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data visualization tools
source: D3.js – Data-Driven Documents

Of all the data visualization tools available, D3.js is arguably the most powerful.

The D3 stands for “Data-Driven Documents.” While the number of types of graphs, charts and other visualizations is probably limitless, there is a fairly steep learning curve: you have to know some basic JavaScript programming for Web pages. Which means that having a working understanding of HTML and CSS (Cascading Style Sheets) goes a long way towards successfully using D3.js.

Some examples of possible visualizations are in the banner image above. Created by Mike Bostock, there are dozens of examples on his “bl.ocks.org” site. As well, there is a D3 Gallery hosted on github.com — where the JavaScript library code is available.

As for the learning curve, while the examples might make it easier, fortunately, there are several JS (JavaScript) data visualization libraries built over top of D3.js and which simplify the effort even more. However, you still need a basic understanding of at least how to add a JS library to an HTML web page and how to use the code.

This is just an introduction to D3’s existence. In later articles, I’ll get into examples using real data, as well as talk about simpler ways to create interactive charts, graphs, etc., for Web pages.

Data Visualization Tools – D3.js

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