{"version":"1.0","type":"rich","title":"hw1","description":"This visualization displays the classic Iris flower dataset, showing all 150 samples as a grid of solid squares. The code loads the CSV data using `d3.csv`, converts the numeric columns, and renders each row as a 300-by-300-pixel rectangle via D3’s data join and `svg.selectAll('rect')`. While an `xScale` is defined with `d3.scaleLinear` based on sepal length, the rendered rectangles do not use any positional encoding, resulting in a static, uniform arrangement without visual differentiation between flower species.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/f42d6e3d63454777a833cbdd578db7b2?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}