This example shows a 3D scatter plot comparing anthropometric measurements—height, weight, age, and body fat—from a CSV dataset. Two overlapping sets of markers display different variable combinations, with semi-transparent circles highlighting the relationships among these dimensions. The visualization uses Plotly's `scatter3d` type through the `Plotly.newPlot` API, while D3's `d3.csv` loads and parses the external data file. A custom layout removes the chart margins to maximize the plotting area.