Collection of posts from those who build Dashbouquet
Data has gradually become a very important aspect tool in the world today.
Data is driving the world, and at this stage when the world is being held to ransom by data and the web, it only makes sense to read information into the lots of data being generated out there.
The three major drawing tools that article talks about include Processing.js, Raphael.js and D3.js
It also has a setup() and draw() function, used to initialize the application state and draw on the canvas element respectively.
The process of learning to use the processing.js framework is beyond the scope of this article. However, the online reference can be found here.
It is encouraging to know that:
As powerful as this tool is, it is said to be the least powerful of the three frameworks to be discussed in today’s article. That takes us to the next framework.
Raphael’s strongest point is said to be its ability to allow for easy drawing. To make use of Raphael, all you need is a browser and text editor. However; that’s not the most exciting part.
Raphael works directly with browser’s built-in graphics language known as Scalable Vector Graphics (SVG).
However, the main reason Raphael is compatible with older browsers is that it works well with a format known as Vector Markup Language (VML).
Raphael.js is a more popular framework than Processing.js. It also has lots of users in the data visualization community and you would have people to turn to whenever anything goes wrong. It is open source and would definitely be improved upon, there is nothing to fear, Raphael is one for the future. All these most likely give Raphael.js an edge over other data visualization frameworks out there.
One more thing, Raphael has an easy learning curve and can be used almost immediately. That takes us to the next one which is said to be the best framework for visualization but has a steep learning curve.
D3 stands for (Data Driven Documents) and as the name implies; is well packaged for data visualization purposes. It translates raw datasets into visualization and works seamlessly with Microsoft Excel. D3 was created by one of the leading evangelists of web data visualization, Mike Bostock. Just like Raphael.js, D3 works with SVG and has the visualization shapes as part of the DOM (Document Object Model). Meaning you can style and design your data, making use of Cascading Style Sheets (CSS).
D3.js is based on HTML, DOM, CSS, SVG and also supports Canvas. D3 has lots of other frameworks built on it that allow for drag and drop. D3 is a great tool to invest in for the long-term, to create your own libraries that you can then use to speed up the creation process. For data visualization purposes, the most important interaction with SVG is to bind data to them, D3 allows for the rewriting of data wrapper around them.
Tools built on D3 include MetricsGraphics, Epoch, Vega, NVD3 and much more. These tools can be used instead of learning the D3 from scratch. To get started with D3 head to the D3 website and download the latest version.
Still not sure of what framework to choose?
When deciding what framework to use for your data visualizations, you have to know your priorities. Hopefully, the following pros and cons would help you define them:
Want to learn more? Check out here