{"version":"1.0","type":"rich","title":"loading and parsing data","description":"This example demonstrates the basic step of loading and parsing a remote CSV file with D3. It fetches text from a GitHub-hosted dataset of CSS named colors, uses `d3.csvParse` to convert the raw text into a structured data table, and then displays summary statistics. The visualization is purely textual, presenting the file size in kilobytes, the number of data rows, and the number of columns in a large `<pre>` element. The code relies on the modern `fetch` API and `async`/`await` syntax to retrieve the data.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/01b8a9ea106a44ccbd5225fad5ed2ee1?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}