Internet/tech Archive:

Aesthetically this is obviously quite nice. The roll-over data is snappy quick. The color selection is clear and intuitive. But there’s something about these nested arc charts that I just don’t like – they don’t seem like a very good way to illustrate historical data. It was created as a simple example of the Axiis data visualization framework – which offers several other Flex based graphic tools. (Hat tip to Ryan C for sending this along!)

image

It’s embarrassing how many times I’ve failed to memorize this stuff properly.

image

(via CoolInfographics)

A brilliant chart of computer sales. Note the log scale!

image

There’s also an animated version (but I like the static one better):

Here’s a look at the same data in terms of market share:

image

(via Ritholtz)

New research by Facebook based on user friends, reveals that there are not 6 degrees of separation between you and everyone else – but only 4.74. Other interesting tidbits: the distance is shrinking: in 2008 it was 5.28. If you just look at the United States, it’s only 4.

image

… 84% of all connections are between users in the same country. We also find that people tend to have a similar, albeit typically smaller, number of friends as their neighbors, and tend to be about the same age.

image

Eric Fischer analyzed twitter meta data for location and language and ended up with a pretty good approximation of the normal geopolitical borders. He chose grey for English, since they speak that everywhere – it would be interesting to see a map of just English. There’s also a world version. (via FlowingData)

image

Ripples is a new visualization feature of Google+ which shows the propagation of posts across different users. Circles within circles indicate resharing. The easiest way to see this is to go into your Google+ stream, select “What’s Hot” from the list on the left, then click on the little arrow in the right hand corner of any post and select “view ripples”. You can click on a timeline at the bottom and watch the post spread, and also see some summary stats about influencers. (and yes, none of my friends are using Google+ much either, which is why this only looks good on public “what’s hot” posts)

image

Even though the “content limit” is only 140 characters, each tweet actually contains a crazy amount of meta-data. (related Economist article; via The Big Picture)

image

Cornell researchers analyzed mood content in 2.4million tweets (based on word choice) and found that Saturdays and Sunday garnered the most positive expressions and Mondays the most negative – well, during the day anyway. Interestingly, Saturday and Sunday nights were way up (down) there too. On a design note, perhaps the lower graph should have inverted the scale?  (related article)

image

What is shocking to me is that there are 12 states with no shortfall.

image

Note: Some Financial Times features require a subscription.

An excellent flowchart.

image image

From the same artist: “So you found something cool on the internet”:

image image

If you care about SEO, this is kind of interesting. Personally, I think it’s a chart of which industries are clearly taking too much money out of our pockets if they can afford to pay that much per click.  I’d love to suggest we all click on every insurance ad we see just to stick it to them – but they’d probably just raise our rates to makes up the difference. (via)

image

Interesting chart of how companies, employees, and acquisitions are all intertwined in the tech industry. Pay attention to which way the arrows are pointing (they look just like lines at first).

image image

(via)

How do they compare?

image

Believe it or not, when I title my posts, I do occasionally try to show mercy to my readers who are already skittish about browsing “chartporn.org” from work. This is one of those times. You’re welcome.

I like that they normalized the results to account for volume.

image

Interesting history of falling hard drive price and internet bandwidth costs. It is the bottoming out of these graphs that is making cloud computing possible. Thanks to David V. for the link!

image image