<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/new-project-visualizing-inequalities-in-life-expectancy/"></div></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="https://www.datacamp.com/community/blog/project-visualizing-inequalities-life-expectancy"> DataCamp Community - r programming</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p><center><a rel="nofollow" href="https://www.datacamp.com/projects/166?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank"><img src="https://i0.wp.com/res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1532539406/life_exp_ntj1ev.png?w=456" data-recalc-dims="1"></a></center></p>
<p>Here is the project <a rel="nofollow" href="https://www.datacamp.com/projects/166?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank">link</a>.</p>
<h3>Project Description</h3>
<p>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 <a rel="nofollow" href="https://www.datacamp.com/courses/introduction-to-the-tidyverse?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank">Introduction to the Tidyverse</a> and Chapter 2 of <a rel="nofollow" href="https://www.datacamp.com/courses/cleaning-data-in-r?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank">Cleaning Data in R</a> prior to starting this Project.</p>
<p><center><a rel="nofollow" href="https://www.datacamp.com/projects/166?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank"><img src="https://i2.wp.com/res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1532539748/plot_improvement_-_David_Venturi_a0zq8f.png?w=456" data-recalc-dims="1"></a></center></p>
<p>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.</p>
<p><center><a rel="nofollow" href="https://www.datacamp.com/projects/166?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank"><img src="https://i0.wp.com/res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1532539564/Screen_Shot_2018-07-25_at_1.15.36_PM_bl0rfb.png?w=456" data-recalc-dims="1"></a></center></p>
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