SciChart.js Tutorial #2 | Adding Series & Data to JavaScript Charts

Publicado el: 14 octubre 2020
en el canal de: SciChart: The fastest high precision charts
2,174
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Learn how to add multiple data series and big datasets to JavaScript charts using SciChart.js, the high-performance WebGL charting library. This is Tutorial #2 in the SciChart.js series, where we explore how to create fast, scalable visualizations ideal for real-time, scientific, financial, and engineering applications.

In this video, you’ll learn:

How to add FastLineRenderableSeries to a chart

How to create and populate XyDataSeries

How to add 100 series × 10,000 points each (1 million datapoints)

How SciChart.js maintains smooth performance even with massive datasets

Best practices for handling large-scale, real-time visualization in JS

SciChart.js is engineered for GPU-accelerated charts that can handle millions of points, making it perfect for high-performance dashboards and big-data applications.

🔗 Resources & Links

JavaScript Chart Tutorials:
https://www.scichart.com/javascript-c...

SciChart.js Getting Started Guide:
https://www.scichart.com/getting-star...

Source Code for This Tutorial:
https://github.com/abtsoftware/scicha...

JavaScript Examples & Demos:
https://demo.scichart.com/

Documentation:
https://www.scichart.com/read-documen...

GitHub Repository:
https://github.com/abtsoftware

Start a Free Trial:
https://www.scichart.com/getting-star...

License Pricing:
https://www.scichart.com/shop/

Case Studies:
https://www.scichart.com/case-studies/


👤 Connect with Us

Contact SciChart: https://www.scichart.com/contact-us/

Andrew Burnett-Thompson (Founder & CEO)

Twitter/X: https://x.com/DrAndrewBt

#SciChartJS #JavaScriptCharts #WebGLCharts #BigDataCharts #RealTimeCharts #HighPerformanceCharts #DataVisualization #EngineeringTools #ScientificVisualization


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