Mini-‐Project 1
Introduction: For the first mini-‐project I am using a built in dataset in R, “LifeCycleSavings”. This dataset contains information regarding how much of their income people in 50 selected countries saved each year, as a percentage of total net income. The dataset has further subdivisions that focus on people under 15 and over 75 years of age, respectively, but for this analysis I will just use the “sr” subdivision that examines the population as a whole. The dataset has a good spatial distribution, as it contains countries from every continent except Antarctica.1 It is important to note that the data was collected from 1960 to 1970, and therefore the results may be very different from the results one would get today. Also, communist countries (except for China) are not included. Various forms of analysis are below: Analysis: The first form of analysis I did was a simple scatterplot (below). Although it provides a good picture of how countries relate to each other, it has various other drawbacks. Most notably, we do not know which country is which.
1 Due to the isolationist nature of North Korea it is assumed that “Korea” is South Korea