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

1. Effect Diagram Display

The article begins with screenshots showing dynamic real‑time data updates and a right‑click theme switch feature for the dashboard.

2. Requirement Specification

2.1 Screen Resolution

The solution targets a 16:9 aspect ratio with full‑screen (F11) display.

2.2 Deployment Method

An executable without installation runs on Windows, Linux, or macOS; simply copy the program to a server without additional dependencies. The dashboard can be viewed directly on the server or accessed remotely via browsers such as Chrome or 360.

3. Overall Architecture Design

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

Backend implemented in Java Web, using IntelliJ IDEA.

Data exchange format: JSON.

Data source: initially JSON files; can be extended with MyBatis to support PostgreSQL, MySQL, Oracle, SQL Server, SQLite, or with POI for Excel, and custom HTTP API interfaces.

Data update: HTTP GET polling; alternatively, real‑time push from backend can be used.

4. Development Configuration & Code Structure

4.1 Java Development Environment

Images illustrate the required Java environment setup.

4.2 JSON Library Configuration

Add the Alibaba FastJSON dependency to <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.51</version> </dependency> in the pom.xml file.

4.3 Code Structure Explanation

a. Static Resources – illustrated with a screenshot.

b. Java Directory – illustrated with a screenshot.

c. Port Configuration – illustrated with a screenshot.

4.4 Startup Command

A screenshot shows the command used to launch the application.

4.5 Browser Access

Open the dashboard in a browser at http://localhost:<port> , where the port is defined in application.properties .

5. Source Code Acquisition

The article provides a QR code and instructions to add a WeChat contact, remark "source code", and obtain the project for free.