Top variables that correlate with Kerosene used in Saint Lucia

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Data source: Energy Information Administration
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Kerosene used in Saint Lucia correlates with...

Variable	Correlation	Years	Sys. Score
Number of websites on the internet	r=0.93	28yrs	388
Number of internet users	r=0.9	24yrs	378
The number of restaurant cooks in Michigan	r=0.95	19yrs	358
Popularity of the first name Bronson	r=0.86	42yrs	356
The number of restaurant cooks in Virginia	r=0.94	19yrs	356
The number of physical therapists in Illinois	r=0.93	19yrs	354
Christmas Price Index in the United States	r=0.87	30yrs	346
Number of International Tourist Arrivals Worldwide	r=0.85	27yrs	340
Robberies in North Dakota	r=0.86	37yrs	340
Google searches for 'best schools'	r=0.89	18yrs	339
Google searches for 'movie theater showtimes'	r=0.88	18yrs	338
UK Service Retail Price Index	r=0.88	19yrs	336
Total Revenue of the NFL Teams	r=0.86	20yrs	335
Restaurant spending in Nevada	r=0.89	24yrs	325
The number of hosts and hostesses in restaurants in New York	r=0.92	19yrs	323
Restaurant spending in Delaware	r=0.87	24yrs	322
Food spending in Nevada	r=0.88	24yrs	320
The number of restaurant cooks in Connecticut	r=0.91	19yrs	312
How geeky SciShow Space YouTube video titles are	r=0.91	8yrs	302
The number of hosts and hostesses in restaurants in District of Columbia	r=0.91	19yrs	302
How good LockPickingLawyer YouTube video titles are	r=0.91	7yrs	300
How professional-sounding LockPickingLawyer YouTube video titles are	r=0.91	7yrs	300
The number of producers and directors in Kansas	r=0.91	19yrs	292
Restaurant spending in Florida	r=0.86	24yrs	290
The number of hosts and hostesses in restaurants in Louisiana	r=0.91	19yrs	282
Restaurant spending in Arkansas	r=0.85	24yrs	279
The number of social workers in Missouri	r=0.91	19yrs	272
Restaurant spending in Kentucky	r=0.85	24yrs	269
The number of restaurant cooks in New York	r=0.91	19yrs	262
Restaurant spending in Michigan	r=0.85	24yrs	259
The number of hotel desk clerks in Oklahoma	r=0.91	19yrs	252
Restaurant spending in North Dakota	r=0.85	24yrs	249
Patents granted in the US	r=0.78	41yrs	246
Popularity of the first name Ali	r=0.83	42yrs	246
Average milk produced per cow in the US	r=0.79	42yrs	244
Patents granted in the US	r=0.78	41yrs	244
Popularity of the first name Callie	r=0.82	42yrs	244
Global Apple iPhone Sales in Q3	r=0.9	12yrs	243
The number of massage therapists in Oregon	r=0.91	19yrs	242
Total number of live births in Australia	r=0.79	42yrs	242
Total budget of Marvel comic-based films released	r=0.82	34yrs	241
USA Population	r=0.78	42yrs	240
Restaurant spending in Tennessee	r=0.85	24yrs	239
Movie Releases in the US & Canada	r=0.75	42yrs	238
US Shoe Store Sales	r=0.85	30yrs	238
Super Bowl TV viewership	r=0.8	32yrs	238
Automotive recalls for issues with the Air Bags	r=0.83	32yrs	238
Budget for largest movie production	r=0.74	42yrs	237
US Annual Tax Revenue	r=0.76	42yrs	237
Number of Movies Released Annually	r=0.75	42yrs	236
Total number of automotive recalls	r=0.74	42yrs	236
Butter consumption	r=0.74	32yrs	232
Yogurt consumption	r=0.74	32yrs	232
The number of university foreign language and literature teachers in South Dakota	r=0.91	19yrs	232
Automotive recalls for issues with the Power Train	r=0.72	42yrs	231
The distance between Uranus and Mercury	r=0.71	42yrs	231
GMO use in corn	r=0.81	22yrs	230
Automotive recalls issued by Honda	r=0.68	42yrs	230
Annual US household spending on education	r=0.85	21yrs	230
Average temperature in Sydney	r=0.7	42yrs	230
Air quality in Boston	r=0.8	42yrs	229
Air quality in Manchester, New Hampshire	r=0.82	42yrs	229
Automotive recalls for issues with the Electrical System	r=0.7	42yrs	228
The distance between Uranus and Earth	r=0.69	42yrs	228
The distance between Uranus and the moon	r=0.69	42yrs	228
Air quality in Houston	r=0.79	42yrs	228
Food spending in Arizona	r=0.86	24yrs	228
The number of salespeople in South Dakota	r=0.91	19yrs	222
Popularity of the first name Colton	r=0.81	42yrs	213
The number of office clerks in Texas	r=0.91	19yrs	212
Popularity of the first name Harrison	r=0.81	42yrs	203
Blue cheese consumption	r=0.78	27yrs	202
The number of postsecondary art, drama, and music teachers in Utah	r=0.91	19yrs	202
Global Box Office Revenue of UK Films	r=0.83	20yrs	200
Popularity of the first name Vivian	r=0.81	42yrs	193
Muenster cheese consumption	r=0.78	27yrs	192
The number of lifeguards and ski patrol in Texas	r=0.92	18yrs	192
The number of movies Tom Hanks appeared in	r=0.65	42yrs	188
Global count of operating nuclear power plants	r=0.75	42yrs	186
Popularity of the first name Desmond	r=0.81	42yrs	183
The number of flight attendants in Florida	r=0.92	17yrs	181
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=0.71	42yrs	181
Popularity of the first name Reid	r=0.81	42yrs	173
The number of dishwashers in California	r=0.9	19yrs	170
Number of Lawyers in the United States	r=0.74	33yrs	167
Popularity of the first name Kali	r=0.8	42yrs	162
Total Sales at Clothing and Accessories Stores	r=0.78	30yrs	161
The number of retail salespersons in Nevada	r=0.9	19yrs	160
Annual count of part-time employees in the United States	r=0.78	32yrs	155
Popularity of the first name Tucker	r=0.8	42yrs	152
Intel Corporation's annual revenue	r=0.73	35yrs	146
Popularity of the first name Reed	r=0.8	42yrs	142
Popularity of the first name Raphael	r=0.8	42yrs	132
Popularity of the first name Quinn	r=0.79	42yrs	120
Popularity of the first name Elise	r=0.79	42yrs	110
Popularity of the first name Clara	r=0.79	42yrs	100
Popularity of the first name Noelle	r=0.79	42yrs	90
Popularity of the first name Braxton	r=0.79	42yrs	80
Popularity of the first name Gunnar	r=0.79	42yrs	70
Popularity of the first name Cecelia	r=0.79	42yrs	60
Popularity of the first name Alessandra	r=0.79	42yrs	50

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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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