August 24, 2008
Since my last post, about Beijing 2008 Olympic rankings by population and economy size, there has been a lot of action in the medals per capita stakes. The Bahamas knocked Jamaica from the number one spot with a Bronze in the triple-jump, only to have Jamaica regain the crown as it continued to win Gold in track and field. Then, with a Silver in the Men’s 4 x 400m relay, the Bahamas got to the front again in what is now an unassailable lead.
For the blow-by-blow on MPC, visit the LA Times MPC blog. I can’t help mentioning that Australia has now pulled ahead of New Zealand!
Previously, the charts I used were static, unable to keep up with these rapid changes so, although the Games are drawing to a close now, I thought I would include Swivel charts which will update as the last results come through. This time I am showing rankings in terms of a simple total medal count per million of population (previously I used a points system, 3 points for Gold, etc).

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19 Comments |
economics | Tagged: charts, data visualization, economics, olympics, sport |
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Posted by stubbornmule
August 22, 2008
Now that the swimming is over, Australia is likely to see its rankings in the Olympic medal tally start to fall. To feel better about this situation, people like to start pointing out that we still look pretty good for a small country and it’s certainly true that of the countries currently in the medal tally (as at 22 August 2008), we rank only 36th in terms of population. Ever since I blogged about the data-sharing site Swivel, I have been regularly updating a data-set with the medal tally. So, it was a simple matter to add in population as well. The chart below provides a high-level overview of the medal results by population. It shows both the total number of medals won and the gold medals. The further a country sits in this chart above a 45 degree line, the better it is doing by population.
Total Medals (blue) and Gold medals by Population
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economics | Tagged: charts, data visualization, olympics, sport |
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Posted by stubbornmule
August 15, 2008
Earlier this week, South Australian senator Nick Xenophon raised concerns that the Government’s FuelWatch scheme would lead to higher petrol prices and that small independent petrol retailers were likely to be disadvantaged by the scheme. So it looks likely that the FuelWatch legislation will fail to pass the senate and then fade into oblivion. I can’t say I’m too upset about this as I have been critical of the scheme. Furthermore, falling oil prices have led to a fall of around 20 cents/litre in petrol prices which takes much of the sting out of the issue.
So now I am free to turn my attention to another Australian Government initiative, GroceryCHOICE. This scheme aims to “[help] consumers find the cheapest supermarket chain in their area without having to compare hundreds of prices”. Every month a survey is conducted of prices on around 500 different grocery items at over 600 supermarkets around the region. These prices are aggregated into “baskets” of goods in the following categories:
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australia, economics | Tagged: australia, charts, data visualization, economics, food |
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Posted by stubbornmule
August 10, 2008
I recently came across the OECD Factbook blog written by Jérôme Cukier, who works as a data editor for the OECD. He has an excellent post on publishing charts in blogs.
As regular readers of the Mule will know, I don’t mind posting the odd chart and in the process I have grappled with the less than ideal results that the Excel to image production-cycle can produce. Jérôme’s process discusses these challenges and illustrates the results of different techniques (although I had more luck with copying as a picture and saving to PNG format than he had, so perhaps the choice of picture editor is a factor as well). As far as possible, I try to avoid using Excel altogether for producing charts and instead use the statistical package R, which can produce charts directly to a number of image formats including JPG and PNG. Although Jérôme doesn’t mention R, it does crop up in the first of the comments on his post.
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web 2.0 | Tagged: charts, data visualization, graphics, sport, web 2.0 |
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Posted by stubbornmule
May 18, 2008
Inflation in Australia has been running well outside the 2-3% range targeted by the Reserve Bank of Australia—the most recent figure was 4.3% for the 12 months to March 2008—which is why interest rates have been on the rise for the last couple of years. So what has been driving prices up in Australia? One useful way to get a sense of what has been happening is to use a type of chart known as a treemap (sometimes called a “Map of the Market”). These charts tend to be pretty busy, but can be a great way to explore a rich set of data.
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economics | Tagged: australia, charts, data visualization, economics, finance, inflation |
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Posted by stubbornmule