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 Jupiter and Mercury correlates with...
| Variable | Correlation | Years | Has img? |
| The number of preschool special education teachers in Texas | r=0.97 | 11yrs | No |
| Bachelor's degrees awarded in consumer sciences | r=0.96 | 10yrs | No |
| The number of secretaries in Tennessee | r=0.96 | 13yrs | No |
| The number of secretaries in Alaska | r=0.96 | 13yrs | No |
| Average length of LockPickingLawyer YouTube videos | r=0.95 | 9yrs | No |
| How good LockPickingLawyer YouTube video titles are | r=0.95 | 9yrs | No |
| How insightful LockPickingLawyer YouTube video titles are | r=0.95 | 9yrs | No |
| The number of computer network support specialists in Maine | r=0.94 | 11yrs | No |
| The number of market research analysts in Vermont | r=0.94 | 11yrs | No |
| Anheuser-Busch InBev's stock price (BUD) | r=0.92 | 14yrs | Yes! |
| Total comments on Computerphile YouTube videos | r=0.91 | 11yrs | No |
| Master's degrees awarded in Visual and performing arts | r=0.87 | 10yrs | No |
| Global Apple iPhone Sales in Q3 | r=0.81 | 12yrs | No |
The distance between Jupiter and Mercury 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.)