This repository presents a data science project using large-scale data on heavy metal bands.
It serves as a technical showcase demonstrating analytical and modeling techniques applied to heterogeneous real-world data.
The project explores structured and semi-structured band data to demonstrate a range of data science methodologies, including:
- Exploratory data analysis (EDA)
- Data cleaning and feature engineering
- Network analysis
- Clustering and modeling techniques
- Data visualization
The analyses are based on band metadata sourced from Encyclopaedia Metallum (Metal Archives).
The data were extracted for research and educational purposes.
The original dataset is not redistributed. Only derived or aggregated data may be included in this repository.