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Ramen Ratings Data from Kaggle

✓ Published0🌍 Public
CChen Ding
Last edited Sep 5, 2019
Created on Sep 5, 2019

This visualization displays basic summary statistics for a Ramen Ratings dataset from Kaggle. It shows the file size in kilobytes, the total number of data rows, and the number of columns, rendered as large text on a blank page. The example loads the CSV from a GitHub gist using D3’s `d3.csv` function, which parses the remote data and then formats it with `d3.csvFormat` to compute the byte size. All three stats are concatenated into a single string and placed into an HTML `<pre>` element. The code also includes commented-out alternatives using `fetch` and `d3.csvParse`.

AI-generated description

A program that loads and parses some CSV data.

This is a Ramen Ratings dataset that contains

Attributes:

Reivew #: quantitative Brand: categorical Variety: categorical Style: categorical Country: categorical Stars: quantitative Questions:

What is the most popular style of Ramen What country has the most high ratings Ramen? Any popular specific brands of Ramen? Sources: Kaggle

https://gist.github.com/chen-ding-71/6cb731bdd00726859df93b39c23c3a24

MIT Licensed

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