Make Over Monday: World Development Indicators – Health and Equality

This week for Make Over Monday we are looking at data for World Development Indicators – Health and Equality. There was several different aspects of health and equality that we could have looked at with the data provided. I decided to focus on the Average Female Life expectancy world wide from 1960 to 2016.

I thought it would be interesting to see the trend and how this number has changed for different countries around the world.

For this first visualization I thought it would be interesting to explore the over all world trend. The over all trend is that the life expectancy for women has steadily increased. While this may not come as a surprise it was interesting to see that several countries have seen wild swings with lower life expectancy then rebounding.

When inspecting which countries experienced sever fluctuations we can see that these are countries that have had serious conflicts in recent history such as Rwanda and Sierra Leon. This would explain these rapid fluctuations shown in this visualization.

Now that we have an idea of how female life expectancy has been trending I thought it would be useful to see how different countries compare with one another in the most recent recorded year. This world map shows female life expectancy for 2016. We can see that developed countries have a longer life expectancy than developing nations. There is a wide gap between the countries with the highest life expectancy which is well into the 80’s and the countries with the lowest life expectancy, which are coming in at the low 50’s.

Finally I thought it would be interesting to be able to see visually how each countries life expectancy has changed over the years. While most countries follow the trend that we saw in the first visualization we can also see those countries that had dips in their life expectancy and how those numbers rose and fell over the years.

With the data this week I felt that it was important to look for over all trends as well individual variances. While we are becoming an increasingly integrated world economy the data shows that there is also large gaps between developing and developed nations.

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