The visualization shows training progress across four reinforcement-learning environments—Hopper, Walker, Humanoid, and Ant—by comparing their total training steps, wall-clock time, and throughput. It uses a table-style layout rendered with plain HTML and CSS, drawing data from a TSV file. Each environment row displays its metrics, with the steps-per-second value visually encoded as a horizontal bar, making the relative performance of each task immediately comparable. The code loads the data via `d3.tsv` and constructs the bar chart using SVG `rect` elements scaled by the parsed numeric values.