Data Grid

Data Grid Overview

At its core, data grid is about doing one thing well inside your design systems project. Once you understand the pattern, you can apply it consistently across features and teams.

Good data grid pays off across the whole codebase: fewer surprises, easier testing, and smoother onboarding. The snippet below is a solid starting point.

:root {
  --space-1: 4px;
  --space-2: 8px;
  --space-4: 16px;
  --radius-md: 8px;
}

.card {
  padding: var(--space-4);
  border-radius: var(--radius-md);
}

Spacing and radius tokens create a predictable rhythm so layouts feel consistent everywhere.

Data Grid Example

/* Tokens flow into components, which flow into products */
:root { --color-brand-500: #2563eb; }
.button { background: var(--color-brand-500); }

• Start from a minimal Data Grid example and grow it only as needed.
• Keep configuration explicit so Data Grid behaves the same in every environment.
• Name things clearly so teammates understand your Data Grid at a glance.
• Add tests around Data Grid early to lock in expected behaviour.

Design System Cheatsheet

Quick reference for data grid within a modern design system.

How Data Grid Fits into a Design System

Data Grid connects the design decisions in your system to the code teams actually ship. When it is defined once and reused, products stay consistent and updates roll out everywhere.

Spacing and radius tokens create a predictable rhythm so layouts feel consistent everywhere.

• Define it once as a token or shared component.
• Document intended usage with clear examples.
• Make it themeable and accessible by default.
• Version and release changes so consumers can upgrade safely.

Getting Teams to Adopt Data Grid

Adoption is where design systems succeed or stall. Make data grid the easiest option: great docs, sensible defaults, and clear migration paths beat mandates every time.

Common Mistakes

• Copying data grid snippets without understanding what each line does.
• Skipping error handling and edge cases when wiring up data grid.
• Leaving data grid untested, so regressions slip into production.
• Over-engineering data grid before you actually need the extra flexibility.

Key Takeaways

• Data Grid is a core part of working effectively with design systems.
• Start small and keep data grid focused on a single responsibility.
• Apply consistent patterns so data grid scales across your project.
• Test and document data grid to keep it maintainable over time.