#SWDchallenge: visualize uncertainty
People like things that are concrete and certain: and so, when we plot our data in a solid point, line, or bar on a graph, it’s easy for people to consider it “truth.” There are times when that is appropriate, and times when it definitely isn’t. Many times, there is uncertainty that we ought to convey in order to provide a more complete picture to the audience. This month’s challenge requires you to identify a scenario and data where there is inherent uncertainty, and design a visualization that makes that clear.
you can take it with you
This month, we offered you an #SWDchallenge created by author, speaker, and technical evangelist Andy Cotgreave, and centered around the way more and more of us are consuming our information: via our mobile devices. While large-format desktop monitors likely won’t be disappearing anytime soon, we must consider mobile devices as a common form factor for all types of personal and professional communications—including charts. More than 20 people took on the task of identifying a visualization they originally created for a desktop viewing experience, and re-factoring it to be useful on a mobile device.
forty-five pie charts? never say never
Here at storytelling with data, we have been known to say things like, “The only thing worse than a pie chart…is two pie charts.” And yet, believe it or not, we’ve found a data visualization that we think succeeds in using not one, not two, but forty-five pie charts. How could this possibly be?
#SWDchallenge: redesigning for mobile
Most of us are lucky to have large screens or multiple monitors to design on. The temptation to pack loads of information into a display is difficult to resist. But resist we must: mobile is mandatory. As such, your challenge this month, from guest contributor Andy Cotgreave, is to find a chart or dashboard you originally designed to be consumed on a monitor, and redesign it for mobile.
recapping radials
Over fifty readers submitted their radial charts with topics ranging from music to exercise to climate change and much, much more! Participants were largely united in their evaluation of this challenge: finding a dataset that lends itself to a circular view is hard! Click the full post for all examples submitted and more discussion on data visualization vs data art and the feedback process to determine your visual is working as you intended.