• This section identifies which diseases are the leading causes of death across different countries. Using WHO data, we analyze how mortality rates vary by disease and category, and which regions are most affected.

• The point of this page is to help draw conclusions about why some countries have lower life expectancies.
• Through the information provided and navigating these maps, there is a clear correlation between GDP and Life Expectancy. Countries with a higher GDP are much more likely to have a higher Life Expectancy and visa versa.

• After looking at the previous map, this one shows a clear relationship between GDP and life expectancy. Countries with lower GDP likely have less spending on healthcare which leads to an earlier death. For more information about the relationship between GDP and Life Expectancy, click here.

• Within these two graphs you can see a comparison of US population growth and deaths in the United States per year due to Alzheimer’s. Interestly, though technology has improved so signifcantly we see an 100% increase in deaths and only a 35% increase in the US population since 1990.

• By looking at this plot you can gather some key insights on the correlation between happiness, GDP per capita, and a country’s life expectance.

This Dashboard was created using Quarto, Rstudio, and the R language.

The following data sets used for our findings:

• Happiness Index
• Global Health Statistics
• Life Expectancy
• Mortality Trends
• World GDP
• Census Data
• Cause of Deaths

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