New Project: Visualizing Inequalities in Life Expectancy

[This article was first published on DataCamp Community - r programming, 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.

Here is the project link.

Project Description

Do women live longer than men? How long? Does it happen everywhere? Is life expectancy increasing? Everywhere? Which is the country with the lowest life expectancy? Which is the one with the highest? In this Project, you will answer all these questions by manipulating visualizing United Nations life expectancy data using ggplot2. We recommend that you have completed Introduction to the Tidyverse and Chapter 2 of Cleaning Data in R prior to starting this Project.

The dataset can be found here and contains the average life expectancies of men and women by country (in years). It covers four periods: 1985-1990, 1990-1995, 1995-2000, and 2000-2005.

To leave a comment for the author, please follow the link and comment on their blog: DataCamp Community - r programming.

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)