This is such a wonderful infographic
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If you’re looking for a way to visualise migration patterns, look no further, this interactive site (all in HTML5) is incredible!
The layout and use is simplicity itself
I avoid the Mac vs PC debates, each have their merits, each their downfalls, but this is an interesting infographic, as it’s about the differences between the Users not the Operating Systems… do you recognise yourself below… or worse still, like myself, do you recognise yourself here!
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Seth Godin posted an interesting graphic yesterday that caught my eye, a perfect example of data mining (sorry couldn’t resist that one)
It’s not that surprising when you think about it, but let’s look at another example, Death Rate by Mode of Transport in the UK… (NB: Flying doesn’t appear, as it’s so low, less than 0.02%). Motorcycles are the unsurprising leader, although the gap between Cars and Motorcycles is frightening! We’re constantly reminded to wear cycle helmets when we’re riding, yet you’re more likely to get killed when walking than when riding a bike! It would be interesting to add Skiing & Snowboarding to this list, but I’ve not been able to find any data on that yet, but I’m looking, if you find anything, let me know. In the meantime, my advice, no more texting or using your mobile while walking, it’s dangerous out there!
Motorcycle: 88.8 / Walking: 30.9 / Bicycle: 24.2 / Car: 1.9 / Van: 0.5 / Bus or coach: 0.1 / Rail: 0.3 / Water: 0.9
You may have worked out by now that I’m a statistics and infographics junkie… so here is a brilliantly executed interactive infographic that highlights the predicted age by percentage of various nations… as you will see, Japan, South Korea and Italy will have a very different looking population by 2050, compared to today
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At the Black Hat Security Conference, Lookout unveiled the App Genome Project, which is the largest mobile application dataset ever created. In an ongoing effort to map and study mobile applications, the App Genome Project was created to identify security threats in the wild and provide insight into how applications are accessing personal data, as well as other phone resources. Lookout founders John Hering and Kevin Mahaffey initiated the App Genome project to understand what mobile applications are doing and use that information to more quickly identify potential security threats.
With the prevalence of mobile devices, they have become inherent in our lives, the more we depend upon the information stored within them, the greater the risks posed when this information falls into the wrong hands. Is this something you should be concerned about? Your Identity Matters, but how much it matters is up to you.
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The video shows the mood in the U.S., as inferred using over 300 million tweets, over the course of the day. The maps are represented using density-preserving cartograms more info here
Before I go any further I should inform you, that I’m entirely apolitical, I honestly couldn’t care less about politics, or which political party is in power, but I do believe in democracy, and care about equal rights and fairness
As the Conservatives campaign slogan states “It’s Time For Change”
And they’re not wrong, but it’s not necessarily the government that needed changing, but the way they were elected! Look at the figures below, Conservatives get 36% of votes, but that equates to 47% of the House of Commons seats, Labour’s 29% of votes equates to 40%, the Liberals 23% only equals 9%, while the remaining 12% of votes only equals 4% of seats.
1 Conservative vote = 1.3
1 Labour vote = 1.37
1 Liberal vote = 0.39
1 Others vote = 0.33
That means every Conservative vote was 3.33 times that of a Liberal vote!
It may be democratic, but it’s hardly fair!