Additional Info: I wrote a Python script using Astropy to calculate the distance between the named planets on the first day of each month for every year.
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The distance between Uranus and Jupiter correlates with...
| Variable | Correlation | Years | Has img? |
| The number of credit counselors in Massachusetts | r=0.95 | 13yrs | No |
| Average number of comments on The Game Theorists YouTube videos | r=0.92 | 15yrs | No |
| Solar power generated in Romania | r=0.91 | 13yrs | No |
| Solar power generated in Angola | r=0.9 | 12yrs | No |
| The number of MRI technicians in Connecticut | r=0.88 | 11yrs | No |
| Google searches for 'unicorns' | r=0.87 | 20yrs | No |
| Number of Samsung Electronics Employees Worldwide | r=0.85 | 14yrs | No |
| Viewership of "The Big Bang Theory" | r=0.74 | 12yrs | No |
| Votes for Republican Senators in Missouri | r=0.69 | 16yrs | No |
| Hydopower energy generated in United States | r=-0.51 | 42yrs | No |
| Vale S.A.'s stock price (VALE) | r=-0.76 | 21yrs | No |
| The number of hotel managers in District of Columbia | r=-0.82 | 20yrs | No |
The distance between Uranus and Jupiter 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.)