ZingChart + Your Framework or Database

By | Published: June 30th, 2015

Here at ZingChart, we understand demos are important, and not just for new users. Long-term ZingChart users also rely on demos. Whether you’re discovering new features or learning the ins and outs of one feature in particular, a working example is almost always guaranteed to be more helpful than a blob of text. That’s why we have always worked to provide meaningful, contextual demos, from our style-focused Gallery to our feature-focused Kitchen Sink, and all of the demos in between.

Lately, we’ve been working to bring you new demos that focus on more niche topics like using ZingChart with data from various databases and in conjunction with different web frameworks. Read on to see if we’ve covered what’s in your project toolbox and let us know if we haven’t!

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Adding Interactive Charts in Backbone.js

By | Published: June 25th, 2015

While there is plenty of buzz about “hot new” JavaScript frameworks, Backbone.js. remains a solid option for web applications. Released in 2010, Backbone is one of the oldest modern  (relatively speaking) front-end frameworks. It is also tiny in comparison to Angular, Ember, and React: only 7.3kb, minified and gzipped. It’s sole dependency, Underscore, is 5.7kb, minified and gzipped. The age of the framework and minimal dependencies piqued the interest of the ZingChart team and the possibilities for including an interactive dataviz component within Backbone apps.

Backbone also provides a simple, minimalist structure to your app. We used that minimalist style with our Backbone extension. It is a simple, clean solution for integrating ZingChart’s interactive charts within a Backbone project.

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Boxplot Charts and Big Data

By | Published: June 18th, 2015

Handling large data sets can be a daunting task. When facing thousands, tens of thousands, or even hundreds of thousands of data points, you must decide the best way to represent this data in a concise, easily interpretable way. The ZingChart team faced this exact challenge after collecting information on every Olympic athlete that has competed in the Summer and Winter Olympic Games since their inceptions. Read on to see how we used our new boxplot module to hurdle over this obstacle.

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