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As a lover of both knitting and data graphics, I was pretty intrigued by the story of Shaun the Sheep and even happier when I read the Guardian Data Blog article about how many jumpers you could probably get from Shaun’s 23.5kg fleece.

I’ve essentially nicked all of Nick Evershed’s research and re-jigged it. Thankyou sir.

But wowzers - that’s some productive fleece. I guess that’s what happens when you run wild without a hair cut for 6 years, and something I sort of aspire to, as I’m growing my own hair. Inspirational stuff Shaun. Inspirational stuff.

 

Thanks wordmark.it

This changes everything (via lifehacker)

ICAC? I can barely keep up. But thanks to the ABC, they help you unravel the tangled, grubby mess that is NSW State politics…

Great piece of work.

I like to share my love around it seems

Just a little something - part of a project I’m working on. 

The Pace of Technology Adoption is Speeding Up - Rita McGrath

The chart above, created by Nicholas Felton of the New York Times, shows how long it took various categories of product, from electricity to the Internet, to achieve different penetration levels in US households.  It took decades for the telephone to reach 50% of households, beginning before 1900.  It took five years or less for cellphones to accomplish the same penetration in 1990.  As you can see from the chart, innovations introduced more recently are being adopted more quickly.  By analogy, firms with competitive advantages in those areas will need to move faster to capture those opportunities that present themselves.

(via stoweboyd)

Friday Playlist involves Faith, Boys Don’t Cry and Seventeen Seconds. It’s that kind of (rainy) day.

I’ve got my order in, have you?

Population Waves

Using ABS data (scenario B) I looked at how population in Australia is predicted to ebb and flow. Well, not really ebb…just flow.

The blue is male population, and the pink is female. Each cell represents the size of an age group over time. Ages represented are from 0 to 100+. Data is for 2012 and projected out until 2100. The size of the cell represents the population for that age group in that year.

Trying to show how structural ageing, as well as numerical ageing, is changing our demographic make-up as a nation. Basically, the darker it is, the more people there are. I like the “streaks” that appear, and I’m guessing I am part of that big streak that stretches from 40 in 2012, right down. Us early 1970s babies were part of the first “echo boom” crop. Not much of is really…but there we are.

Those living over 70…see how it gets darker and darker as time moves on. One of the other scenarios that the ABS puts forward says life expectancy will increase at the same rate (this one says it will keep improving, but not at the current rate; and I think that would be even more dramatic to look at.

My husband calls this the “goldilocks scenario” - A and C are far more extreme in each way. A proposes far less immigration, and B proposes much more. One of them also proposes life expectancy to keep rising at the same rate as it is today - and that gives us a lot more people over 75.

My next task may be to compare each three…but need some time to format the data.

obsessivecompulsive:

Baby Patti Smith

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