{"version":"1.0","type":"rich","title":"Loading and Parsing CSV data Xizhi","description":"This example demonstrates the loading and parsing of CSV data by fetching a remote CSS named colors dataset and displaying concise summary statistics. The visualization presents three key metrics—file size in kilobytes, row count, and column count—in a large, bold text format. It uses the D3.js library (v7) with the `d3.csv()` method to asynchronously load and parse the data, while also calculating the formatted CSV string length with `d3.csvFormat()`. A commented alternative shows the same functionality using the Fetch API with `fetch()` and `d3.csvParse()`. The data source is a GitHub Gist containing the CSS named colors table.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/d1e068c3aedf43c291cc2d7560327661?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}