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Robberies in New York correlates with...
Variable | Correlation | Years | Has img? |
Popularity of the first name Tanisha | r=0.99 | 38yrs | Yes! |
Popularity of the first name Corey | r=0.99 | 38yrs | Yes! |
US average milk-fat content of frozen dairy products | r=0.97 | 22yrs | No |
Popularity of the first name Steven | r=0.97 | 38yrs | No |
Popularity of the first name Kirby | r=0.97 | 38yrs | No |
Cigarette Smoking Rate for US adults | r=0.97 | 21yrs | No |
Popularity of the first name Brittany | r=0.97 | 38yrs | No |
Popularity of the first name Beverly | r=0.95 | 38yrs | No |
The number of telemarketers in New York | r=0.95 | 20yrs | No |
Kerosene used in Pakistan | r=0.95 | 37yrs | No |
Jet fuel used in Ukraine | r=0.94 | 30yrs | No |
Popularity of the first name Dominique | r=0.94 | 38yrs | No |
The number of sewing machine operators in New York | r=0.93 | 20yrs | No |
Popularity of the first name Wayne | r=0.92 | 38yrs | No |
Petroluem consumption in Azerbaijan | r=0.91 | 30yrs | No |
Popularity of the first name Staci | r=0.91 | 38yrs | No |
Popularity of the first name George | r=0.86 | 38yrs | No |
Air pollution in New York City | r=0.76 | 38yrs | No |
The divorce rate in New York | r=0.75 | 23yrs | No |
Robberies in New York 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.)