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The divorce rate in Maryland correlates with...
Variable | Correlation | Years | Has img? |
Popularity of the first name William | r=0.91 | 23yrs | No |
Popularity of the first name Christiana | r=0.91 | 23yrs | No |
Cottage cheese consumption | r=0.87 | 23yrs | No |
The number of shampooers in Maryland | r=0.86 | 19yrs | No |
Air pollution in Salisbury, Maryland | r=0.8 | 23yrs | Yes! |
The number of farm equipment mechanics in Maryland | r=0.71 | 12yrs | No |
Runs scored by the Baltimore Orioles | r=0.66 | 23yrs | No |
Number of goals scored by the winning team in the NCAA Soccer Div II Championship Final | r=0.49 | 23yrs | No |
The divorce rate in Maryland 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.)