Global convergence in male life expectancy at birth

[This article was first published on Ilya Kashnitsky, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

In the modern history, the world has seen unprecedented decrease in human mortality – the result of the Demographic Transition. Initially, the improvements occurred only in the most developed societies, and by the mid XX century the world population was roughly divided in two parts according to mortality patterns (see the bi-modal distribution). After the 2nd World War, the developing countries started to catch up, and there was a clear convergence in life expectancy at birth, the most common summary measure of mortality.

fig1

Full reproducibility

To reproduce the plot from the scratch please see the gist.

R Documentation at Stack Overflow

One of the nice features of R is the ease of data acquisition. I am now working on the examples of data acquisition form different sources within an R session. Please consider contributing your examples as well to the Data aquisition topic.

To leave a comment for the author, please follow the link and comment on their blog: Ilya Kashnitsky.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)