The Table component is a powerful way to present structured data, enabling users to scan, compare, and take action efficiently. It supports various use cases such as product listings, customer data, analytics, and financial information. With clear organization and flexible customization, tables help maintain readability even with large datasets.

Key Features

• Multiple row and column configurations

• Support for text, tags, images, icons, and links inside cells

• Sorting and filtering options for interactive data exploration

• Variants for compact, standard, and expanded table density

• Optional sticky headers and columns for large datasets

• Responsive design adapting to desktop and mobile layouts

• Support for data visualizations (trend lines, badges, scores) inside cells

Design Considerations

• Maintain consistent column spacing and alignment for readability

• Use hierarchy (e.g., bold text, tags, icons) to highlight key information

• Keep column labels concise and descriptive

• Apply visual distinctions between rows (zebra striping, dividers) for scanning clarity

• Ensure accessibility with proper semantic markup and keyboard navigation support

• Avoid overloading tables with too many columns—prioritize what’s most relevant

Usage Guidelines

• Use tables for structured, comparable data, not for free-form content

• Limit the number of visible columns on smaller screens; consider collapsible or scrollable layouts

• Group related information together (e.g., company name + link + amount) for context

• Provide interactive elements (sort, filter, expand) only when they add meaningful value

• Consider alternative components like lists or cards when data is less structured