Discovery

Find patterns the framework didn't hypothesize.

The matrix shows Spearman rank correlation (ρ) between all numeric and ordinal variables — more appropriate than Pearson for ordinal 1–5 scales. ρ ranges from −1 to +1: near +1 = move together, −1 = move opposite, 0 = no relationship. Bold values are statistically significant (p < 0.05). Gray values may be noise. Three categorical dimensions (Hours, Tools, ND Impact) are ordinal-encoded so they can participate in correlation analysis.

Correlation Matrix

Top Correlations

The 10 strongest pairwise relationships, ranked by |ρ|. Significant correlations (p < 0.05) are solid; non-significant are faded — they may be noise given the sample size. Shows which problems cluster together.

Notable Findings

Every significant correlation with |ρ| ≥ 0.4 — each backed by a distribution heatmap and qualitative evidence from respondents living at the extremes. These relationships emerged from the data, not from prior hypotheses.

Categorical Breakdowns

How do key metrics differ across categorical segments? Pick a grouping dimension and a metric to explore. Box plots show median (line), IQR (box), and range (whiskers) — revealing distributional differences that medians alone miss.