Since most interactive infographics have much more data than other data visualizations, the interactivity allows users to explore the dataset for themselves, sometimes even allowing them to enter their own data to personalize the visualization for their own situations.

Most interactive infographics achieve the “interactive” part by providing details on mouseover, clicking and scrolling, swiping on a touch screen, moving or tilting as with a remote or using an iPhone, or giving different coordinated views upon pan or zoom, such as when dragging causes the data to be filtered.

How to Create Interactive Infographics

There are a number of online tools that can help you create interactives.

And, of course, there’s always D3: a fairly new language for designers and programmers working on creating interactive visualizations out of large data sets. We love D3 and use it all the time. D3 is the foundation of Visually’s tools, now and in the future.

Interactive Infographics Tutorials

We’ve done step-by-step tutorials on using D3 in the past — including this short video about using selections with d3.js to make data-driven visualizations. We’ve also offered introductory D3 workshops in San Francisco. The recap is here on our blog. In addition, we’ve had blog posts from prominent visualizers on how to create animations and transitions in D3.

The effort involved in creating an interactive infographic is much higher, good examples are easy to find with a quick web search. And web-based data visualization tools are making it easier to create interactive infographics but they still require effort – especially when multiple datasets are being compared.

Need help creating an interactive infographic? With Visually’s fixed prices, you know exactly what you’re paying for and how much it will cost you. Contact us today.

Interactive Infographic Example:

Interactive Map Visualisation - Quality of Care in England