Visualizing uneven distributions

Jeff, a reader of the blog, asks for comment on this blog post of his (link).

The highlight of the post is this chart, which shows an uneven distribution.

The message of the chart is that a large amount of donations (about 25%) came from the top 3 percent of donors. This is a long-tailed distribution, and quite typical of much data that have to do with financial matters. Thus, it is a general problem as many of us encounter this type of data.

One of the insights from Jeff's post is that with some tricks, one can generate a chart that looks like the above using Excel. This is pretty impressive, and he credits Peltier for the pointer.

***

Now, let's see if there are other ways to present this data. One issue I have with the chart is that the most important statistics are found in the text labels. These are of the form: "X% of customers contribute Y% of revenues". So, in effect, there are two relevant data series, one of the share of people and then the share of revenues.

The following is a stacked column chart:

Here, the information is primarily encoded in the dotted guide lines between the two columns. It has the advantage of showing both the absolute share of people as well as of revenues, plus showing the uneven distribution between the two data series.

But it is also less fun to look at. The advantage of the original chart is that one can imagine that all the donors are being lined up along the horizontal axis from those who gave the least to those who gave the most. That's a pretty powerful mental picture. The weakness of the original is that few of us can mentally tally up the strangely shaped areas to learn the share of revenues.

***

The next version is a kind of profile chart:

I like this one because it places the two data series on equal footing, and allows for efficient comparison of the two sets of proportions. It also has the feature of showing all the shares, just like the stacked columns.