Dynamic Data Visualization System

This system dynamically generates various types of graphs from different data sets. For example, it can visualize:

• Bank Accounts: Nodes represent bank accounts, and edges represent transactions between these accounts.
• Social Networks: Nodes represent users, and edges represent relationships or interactions between them.
• Project Management: Nodes can be tasks or milestones, with edges showing dependencies or progress.

Key Features

• CRUD Operations: Create, Read, Update, and Delete roles, users, graphs, files, and categories.
• File Management: Add and remove files, and manage file access for specific users.
• Password Recovery: Recover passwords via email.
• Cloud Image Upload: Upload images using cloud services.
• High-Performance File Upload: Add files with 5000 records with 90000 value of edges in 8 seconds.
• Data Analysis: Analyze and visualize complex data sets.

Database Structure

The database is designed using an Entity-Attribute-Value (EAV) model. This structure allows flexible and scalable data storage. Here's a simplified view of the database schema:

Demo Video

Installation and Setup Steps

1. Install Docker

To run this project, you need to have Docker installed:

• Docker: Download and Install Docker

First, download and install Docker from the link below:

• Docker Installation Guide

2. Clone the Repository

Clone the project repository:

git clone https://github.com/YourUsername/Summer1403-Project-Group03.git
cd Summer1403-Project-Group03
docker-compose up -d

3. Start Service

docker-compose up -d