Book lab 04

Data Is Geometry

Understanding datasets through structure and distance

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Chapter assignment

Run a PCA or UMAP-style analysis on a dataset and explain what the projection reveals, what it hides, and which clusters require additional investigation.

What to do now

  1. Choose two projections or distance assumptions.
  2. Identify at least one suspicious cluster or outlier.
  3. Write a short interpretation without overstating the chart.

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Next in Adaptly

Use the mentor view to check whether your interpretation is defensible.