{"version":"1.0","type":"rich","title":"Parsing CSV with D3","description":"This example demonstrates how to parse CSV data with D3, displaying a concise summary of the dataset's size and structure. It fetches a CSS named colors CSV from a GitHub gist, then uses `d3.csv` to asynchronously load and parse the data. The code counts the rows and columns, estimates the file size in kilobytes using `d3.csvFormat`, and presents the results as text in a `<pre>` element. An alternative commented-out approach using `fetch`, `d3.csvParse`, and `csvFormat` is also included.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/5b3c033df500468e9b9aa03901162bd5?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}