This example visualizes the classic Iris dataset as an interactive 3D scatter plot, displaying two traces that map sepal and petal measurements against different axes. The plot uses Plotly’s `Plotly.newPlot` function to render scatter3d markers with adjustable size, opacity, and color, while D3’s `d3.csv` loads the dataset from a GitHub gist. The layout removes all margins, focusing attention on the three-dimensional point distribution.