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US Shoe Store Sales correlates with...
Variable | Correlation | Years | Has img? |
Restaurant spending in Hawaii | r=0.96 | 24yrs | No |
Popularity of the first name Nora | r=0.96 | 30yrs | No |
Popularity of the first name Charlotte | r=0.95 | 30yrs | No |
Christmas Price Index in the United States | r=0.95 | 30yrs | Yes! |
Popularity of the first name Mina | r=0.94 | 30yrs | No |
Wind power generated in Faroe Islands | r=0.94 | 29yrs | Yes! |
Biomass power generated in Romania | r=0.92 | 30yrs | Yes! |
Annual comic book sales in North America | r=0.91 | 19yrs | No |
Votes for the Libertarian Presidential candidate in Virginia | r=0.89 | 8yrs | No |
Jet fuel used in Lithuania | r=0.83 | 30yrs | No |
Google searches for 'funny cat videos' | r=0.8 | 18yrs | No |
UFO sightings in New Mexico | r=0.76 | 30yrs | No |
xkcd comics published about artificial intelligence | r=0.61 | 15yrs | Yes! |
The number of movies Michael B. Jordan appeared in | r=0.47 | 23yrs | No |
US Shoe Store Sales 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.)