{"version":"1.0","type":"rich","title":"Loading and Parsing CSV Data using D3","description":"This example demonstrates the basic workflow of loading and inspecting tabular data with D3. It fetches a CSV file of CSS named colors from a GitHub gist and displays a concise summary of its contents, including file size, row count, and column count. The visualization uses `d3.csv` to asynchronously parse the remote data, `d3.csvFormat` to compute the raw data size, and DOM text content to render the results in a large `<pre>` element. The page relies on D3 v6 and shows no chart, focusing instead on data parsing mechanics.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/3d3762a67f2b43c7af8795ae4a17d3a4?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}