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Customer satisfaction with Facebook correlates with...
Variable | Correlation | Years | Has img? |
The number of computer user support specialists in Minnesota | r=0.9 | 10yrs | No |
The number of office clerks in Nebraska | r=0.89 | 12yrs | No |
How clickbait-y Casually Explained YouTube video titles are | r=0.89 | 7yrs | No |
Snowy days in New York | r=0.83 | 12yrs | No |
Bachelor's degrees awarded in law enforcement | r=0.73 | 10yrs | No |
Popularity of the 'balloon boy' meme | r=0.7 | 12yrs | No |
The distance between Jupiter and Earth | r=0.67 | 12yrs | Yes! |
The distance between Jupiter and Venus | r=0.64 | 12yrs | No |
Number of goals scored by the winning team in the NCAA Soccer Div II Championship Final | r=0.63 | 12yrs | No |
The number of movies Amy Poehler appeared in | r=0.61 | 12yrs | No |
The distance between Mars and Venus | r=-0.59 | 12yrs | No |
Customer satisfaction with Facebook 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.)