audience
10 posts
Welcome to issue #166 of The Process, the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and this week my attention span is hanging on to dear life as we head towards Thanksgiving here in the U.S. I’m also thinking about the often missed next step to making the numbers more than just numbers. Become a member for access to this —...
Welcome to issue #162 of The Process, the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and this week I’m less interested in the data and more interested in aspects of it. Become a member for access to this — plus tutorials, courses, and guides.
For The Atlantic, Ian Bogost on communicating complex ideas to an audience: One thing you learn when writing for an audience outside your expertise is that, contrary to the assumption that people might prefer the easiest answers, they are all thoughtful and curious about topics of every kind. After all, people have areas in their own lives in which they are the experts. Everyone is capable of deep understanding. Up...
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