📊 NTA Data Analysis

Public transport data analysis pipeline with interactive dashboard — DCU Final Year Project (2026)

About

A data engineering project that analyses National Transport Authority (NTA) datasets to uncover insights into Irish public transport patterns. Features a full ETL pipeline, machine learning analytics, and a React-based dashboard for visualisation.

Project Structure

├── code/
│   ├── src/
│   │   ├── ingestion/     # Data ingestion & ETL pipeline
│   │   ├── analytics/     # Data analysis modules
│   │   ├── api/           # Backend API
│   │   ├── ml/            # Machine learning models
│   │   └── common/        # Shared utilities
│   ├── dashboard/         # React frontend dashboard
│   ├── tests/             # Test suite
│   ├── docker-compose.yml # Container orchestration
│   ├── Makefile           # Build automation
│   └── requirements.txt   # Python dependencies
├── Proposal/              # Project proposal document
├── functional_spec/       # Functional specification
├── technical_spec/        # Technical specification
├── user_manual/           # User manual
├── blog/                  # Development blog
└── Project design/        # Design documents

Tech Stack

• Backend: Python, FastAPI
• Frontend: TypeScript, React
• Data: Pandas, NumPy
• ML: Scikit-learn
• Infrastructure: Docker, Docker Compose
• Database: PostgreSQL
• Testing: Pytest

Getting Started

cd code
cp .env.example .env          # Configure environment
docker-compose up -d           # Start services
pip install -r requirements.txt
python src/run_pipeline.py     # Run the data pipeline

Documentation

Document	Description
Proposal	Initial project proposal
Functional Spec	Functional specification
Technical Spec	Technical specification & architecture
User Manual	End-user guide
Blog	Development blog & progress updates

Author

Kevin — Computer Science, Dublin City University

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DCU CSC1049 — Final Year Project 2026