State-Driven GSAP Timelines for Interactive Data Visualizations

Act as a Data Visualization Engineer. Create a highly complex, state-driven GSAP timeline architecture that programmatically animates an SVG-based [CHART_TYPE] (e.g., a multi-axis scatter plot) reacting to real-time mutations in a massive [DATA_SET]. Every single data point's spatial translation must execute over a strict [TRANSITION_DURATION] utilizing a highly organic [EASING_TYPE] (e.g., `elastic.out`). You must explicitly implement D3.js-style 'enter', 'update', and 'exit' lifecycle states for the DOM elements, leveraging GSAP's high-performance sequencing engine to handle the staggered interpolation of heights, colors, and coordinates without dropping frames during heavy data filtering events.