COVID-19 Data Analysis System

Project Overview

A comprehensive system for analyzing and visualizing COVID-19 data. The application processes both CSV and JSON data formats, providing interactive visualizations and statistical analysis of COVID-19 cases, deaths, and related metrics.

Features

• Data Import & Processing

  • CSV file processing for case/death data
  • JSON processing for detailed mortality statistics
  • Data validation and cleaning

• Data Analysis

  • Time series analysis
  • Growth rate calculations
  • Age distribution analysis
  • Mortality correlation studies

• Visualization

  • Interactive charts using Chart.js
  • Multiple visualization types:
    • Line charts for time series
    • Bar charts for distributions
    • Scatter plots for correlations
  • Responsive design

• Data Storage

  • PostgreSQL database integration
  • Efficient batch processing
  • Data integrity validation

Technology Stack

• Backend: Java Spring Boot
• Frontend: HTML5, CSS3, JavaScript
• Database: PostgreSQL
• Libraries:
  • Chart.js for visualization
  • Apache Commons CSV for data processing
  • JDBC for database operations

Project Structure

src/
├── main/
│   ├── java/
│   │   ├── controller/
│   │   │   └── CovidAnalysisController.java
│   │   ├── storage/
│   │   │   └── DataStorage.java
│   │   └── dataIngestion/
│   │       └── DataImporter.java
│   └── resources/
│       └── templates/
│           ├── analysis.html
│           ├── comprehensive-analysis.html
│           ├── csv-analysis.html
│           └── json-analysis.html

Installation & Setup

1. Clone the repository

   git clone https://github.com/yourusername/covid19-data-analysis.git

2. Configure PostgreSQL database

   CREATE DATABASE covid_analysis;

3. Update application.properties with your database credentials

4. Build the project

   mvn clean install

5. Run the application

   mvn spring-boot:run

Usage

1. Access the application at http://localhost:8080
2. Upload COVID-19 data files (CSV or JSON format)
3. View generated visualizations and analysis
4. Export or save results as needed

Object-Oriented Design

The project implements core OOP principles:

• Encapsulation: Data and methods are encapsulated within appropriate classes
• Inheritance: Utilizes Spring framework inheritance
• Polymorphism: Different chart types and data processing methods
• Abstraction: High-level interfaces for data operations