Digital Fashion Skills Dataset for PCA and Machine Learning Cluster Analysis

This dataset supports the article "Digital Fashion Skills Mapping Through PCA Clustering and Machine Learning: A Data-Driven Foundation for a Green TVET-Oriented Digital Competence Framework". The dataset contains raw and processed data used for Principal Component Analysis (PCA), Artificial Neural Network classification, K-Means clustering, and hierarchical clustering. The variables include Digital Design Skills, CAD Skills, Digital Sewing Skills, Digital Collaboration Skills, Digital Creativity, Fashion Technology Understanding, and VR Proficiency. The dataset is anonymized and intended for research, replication, and secondary analysis in digital fashion education, Green TVET, and data-driven competency modeling.