Wine can be more than just a drink of choice for many who drink it. For some, finding the right wine can be a lifestyle hobby of sorts, with all the challenge of a global scavenger hunt and all the reward of, well, a choice glass of merlot or pinot. This project sought to create visuals for a comprehensive dataset on wine, covering variables such as price, country of origin, quality points, and alcohol content. Additionally, this project used a second dataset consisting of chemical qualities which could be quanitified. This was crucial to the machine learning portion of the analysis.

Visualizations