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GMO use in soybeans in North Dakota correlates with...
Variable | Correlation | Years | Has img? |
Global revenue from elevator and escalator sales | r=0.97 | 7yrs | No |
Portion of all US dairy skim-solids allocated to the production of sour cream | r=0.97 | 22yrs | No |
Biomass power generated in Taiwan | r=0.95 | 22yrs | No |
Geothermal power generated in Russia | r=0.95 | 22yrs | Yes! |
Popularity of the first name Rylee | r=0.95 | 23yrs | No |
Total viewership of the Aviva Premiership Rugby final | r=0.91 | 14yrs | No |
Hollister retail store count worldwide | r=0.9 | 23yrs | No |
Number of registered Yamaha motorcycles in the UK | r=0.88 | 22yrs | No |
The number of graphic designers in North Dakota | r=0.87 | 20yrs | No |
US production of yogurt, nonfrozen | r=0.83 | 22yrs | No |
GMO use in soybeans in North Dakota 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.)