{"version":"1.0","type":"rich","title":"Churn of a company CSV Data","description":"This example loads a CSV dataset on employee churn from a Kaggle-hosted file and uses D3 v5’s `d3.csv` to parse it. The visualization displays only summary statistics: the file size in kilobytes, the number of data rows, and the number of columns, rendered as large text in a `<pre>` element. The code also demonstrates an alternative approach using the Fetch API with `async/await` and `d3.csvParse`, though that path remains commented out. The interface is minimal, showing no charts or plots, but serves as a concise data-loading and formatting check.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/405058cbc97242bca0f127993160c07f?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}