A colleague of mine introduced me to a workflow tool commonly used my statisticians, analysts, and data scientists:R-Studio. I had heard rumors of folks using R-Statistic, but I had never bothered with it because I was too busy crudely coding in Python. Admittedly, I thought Python had everything that R-Statistic could offer and I was even arrogant enough to believe Python was superior. Well, they're both fantastic tools for data science with their respective strengths and weaknesses. But I digress, I'll get to those differences in a different post. I grabbed one of the most ubiquitously used datasets from the UCI Machine Learning Repository and decided to try out a clustering algorithm. Read on for more!