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Votes for Democratic Senators in Florida correlates with...
| Variable | Correlation | Years | Has img? |
| The number of movies Daniel Day-Lewis appeared in | r=0.94 | 6yrs | No |
| Annual US household spending on new cars | r=0.88 | 7yrs | Yes! |
| The number of jewelers in Florida | r=0.84 | 6yrs | Yes! |
| The number of RV service technicians in Florida | r=0.84 | 6yrs | No |
| The number of ticket agents in Florida | r=0.79 | 6yrs | No |
| Google searches for 'Tom Cruise' | r=0.79 | 6yrs | No |
| Average household spend on Christmas Gifts | r=0.76 | 7yrs | No |
| Annual US household spending on clothin for women | r=0.64 | 7yrs | No |
| The number of materials engineers in Florida | r=0.64 | 6yrs | No |
| Air pollution in Gainesville, Florida | r=0.62 | 8yrs | No |
| The number of tax preparers in Florida | r=0.6 | 6yrs | No |
| Customer satisfaction with The U.S. Postal Service | r=0.48 | 9yrs | No |
Votes for Democratic Senators in Florida 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.)
