With all this good work, the last mile is to replace the current ineffective and confusing charts with effective ones. Below are some charts from the article on Pedestrian Day. Start from this chart. What does it teach us?
The pie chart is trying to convey the "percentage of respondents wanting Ped Day to be discontinued". A main feature of a pie chart is that its parts should add up to 100%. Yet, the percentages on the slices here do not add up to 100%, causing confusion. A careful look uncovers that the person creating the chart was trying to convey the percentage separately for each sector. If that's the case, then the pie chart is not set up correctly! You would need separate pies for separate sectors (civil servants, H-wives,...), and then each pie would have a breakdown of that sector's opinion of Ped Day. Using a pie chart incorrectly is very misleading.
But even using a pie chart correctly is known to be ineffective at best, and misleading at worse. Our brain is not good at comparing sizes of pizza slices. With 3D pizza slices, we are even worse off! The best solution: use a bar chart.
Here's a simple bar chart of the same data, using Excel. See if you get a better idea of responses to this survey question by different sectors (by the way, might a truck driver also be "Business" or "Pvt Employee"?)
While we're on the subject of 3D charts, you can ruin a perfectly effective bar chart by turning it into a 3D bar chart, as you can see in the following charts (from the same article). I included the original 3D chart alongside an ordinary bar chart of the same data, which I created in Excel. Not only is there no need for the third dimension (it does not represent any information in these cases), but it makes the comparison between bars much more difficult on our brain.
Left: original 3D chart. Right: ordinary bar chart for the same data |
Left: original 3D chart. Right: ordinary bar chart for the same data |
Creating effective charts is not rocket science and does not require expensive software. It does require learning key principles and implementing them meticulously. The media should invest in training editors and reporters in effective data presentation -- not only creating effective charts, but also being able to critically assess charts presented by their sources.
I saw that article just recently and the charts really were a head-scratcher.
ReplyDeleteI only hope the charts were created by the magazine designer/layout artist and not the researchers/statisticians of the survey itself.
Thinley - you are right, although in this case the reader will suffer no matter who created the charts. This example and the many others that I've posted imply that newspaper and magazine designers in the country should educate themselves about data visualization. We occasionally offer crash courses on this topic in Thimphu and there are several online resources to learn from. Acclaimed international newspapers have realized the importance of data visualization long ago and now have trained staff (or even an entire team, as in the New York Times) who create incredibly effective and beautiful charts. Infographics now also include interactive dashboards on the newspaper website that allow readers to interact with the data. Here's an example of visualizing 2012 elections data by the NY Times http://elections.nytimes.com/2012/results/president
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