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Brian Suda is a Master Informatician based in Iceland working on Upplýsingamiðlun, or data visualisations. He’s the author of Designing with Data, which is an introduction to those who have to create charts and graphs for a living, but could be doing it better.
Brian talks with us about collecting data, the growth in the data and technology sector, the difference between data visualisations and infographics, and the importance of telling a good story. He also provides great tips on getting started in this exciting field and some resources for listeners.
A data visualization, when done well, can be an incredibly powerful way to communicate information. It ultimately boils down to the choices you make in how to design and present the data. If you make the wrong choice you can run the risk of not accurately displaying the data or struggling to effectively tell its story.
Brian Suda, author of A Practical Guide to Designing with Data, believes experimentation is a big part of arriving at the right choices. As ideas end up on the cutting room floor, not only do you arrive at a great visualization, but you’re building your toolbox along the way. This practice and experimentation leaves you with a template to apply to future projects.
Essentially, arriving at the right choices now allows you to make better choices later. If you learn the best ways to represent different types of data, you can then apply that knowledge to any data sets you may have to visualize.
Brian will be sharing his insights on data visualizations in his virtual seminar, The Design Choices You Make for Information: How to Create Great Data Visualizations, on Thursday, May 17. You won’t want to miss out on Brian’s pragmatic tips and techniques. Save your spot in Brian’s seminar.
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Creating visualizations from data can be a powerful and intriguing way to present findings. But way too many design teams sit on vast amounts of data. They also spend entirely too much time making static images rather than interactive tools.
In his virtual seminar, Data Visualizations that Pack a Punch, Brian Suda outlines different types of meaningful data visualizations, from charts and graphs to more interactive models. He also discusses the importance of using the right tools and newer technologies and higher resolution displays as they emerge.
The audience asked a slew of great questions during the live event. Brian comes back to chat with Adam Churchill and tackle some of those questions in this podcast.
How do you approach accessibility challenges, such as color blindness? How do you communicate that the data you’re presenting is “fresh”? Is there a good way to demonstrate the ROI of good visualizations? What can you do to encourage people to start exploring and using data? Are there any examples of companies currently using visualizations well? Should you try to do this in-house or is it better to outsource to an agency? What is the best way to get started? Recorded: August, 2013