Ok, there’s not much charting going on here, but there is a whole lot of fascinating data on Google ad revenue, as compiled by search marketing company WordStream. It is stunning what companies are paying per click for some of these keywords. In revenge for years of mediocre service (and because it was fun), I just went and searched for “high speed internet deals” then clicked on Comcast’s ad – supposedly costing them >$20. That’ll teach ‘em!
Design wise, this is pretty good. I might have shrunk (or killed) some of the clipart, made the fonts bigger, and tossed in a bar chart at the top instead of those “kind of looks like a chart but isn’t” ribbons – but overall, it works.
An interesting (ok, quick poll: should I stop calling things interesting? I only post stuff I think is interesting – seems a bit redundant, no?) long term look at new technology. At first look, it’s a bit boring and geeky – but the interactive popup descriptions really flesh it out. It would be easy to quibble about where things fall on the timeline, but overall I really enjoyed reading about all the hypothetical tech. Now that we have realized most of the science fiction from the 1900s, it was nice to see that we still have ways to dream and imagine. (via)
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!)
It’s embarrassing how many times I’ve failed to memorize this stuff properly.
A brilliant chart of computer sales. Note the log scale!
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:
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.
… 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.
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)
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)
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)
What is shocking to me is that there are 12 states with no shortfall.
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