{"version":"1.0","type":"rich","title":"Q3","description":"This example presents a data-summary and preview tool for library book CSV data. It loads a user-provided CSV file and displays a statistical summary of each column, distinguishing numeric columns with min/max/mean values from categorical columns with unique counts. The application then renders the first ten rows of data in a styled HTML table. All visualization is built using the D3.js library (v7), primarily using `d3.csvParse` with `d3.autoType` for data ingestion and `d3.min`, `d3.max`, and `d3.mean` for column analysis. A separate static SVG graphic demonstrates basic shapes like rectangles, circles, and polygons.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/7ddc5041c6ab4f9482b3e15cc0851b71?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}