Top variables that correlate with Air pollution in Huntington, Indiana

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Data source: Environmental Protection Agency
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Air pollution in Huntington, Indiana correlates with...

Variable	Correlation	Years	Sys. Score
Jet fuel used in Bermuda	r=0.87	14yrs	299
Biomass power generated in Slovakia	r=0.87	11yrs	279
Petroluem consumption in Suriname	r=0.83	14yrs	168
Automotive recalls issued by Mack Trucks	r=0.65	14yrs	152
Asthma attacks in American children	r=0.74	7yrs	148
Number of internet users	r=0.7	11yrs	135
Asthma attacks in American children	r=0.64	7yrs	134
Number of websites on the internet	r=0.65	13yrs	131
The number of movies Karl Urban appeared in	r=0.75	12yrs	128
Total Sales at Clothing and Accessories Stores	r=0.63	12yrs	126
The number of movies Al Pacino appeared in	r=0.72	14yrs	126
Score differential in Anglo-Welsh Cup final	r=0.62	14yrs	123
Automotive recalls issued by Hyundai Motor America	r=0.51	14yrs	121
Inflation in the US	r=0.61	12yrs	120
Popularity of the first name Melanie	r=0.73	14yrs	118
The number of movies Keira Knightley appeared in	r=0.68	11yrs	117
Liquefied petroleum gas used in Vanuatu	r=0.79	13yrs	116
Number of International Tourist Arrivals Worldwide	r=0.67	9yrs	116
Automotive recalls for issues with Service Brakes, Air	r=0.51	14yrs	116
Automotive recalls for issues with Trailer Hitches	r=0.51	14yrs	116
Popularity of the first name Iliana	r=0.72	14yrs	116
Automotive recalls for issues with the Child Seat	r=0.5	14yrs	115
Popularity of the first name Lara	r=0.71	14yrs	115
Asthma attacks in American children	r=0.5	7yrs	112
Asthma attacks in American children	r=0.49	7yrs	111
The distance between Neptune and Jupiter	r=0.66	14yrs	110
The distance between Uranus and Jupiter	r=0.66	14yrs	110
Automotive recalls for issues with the Tires	r=0.46	14yrs	109
Asthma attacks in American children	r=0.47	7yrs	108
Number of liposuctions performed on women	r=0.62	7yrs	106
Customer satisfaction with Nordstrom	r=-0.78	10yrs	106
Petroluem consumption in Bermuda	r=0.77	14yrs	104
US Highway Vehicle Gasoline Consumption	r=0.61	12yrs	100
Cream and Neufchatel cheese consumption	r=0.65	9yrs	100
Hispanic cheese consumption	r=0.66	8yrs	100
US Shoe Store Sales	r=0.53	12yrs	98
Total budget of Marvel comic-based films released	r=0.5	14yrs	98
Gasoline Prices in the US	r=0.5	14yrs	98
Italian-type cheese consumption	r=0.63	9yrs	97
Geothermal power generated in Costa Rica	r=0.75	12yrs	92
Customer satisfaction with Verizon	r=-0.65	10yrs	92
The number of movies Emily Watson appeared in	r=0.69	10yrs	87
National Lacrosse Champions' Final Point	r=0.5	6yrs	87
Torii Hunter's Hit Count	r=0.51	6yrs	86
Automotive recalls for issues with Latches/Locks/Linkages	r=-0.55	14yrs	85
Popularity of the first name Anabel	r=0.69	14yrs	82
Restaurant spending in Indiana	r=0.58	7yrs	82
Robberies in Indiana	r=-0.65	14yrs	82
Jet fuel used in Oman	r=0.75	14yrs	81
The distance between Neptune and Uranus	r=0.53	14yrs	81
Carjackings in the US	r=-0.68	9yrs	80
The number of movies Samuel L. Jackson appeared in	r=0.66	14yrs	76
Popularity of the first name Ashanti	r=0.68	14yrs	71
Petroluem consumption in Somalia	r=0.74	14yrs	70
Mozzarella cheese consumption	r=0.63	9yrs	67
The number of movies Rosamund Pike appeared in	r=0.78	6yrs	66
Petroluem consumption in Vanuatu	r=0.74	14yrs	60
Popularity of the first name Ana	r=0.67	14yrs	59
Natural cheese consumption	r=0.66	9yrs	54
The number of movies Elizabeth Banks appeared in	r=0.75	6yrs	52
Wind power generated in New Zealand	r=0.73	12yrs	49
Popularity of the first name Sonny	r=0.67	14yrs	49
Miss World's Age	r=0.5	14yrs	45
The number of movies Morgan Freeman appeared in	r=0.61	14yrs	39
Number of Botox Injections Administered to Women	r=0.54	7yrs	39
Petroluem consumption in Turkmenistan	r=0.74	12yrs	38
Popularity of the first name Jason	r=0.66	14yrs	38
American-type cheese consumption	r=0.57	9yrs	38
New York Times Fiction Best Sellers	r=0.46	14yrs	34
England Football Team's International Match Count	r=0.49	14yrs	29
Gasoline pumped in Turkmenistan	r=0.74	12yrs	28
Popularity of the first name Bryan	r=0.66	14yrs	28
The number of movies John Noble appeared in	r=0.6	14yrs	28
Texas Rangers' American League West Division finish position	r=0.49	14yrs	24
Popularity of the first name Jillian	r=0.66	14yrs	18
Electricity generation in Niger	r=0.7	14yrs	16
The number of movies Judi Dench appeared in	r=0.58	14yrs	14
Kobe Bryant's Regular Season Points	r=0.52	7yrs	13
Popularity of the first name Mara	r=0.66	14yrs	8
Liquefied petroleum gas used in Cameroon	r=0.72	14yrs	6
The number of movies Peter OToole appeared in	r=0.55	14yrs	0
Highway diesel consumption in US	r=0.56	12yrs	-1
Petroluem consumption in Turks and Caicos Islands	r=0.75	9yrs	-4
Popularity of the first name Leah	r=0.65	14yrs	-4
Popularity of the first name Julius	r=0.65	14yrs	-14
Fossil fuel use in Slovenia	r=0.7	12yrs	-16
Popularity of the first name Joan	r=0.65	14yrs	-24
The number of movies Richard Gere appeared in	r=0.52	14yrs	-24
Kerosene used in Falkland Islands	r=0.74	8yrs	-26
Popularity of the first name Melvin	r=0.64	14yrs	-36
The number of movies Laurence Olivier appeared in	r=0.51	14yrs	-36
Liquefied petroleum gas used in Lithuania	r=0.71	12yrs	-37
Popularity of the first name Rory	r=0.64	14yrs	-46
Solar power generated in Canada	r=0.68	12yrs	-48
The number of movies Joan Crawford appeared in	r=0.49	14yrs	-49
Popularity of the first name Jenifer	r=0.64	14yrs	-56
Liquefied petroleum gas used in Cuba	r=0.69	14yrs	-58
The number of movies Ryan Gosling appeared in	r=0.52	8yrs	-60
Popularity of the first name Waylon	r=0.63	14yrs	-67
Popularity of the first name Edwin	r=0.62	14yrs	-78
Popularity of the first name Chaya	r=0.62	14yrs	-88

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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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