Data is the new oil? No: Data is the new soil.

Sometimes the data has a sense of a structure within it, especially if I'm looking at networks or relationships, which generally lend themselves to a certain style.

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.

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.

The classic one for me is one of my favorite images - left-versus-right political-spectrum image. I was trying to visualize the concepts on the political spectrum. I'm left-leaning, and I discovered as I was doing it that I had an impulse to make the left-hand side appear better than the right-hand side. That was manifesting in the way I was choosing certain words, framing certain ideas. I shared it with a few people, and they all said, "Oh my God, this is really biased." I hadn't seen it at all.

Often I forget that design is really about removing things: optimizing the flow of information, the display, so there are the fewest elements possible, but still they preserve the essence of the subject.

There's a tendency in graphics to allow the trimming of certain parts. But I think that if you're open about your process, your methodology, such as introducing thresholds, introducing filters, techniques people use in research and data management, it's legitimate. It's legitimate to say, "We're only going to show data above this level, or between levels."