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Total NBA League Revenue correlates with...
Variable | Correlation | Years | Has img? |
The number of sonographers in Oregon | r=0.98 | 20yrs | No |
Wind power generated in Germany | r=0.97 | 20yrs | Yes! |
Electricity generation in Rwanda | r=0.97 | 20yrs | No |
Fossil fuel use in Eritrea | r=0.96 | 20yrs | Yes! |
General Dynamics' stock price (GD) | r=0.95 | 21yrs | No |
American cheese consumption | r=0.94 | 20yrs | No |
Fossil fuel use in Belize | r=0.93 | 20yrs | No |
Google searches for '3Blue1Brown' | r=0.92 | 16yrs | No |
Automotive recalls issued by Volkswagen Group of America | r=0.92 | 21yrs | Yes! |
Annual US household spending on shoes | r=0.75 | 21yrs | No |
Total NBA League Revenue also correlates with...
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You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.
I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)