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 Mercury and the Sun correlates with...
Variable | Correlation | Years | Has img? |
The number of truck drivers in Kentucky | r=0.91 | 13yrs | No |
Average length of OverSimplified YouTube videos | r=0.91 | 7yrs | No |
The number of welders in Pennsylvania | r=0.84 | 20yrs | No |
Patents granted to Honda | r=0.7 | 12yrs | No |
The number of biological technicians in Kentucky | r=0.64 | 19yrs | Yes! |
The distance between Mercury and the Sun 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.)