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The divorce rate in West Virginia correlates with...
Variable | Correlation | Years | Has img? |
US production of fluid beverage milk | r=0.98 | 22yrs | No |
Bachelor's degrees awarded in literature | r=0.98 | 10yrs | No |
Popularity of the first name Molly | r=0.97 | 23yrs | No |
Popularity of the first name Alyson | r=0.97 | 23yrs | No |
Popularity of the first name Gage | r=0.97 | 23yrs | No |
Popularity of the first name Tristen | r=0.96 | 23yrs | No |
Cigarette Smoking Rate for US adults | r=0.96 | 21yrs | No |
The number of postmasters in West Virginia | r=0.96 | 19yrs | No |
Popularity of the first name Makayla | r=0.95 | 23yrs | No |
Milk consumption | r=0.94 | 23yrs | No |
Popularity of the first name Kylee | r=0.91 | 23yrs | No |
Popularity of the first name Chris | r=0.8 | 23yrs | No |
Robberies in West Virginia | r=0.8 | 23yrs | No |
The number of movies Steve Buscemi appeared in | r=0.45 | 23yrs | No |
The divorce rate in West Virginia 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.)