Correlation lab
Pick any two metrics, optionally lag one by N years, and see the Pearson correlation for every country in the dataset. Higher magnitude = stronger linear relationship. Positive = same direction, negative = opposite.
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Cross-country scatter
One point per country. X = mean of GDP Growth, Y = mean of unemployment.
Top-10 country correlations (|r|)
| Country | Pearson r | Sample |
|---|---|---|
| Not enough overlapping data for these metrics. | ||
Reminder: correlation ≠ causation. A high r just tells you two series moved together — not that one drove the other.