Sophisticated Graphics In The New York Times

“Even after decades of affirmative action, black and Hispanic students are more underrepresented at the nation’s top colleges and universities than they were 35 years ago, according to a New York Times analysis. The share of black freshmen at elite schools is virtually unchanged since 1980. Black students are just 6 percent of freshmen but 15 percent of college-age Americans, as the chart below shows.”

Sourced through the New York Times

Michel Baudin‘s comments: This morning’s New York Times contains an article with data visualizations at varying levels of detail that are far more sophisticated than the usual pie charts and stacked bar charts commonly found in the American press as well as in business presentations and shop floor performance dashboards.

The exact meaning of the above chart between the title and the lead of the article is not immediately obvious. After looking at it for a minute or two, you realize that it has a high data-to-ink ratio: it makes a non-trivial point in a flourish-free format that I think Edward Tufte would approve.

The article is about the relative representation of different groups in the student population of 101 institutions,  including the Ivy League, University of California campuses, “top liberal arts colleges,” “other top universities,” and “public flagship universities.” The study compares the proportion of freshmen enrolled from each group to their proportion in the college-age population as a whole.

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New Chart Junk: Squaring The Pie

The purpose of graphics for data visualization is communication, not decoration, which is often forgotten in publications as well as on company performance dashboards. A case in point is the chart on yesterday’s cover of the New York Times. It shows that solar energy currently accounts for more than twice as many jobs as coal. It also shows the numbers of jobs in different sectors and uses a color code to mark some as based on fossil fuels versus renewable and low-emission technologies. 

Until recently, most publications would have used a pie chart. Now, graphic artists have found a way to square the pie chart into yet another style that will most likely trickle down to slideware and office walls, in spite of a low data-to-ink ratio and the use of two-dimensional shapes to display one-dimensional data.

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Misleading Graphics in Global Manufacturing Report from McKinsey

See on Scoop.itlean manufacturing
“The global manufacturing sector has undergone a tumultuous decade: large developing economies leaped into the first tier of manufacturing nations, a severe recession choked off demand, and manufacturing employment fell at an accelerated rate in advanced economies. Still, manufacturing remains critically important to both the developing and the advanced world. In the former, it continues to provide a pathway from subsistence agriculture to rising incomes and living standards. In the latter, it remains a vital source of innovation and competitiveness, making outsized contributions to research and development, exports, and productivity growth. But the manufacturing sector has changed—bringing both opportunities and challenges—and neither business leaders nor policy makers can rely on old responses in the new manufacturing environment.”

Michel Baudin‘s insight:

The bubbles above are intended to represent global market share by gross value added in 2010 in the manufacturing of “global goods for local markets,” which includes appliances, automotive, chemicals, and pharmaceuticals.

The complete chart (see below)  is a map of the world with a bubble for each of the top ten countries. From the point of view of graphic art, the chart looks professional; as a means of presenting data, however, it misleads.

McKinsey chart junk example

From the center of the bubbles, you can see that China’s share is twice that of Japan, but the bubble is four times larger. This is because its radius is twice that of Japan’s bubble.

This is a perfect example of Tufte’s rule that you should not us a two-dimensional symbol to show one-dimensional data. Market share is one number. If you want to make an accurate graphic comparison of different countries’ market shares, use a bar chart. It would look as follows:

McKinsey chart content in bar chart

As most readers know where in the world the US, China, and Japan are, you can lose the map of the world. It looks great, but it adds no information.


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