Join our Discord community
Radar chart

Multi-Series Radar Chart

Visualize and compare multiple data series with overlapping radar charts. Perfect for comparing desktop vs mobile metrics, performance across different categories, or any multi-dimensional comparison. Built for React applications with Next.js integration and TypeScript support.

Powered by

Loading component...

Installation

npx shadcn@latest add https://www.shadcn.io/registry/radar-chart-11.json
npx shadcn@latest add https://www.shadcn.io/registry/radar-chart-11.json
pnpm dlx shadcn@latest add https://www.shadcn.io/registry/radar-chart-11.json
bunx shadcn@latest add https://www.shadcn.io/registry/radar-chart-11.json

Features

  • Multiple data series comparison with desktop and mobile data overlays
  • Different fill opacities (desktop: 0.6, mobile: default) for visual hierarchy
  • Line indicator tooltips showing data points for both series on hover
  • Distinct color coding using chart-1 and chart-2 CSS variables
  • Standard polygonal grid for traditional radar chart reference
  • Overlapping visualization allowing direct comparison between data sets
  • Responsive design with automatic scaling to fit container
  • TypeScript support with complete type definitions for all props
  • shadcn/ui integration using Chart components

Use Cases

This free open source React component works well for:

  • Platform comparison - Compare desktop vs mobile performance metrics
  • Multi-category analysis - Analyze performance across different dimensions
  • Competitive analysis - Compare your metrics against competitors
  • Before/after comparisons - Show improvements or changes over time
  • Team performance - Compare different teams or departments

API Reference

ChartRadarMultiple

PropTypeDefaultDescription
classNamestring-Additional CSS classes for the container

Implementation Notes

  • Two Radar components for desktop and mobile data series
  • Desktop series uses 0.6 fillOpacity for subtle background
  • Mobile series uses default fill opacity (typically 0.8) for prominence
  • Tooltip configured with indicator="line" for multi-series identification
  • Data structure requires category field (month) and multiple numeric series
  • Chart automatically handles color assignment through chartConfig
  • Colors use CSS variables (--chart-1, --chart-2) for theme consistency
  • Standard PolarGrid and PolarAngleAxis for traditional radar appearance
  • Chart automatically maintains aspect ratio within container
  • Perfect for scenarios requiring direct visual comparison between datasets
  • Overlapping areas help identify where one series outperforms another