I use R and ggplot2 for my visualizations (coincidentally those are also the tools used for the linked paper). Most of my visualizations are on my blog. (check HN profile)
To the author: scientific notation (with only 2-3 digits of precision) would make most of this much more readable. Also avg and std deviation are usually more informative than avg + max. Or better yet just make a histogram (probably with log axes). Cool article!
> My personal opinion is that profiles should be set as private by default as people don't often investigate the options they have, even i didnt realise my profile could be viewed publicly by the rest of the world.
It always seems to be on any site where you have to create a profile, by default it'll be exposed to google.
I really wish there was a checkbox at the end of a registration form that said something like "Show Publicly". I'd wager most people would leave it unchecked.
Is that worse than it being available to logged-in users?
Sure, you can't control what randoms on the Internet might look at your public profile, but you can't control who signs up for OKC accounts and looks at your private one, either.
I looked through it and it's very robust. I should have a few data visualizations up using it soon.