Top variables that correlate with Jet fuel used in Aruba

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Data source: Energy Information Administration
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Jet fuel used in Aruba correlates with...

Variable	Correlation	Years	Sys. Score
The number of biolmedical engineers in Ohio	r=0.97	16yrs	388
Annual US household spending on education	r=0.93	21yrs	376
Restaurant spending in Delaware	r=0.92	24yrs	360
Food spending in Delaware	r=0.93	24yrs	358
Food spending in New Jersey	r=0.93	24yrs	358
The number of restaurant cooks in Nevada	r=0.93	19yrs	354
The number of restaurant cooks in Michigan	r=0.92	19yrs	353
Total Revenue of the NFL Teams	r=0.89	20yrs	340
Portion of all US dairy skim-solids allocated to the production of cheese (other than cottage cheese)	r=0.89	22yrs	340
GMO use in cotton	r=0.85	22yrs	338
UK Service Retail Price Index	r=0.89	19yrs	337
Votes for the Republican Presidential candidate in Tennessee	r=0.97	7yrs	332
Votes for the Republican Presidential candidate in Arkansas	r=0.96	7yrs	330
Votes for the Republican Presidential candidate in Louisiana	r=0.96	7yrs	330
Restaurant spending in Alabama	r=0.9	24yrs	326
GMO use in cotton in Georgia	r=0.88	22yrs	323
The number of restaurant cooks in Connecticut	r=0.91	19yrs	322
GMO use in cotton in Louisiana	r=0.86	22yrs	320
Air quality in Bucyrus, Ohio	r=0.86	20yrs	318
Restaurant spending in Massachusetts	r=0.9	24yrs	316
The number of etchers and engravers in Texas	r=0.91	19yrs	312
Restaurant spending in Ohio	r=0.9	24yrs	306
The number of geography teachers in Virginia	r=0.91	19yrs	302
Global revenue of Samsonite	r=0.86	15yrs	300
Food spending in Arkansas	r=0.91	24yrs	295
The number of flight attendants in Florida	r=0.92	17yrs	291
GMO use in cotton in North Carolina	r=0.85	22yrs	288
Food spending in Florida	r=0.91	24yrs	285
The number of waiters and waitresses in Georgia	r=0.9	19yrs	280
Food spending in Mississippi	r=0.91	24yrs	275
The number of registered nurses in Pennsylvania	r=0.91	18yrs	270
Food spending in Oregon	r=0.91	24yrs	265
The number of biolmedical engineers in Maryland	r=0.91	16yrs	258
Food spending in Idaho	r=0.9	24yrs	254
Grocery store spend in Florida	r=0.9	24yrs	244
Number of Lawyers in the United States	r=0.79	31yrs	238
US kids in public school	r=0.82	31yrs	238
Number of public school students in 12th grade	r=0.82	31yrs	238
Popularity of the first name Olivia	r=0.85	31yrs	238
Number of highschoolers in the US	r=0.81	31yrs	236
Popularity of the first name Skyla	r=0.84	31yrs	236
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=0.79	31yrs	236
Yogurt consumption	r=0.78	31yrs	236
Average milk produced per cow in the US	r=0.8	31yrs	235
Popularity of the first name Julian	r=0.83	31yrs	235
Number of Registered Vehicles in the US	r=0.81	31yrs	234
USA Population	r=0.8	31yrs	232
Total Sales at Clothing and Accessories Stores	r=0.78	30yrs	231
U.S. direct investment abroad	r=0.83	22yrs	229
Number of households headed by single fathers in the United States	r=0.77	31yrs	229
Total number of automotive recalls	r=0.77	31yrs	229
The distance between Uranus and Saturn	r=0.77	31yrs	229
Annual US household spending on food	r=0.84	22yrs	229
Annual US household spending on telephone services	r=0.84	22yrs	229
Adidas Group's Global Net Sales	r=0.85	22yrs	228
The number of producers and directors in Louisiana	r=0.9	19yrs	220
The number of hotel desk clerks in Pennsylvania	r=0.9	19yrs	210
Number of public school students in 11th grade	r=0.81	31yrs	206
Restaurant spending in Arkansas	r=0.9	24yrs	206
Popularity of the first name Madelyn	r=0.83	31yrs	205
Milk-fat consumption	r=0.76	31yrs	204
The number of bartenders in Texas	r=0.89	19yrs	200
Restaurant spending in Louisiana	r=0.9	24yrs	196
GMO use in corn	r=0.85	22yrs	196
Number of public school students in 10th grade	r=0.8	31yrs	195
Popularity of the first name Simon	r=0.83	31yrs	195
US Bottled Water Consumption per Person	r=0.82	23yrs	193
The number of restaurant cooks in Wisconsin	r=0.9	19yrs	190
US production of whey products (net)	r=0.83	22yrs	188
Restaurant spending in North Dakota	r=0.9	24yrs	186
Popularity of the first name Reagan	r=0.83	31yrs	185
GMO use in corn	r=0.83	22yrs	184
Number of public school students in 5th grade	r=0.77	31yrs	180
The number of waiters and waitresses in Mississippi	r=0.89	19yrs	178
Restaurant spending in South Carolina	r=0.9	24yrs	176
Popularity of the first name Miracle	r=0.83	31yrs	175
GMO use in cotton	r=0.85	22yrs	174
Number of public school students in 7th grade	r=0.77	31yrs	170
The number of mechanical engineers in Oklahoma	r=0.89	19yrs	168
Popularity of the first name Mohamed	r=0.83	31yrs	165
Restaurant spending in Alaska	r=0.89	24yrs	165
Number of public school students in 8th grade	r=0.77	31yrs	160
The number of restaurant cooks in Oregon	r=0.89	19yrs	158
Popularity of the first name Mariam	r=0.83	31yrs	155
Restaurant spending in Florida	r=0.89	24yrs	155
The number of restaurant cooks in Pennsylvania	r=0.89	19yrs	148
Popularity of the first name Eve	r=0.83	31yrs	145
Restaurant spending in Georgia	r=0.89	24yrs	145
The number of restaurant cooks in Virginia	r=0.89	19yrs	138
Restaurant spending in Kansas	r=0.89	24yrs	135
Popularity of the first name Elijah	r=0.82	31yrs	134
The number of food service managers in California	r=0.88	19yrs	127
Popularity of the first name Lydia	r=0.82	31yrs	124
Popularity of the first name Owen	r=0.82	31yrs	114
Popularity of the first name Talia	r=0.82	31yrs	104
Popularity of the first name Rylee	r=0.82	31yrs	94
Popularity of the first name Alayna	r=0.82	31yrs	84
Popularity of the first name Maximilian	r=0.82	31yrs	74
Popularity of the first name Greta	r=0.82	31yrs	64
Popularity of the first name Raina	r=0.82	31yrs	54
Popularity of the first name Madelynn	r=0.82	31yrs	44

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^{What is Sys. Score?} 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.)


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