Simplification seems to be the removal of objects for the goal of making a graphic as clean and uncluttered as possible. Whereas, with optimization, it feels like there's more intelligence in that. It maintains the usability, but tries to distill something down to its essence. But with some data-sets you have to be careful because, as with linear, print journalism, it's easy to shave off facts that don't quite fit the flow.

I have a computational quality to my mind, I suppose. When I was a kid, I was obsessed with video games. I reprogrammed games, and this eventually landed me a column in a magazine. That's how I got into print journalism: writing about video games.

We've seen it in the last U.S. presidential campaign 2016: both sides were trading graphs and circulating data visualizations to make their point. So the political establishment is waking up to the power of a good graph as well.

Design has a powerful impact on the viewer. It has authority, and data also has the same air of authenticity and detail. It can be hard to argue with a graph, and it's hard to argue with data. So to combine data with a strong visual impact creates a powerful message.

If you want to visualize something in its fullness you have to look at every perspective and every angle, and that means - sometimes uncomfortably - looking at things you don't want to look at.

I was a freelance journalist, and it was a struggle because I had to pitch all the time, research, and stay on top of subjects.

I'm doing a lot of cognitive processing. I'm gathering research. I'm processing it. I'm arranging the data. I'm sorting out the narrative. I'm designing. It's almost as if I do all the cognitive work that you then don't have to do. I digest it, process it, and then offer something that's very easy for you to digest.