{"version":"1.0","type":"rich","title":"Loading and Parsing the Student Performances Dataset","description":"This visualization demonstrates how to load and parse a CSV dataset of student exam performances from a Kaggle-sourced gist. It shows the file size in kilobytes, the number of rows, and the number of columns in the dataset. The code uses `d3.csv` to fetch the remote CSV file, then calculates the size with `d3.csvFormat` and `.length`, and displays the results as large text in a `<pre>` element. The page relies on D3 v7 for data loading and formatting.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/ebb7bc4c9b204cf68dd3256efd9392a0?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}