Check out this link from reddit.com/r/internetisbeautiful.
The creator unprojected Escher's "Hand with Reflecting Sphere" onto a 3D environment, then put the ball in the center as a demo for three.js. I don't know about you, but that's the kind of thing any career needs - little bit of creativity, little bit of math, and a lot of awesome.
Friday, December 26, 2014
Saturday, October 4, 2014
Visualizing Gender Break Out by Profession
538 used Census data to show the gender breakout by profession. Very good! Let me excerpt the most important parts:
The patterns are pretty obvious to me, which is the sign of a good info-graphic. To anticipate a few of your questions:
- Yes, drillers of earth is the most awesome job you've ever heard of.
- A boilermaker fabricates steel plates
- Turns out that @BeckerMN is part of the 2.3%
Saturday, July 19, 2014
Geek vs. Nerd
I disagree with how often the terms "nerd" and "geek" are self-applied, but I have to appreciate a good study of their difference when I see one.
Burr Settles defines the difference:
Find the full article on the Slackpropagation blog - definitely click through to read more of his conclusions.
Burr Settles defines the difference:
"The distinction is that geeks are fans of their subjects, and nerds are practitioners of them."...then uses Twitter data to back his assertion up by calculating the "point-wise mutual information" of nerd and geek with other words to illuminate what Twitter thinks is "geeky" or "nerdy".
"Moving up the vertical axis, words become more geeky (“#music” → “#gadget” → “#cosplay”), and moving left to right they become more nerdy (“education” → “grammar” → “neuroscience”). Words along the diagonal are similarly geeky and nerdy, including social (“#awkward”, “weirdo”), mainstream tech (“#computers”, “#microsoft”), and sci-fi/fantasy terms (“doctorwho,” “#thehobbit”)."
Find the full article on the Slackpropagation blog - definitely click through to read more of his conclusions.
Saturday, May 10, 2014
Life in Weeks
Had a decent visualization of life forwarded today:
http://waitbutwhy.com/2014/05/life-weeks.html
Be warned, the second half of the article gets a little preachy and motivational. But the grid view of weeks in a typical human's life is awesome:
I'm marveling at the simplicity. The KISS principle in action, I'd say.
http://waitbutwhy.com/2014/05/life-weeks.html
Be warned, the second half of the article gets a little preachy and motivational. But the grid view of weeks in a typical human's life is awesome:
Source: What But Why
I'm marveling at the simplicity. The KISS principle in action, I'd say.
Saturday, April 19, 2014
Fantastic Report
Ars Technica recently posted a study on PC Game Sales:
Essentially, they found a way to systematically sample the profile pages of all Steam users, scraping games in library + hours played:
Right now, I can tell you that about 37 percent of the roughly 781 million games registered to various Steam accounts haven’t even been loaded a single time. I can tell you that Steam users have put an aggregate of about 3.8 billion hours into Dota 2.
Essentially, they found a way to systematically sample the profile pages of all Steam users, scraping games in library + hours played:
[We] scrape through more than a 100,000 pages a day. Using our knowledge of the Steam Community ID structure (and some light PHP/MySQL coding), we’ve been conducting what amounts to a rolling, randomized poll of the Steam user universe for about two months now.Just exactly the kind of thing I enjoy. The article goes on to describe their findings, the risks, and key insights their data scraping provides. I know I'll be bookmarking it as a guideline for my next project - both at work and in my personal "futzing" around.