ECharts provide streaming data ability since v4.0 and makes it possible to render as much data as loaded from WebSocket. Tens of millions of data usually takes over hundreds of MB in memory. What's more, interactions like scaling and transforming are fluent all the same. With the help of incremental rendering technique since v4.0 and optimization of all aspects, ECharts can display the visualization of tens of millions of data. Data Visualization of Tens of Millions on Web For big data visualization, it is suggested to use TypedArray to improve performance. Futhermore, it saves memory since different components can share on piece of data rather than copying.ĮCharts supports TypedArray, which occupies less memory than array and is more garbage-collection-friendly. This is a more intuitive way to think when developing a chart, and it saves much time writing data-converting steps for developers. The map from data to graphic can be easily set by the encode attribute. The built-in dataset attribute from ECharts v4.0 supports data formats including two-dimensional table, key-value object, and so on. If the default package size is too large for you, you can choose the chart types and components you need and download in the online builder. What makes it even better is that it can interact with the existing ECharts components and you don't have to worry about the interaction with them. To use it, you should only pass in a callback function named renderItem, and return any graphic elements you wish to draw to according to the data. And it's extremely easy to create a combinition of them with ECharts.īesides the built-in chart types, ECharts also provide the customed series for users to create a specific chart types. The basic chart types ECharts supports include line series, bar series, scatter series, pie charts, candle-stick series, boxplot series for statistics, map series, heatmap series, lines series for directional information, graph series for relationships, treemap series, sunburst series, parallel series for multi-dimensional data, funnel series, gauge series. ECharts depends on ZRender, a graphic rendering engine, to create intuitive, interactive, and highly-customizable charts. It is compatible with most modern Web Browsers, e.g., IE9/10/11, Chrome, Firefox, Safari and so on. Var data = new ECharts TM is an open-sourced JavaScript visualization tool, which can run fluently on PC and mobile devices. instantiates the pie chart, passes in the data and Callback that creates and populates a data table,
Set a callback to run when the Google Visualization API is loaded. Load the Visualization API and the piechart package.
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