**This plot is not complete** The goal of this project is to analyze the correlation between a country's GDP and its crime rates. The United Nations assigns a Human Development Index (HDI) to each country which is determined by factors such as Gross Domestic Product and Gross Net Income, access to education, access to healthcare, and other factors. In most cases, these factors are correlated. For my final project in the Introduction to Data Science course, I hypothesized that a high GDP (which usually implies a high HDI) would correlate with low crime rates. This project uses Unsupervised Learning to K-cluster about 20 countries into similar categories. Although I have already submitted this project (grade 96.7%), I will continue refining/adding code to include more visualizations and conclusions and fix the aesthetics. This is my first time publishing an R project, so it's not perfect!