{"version":"1.0","type":"rich","title":"Parsing CSV data with D3","description":"This example shows how to parse a CSV file and report basic characteristics of the dataset, including row count, column count, and approximate file size in kilobytes. The visualization is text-based, displaying these statistics in a large `<pre>` element. It loads a CSS color list from a GitHub gist using D3 v5’s `d3.csv` method, which returns a promise, and then formats the output with `d3.csvFormat`. The page is a minimal HTML document styled with CSS and rendered within a React framework.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/0d211d8f4101441ead4bd21be205cf62?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}