Echarts for Angular Charts using ngx-echarts | Tutorial with Examples

Echarts In Angular project using the ngx-echarts we are going to discuss in this tutorial. The Echarts is javascript based library that provides a wide variety of highly customizable charting options for web applications. The ngx-echarts package module is exclusively customized for Angular projects which can be used to build echart library-based charts in a react application using an Angular framework.

The data information on a page can be converted into graphical interfaces to explore more information out of data with interactive units. Adding charts on a page to represent data adds a lot of value for great user experience and enhancing the overall eye-catching value on-page. Using the Echarts charting library we can create highly interactive, responsive, beautiful looking animation enriched charts on the web application.

Before we start let’s have a look at the library we are going to discuss.

About Echarts

Echarts is an open-source community-powered charting library, managed by a good number of contributors and backed by apache The Echarts library uses the HTML5 based canvas element to build highly interactive charts. These charts can be configured to a much extent, moreover, it enables to merge of different type of charts into a single representation very easily. We can build a wide variety of charts including Line, Bar, Pie, Scatter, Geographical/ Maps based, Radar, Heatmap, Gauge, 3D, Tree charts and much more

 

What is ngx-echarts?

The Echarts library is converted exclusively for Angular projects to be used in a modular-based architecture. In the Angular project, we need to install the ngx-echarts package module to use charts in the Angular application.

 

There are few Chart libraries that provide a number of production chart types and free at the same time. E-Charts provides an awesome option sets using which we can configure and create any type of graphical chart. These charts can fulfill any real-world graphical representation of data.

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