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Fast Food Nutrition

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Fast Food Nutrition

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Ppbruss@bu.edu
Last edited Sep 18, 2024
Created on Aug 31, 2024

This example displays the first row of a fast food nutrition dataset in raw JSON format, revealing attributes like calories, fat, sodium, and protein for items from McDonald’s and other chains. The code uses the `data.csv` import to load the dataset, then logs the keys and converts all quantitative attributes to numbers via a loop. The main function renders the parsed data as a formatted `<pre>` element, offering a static preview of the dataset’s structure.

AI-generated description

The Penguins Dataset, loaded and parsed as CSV.

Fork and modify this template to import your data to VizHub and export it for use in other vizzes! To do that:

  • Fork this viz
  • Clear out the README
  • Update the README with details about your dataset (including original source)
  • Replace data.csv with your own data
  • Replace the parsing logic in index.js with your own
  • Set the custom URL so you can import from it easily

Challenge

  • Find 3 datasets on a topic you are interested in
  • For each of those, fork this viz and replace the data
  • Parse the quantitative attributes into numbers
  • Update README.md to indicate the original data source