audience
4 posts
The visualizations are used and read differently, which requires that you approach their design differently. Read More
Consider your audience. Yes. But at some point in the visualization creation process, you have to disregard all of the feature requests and design suggestions. Read More
Reading visualization research papers can often feel like a slog. As a necessity, there’s usually a lot of jargon, references to William Cleveland and Robert McGill, and sometimes perception studies that lack a bit of rigor. So for practitioners or people generally interested in data communication, worthwhile research falls into a “read later” folder never to be seen again. Multiple Views, started by visualization researchers Jessica Hullman, Danielle Szafir, Robert...
Visualization as template-filling content is lazy visualization that no one draws benefit from. Give people a reason to care. Read More
Jonathan Corum, the Science graphics editor at The New York Times, talks about his experiences communicating scientific research to the public. Much of visualization design is about figuring out the audience and making graphics for that audience, so Corum uses a lot of examples that start from technical research papers and finish with a more focused result. Tags: audience, Jonathan Corum
This is great. Daniel Goddemeyer and Dominikus Baur made Data Futures, which collects multiple choice answers from audience members and then allows the speaker to interact and visualize the results on stage, as well as highlight audience members. I’m imagining this project restructured in a college statistics course with several hundred unwitting students. Seems like a great learning opportunity. Tags: audience, mobile, talk