{"version":"1.0","type":"rich","title":"Fork of  ICE5-Tejaswi_Tummala - Learning and Parsing the CSV data with D3.js","description":"This example demonstrates how to load and parse CSV data using D3.js, displaying basic file statistics such as size, row count, and column count. The visualization reads data from an external GitHub Gist URL via `d3.csv`, then shows the computed metrics in a styled `<pre>` element. It also embeds a static SVG house image. The code uses D3 v7, plain HTML, and CSS, with the `d3.csv` and `d3.csvFormat` APIs to handle the data pipeline and generate the user-facing message.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/d864d28035a24da1b871f70ac5e5be60?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}