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

Data visualization dashboards have become a hot trend, prompting many enterprises to seek flashy, high‑impact cockpit displays.

The article showcases effect images, including a dynamic real‑time data update view and a right‑click theme‑switching feature.

Requirement planning specifies a 16:9 screen resolution with full‑screen (F11) display, and a deployment method based on a portable executable that runs on Windows, Linux, and macOS without additional dependencies; the program can be viewed directly on the server or accessed remotely via browsers such as Chrome or 360.

The overall architecture consists of a front‑end built with the open‑source Echarts library (developed in WebStorm), a back‑end implemented in Java Web (IDEA), JSON as the data exchange format, and data sources initially using JSON files with optional Mybatis support for PostgreSQL, MySQL, Oracle, SQL Server, SQLite, POI for Excel, or custom HTTP APIs; data updates are performed via HTTP GET polling, with the option of real‑time push from the back‑end.

Development configuration includes setting up a Java environment and adding the Alibaba FastJSON dependency:

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

The project structure is illustrated with static paths, Java directory layout, and port configuration, followed by the start command and instructions to view the dashboard in a browser at http://localhost:<port>.

Source code can be obtained by scanning the provided QR code or adding the author’s WeChat (with a note that the source is free), and the article also includes a brief advertisement for a JetBrains license.