Any two series in the database
Metric explorer
Pick any two of the 400 longest series, from any of the 18 sources, and GLOVIZ pairs them on time and plots one against the other. Correlation is computed server-side over the matched points; Orbit's Correlations tool opens on the time chart so you can see the same question two ways. Correlation is not causation, and the point of this page is how easy it is to find a convincing coincidence.
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Try:Day-ahead power price DK1 × Day-ahead power price DK2 (rΔ=0.969)Day-ahead power price DE × Day-ahead power price DK2 (rΔ=0.946)Temperature Bogota × Humidity Bogota (rΔ=-0.933)Temperature Mexico City × Humidity Mexico City (rΔ=-0.93)Earthquakes per day (M4.5+ × Earthquakes per day (M4.0+ (rΔ=0.923)Day-ahead power price DE × Day-ahead power price DK1 (rΔ=0.9)Earthquakes per day (M4.0+ × Earthquakes per day, Asia (rΔ=0.888)VIX volatility index × S&P 500 index (rΔ=-0.871)
Strong negative · r = -0.971,632 matched observations
Temperature Mexico City and Humidity Mexico CityOpen-Meteo against Open-Meteo · two axes, one time line
Sources: Open-Meteo, Open-Meteo
One against the other1632 points, matched on the nearest shared timestamp
Sources: Open-Meteo, Open-Meteo
Looking for something curated instead? Try the stories.