image credit: D3)ĭ3.js (opens in new tab) is the big boss of JavaScript graphics libraries.
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