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.