In this section, we examine the relationship between wealth, development, and life expectancy in different countries. We use a violin boxplot, scatterplot, and geographical map to explore how economic factors impact life expectancy.
The violin boxplot shows the density of countries reaching a specific life expectancy. There are two violins in the chart, respectvely one for developed and one for developing nations, so we can see how wealth and development impact life expectancy.
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The scatterplot, correlated with the GDP (and other variables), allows you to see how economic factors influence life expectancy in different countries. By clicking over the country legend, you can select the countries to display.
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Variable: Top 20 countries by:
Finally, we use a map to display which countries have the highest life expectancy and riches. Development of a nation can be measured with GDP, ICOR ratio or schooling and you can pick those variable to see that people in richer countries tend to live longer. Also you can pick the health expenditure variable to test if countries who spend more in healthcare also have a longer life expectancy.
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