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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