This 3D bar plot visualizes scientific data as a grid of colored cubes, with each cube’s height representing a negative value from a uniform random distribution. The visualization supports interactive rotation via drag gestures on the SVG canvas, using the d3-3d library to project 3D coordinates and manage cube faces, while d3.drag handles user input. The code also includes a separate index.js file that uses Plotly to render a 3D scatter plot from a CSV dataset hosted on GitHub.