Data description

The gapminder data set contains different human geographical data from different countries in the years 1960 to 2016. Some of the documented data includes life expectancy, gdp, region, population, and more. Gapminder is and independent Sweedish foundation that collaberates with universities, the UN, and more to accumulate real data about the real world people live in. This foundation exists in an attempt to educate people about the world and they continue to collect data today.

Summary table template:

Variable Description
Country Name of the country
Year Year the data was collected
Infant Mortality The number of infant deaths per 1000
Life Expectancy Life expectancy in years
Fertility The average number of children per women
Population Country poulation
GDP Gross Domestic Product according to the world bank
Continent Continent of the country
Region Geographical region

Data visualizations

This plot displays the trend of gdp and fertility rates in continents. Human Geography tends to shown a negative correlation between fertility rates and gdp. As you can see for the graph, the higher the mean gdp per country, the lower the fertility rates (negative corelation). This could be due to larger access to contraceptives in wealthier countries and the lack of medical resources in developing countries. Also, in conjunction with the second graph, we can hypothesize that the fertility rates are going down each year, showing and increase in gdp. **Because data was done by continent, data may be biased in some regions beacuse of certian countries.

This histogram displays the declining fertility rates over time. Each bar is colored by continent and shows an overall decline in fertility rates each year although, continents that have historically large fertility rates tend to still have the largest fertility rates. This decline could be a result of greater medical outreach or education.