{"version":"1.0","type":"rich","title":"ICE5-Tejaswi_Tummala - Learning and Parsing\n      the CSV data with D3.js","description":"This example demonstrates how to load and parse a CSV file using D3.js version 7, displaying basic dataset statistics in the browser. The code fetches a remote CSV from a GitHub gist via `d3.csv`, counts the rows and columns, and computes the data size in kilobytes using `d3.csvFormat` and `Math.round`. The resulting message, including the row and column counts, is rendered inside a styled `<pre>` element with an aquamarine background. The page provides a minimal, text-based overview of CSV data properties without any charts or visualizations.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/f3d42e2481b3421b997c13957716c1ae?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}