Data Geometry
This topic is about how data forms hidden shapes.
Explore the main idea
Placeholder text: this section will explain how the main tool works, what the user can change, and what they should notice as the visual responds.
Placeholder text: this section will connect the tool back to the wider topic, showing how the same mathematical idea appears in related projects and real situations.
About this topic
Data geometry asks what shape data has when there are too many dimensions to draw directly.
This strand should help students see that data is not just rows in a table: it has geometry, shape and structure.
Explore this through clustering, distance and similarity, projection and dimensionality reduction, principal component analysis and variation.
Further exploration
Look up: principal component analysis
Explore next: clustering and distance metrics
Try searching for: nearest-neighbour classification