{"version":"1.0","type":"rich","title":"Parsing CSV Data with D3","description":"This visualization demonstrates how to parse CSV data using D3.js by fetching a remote file and displaying summary statistics. The page shows the dataset’s row count, column count, and file size in kilobytes within a large text element. It uses D3’s `d3.csv()` function to load and parse the CSV from a GitHub gist, then formats the data with `d3.csvFormat()` to calculate its size. The example also includes commented-out code using `fetch()`, `async`/`await`, and `d3.csvParse()` as an alternative parsing approach.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/469a383e2f024f329fe4326d5e1c1ac6?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}