Food pyramid charts

Knowing the reaction it would elicit, an old friend of mine sent me a link to an article entitled “Shocking Graphic Reveals Why a Big Mac Costs Less Than a Salad”, which featured the chart pictured here. I did indeed find the graphic shocking, but not for the reason the headline writer intended. The graphic in question, which originally appeared in the Consumerist, shows a pair of charts comparing the levels of subsidies different food types receive in the US compared to recommended dietary intake of corresponding food groups. Needless to say, the foods receiving the largest subsidies are the ones that should be consumed in the smallest proportions and the conclusion: no wonder Americans are getting fatter.

The idea that the US government’s agricultural policies appear to be producing decidedly unhealthy outcomes is one I have been reading about in the fascinating book The Omnivore’s Dilemma: A Natural History of Four Meals (its tale of the sex-life of corn alone makes it worth the price) and so this was not what I found shocking about the graphic. What shocked me was the travesty of data visualization used in the graphic: pyramid charts.

It should not be surprising that charts like this are becoming increasingly common since so many charting tools try to lure you into using them. The screenshot below shows the options that the current version of Microsoft Excel offers under the heading “Column” charts. I would argue that everything below “2-D Column” should be banned from the arsenal of the thinking chart-user. These variants on three-dimensional graphics all represent the trap “chart junk”: fancy extra details that, at best, add nothing to the information being conveyed and, at worst, result in distortion. Cones and pyramids fall well into the distortion category.

No doubt echoes of the “food pyramid” trope made the choice of pyramids an irresistible temptation for the Consumerist. The problem is that the data is represented by the height of each segment of the pyramid, but we tend to perceive the apparent volume of each layer. As a result, the layers near the top appear much smaller that they should relative to the lower layers. This serves to drastically exaggerate how little government funding in the US is directed to fruits, vegetables, nuts and legumes. Using a more prosaic bar chart instead shows that, while the funding of meat and dairy is certainly far greater, the ratios are not as extreme as the pyramid suggests.

US Food Subsidies chart

The bar chart has the added advantage of making it easier to gauge the funding proportion for each category. Also, having each layer stacked one on top of another makes it harder to compare one figure with another. The bar chart eliminates the need for moving the shapes around in your mind in an attempt to make these comparisons. Note how close the funding levels are for grains compared to sugar, oil, starch and alcohol, while the pyramid chart  makes the funding of grains look significantly higher.

The original graphic compensates by quoting each of the figures, but this defeats the purpose of using a chart. If your chart does not make the numbers evident, use a table instead! The extent of the distortion that the pyramids produce is even more apparent in the case of the recommended diet data. While the recommended intake of sugar, oil and salt is certainly low, on the bar chart this category is no longer vanishingly small.

Recommended Diet Chart

Another visualisation alternative would be to use pie charts. While pie charts do have a bad reputation in statistical and scientific circles, and are often used and abused in many a business presentation, they allow more straightforward comparisons of the contributions categories make to the whole. In the pie chart it is much easier to see at a glance that vegetables and fruit should make up about a third of a regular diet, while protein combined with sugar, oil and salt should make up about a quarter. On the other hand, it is harder to use a pie chart to scan numerical values. For that purpose, the bar chart excels (no pun intended). So when choosing a chart to represent data, it is essential to first decide what aspect of the data you are aiming to highlight.

Diet Pie ChartThe pyramid charts were indeed intended to shock, but there was no need for the authors of the post to resort to misleading exaggeration. The figures should be allowed to speak for themselves. Even when using dispassionate bar charts, it remains clear that the US government is funneling a disproportionate amount of money into the types of food Americans are already over-consuming.

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Earlier this week, @pureandapplied brought to my attention the emissions data that has been published by the Department of Climate Change in Australia. Their report comprises data for the 2008-09 reporting year provided to the Greenhouse and Energy Data Officer by corporations whose greenhouse gas emissions exceeded 125 kilotonnes*. A few corporations are missing from the list for a number of reasons, including failure to provide their data in time for the report’s publication (a sorry excuse indeed). Nevertheless, the data makes for some interesting reading. As @pureandapplied remarked, for example, Qantas was responsible for more emissions than Shell: those air points are producing a lot of CO2-equivalent emissions!

The data is reported in two categories, “Scope 1″ and “Scope 2″ emissions. The definitions of the two scopes are as follows:

Scope 1 emissions are the release of greenhouse gases into the atmosphere because of activities at a facility that is controlled by the corporation. An example of this would be gases emitted by burning coal to generate electricity at an electricity production facility (i.e. a power station).

Scope 2 emissions in relation to a facility, are the release of greenhouse gases emitted at a second facility because of the electricity, heating, cooling or steam that is consumed at the facility. An example of this would be greenhouse gases emitted to generate electricity, which is then transmitted to a car factory and used there to power the car factory’s lighting. The greenhouse gas emissions are part of the factory’s scope 2 emissions. It is important to recognise that scope 2 emissions from one facility are part of the scope 1 emissions from another facility.

The report is very careful to note that these two scopes should be used warily. In fact, it warns that the two figures “should not be used individually, or added together” to estimate liabilities under any emissions abatement scheme. That is a red rag to a Mule, so I will indeed look at them individually and added together. The chart below shows the top 25 emitters in the Scope 1 category.

Top 25 Scope 1 Emitters

It should come as no surprise that the big Scope 1 emitters are primarily power generators, although there are a number of mining companies in there, along with Qantas thanks to its burning of jet fuel. Scope 2 tells a somewhat different story.

Top 25 Scope 2 Emitters

Here “poles and wires” make an appearance: Transgrid and the like, move energy from place to place that has been generated elsewhere. So, the Scope 1 emissions are counted by the generator, but the tranmission company wears the Scope 2 emissions. Woolworths manages an impressive fifth place, perhaps thanks to the lights in all of their supermarkets? Wesfarmers, the owners of the Coles supermarket chain, rank higher still.

Finally, here are the top 25 emitters by the combined total of Scope 1 and Scope 2 emissions. Not surprisingly, the generators dominate once more.

Top 25 Scope 1+2 Emitters

Also included in the data is the total amount of energy consumed by each corporation. It is in these numbers that I stumbled upon something of a puzzle. Envestra produced a reasonably sizeable 627,161 tonnes of Scope 2 CO2-equivalent, but had one of the lowest levels of total energy consumption at only 193 GJ. What have they been up to? Guesses are welcome!

* Also included are those corporations holding a reporting transfer certificate.

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Mule Stable demo video

25 February 2010

A demonstration video showing how to get started on the Mule Stable discussion forum. Anyone familiar with Twitter will feel at home straight-away, for everyone else, this video should ease your way into posting in the Stable.

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Junk Charts #3 – US Business Lending

23 February 2010
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Clusterstock’s “Chart of the Day” has a chart showing business lending “falling like a knife”. But closer examination of the chart reveals that it is in fact quite misleading.

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The stable door is open

21 February 2010
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The Mule Stable is a place to share links, ideas, suggestions and anything else that interests you, all closely or loosely linked to the Stubborn Mule blog. Anyone who uses twitter will see a very familiar format: you can post brief notices, follow what other users are saying and engage in conversation.

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Blame Greece’s Debt Crisis on the Euro

Thumbnail image for Blame Greece’s Debt Crisis on the Euro 18 February 2010

Ever since they joined the European monetary union and adopted the Euro as their currency, they lost the power to create their own money. The Euro is the real reason Greece finds itself facing a debt crisis.

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The Mule on Mortgages

13 February 2010

So you’ve saved up a deposit for your first house, you want to take advantage of the government’s first home owner grant while you still can, and the bank is actually prepared to lend you money. But how much should you borrow?

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No hiding the cost of emissions reduction

10 February 2010

No politician in Australia is brave enough to say that if we want to reduce carbon emissions, there will be a cost. Rather than arguing about what is or is not a “tax”, everyone should just accept that reductions will come at a cost and move on.

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Carly’s Law

1 February 2010

Fifteen-year-old South Australian Carly Ryan was murdered in 2007. The 50-year-old man found guilty of her murder had used fabricated online identities to attempt to seduce the girl and, when she ultimately rejected his advances, he used another identity to lure her to a beach-side town where he bashed and drowned her.

Independent South Australian senator Nick Xenophon now intends to introduce a private member’s bill which would make it an offence for an adult to misrepresent their age online for the purpose of meeting minors. But will this actually do any good?

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Rethinking the basis for the Australia Day holiday

25 January 2010

January 26 is a nettlesome date for the official celebration of the Australian nation and as a commemoration of our colonial foundation. Apart from the significant nuisance that it falls so close to the end of the holiday season when our minds and emotions are trying to deal with more pressing obligations, it really asks a serious philosophical and moral question.

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