Does your chart update automatically, or does it actually think?
Most visualization libraries promise magic: bind the data, watch it flow, and insight appears. But reactivity without accountability produces charts that move beautifully while meaning nothing. This book rejects the trivial. It treats reactive visualization not as technical convenience, but as intellectual discipline-systems that justify their own existence under pressure from data, interaction, and time.
You will not find recipes for decorative graphics here. Instead, you will learn to architect charts that remain stable as complexity grows, to force animation to serve argument rather than distraction, and to wield Svelte's declarative reactivity against D3's imperative precision until both yield something more rigorous than either could alone.
Inside, you will learn how to:
- Build visualization systems that expose their own assumptions through reactive state management, ensuring charts never silently rewrite their meaning as data shifts
- Engineer interactions that stabilize interpretive semantics-where hover states and transitions deepen understanding rather than substitute for it
- Implement performance optimizations that reveal their trade-offs openly, refusing the false choice between speed and clarity
- Structure data flows where geometry, scale choices, and accessibility constraints respond coherently to real-time updates without architectural decay
Your dashboards deserve intellectual integrity. Stop automating charts. Start designing systems that reason.
