audience

You spent time and effort on a data project and it ends up in unexpected places. Do you just shrug and let it pass or do you try to get a handle on the work so that it’s not misconstrued out of context?

In the land of what-if and what-about, it’s surprisingly easy to get stuck staring at your work, thinking about how your audience will hate it. You have to let it go.

Learn about who is looking at your work and how they interpret it.

You know what they say about assumptions.

With fewer people in mind, you can visualize data with fewer trade-offs and greater focus.

It is okay to fill the void with something fun.

Communicate to fewer people to reach more.

The discussions this week felt familiar. Probably because we’ve seen this many times, since the beginning of charts themselves.

It’s a shift from answering “What is this data?” to “So what?”

When you visualize aspects of the data instead of just the data itself, what you show grows more obvious.

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For The Atlantic, Ian Bogost on communicating complex ideas to an audience:
One…

The visualizations are used and read differently, which requires that you approach their design differently.

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.

Reading visualization research papers can often feel like a slog. As a necessity,…

Visualization as template-filling content is lazy visualization that no one draws benefit from. Give people a reason to care.

Jonathan Corum, the Science graphics editor at The New York Times, talks about…

This is great. Daniel Goddemeyer and Dominikus Baur made Data Futures, which collects…

After attending the Eyeo Festival, Zach Gemignani of Juice Analytics noticed a difference…