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Loading Data Ramen
This visualization demonstrates asynchronous data loading with D3.js. It initially displays a loading state before fetching a CSV file of ramen product reviews from The Ramen Rater dataset. The code uses D3's `select` and `csvParse` functions to fetch, parse, and display the raw tabular data as a JSON object inside a `<pre>` element. The example highlights D3's data handling capabilities, with review numbers and star ratings converted to numeric values for further processing.
AI-generated descriptionRamen Rating dataset 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.
https://www.kaggle.com/datasets/residentmario/ramen-ratings?resource=download
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!