03 April 2013

Bad Graphics

This is a guest post by Sean Fox at the LSE

This infographic, which came to my attention a few weeks ago on International Women’s day, has been on my mind because it is one of the WORST visual presentations of data I have seen in years: 

So what? Well, it contains information on an interesting and important topic (attitudes about domestic abuse) in a UN report. It should inform. Instead it confuses and distorts the facts. It violates almost every rule outlined in the bible of infographics, The Visual Display of Quantitative Information by Edward R. Tufte. Let me just name a few.
  1. It looks like a quasi-pie chart. As such it implicitly suggests to the viewer that the slices represent portions of a whole. They do no such thing. They represent survey responses from a relatively small and arbitrary selection of countries around the world. 
  2. The sizes of the ‘slices’ do not correspond to the numbers they purportedly represent. Just compare the Rwanda slice to the Vietnam slice. Huh?? 
  3. It uses multiple colours. This is a great way to pack more data into a small space, but in this case the colours actually contain no information at all. They’re just randomly assigned. More visual confusion.
  4. It uses a lot of ink to represent a small amount of data. Rule number 1 of good info graphics is to maximise the data/ink ratio. Less is more. 
So, how should it have been presented? There are many better ways, but a very simple one, which took me about 5 minutes in Excel is this:

While the first figure confuses the brain and obscures the significance of the data, this simplified version immediately throws up all kinds of interesting questions. Why do the women of the post-Soviet nations of Serbia, Georgia and Kazakhstan seem to have some of the lowest tolerance for domestic abuse in the world? How is it that the women of Jordan, which has a relatively liberal and modernising king and a female role model in the politically active and globetrotting Queen Rania, seem to largely accept domestic violence? What accounts for the wide gap in attitudes between women in the East African nations in Ethiopia and Rwanda? Is it due to “culture” or government policy and discourse?

These are interesting and important questions that are revealed by a simple improvement in the presentation of the data.

Come on, UNICEF. You can do better.


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