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A project to explore Michelin star restaurants, applying k-modes clustering and 3D vizualization. Makes use of this dataset, which details restaurants with 1, 2, or 3 Michelin stars, their locations, cuisines, and price points.
Here is the knit output of this R code, containing most data processing, analyses, and graphics for the study.
NOTE: I'm working on getting a way to display these interactively via github, so if they're not pulling up just download the html files or the full knit output and view them all together.
The boundary clusters aren't as clear as I'd hoped they'd be, and they were most clearly delineated along the price point and number of stars.
| Cluster | Cuisine | Price | Stars |
|---|---|---|---|
| 1 | Modern | $$$$ | 1 |
| 2 | Chinese | $$$$ | 1 |
| 3 | Modern | $$$$ | 1 |
| 4 | Japanese | $$$$$$ | 2 |