Additional Info: Measured in nominal dollars, including tax & tip. Includes all "food-away-from-home" sources.
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Restaurant spending in Ohio correlates with...
Variable | Correlation | Years | Has img? |
US milk fat used to produce cheese (excluding cottage cheese) | r=0.98 | 21yrs | No |
Annual Revenue of Walt Disney Company | r=0.98 | 24yrs | No |
Popularity of the first name Hudson | r=0.98 | 24yrs | No |
The number of truck drivers in Ohio | r=0.97 | 11yrs | No |
Average milk produced per cow in the US | r=0.97 | 24yrs | No |
Inflation in the US | r=0.97 | 24yrs | No |
Dollar Tree's stock price (DLTR) | r=0.95 | 19yrs | No |
The number of OSHA specialists in Ohio | r=0.95 | 17yrs | No |
Popularity of the 'drake' meme | r=0.95 | 15yrs | No |
Popularity of the first name Kelsey | r=-0.85 | 24yrs | No |
Restaurant spending in Ohio 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.)