Module 10 · Project 6 · Due the date on Canvas · PCA & Dimension Reduction · adaptive competency DV18
Defend a dimension-reduction decision
Mission progress0%
Begin with the five-minute linear-algebra refresh.
Module 10 · Step 7 of 9 · Evidence gate12–15 min
Produce a concise evidence brief that another analyst could reproduce and challenge. Decorative biplots do not earn mastery; verified choices and bounded claims do.
Where do I get my data?
Use the campus dataset from the R lab — eight campuses with budget, study hours, practice accuracy, and absences. Run raw-scale and standardized PCA on it, then interpret loadings, scores, and explained variance.
Prefer your own dataset? You can use any built-in R dataset with 3+ quantitative variables (e.g. iris, mtcars) or add your own CSV under Your data in the R lab (files up to 500 MB stay in your browser). But you don't need to — the R lab dataset is ready to go.
PCA Evidence Studio loading…