Technical Guide to Building a Real-Time Data Visualization Dashboard with Echarts and Java Backend

Data visualization dashboards have become popular, and many enterprises seek to create impressive, real‑time monitoring screens.

Effect Demonstrations : The article showcases dynamic real‑time data updates and theme switching via screenshots.

Requirement Specification : It defines screen resolution (16:9, full‑screen F11), deployment method using a portable executable supporting Windows, Linux, and macOS, and viewing options via local server or remote browsers.

Overall Architecture Design :

Front‑end built with the open‑source Echarts library using WebStorm.

Back‑end implemented in Java Web using IntelliJ IDEA.

Data exchange format: JSON.

Data sources: JSON files by default, with optional MyBatis support for PostgreSQL, MySQL, Oracle, SQL Server, SQLite, and POI for Excel, or custom HTTP API.

Data update method: HTTP GET polling, with optional real‑time push from the back‑end.

Development Configuration & Code Structure :

1. Java Development Environment : Install JDK and IDE, then generate the project package.

2. JSON Library Configuration : Add Alibaba FastJSON dependency to

<dependency>
   <groupId>com.alibaba</groupId>
   <artifactId>fastjson</artifactId>
   <version>1.2.51</version>
</dependency>

in pom.xml.

3. Code Structure :

Static resources path.

Java source directories.

Port configuration (defined in application.properties).

4. Startup Command : Run the generated executable to start the server.

5. Browser Access : Open http://localhost:<port> in a browser (Chrome, 360, etc.) to view the dashboard.

Source Code Acquisition : The source code can be obtained for free by scanning a QR code and adding a WeChat contact, with a note to mention “source code”.