This example presents a 3D multi-series bar chart visualizing attrition across departments for three years (2016–2018). It renders the categorical data as extruded bars in a spatial scene, with axes and grid lines for depth perception. The visualization leverages the `d3-x3d` library, which bridges D3.js v5 with X3DOM for WebGL-based 3D output. Data is loaded asynchronously from a CSV file using `d3.csv` and parsed into key-value pairs, then bound to the chart via `chartHolder.datum(data).call(myChart)`. The demo also includes sample random data generation for initial display before the real dataset loads.