Used K-Means clustering, to divide the counties into groups according to the proportion of obese and diabetic people in each county (% Obese and % Diabetic, respectively). Based on these two features, clusters are produced that aid in locating patterns and similarities in the data. A separate cluster is represented by each color to see better representation of the dataset.