Solutions

It’s been almost two months since we launched Nightingale, and we’ve learnt a lot in that time.

We’ve learnt that there’s a real appetite for high-quality articles about information design. We’ve learnt that people aren’t as confused about the name as we feared they might be. And we’ve learnt that our most successful articles are those in which we solve problems.

That problem might be “How do I get started with dataviz?”, which Krishna P from Gramener tackled for us a couple of weeks ago.

It might be “What do I need to consider while building a physical dataviz?”, which was answered in great detail by Richie Lionell.

Or it might be “How do top data visualization experts work their magic?”, which Jason Forrest answered in an extensive interview with Nicholas Rougeux.

One might even ask “How can I visualize complex data sets?” and find inspiration from the work of Giorgia Lupi.

Andy Cook asked other DVS members for their views on “What Makes a Data Visualization Elegant?”

Phil Hawkins has some advice for our members who may feel stuck or are struggling with Imposter Syndrome: “Draw the Rest of the Chart.”

Paul Antoine Matos used dataviz to show the historical presence of indigenous people in Mexico with “Mapping Mexico City’s Indigenous People.”

And Todd Whitehead explored the relationship between injuries and rest in the NBA, asking “Can Data Viz Help Find a Balance?”

But those are just some of the articles we’ve published lately. Check out the rest on our homepage.

Oh, and if you think you have a good solution to a common dataviz or information design problem, then we’d love to help you turn it into an article. Here’s how to write for us. We can’t wait to hear from you.

Duncan Geere ~ Editor at Large, Nightingale