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US household spending on books correlates with...
Variable | Correlation | Years | Has img? |
Popularity of the first name Zachary | r=0.98 | 23yrs | No |
Popularity of the first name Scott | r=0.98 | 23yrs | No |
Popularity of the first name Nicole | r=0.98 | 23yrs | No |
Popularity of the first name Austin | r=0.98 | 23yrs | No |
Popularity of the first name Jakob | r=0.97 | 23yrs | No |
Popularity of the first name Stephanie | r=0.97 | 23yrs | No |
Popularity of the first name Sarah | r=0.97 | 23yrs | No |
Popularity of the first name Julie | r=0.96 | 23yrs | No |
Popularity of the first name Katarina | r=0.96 | 23yrs | No |
Ice cream consumption | r=0.91 | 22yrs | No |
Air pollution in New Haven, Connecticut | r=0.9 | 23yrs | Yes! |
The number of librarians in Montana | r=0.9 | 16yrs | No |
The number of brickmasons in Mississippi | r=0.9 | 20yrs | No |
Air pollution in Fresno, California | r=0.9 | 23yrs | Yes! |
Carjackings in the US | r=0.89 | 22yrs | No |
Violent crime rates | r=0.88 | 23yrs | No |
Popularity of the first name Jailene | r=0.87 | 23yrs | No |
Motor vehicle thefts in Maryland | r=0.87 | 23yrs | No |
Google searches for 'why isnt 11 pronounced onety one' | r=0.68 | 19yrs | No |
US household spending on books 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.)