Weaving Data is an open educational resource that reimagines data visualisation through tangible, artistic, and embodied practices. Instead of visualising numbers on screens, this project guides learners to materialise datasets using yarn, a miniature 3D-printed loom, and the art of weaving.
Developed as part of a research-based creative practice, the guide helps learners explore how mood, sleep, sunlight, and movement data can be translated into physical patterns. The project introduces basic 3D modelling and printing techniques, followed by a unique method of using coloured threads to encode and interpret data in meaningful ways.
This resource is designed for absolute beginners, interdisciplinary learners, educators, and digital humanists. No prior experience in 3D design or data science is required—just curiosity and creativity.
Inspired by feminist data visualisation, textile art, and sensory storytelling, Weaving Data invites you to experience data not just intellectually, but also emotionally and physically.