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US Tree Nut Consumption per Person correlates with...
Variable | Correlation | Years | Has img? |
Solar power generated in Ghana | r=0.98 | 9yrs | No |
Votes for the Republican Presidential candidate in West Virginia | r=0.98 | 6yrs | Yes! |
Total comments on Mark Rober YouTube videos | r=0.97 | 11yrs | Yes! |
Nuclear power generation in Russia | r=0.96 | 22yrs | No |
Google searches for 'cold shower' | r=0.95 | 18yrs | No |
Votes for Republican Senators in Illinois | r=0.95 | 7yrs | No |
Automatic Data Processing's stock price (ADP) | r=0.93 | 20yrs | Yes! |
Solar power generated in United States | r=0.91 | 22yrs | No |
Total comments on SmarterEveryDay YouTube videos | r=0.9 | 15yrs | Yes! |
Boeing's stock price (BA) | r=0.88 | 20yrs | No |
Votes for the Democratic Presidential candidate in Texas | r=0.85 | 6yrs | No |
Air quality in Florence, South Carolina | r=0.84 | 22yrs | Yes! |
The number of vending machine repairers in Pennsylvania | r=-0.84 | 19yrs | No |
US Tree Nut Consumption per Person 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.)