The Design of Information

I’m adding a few more graph samples from the Gender Diversity study, pertinent to an interesting discussion of appropriate line graph scales on Alberto Cairo’s The Functional Art blog and a discussion of slopegraphs on Andy Kirk’s Visualising Data blog.

For the Gender Diversity study, we chose to use a 50% maximum for the scale of the line graphs, with the idea that 50% represents parity. I suppose that sends the subtle message that parity is what we are shooting for, so you can visually see how far the line is from parity. For female representation at the largest U.S. companies, those lines are mostly still quite far below the 50% line, which makes it a little difficult to get a good sense of recent change. For some of the data, we included the average number of women in a position over time, using a scale which comes closer to Cleveland’s 45 degree optimum

I think I was first introduced to slopegraphs in Alberto Cairo’s book, The Functional Art (a book I recommend to anyone wanting to do a better job of presenting data). We used them to show the change of women in key positions from the beginning to the end of the survey period. “GC” is for General Counsel – the other abbreviations are probably more familiar.

I posted about the wind map of the United States a while back. Now there’s a global wind map. Mesmerizing.

First impression: it’s a whole lot more windy over the oceans than it is over land. Intuitively obvious (even to the casual observer, as an old friend used to say), but the visualization drives the point home instantly. Now, what happens if we combine global wind data with ocean current data? It would be interesting to see how they interact.

Thanks to Andy Kirk at Visualising Data for pointing this out.