Skip to main content

Physician prevalence vs. under-5 mortality - second in a Synoptical Charts original series

Here's another look at public health stats from various countries around the world. As with the first installment of this series, the countries included here rank in the Top 5 in at least one of four categories: Life Expectancy (longest), Under-5 Mortality (least), Health Care Expenditure per Capita (highest), and Prevalence of Physicians (greatest). (Source:

NOTE: Unlike the previous chart, this one omits Macau and Hong Kong, which had made the cut because of their populations' longevity. I omitted these two Chinese territories because the only available figures on the geographical distribution of physicians reflect China as a whole. Result: not only does this camouflage the serious disparity between urban centers and rural districts, it obscures any geographical specifics.

Comments and questions are invited.


Popular posts from this blog

Recommended: a new review "zoo"

"A Tour Through the Visualization Zoo" is a fantastic introduction to some attractive and sophisticated new visualization formats. The article and illos were put together by Stanford's Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky. Heer is an HCI/visualization genius whose journal articles I've been following with interest; Bostock is the whiz behind the D3 archive of javascript code for visualization.

Run, don't walk. It's great.

Blast from the past: a 1974 data treatise by Edward Tufte

Back in 1974, Yale poli-sci professor Edward Tufte published a slim volume called Data Analysis for Politics and Policy (Prentice-Hall, $3.95). The book in its entirety is available for free download (PDFs) at Tufte's website, accompanied by a contemporary review from the Journal of the American Statistical Association. More than 30 years later, the review amuses me with its restrained praise of the perspective that would eventually make Tufte a Major Figure (and a minor fortune):
Tufte puts residual plots to good use to gain understanding of a data set, and he shows how finding outliers gives the analyst hints about the inadequacy of a statistical model... The discussion of graphical techniques in general is quite good... A brief but compelling discussion of the "value of data as evidence," with regard to the interpretation of nonrandom samples, is presented. If you happen to have a spare 48MB lying about, DAPP's worth a download.

[via Sofa Papa]