AG Charts Strip Chart

Enterprise-grade charting library for web applications

Enterprise
Real-time
Responsive

AG Charts Introduction

Learn about AG Charts' powerful capabilities for creating enterprise strip charts

What is AG Charts?

AG Charts is a powerful, enterprise-grade charting library that provides excellent strip chart capabilities for web applications. It offers high-performance rendering with extensive customization options.

Key Features

  • High-performance rendering
  • Real-time data updates
  • Interactive zoom and pan
  • Multiple chart types
  • Responsive design
  • TypeScript support

Main Applications

  • Enterprise web applications
  • Financial dashboards
  • IoT monitoring platforms
  • Analytics applications
  • Business intelligence
  • Real-time monitoring

Advantages of Using AG Charts for Strip Charts

Why AG Charts is the preferred choice for enterprise strip chart applications

High Performance

Optimized for high-performance rendering with efficient data handling, making it ideal for large datasets and real-time strip chart applications.

Rich Interactivity

Advanced interactive features including zoom, pan, hover effects, and real-time data manipulation for enhanced user experience in enterprise applications.

Responsive Design

Built-in responsive design capabilities that automatically adapt to different screen sizes and devices for optimal viewing across all platforms.

TypeScript Support

Full TypeScript support with comprehensive type definitions, providing excellent developer experience and code maintainability for enterprise projects.

Framework Integration

Seamless integration with popular frameworks like React, Angular, and Vue.js, making it easy to integrate into existing enterprise applications.

Enterprise Support

Professional support and documentation with enterprise-grade features, ensuring reliable operation in critical business applications.

Step-by-Step Guide: Creating Strip Charts in AG Charts

Follow these detailed steps to create enterprise strip charts in AG Charts

1

Install AG Charts Library

AG Charts Installation

Install the AG Charts library in your project using npm or include it via CDN, then set up the basic project structure.

  • Install via npm: npm install ag-charts-community
  • Or include via CDN
  • Set up project structure
  • Configure build tools
2

Create HTML Container

HTML Container Setup

Create an HTML container element for your strip chart and set up the basic HTML structure with proper styling.

  • Create HTML container div
  • Set container dimensions
  • Add CSS styling
  • Configure responsive design
3

Initialize AG Charts Instance

AG Charts Initialization

Initialize the AG Charts instance with basic configuration for strip chart functionality and real-time data updates.

  • Import AG Charts library
  • Create chart instance
  • Configure basic options
  • Set up data binding
4

Configure Strip Chart Properties

Strip Chart Configuration

Configure the strip chart properties including data series, axes, colors, and real-time update settings for optimal performance.

  • Configure data series
  • Set up axes and scaling
  • Configure colors and styling
  • Set up real-time updates
5

Implement Real-time Data Updates

Real-time Data Implementation

Implement real-time data updates using WebSocket connections, AJAX requests, or other data sources for live strip chart visualization.

  • Set up data source connections
  • Implement update mechanisms
  • Handle data buffering
  • Add error handling

AG Charts Code Examples and Applications

Practical code examples and real-world applications for AG Charts strip charts

Basic AG Charts Strip Chart Implementation

// AG Charts Strip Chart Implementation
import { AgCharts } from 'ag-charts-community';

const options = {
    data: [],
    series: [{
        type: 'line',
        xKey: 'time',
        yKey: 'value',
        stroke: '#2563eb',
        strokeWidth: 2
    }],
    axes: [{
        type: 'time',
        position: 'bottom',
        title: { text: 'Time' }
    }, {
        type: 'number',
        position: 'left',
        title: { text: 'Value' }
    }],
    title: { text: 'Real-time Strip Chart' }
};

const chart = AgCharts.create(options);

// Real-time update function
function updateStripChart(newData) {
    const currentTime = new Date();
    chart.data.push({
        time: currentTime,
        value: newData
    });
    
    // Keep only last 1000 points
    if (chart.data.length > 1000) {
        chart.data.shift();
    }
    
    AgCharts.update(chart, options);
}

// Start real-time updates
setInterval(() => {
    const newData = Math.sin(Date.now() * 0.001) + Math.random() * 0.5;
    updateStripChart(newData);
}, 100);

Explanation:

This basic implementation creates a simple strip chart using AG Charts with real-time updates. The chart automatically maintains a rolling window of data points and updates smoothly for better performance.

Multi-Channel Enterprise Strip Chart

// Multi-Channel Enterprise Strip Chart
// Supporting multiple data channels with enterprise features

const enterpriseOptions = {
    data: [],
    series: [
        {
            type: 'line',
            xKey: 'time',
            yKey: 'temperature',
            stroke: '#ef4444',
            strokeWidth: 2,
            yName: 'Temperature'
        },
        {
            type: 'line',
            xKey: 'time',
            yKey: 'pressure',
            stroke: '#3b82f6',
            strokeWidth: 2,
            yName: 'Pressure'
        },
        {
            type: 'line',
            xKey: 'time',
            yKey: 'flow',
            stroke: '#10b981',
            strokeWidth: 2,
            yName: 'Flow Rate'
        }
    ],
    axes: [{
        type: 'time',
        position: 'bottom',
        title: { text: 'Time' }
    }, {
        type: 'number',
        position: 'left',
        title: { text: 'Temperature (°C)' }
    }, {
        type: 'number',
        position: 'right',
        title: { text: 'Pressure (bar)' }
    }],
    title: { text: 'Multi-Channel Industrial Monitoring' },
    legend: { position: 'bottom' }
};

const enterpriseChart = AgCharts.create(enterpriseOptions);

// Multi-channel update function
function updateMultiChannelChart(temperature, pressure, flow) {
    const currentTime = new Date();
    enterpriseChart.data.push({
        time: currentTime,
        temperature: temperature,
        pressure: pressure,
        flow: flow
    });
    
    // Keep only last 2000 points
    if (enterpriseChart.data.length > 2000) {
        enterpriseChart.data.shift();
    }
    
    AgCharts.update(enterpriseChart, enterpriseOptions);
}

Explanation:

This enterprise implementation demonstrates how to create a multi-channel strip chart with different Y-axes, multiple data series, and professional styling suitable for industrial monitoring applications.

Advanced Strip Chart with Analytics

// Advanced Strip Chart with Analytics
// Including statistical analysis and interactive features

const advancedOptions = {
    data: [],
    series: [{
        type: 'line',
        xKey: 'time',
        yKey: 'value',
        stroke: '#2563eb',
        strokeWidth: 2,
        marker: {
            enabled: false
        }
    }, {
        type: 'line',
        xKey: 'time',
        yKey: 'trend',
        stroke: '#ef4444',
        strokeWidth: 1,
        strokeDasharray: [5, 5]
    }],
    axes: [{
        type: 'time',
        position: 'bottom',
        title: { text: 'Time' },
        tick: { count: 10 }
    }, {
        type: 'number',
        position: 'left',
        title: { text: 'Value' }
    }],
    title: { text: 'Advanced Analytics Strip Chart' },
    background: { fill: '#f8fafc' },
    padding: { top: 20, right: 20, bottom: 20, left: 20 }
};

const advancedChart = AgCharts.create(advancedOptions);

// Advanced analytics function
function updateAdvancedStripChart(newData) {
    const currentTime = new Date();
    
    // Calculate moving average
    const windowSize = 10;
    const recentData = advancedChart.data.slice(-windowSize);
    const movingAverage = recentData.reduce((sum, point) => sum + point.value, 0) / recentData.length;
    
    advancedChart.data.push({
        time: currentTime,
        value: newData,
        trend: movingAverage
    });
    
    // Keep only last 5000 points
    if (advancedChart.data.length > 5000) {
        advancedChart.data.shift();
    }
    
    AgCharts.update(advancedChart, advancedOptions);
}

// Add interactive features
advancedChart.addEventListener('click', (event) => {
    console.log('Chart clicked:', event);
});

// Export functionality
function exportChart() {
    const canvas = advancedChart.scene.canvas;
    const dataURL = canvas.toDataURL('image/png');
    const link = document.createElement('a');
    link.download = 'strip-chart.png';
    link.href = dataURL;
    link.click();
}

Explanation:

This advanced implementation includes statistical analysis, interactive features, and export capabilities, demonstrating AG Charts' comprehensive enterprise features for sophisticated data visualization.

AG Charts Strip Chart Applications

See how AG Charts strip charts are used in actual enterprise applications

Financial Analytics

Financial Analytics and Trading Platforms

Financial institutions use AG Charts strip charts to display real-time market data, stock prices, and trading metrics for investment analysis and trading platforms.

  • Real-time market data
  • Stock price monitoring
  • Trading volume analysis
  • Portfolio performance tracking

IoT Monitoring

IoT Monitoring and Smart Systems

IoT platforms use AG Charts strip charts to monitor sensor data, track device performance, and visualize real-time data from connected devices.

  • Sensor data visualization
  • Device performance monitoring
  • Real-time data streaming
  • Predictive analytics

Business Intelligence

Business Intelligence and Analytics

Enterprise applications use AG Charts strip charts to visualize business metrics, track KPIs, and provide real-time insights for decision-making.

  • KPI monitoring
  • Business metric tracking
  • Performance analytics
  • Executive dashboards