This is a small repository to get started in R on an Exploratory Data Analysis of the Ramen Ratings data set from Kaggle.
Below is from Kaggle.
Please see the file eda-ramen.Rmd
for code to load and clean the data set.
The Ramen Rater is a product review website for the hardcore ramen enthusiast (or "ramenphile"), with over 2500 reviews to date. This dataset is an export of "The Big List" (of reviews), converted to a CSV format.
Each record in the dataset is a single ramen product review. Review numbers are contiguous: more recently reviewed ramen varieties have higher numbers. Brand, Variety (the product name), Country, and Style (Cup? Bowl? Tray?) are pretty self-explanatory. Stars indicate the ramen quality, as assessed by the reviewer, on a 5-point scale; this is the most important column in the dataset!
Note that this dataset does not include the text of the reviews themselves. For that, you should browse through https://www.theramenrater.com/ instead!
This dataset is republished as-is from the original BIG LIST on https://www.theramenrater.com/.
- What ingredients or flavors are most commonly advertised on ramen package labels?
- How do ramen ratings compare against ratings for other food products (like, say, wine)?
- How is ramen manufacturing internationally distributed?