I'm happy to provide that service. But that's the power of it. A good infographic that's been really worked on looks simple and easy, but it actually required a lot of processing.

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'm happy to provide that service. But that's the power of it. A good infographic that's been really worked on looks simple and easy, but it actually required a lot of processing.

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.

Some of the commercial work I do is helping people to improve their presentations and add some design thinking. There are so many amazing things in science, and such great data, which can often be locked away. It's in the minds of these amazing practitioners, who can't necessarily express what they want in a visual way.

What I tend to do is blend quantitative with the qualitative to allow me to plot the qualitative data in some way. It's a question of what quantitative data are most applicable. So I'm playing with that, merging the two.

For years I thought I was just a writer, but when I sat down to design and started playing around with it, I realized that, really, it's pretty easy. Obviously it's more than just a set of rules, but the basics of design are actually pretty simple and quite mathematical. The link between data and design works at quite a fundamental level.