{"version":"1.0","type":"rich","title":"heat_students","description":"This visualization is a heatmap displaying student performance data across five quantile ranks, with values ranging from approximately 0.5 to 0.92. The dataset is loaded from a CSV file and rendered as an SVG grid using D3 v3, where each cell is color-coded according to its value. A diverging color scale visually distinguishes higher values in one hue and lower values in another, making patterns in the ranked performance metrics immediately apparent. The rows represent individual students or records, while the five columns correspond to the conditional quantile ranks, allowing viewers to compare performance distributions across ranks at a glance. The block is a fork of mbostock's original heat_students example, preserving the core heatmap concept while adapting the data and styling. It is rendered entirely with SVG and uses D3's data-join to bind the CSV data to rectangles, with a color scale mapping numeric values to fill colors. The visualization is suitable for identifying clusters of high or low performance across the five quantile conditions.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"","width":960,"height":500,"cache_age":3600}