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 Saturn and Venus correlates with...
Variable | Correlation | Years | Has img? |
Biomass power generated in India | r=0.96 | 23yrs | No |
Google searches for 'how to make baby' | r=0.93 | 20yrs | No |
U.S. direct investment abroad | r=0.93 | 22yrs | No |
Popularity of the first name Chanel | r=0.72 | 48yrs | No |
Air quality in Grand Rapids, Michigan | r=0.68 | 44yrs | No |
The distance between Saturn and Venus 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.)