This example shows a 3D scatter plot of insurance data, overlaying two traces: one maps age and sex against BMI, while the other maps the same age and sex axes against charges. The visualization uses Plotly’s `scatter3d` type, with markers rendered via the `Plotly.newPlot` API. Data is loaded asynchronously from a remote CSV using `d3.csv`, and the `unpack` function extracts columns for each trace. The layout collapses all margins, producing a frameless plot.