Error Bars Demo

Error bars visualize uncertainty, variability, or confidence intervals in your scientific measurements. This is essential for calibration curves, replicate data, and any measurements where uncertainty needs to be communicated.

Interactive Example

This demo shows:

• Blue line - Symmetric error bars (±error same in both directions)
• Red points - Asymmetric error bars (different upper/lower errors)

📊 0 points 🚀 0 FPS

Scroll to zoom • Drag to pan • Error bars support

Types of Error Bars

Symmetric Error

Same error value in both directions:

data: {
  x: concentrations,
  y: currents,
  yError: standardDeviation  // ±value
}

Asymmetric Error

Different values for upper and lower bounds:

data: {
  x: values,
  y: means,
  yErrorPlus: upperErrors,    // +value
  yErrorMinus: lowerErrors    // -value
}

Code Example

import { createChart } from 'scichart-engine';

const chart = createChart({
  container: document.getElementById('chart'),
  theme: 'midnight',
  xAxis: { label: 'Concentration (M)' },
  yAxis: { label: 'Current (µA)' }
});

// Sample data with symmetric error
const x = new Float32Array([0.1, 0.2, 0.3, 0.4, 0.5]);
const y = new Float32Array([5.2, 10.5, 15.8, 20.1, 25.3]);
const yError = new Float32Array([0.5, 0.8, 0.6, 0.7, 0.9]);

chart.addSeries({
  id: 'calibration',
  type: 'line+scatter',
  data: { x, y, yError },
  style: {
    color: '#00f2ff',
    pointSize: 8,
    errorBars: {
      color: '#00f2ff',
      width: 1.5,
      capWidth: 10,
      opacity: 0.8
    }
  }
});

Use Cases

• Calibration curves - Show standard deviation of replicates
• Electrochemical data - Display instrumental uncertainty
• Statistical analysis - Confidence intervals, min/max ranges
• Quality control - Tolerance bands and limits