{"version":"1.0","type":"rich","title":"Programming_languages_demand","description":"This example demonstrates a simple D3.js data-loading and parsing workflow. It fetches a CSV file from a GitHub gist, cleans its formatting, and uses `d3.csvParse` to convert the text into a tabular data structure. The visualization then displays a summary of the dataset—its size in kilobytes, row count, and column count—in a styled HTML box, while also logging this information to the console. Finally, it appends a static SVG containing a circle and a rectangle to the page, using D3's selection and attribute methods.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/e03be7d2c17848ffb11c6a4a67cc6d2f?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}