This example shows two 3D scatter plots of agricultural data, comparing crop production and district names against crop year, season, and area. The visualization uses Plotly's `scatter3d` traces rendered inside a `myDiv` container, with data loaded from a CSV file via D3.js’s `d3.csv`. Each trace maps distinct dataset columns to the x, y, and z axes, using marker size, color, and opacity to differentiate the points. The code relies on Plotly’s `newPlot` API to render the interactive chart.