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Robberies in North Dakota correlates with...
Variable | Correlation | Years | Has img? |
Popularity of the first name Graham | r=0.97 | 38yrs | No |
Popularity of the first name Violet | r=0.97 | 38yrs | No |
Popularity of the first name Charlotte | r=0.96 | 38yrs | No |
Popularity of the first name Henry | r=0.96 | 38yrs | No |
Popularity of the first name Nora | r=0.95 | 38yrs | No |
Popularity of the first name Liam | r=0.95 | 38yrs | No |
Popularity of the first name Alice | r=0.95 | 38yrs | No |
Popularity of the first name Cora | r=0.95 | 38yrs | No |
Butter consumption | r=0.92 | 32yrs | Yes! |
Patents granted in the US | r=0.92 | 36yrs | Yes! |
Number of firearms manufactured in the US | r=0.92 | 36yrs | No |
Google searches for 'funny cat videos' | r=0.8 | 19yrs | No |
UEFA European Cup and Champions League Top Scorer's Goal Count | r=0.76 | 38yrs | No |
Robberies in North Dakota 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.)