Overview

Round 2 asked participants to turn a survey about Canada’s present and future into an engaging data story. I explored the relationships between open-ended answers in a space users could rotate, zoom, and inspect.

Process

I generated OpenAI text embeddings, reduced them to three dimensions with t-SNE, and selected K-Means cluster counts using silhouette scores. Identical responses were aggregated; cube-root marker sizing made marker volume reflect frequency. Plotly supplies interactive maps and hover text.

Reflection

This extended my earlier student-survey maps. Iterating on clustering, sizing, and presentation made the responses easier to explore, while the geometry remains an exploratory representation of the data.

Interactive 3D semantic map of responses about Canadian identity.