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

Data visualization dashboards have become popular, and this guide shows how to build a striking, real‑time dashboard using Echarts for the front‑end and a Java Web backend.

1. Effect Demonstration

Shows dynamic real‑time data updates and theme switching via right‑click, illustrated with screenshots.

2. Requirement Specification

Defines screen resolution (16:9, full‑screen F11), deployment as a portable executable supporting Windows, Linux, macOS, and viewing options via direct server access or browser.

3. Overall Architecture

Front‑end built with the open‑source Echarts library, edited in WebStorm.

Back‑end implemented in Java Web, using IntelliJ IDEA.

Data exchanged in JSON format.

Data source initially a JSON file; can be extended with MyBatis for databases (PostgreSQL, MySQL, Oracle, SQL Server, SQLite) or POI for Excel, or custom HTTP API.

Data updates via HTTP GET polling, with optional real‑time push from the back‑end.

4. Development Configuration & Code Structure

Java Development Environment

Shows screenshots of the IDE setup.

JSON Library Configuration

Add the Alibaba FastJSON dependency to pom.xml:

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

Code Structure

Static resources, Java source directories, and port configuration are illustrated with diagrams.

Startup Command

Run the generated executable to start the service.

Browser Access

Open http://localhost:<port> in a browser to view the dashboard.

5. Source Code Acquisition

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