JavaScript Large Scatter Chart

This demo application belongs to the set of examples for LightningChart JS, data visualization library for JavaScript.

LightningChart JS is entirely GPU accelerated and performance optimized charting library for presenting massive amounts of data. It offers an easy way of creating sophisticated and interactive charts and adding them to your website or web application.

The demo can be used as an example or a seed project. Local execution requires the following steps:

• Make sure that relevant version of Node.js is installed

• Open the project folder in a terminal:

    npm install              # fetches dependencies
    npm start                # builds an application and starts the development server
  

• The application is available at http://localhost:8080 in your browser, webpack-dev-server provides hot reload functionality.

Description

This example showcases visualization of a Scatter chart with relatively large data set (1 million data points).

LightningChart JS has created a revolution with the possibilities of data visualization in web - previously Scatter chart visualization was realistically possible only to ranges of some hundred thousand data points and even then it required complicated developer effort to enable any zooming or panning interactions with satisfactory performance.

With LC JS a million points Scatter chart is loaded in less than a second and the result is unlike anything seen before - operations like zooming and panning are instantaneous.

Additionally, when compared to previous alternatives, the usage is ridiculously simple. With SVG/Canvas based drawing, users would have severe limitations with large data amounts as these technologies don't scale well.

Here's how simple the creation of a million points scatter chart is with LC JS:

const chart = lightningChart().ChartXY()
const series = chart.addPointSeries().add(
    new Array(1000000).fill().map((_) => ({
        x: Math.random(),
        y: Math.random(),
    })),
)

This takes about 100 milliseconds to load and will immediately be interactable with lightning fast reactions!

The maximum possible Scatter chart size scales well with used hardware, especially RAM (memory) and GPU (graphics card) - On average office PC, LC JS can handle more than hundred million data points.

Custom cursors

This example also showcases a custom HTML based data cursor. The reason for this is that rendering a large scatter chart is extremely heavy. For performance reasons it is best to separate the data cursor rendering from the chart. This is very easy to do using the setCustomCursor API.

Additionally by selecting show-pointed cursor mode, you can get lightning fast auto cursor functionality no matter how massive your scatter data set is!

API Links

• Lightning chart
• Color factory CSS
• 2D Point shape options
• Solid line style
• Solid fill style
• Chart XY
• Point Series 2D
• Polygon Series 2D

Support

If you notice an error in the example code, please open an issue on GitHub repository of the entire example.

Official API documentation can be found on LightningChart website.

If the docs and other materials do not solve your problem as well as implementation help is needed, ask on StackOverflow (tagged lightningchart).

If you think you found a bug in the LightningChart JavaScript library, please contact sales@lightningchart.com.

Direct developer email support can be purchased through a Support Plan or by contacting sales@lightningchart.com.

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