11–20 of 25 posts
What exactly is "Other", and why does Germany do it so much more than other countries?
Conquering other countries. More seriously, I can imagine it includes travel to work, which tends to be an epic journey through traffic jams in densely populated countries like Germany, Belgium, the Netherlands.
Germany: 229 p/km^2
US: 32 p/km^2
Netherlands: 1,101 p/km^2
(source: http://en.wikipedia.org/wiki/List_of_sovereign_states_and_de...)
Fascinating statistics. I wish the charts had been designed in a way that made it easier to compare the numbers: for instance, I want to visually compare the number of hours that each country spends sleeping, but these charts force me to read the numbers instead of interpreting the graphics.
[1] http://www.oecd.org/document/24/0,3343,en_2649_34637_2671576...
Fascinating statistics. I wish the charts had been designed in a way that made it easier to compare the numbers: for instance, I want to visually compare the number of hours that each country spends sleeping, but these charts force me to read the numbers instead of interpreting the graphics.
Fascinating statistics. I wish the charts had been designed in a way that made it easier to compare the numbers: for instance, I want to visually compare the number of hours that each country spends sleeping, but these charts force me to read the numbers instead of interpreting the graphics.
I made a quick'n'dirty replacement using a stacked column chart if anyone is interested:
The actual report (not the Economist summary) has better graphs and more info, though - perhaps that should have been linked instead?
Fascinating statistics. I wish the charts had been designed in a way that made it easier to compare the numbers: for instance, I want to visually compare the number of hours that each country spends sleeping, but these charts force me to read the numbers instead of interpreting the graphics.
A classic example of a poor choice of visualisation. Pie and donuts aren't always useless but they're very awkward to interpret here. I made a quick'n'dirty replacement using a stacked column chart if anyone is interested: https://demo.geckoboard.com/dashboard/CF6225A8BF97972D/
I think this would be more ideal:
Country 1 Work :XXXXXXXXXXXXXXX (X%)
Country 2 Work :XXXXXXXXXXXXX (X%)
Country 1 Sleep:XXXXXXXXXXXXXX (X%)
Country 2 Sleep:XXXXXXXXXXXX (X%)
They all look mostly the same, sure the French spend nearly double the time on "Personal Care" as Americans but when you're talking about 0.7 hours vs. 1.3 hours that's really not a big difference. I'd be a lot more interested in countries like Russia, China, and various places in the Middle East, Africa, and South America. More precise age groups would also be interesting.
I think the number on "Paid work and study" had quite significant differences (Japan 6.3, Germany 3.9 (which is less than France and surprisingly low)) and was very interesting. But I definitely agree that numbers from a more diverse country sample could be very interesting.
It could simply mean that in Japan a higher percentage of people have paid work compared to the other countries, like children work earlier, old people die sooner after employment ends (in France many retire in their 50s), higher percentage of employed women, less unemployment etc. pp.
Not very useful data.
Earlier quoted context omitted.
A classic example of a poor choice of visualisation. Pie and donuts aren't always useless but they're very awkward to interpret here. I made a quick'n'dirty replacement using a stacked column chart if anyone is interested: https://demo.geckoboard.com/dashboard/CF6225A8BF97972D/
Better, but still hard to read, I think. If I want to compare the green bars for two countries, they don't sit side by side, because the sections under them are of varying heights. I think this would be more ideal: Country 1 Work :XXXXXXXXXXXXXXX (X%) Country 2 Work :XXXXXXXXXXXXX (X%) Country 1 Sleep:XXXXXXXXXXXXXX (X%) Country 2 Sleep:XXXXXXXXXXXX (X%)