LIS 4317 Final Project – Diamonds Analysis
Diamonds constitute one of the most extensively examined datasets in R due to their numerous quality attributes that affect valuation. For this undertaking, I employed the diamonds dataset from the ggplot2 package to investigate the relationship between carat (weight), cut quality, and clarity in relation to diamond prices. This dataset provided an opportunity to apply and demonstrate proficiency in distribution analysis, comparative evaluation, and multivariate visualization methods acquired during LIS 4317. Overview of the Dataset The diamonds dataset comprises 53,940 observations and ten variables, thereby satisfying the project's criterion of a minimum of fifty rows and five to twenty variables. Key variables encompass: Cost – Price of diamond in United States dollars Carat – the mass of the diamond Reduce — reduction in quality levels (Fair, Good, Very Good, Premium, Ideal) Color – the process of color grading Clarity – Evaluation of transparency and lucidity I ...