Scatter Chart

Point scatter charts with multiple symbols and optional trend lines.

"use client"

import { ScatterChart } from "@/components/ui/charts"

// Rich dataset with many scattered points and varied sizes
const data = [
  {
    name: "Category A",
    color: "#1e40af",
    symbol: "circle" as const,
    data: [
      { x: 12, y: 85, size: 45 },
      { x: 25, y: 42, size: 28 },
      { x: 38, y: 68, size: 62 },
      { x: 52, y: 25, size: 35 },
      { x: 65, y: 78, size: 48 },
      { x: 78, y: 55, size: 22 },
      { x: 18, y: 92, size: 55 },
      { x: 42, y: 35, size: 32 },
      { x: 58, y: 88, size: 42 },
      { x: 72, y: 48, size: 38 },
      { x: 85, y: 72, size: 52 },
      { x: 32, y: 58, size: 28 },
      { x: 48, y: 15, size: 35 },
      { x: 62, y: 95, size: 65 },
      { x: 8, y: 65, size: 25 },
      { x: 92, y: 38, size: 42 },
    ],
  },
  {
    name: "Category B",
    color: "#2563eb",
    symbol: "circle" as const,
    data: [
      { x: 15, y: 52, size: 38 },
      { x: 28, y: 78, size: 45 },
      { x: 42, y: 32, size: 28 },
      { x: 55, y: 65, size: 52 },
      { x: 68, y: 88, size: 35 },
      { x: 82, y: 42, size: 48 },
      { x: 22, y: 72, size: 32 },
      { x: 35, y: 18, size: 25 },
      { x: 48, y: 58, size: 42 },
      { x: 62, y: 82, size: 55 },
      { x: 75, y: 28, size: 38 },
      { x: 88, y: 62, size: 45 },
      { x: 5, y: 45, size: 22 },
      { x: 95, y: 75, size: 58 },
      { x: 38, y: 92, size: 48 },
      { x: 72, y: 12, size: 32 },
    ],
  },
  {
    name: "Category C",
    color: "#3b82f6",
    symbol: "circle" as const,
    data: [
      { x: 18, y: 38, size: 42 },
      { x: 32, y: 62, size: 35 },
      { x: 45, y: 85, size: 55 },
      { x: 58, y: 22, size: 28 },
      { x: 72, y: 68, size: 48 },
      { x: 85, y: 45, size: 32 },
      { x: 25, y: 55, size: 38 },
      { x: 38, y: 78, size: 52 },
      { x: 52, y: 42, size: 25 },
      { x: 65, y: 92, size: 62 },
      { x: 78, y: 28, size: 35 },
      { x: 92, y: 58, size: 45 },
      { x: 12, y: 75, size: 38 },
      { x: 28, y: 15, size: 22 },
      { x: 68, y: 52, size: 42 },
      { x: 82, y: 88, size: 58 },
    ],
  },
  {
    name: "Category D",
    color: "#60a5fa",
    symbol: "circle" as const,
    data: [
      { x: 22, y: 48, size: 35 },
      { x: 35, y: 72, size: 48 },
      { x: 48, y: 28, size: 32 },
      { x: 62, y: 55, size: 42 },
      { x: 75, y: 82, size: 55 },
      { x: 88, y: 35, size: 28 },
      { x: 15, y: 68, size: 45 },
      { x: 28, y: 95, size: 62 },
      { x: 42, y: 18, size: 25 },
      { x: 55, y: 75, size: 52 },
      { x: 68, y: 42, size: 38 },
      { x: 82, y: 65, size: 48 },
      { x: 8, y: 88, size: 55 },
      { x: 95, y: 22, size: 32 },
      { x: 38, y: 58, size: 42 },
      { x: 72, y: 8, size: 28 },
    ],
  },
  {
    name: "Category E",
    color: "#93c5fd",
    symbol: "circle" as const,
    data: [
      { x: 10, y: 32, size: 28 },
      { x: 25, y: 58, size: 42 },
      { x: 40, y: 82, size: 55 },
      { x: 55, y: 15, size: 22 },
      { x: 70, y: 45, size: 35 },
      { x: 85, y: 72, size: 48 },
      { x: 18, y: 88, size: 58 },
      { x: 32, y: 25, size: 32 },
      { x: 48, y: 65, size: 45 },
      { x: 62, y: 38, size: 38 },
      { x: 78, y: 92, size: 62 },
      { x: 92, y: 52, size: 42 },
      { x: 5, y: 78, size: 48 },
      { x: 38, y: 42, size: 35 },
      { x: 65, y: 18, size: 25 },
      { x: 80, y: 58, size: 38 },
    ],
  },
]

export function ScatterChartDemo() {
  return (
    <div className="mx-auto w-full max-w-2xl">
      <ScatterChart
        data={data}
        width={560}
        height={400}
        sizeRange={[6, 24]}
        showLegend
        xAxisLabel="Cost Index"
        yAxisLabel="Performance Score"
        margin={{ top: 20, right: 30, bottom: 50, left: 70 }}
      />
    </div>
  )
}

About

The Scatter Chart component displays the relationship between two numerical variables. Built with D3, it supports:

Multiple data series with different colors
Various point symbols (circle, square, triangle, diamond, cross)
Bubble charts with size-mapped data points
Trend lines showing linear regression
Interactive tooltips with point details

Installation


pnpm dlx shadcn@latest add https://ui.simplifying.ai/r/scatter-chart.json

Usage

import { ScatterChart } from "@/components/ui/charts"
 
const data = [
  {
    name: "Dataset A",
    color: "#2563eb",
    data: [
      { x: 10, y: 20 },
      { x: 15, y: 35 },
      { x: 25, y: 45 },
    ],
  },
]
 
export function Example() {
  return <ScatterChart data={data} showLegend />
}

Examples

Default

The default scatter chart displays data points with circle symbols and an interactive legend for multiple series.

"use client"

import { ScatterChart } from "@/components/ui/charts"

// Rich dataset with many scattered points and varied sizes
const data = [
  {
    name: "Category A",
    color: "#1e40af",
    symbol: "circle" as const,
    data: [
      { x: 12, y: 85, size: 45 },
      { x: 25, y: 42, size: 28 },
      { x: 38, y: 68, size: 62 },
      { x: 52, y: 25, size: 35 },
      { x: 65, y: 78, size: 48 },
      { x: 78, y: 55, size: 22 },
      { x: 18, y: 92, size: 55 },
      { x: 42, y: 35, size: 32 },
      { x: 58, y: 88, size: 42 },
      { x: 72, y: 48, size: 38 },
      { x: 85, y: 72, size: 52 },
      { x: 32, y: 58, size: 28 },
      { x: 48, y: 15, size: 35 },
      { x: 62, y: 95, size: 65 },
      { x: 8, y: 65, size: 25 },
      { x: 92, y: 38, size: 42 },
    ],
  },
  {
    name: "Category B",
    color: "#2563eb",
    symbol: "circle" as const,
    data: [
      { x: 15, y: 52, size: 38 },
      { x: 28, y: 78, size: 45 },
      { x: 42, y: 32, size: 28 },
      { x: 55, y: 65, size: 52 },
      { x: 68, y: 88, size: 35 },
      { x: 82, y: 42, size: 48 },
      { x: 22, y: 72, size: 32 },
      { x: 35, y: 18, size: 25 },
      { x: 48, y: 58, size: 42 },
      { x: 62, y: 82, size: 55 },
      { x: 75, y: 28, size: 38 },
      { x: 88, y: 62, size: 45 },
      { x: 5, y: 45, size: 22 },
      { x: 95, y: 75, size: 58 },
      { x: 38, y: 92, size: 48 },
      { x: 72, y: 12, size: 32 },
    ],
  },
  {
    name: "Category C",
    color: "#3b82f6",
    symbol: "circle" as const,
    data: [
      { x: 18, y: 38, size: 42 },
      { x: 32, y: 62, size: 35 },
      { x: 45, y: 85, size: 55 },
      { x: 58, y: 22, size: 28 },
      { x: 72, y: 68, size: 48 },
      { x: 85, y: 45, size: 32 },
      { x: 25, y: 55, size: 38 },
      { x: 38, y: 78, size: 52 },
      { x: 52, y: 42, size: 25 },
      { x: 65, y: 92, size: 62 },
      { x: 78, y: 28, size: 35 },
      { x: 92, y: 58, size: 45 },
      { x: 12, y: 75, size: 38 },
      { x: 28, y: 15, size: 22 },
      { x: 68, y: 52, size: 42 },
      { x: 82, y: 88, size: 58 },
    ],
  },
  {
    name: "Category D",
    color: "#60a5fa",
    symbol: "circle" as const,
    data: [
      { x: 22, y: 48, size: 35 },
      { x: 35, y: 72, size: 48 },
      { x: 48, y: 28, size: 32 },
      { x: 62, y: 55, size: 42 },
      { x: 75, y: 82, size: 55 },
      { x: 88, y: 35, size: 28 },
      { x: 15, y: 68, size: 45 },
      { x: 28, y: 95, size: 62 },
      { x: 42, y: 18, size: 25 },
      { x: 55, y: 75, size: 52 },
      { x: 68, y: 42, size: 38 },
      { x: 82, y: 65, size: 48 },
      { x: 8, y: 88, size: 55 },
      { x: 95, y: 22, size: 32 },
      { x: 38, y: 58, size: 42 },
      { x: 72, y: 8, size: 28 },
    ],
  },
  {
    name: "Category E",
    color: "#93c5fd",
    symbol: "circle" as const,
    data: [
      { x: 10, y: 32, size: 28 },
      { x: 25, y: 58, size: 42 },
      { x: 40, y: 82, size: 55 },
      { x: 55, y: 15, size: 22 },
      { x: 70, y: 45, size: 35 },
      { x: 85, y: 72, size: 48 },
      { x: 18, y: 88, size: 58 },
      { x: 32, y: 25, size: 32 },
      { x: 48, y: 65, size: 45 },
      { x: 62, y: 38, size: 38 },
      { x: 78, y: 92, size: 62 },
      { x: 92, y: 52, size: 42 },
      { x: 5, y: 78, size: 48 },
      { x: 38, y: 42, size: 35 },
      { x: 65, y: 18, size: 25 },
      { x: 80, y: 58, size: 38 },
    ],
  },
]

export function ScatterChartDemo() {
  return (
    <div className="mx-auto w-full max-w-2xl">
      <ScatterChart
        data={data}
        width={560}
        height={400}
        sizeRange={[6, 24]}
        showLegend
        xAxisLabel="Cost Index"
        yAxisLabel="Performance Score"
        margin={{ top: 20, right: 30, bottom: 50, left: 70 }}
      />
    </div>
  )
}

Bubble Chart

Use the size property on data points to create bubble charts. The sizeRange prop controls the min/max bubble sizes.

"use client"

import { ScatterChart } from "@/components/ui/charts"

// Company market data with size representing market cap
const data = [
  {
    name: "Tech Companies",
    color: "#1e40af",
    data: [
      { x: 15, y: 85, size: 120, label: "TechCorp" },
      { x: 45, y: 72, size: 85, label: "DataSoft" },
      { x: 65, y: 90, size: 150, label: "CloudNet" },
      { x: 80, y: 65, size: 60, label: "AppWorks" },
      { x: 35, y: 55, size: 45, label: "CodeLab" },
    ],
  },
  {
    name: "Finance Companies",
    color: "#3b82f6",
    data: [
      { x: 25, y: 45, size: 100, label: "FinBank" },
      { x: 55, y: 78, size: 130, label: "InvestCo" },
      { x: 70, y: 52, size: 75, label: "TradeFirm" },
      { x: 40, y: 88, size: 95, label: "WealthMgmt" },
    ],
  },
]

export function ScatterChartBubbleDemo() {
  return (
    <div className="mx-auto w-full max-w-2xl">
      <ScatterChart
        data={data}
        width={500}
        height={320}
        showLegend
        sizeRange={[8, 28]}
        xAxisLabel="Growth Rate (%)"
        yAxisLabel="Profit Margin (%)"
      />
    </div>
  )
}

const data = [
  {
    name: "Dataset A",
    data: [
      { x: 10, y: 20, size: 30 },
      { x: 15, y: 35, size: 50 },
      { x: 25, y: 45, size: 20 },
    ],
  },
]
 
<ScatterChart data={data} sizeRange={[6, 20]} />

With Trend Line

Enable showTrendLine to display a linear regression line through the data points.

"use client"

import { ScatterChart } from "@/components/ui/charts"

// Study hours vs test scores with trend line
const data = [
  {
    name: "Student Performance",
    color: "#2563eb",
    data: [
      { x: 2, y: 55 },
      { x: 3, y: 62 },
      { x: 4, y: 68 },
      { x: 5, y: 72 },
      { x: 6, y: 75 },
      { x: 7, y: 82 },
      { x: 8, y: 85 },
      { x: 9, y: 88 },
      { x: 10, y: 92 },
      { x: 4.5, y: 65 },
      { x: 5.5, y: 78 },
      { x: 6.5, y: 80 },
      { x: 7.5, y: 84 },
      { x: 8.5, y: 90 },
    ],
  },
]

export function ScatterChartTrendlineDemo() {
  return (
    <div className="mx-auto w-full max-w-2xl">
      <ScatterChart
        data={data}
        width={500}
        height={320}
        showTrendLine
        showLegend={false}
        xAxisLabel="Study Hours"
        yAxisLabel="Test Score"
      />
    </div>
  )
}

<ScatterChart data={data} showTrendLine />

Multiple Symbols

Each series can have its own symbol type for better differentiation.

"use client"

import { ScatterChart } from "@/components/ui/charts"

// Different product categories with unique symbols
const data = [
  {
    name: "Electronics",
    color: "#1e40af",
    symbol: "circle" as const,
    data: [
      { x: 20, y: 75 },
      { x: 45, y: 82 },
      { x: 70, y: 68 },
      { x: 85, y: 90 },
    ],
  },
  {
    name: "Clothing",
    color: "#2563eb",
    symbol: "square" as const,
    data: [
      { x: 15, y: 45 },
      { x: 40, y: 55 },
      { x: 60, y: 62 },
      { x: 80, y: 48 },
    ],
  },
  {
    name: "Food & Beverage",
    color: "#3b82f6",
    symbol: "triangle" as const,
    data: [
      { x: 25, y: 35 },
      { x: 50, y: 42 },
      { x: 65, y: 38 },
      { x: 90, y: 52 },
    ],
  },
  {
    name: "Home & Garden",
    color: "#60a5fa",
    symbol: "diamond" as const,
    data: [
      { x: 30, y: 58 },
      { x: 55, y: 72 },
      { x: 75, y: 65 },
      { x: 95, y: 78 },
    ],
  },
]

export function ScatterChartSymbolsDemo() {
  return (
    <div className="mx-auto w-full max-w-2xl">
      <ScatterChart
        data={data}
        width={500}
        height={340}
        size={10}
        showLegend
        xAxisLabel="Price Point ($)"
        yAxisLabel="Customer Rating"
      />
    </div>
  )
}

const data = [
  { name: "Series A", symbol: "circle", data: [...] },
  { name: "Series B", symbol: "square", data: [...] },
  { name: "Series C", symbol: "triangle", data: [...] },
]
 
<ScatterChart data={data} />

Correlation Analysis

Visualize correlations between variables with trend lines.

"use client"

import { ScatterChart } from "@/components/ui/charts"

// Temperature vs ice cream sales (positive correlation)
const data = [
  {
    name: "Ice Cream Sales",
    color: "#2563eb",
    data: [
      { x: 55, y: 120 },
      { x: 60, y: 180 },
      { x: 65, y: 220 },
      { x: 70, y: 280 },
      { x: 75, y: 350 },
      { x: 80, y: 420 },
      { x: 85, y: 480 },
      { x: 90, y: 520 },
      { x: 58, y: 150 },
      { x: 68, y: 260 },
      { x: 78, y: 390 },
      { x: 88, y: 495 },
    ],
  },
]

export function ScatterChartCorrelationDemo() {
  return (
    <div className="mx-auto w-full max-w-2xl">
      <ScatterChart
        data={data}
        width={500}
        height={320}
        showTrendLine
        showLegend={false}
        symbol="circle"
        size={9}
        xAxisLabel="Temperature (°F)"
        yAxisLabel="Daily Sales ($)"
      />
    </div>
  )
}

<ScatterChart
  data={data}
  showTrendLine
  xAxisLabel="Variable X"
  yAxisLabel="Variable Y"
/>

API Reference

Prop	Type	Default	Description
data	ScatterChartSeries[]	required	Array of data series
symbol	"circle" \| "square" \| "triangle" \| "diamond" \| "cross"	"circle"	Default point symbol
size	number	8	Default point size
showTrendLine	boolean	false	Show linear regression line
sizeRange	[number, number]	[6, 20]	Size range for bubble charts
xAxisLabel	string	-	Label for x-axis
yAxisLabel	string	-	Label for y-axis
showGrid	boolean	true	Show grid lines
showLegend	boolean	true	Show legend
showTooltip	boolean	true	Show tooltip on hover

Data Types

interface ScatterChartDataPoint {
  x: number // X-axis value
  y: number // Y-axis value
  size?: number // Optional size for bubble charts
  label?: string // Optional label for the point
}
 
interface ScatterChartSeries {
  name: string // Series name for legend/tooltip
  data: ScatterChartDataPoint[] // Array of data points
  color?: string // Optional: override series color
  symbol?: "circle" | "square" | "triangle" | "diamond" | "cross" // Point symbol
}

Notes

Scatter charts are best for showing relationships and correlations between two continuous variables.
Use bubble charts (with size property) to add a third dimension of data.
Different symbols help distinguish multiple series when color alone isn't sufficient.
Trend lines use linear regression to show the general direction of the data.
For optimal readability, limit the number of data series to 5 or fewer.
Consider using logarithmic scales for data spanning multiple orders of magnitude.
Grid lines help users estimate values but can be disabled for a cleaner look.

Area Chart Pie Chart

On This Page

About Installation Usage Examples Default Bubble Chart With Trend Line Multiple Symbols Correlation Analysis API Reference Data Types Notes

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