Top variables that correlate with Air pollution in Somerset, Pennsylvania

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Data source: Environmental Protection Agency
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Air pollution in Somerset, Pennsylvania correlates with...

Variable	Correlation	Years	Sys. Score
Biomass power generated in Malawi	r=0.94	6yrs	300
Liquefied petroleum gas used in Rwanda	r=0.94	6yrs	296
Portion of all US dairy skim-solids allocated to the production of butter	r=0.95	6yrs	276
US production of butter	r=0.87	6yrs	258
US milk fat used to produce butter	r=0.87	6yrs	258
The number of movies James Franco appeared in	r=0.89	7yrs	249
US dairy skim solids used to produce butter	r=0.87	6yrs	226
Customer satisfaction with Frontier Communications	r=0.72	12yrs	158
Customer satisfaction with Walmart	r=0.71	12yrs	156
US bank failures	r=0.75	6yrs	154
Violent crime rates	r=0.63	16yrs	154
Customer satisfaction with gas stations	r=0.65	12yrs	147
Viewership count for Days of Our Lives	r=0.71	16yrs	143
Customer satisfaction with HP	r=0.6	12yrs	140
Electricity generation in Liberia	r=0.69	16yrs	137
Popularity of the first name Laken	r=0.74	16yrs	136
Customer satisfaction with Verizon	r=0.58	12yrs	136
NASA's budget as a percentage of the total US Federal Budget	r=0.62	16yrs	131
Robberies in Pennsylvania	r=0.6	16yrs	130
The number of movies Tina Fey appeared in	r=0.79	7yrs	129
Carjackings in the US	r=0.62	11yrs	128
Total number of live births in Australia	r=0.63	16yrs	126
Remaining Forest Cover in the Brazilian Amazon	r=0.59	16yrs	126
Annual US household spending on maintenance and repairs	r=0.82	6yrs	125
US household spending on prescription drugs	r=0.82	6yrs	125
Customer satisfaction with Southwest Airlines	r=0.55	12yrs	122
Grand Slam Finals Played by Serena Williams	r=0.72	7yrs	121
Popularity of the first name Monika	r=0.73	16yrs	120
Popularity of the first name Romello	r=0.75	12yrs	119
Customer satisfaction with United Airlines	r=0.53	12yrs	119
NASA's budget appropriation	r=0.53	16yrs	118
Highest Nielsen rating for a TV show each year	r=0.57	16yrs	117
Points allowed by the Pittsburgh Steelers	r=0.49	16yrs	116
Tiger Woods' Final Position in the US Open	r=0.59	11yrs	112
NCAA Men's Skiing champion's points	r=0.53	16yrs	112
Chicago Bulls Win Percentage Progression	r=0.53	16yrs	112
Global plane crashes	r=0.53	16yrs	112
Adidas Group's Global Net Sales	r=0.68	6yrs	111
The distance between Saturn and Venus	r=0.64	16yrs	110
Customer satisfaction with Dell	r=-0.84	9yrs	110
The number of films in Sylvester Stallone's filmography	r=0.51	16yrs	108
Customer satisfaction with Delta Airlines	r=0.46	12yrs	108
Fossil fuel use in Liberia	r=0.69	16yrs	107
Customer satisfaction with Kroger	r=0.45	12yrs	107
The distance between Neptune and the Sun	r=0.61	16yrs	105
The distance between Neptune and Earth	r=0.61	16yrs	105
Robberies in the US	r=0.59	16yrs	98
Electricity generation in Rwanda	r=0.67	16yrs	94
Muenster cheese consumption	r=0.78	11yrs	92
Popularity of the first name Katlin	r=0.72	16yrs	88
Arson in United States	r=0.58	16yrs	86
Kerosene used in Bermuda	r=0.69	16yrs	84
Average number of milk cows in the United States	r=0.51	16yrs	82
Popularity of the first name Jacques	r=0.72	16yrs	78
Burglary rates in the US	r=0.58	16yrs	76
The distance between Neptune and the moon	r=0.61	16yrs	75
Liquefied petroleum gas used in Saudi Arabia	r=0.69	16yrs	74
The number of movies Amy Adams appeared in	r=0.69	7yrs	74
Popularity of the first name Schuyler	r=0.71	16yrs	67
Burglaries in Pennsylvania	r=0.58	16yrs	66
US average dairy skim-solid content of whey products (net)	r=0.83	6yrs	64
The distance between Saturn and the Sun	r=0.59	16yrs	62
The number of movies Jon Hamm appeared in	r=0.68	6yrs	62
Liquefied petroleum gas used in Ethiopia	r=0.67	16yrs	61
Sales of Top-Selling Comic Book to North American Comics Shops	r=0.59	9yrs	58
Popularity of the first name Johnna	r=0.71	16yrs	57
Motor vehicle thefts	r=0.58	16yrs	56
The distance between Saturn and Mercury	r=0.59	16yrs	52
Gasoline pumped in Guinea-Bissau	r=0.67	16yrs	51
Frozen yogurt consumption	r=0.66	16yrs	48
Motor vehicle thefts in Pennsylvania	r=0.58	16yrs	46
Popularity of the first name Kaitlin	r=0.69	16yrs	44
Solar power generated in Czechia	r=0.66	13yrs	40
Popularity of the first name Kaycee	r=0.69	16yrs	34
US production of sour cream	r=0.67	6yrs	32
Hydopower energy generated in Rwanda	r=0.64	16yrs	30
Arson in Pennsylvania	r=0.54	16yrs	30
Popularity of the first name Rashawn	r=0.69	16yrs	24
Blue cheese consumption	r=0.65	11yrs	22
Hydopower energy generated in Togo	r=0.64	16yrs	20
Popularity of the first name Tiarra	r=0.69	16yrs	14
Petroluem consumption in Cuba	r=0.65	16yrs	8
US average dairy skim-solid content of frozen dairy products	r=0.79	6yrs	8
Popularity of the first name Najee	r=0.69	16yrs	4
Petroluem consumption in Sierra Leone	r=0.65	16yrs	-2
Popularity of the first name Myesha	r=0.69	16yrs	-6
US production of evaporated and condensed milk	r=0.61	6yrs	-6
Kerosene used in Saint Kitts and Nevis	r=0.64	16yrs	-14
Popularity of the first name Allison	r=0.68	16yrs	-17
Milk consumption	r=0.54	16yrs	-18
Liquefied petroleum gas used in Solomon Islands	r=0.64	16yrs	-24
Popularity of the first name Tiara	r=0.68	16yrs	-27
Liquefied petroleum gas used in Uzbekistan	r=0.65	14yrs	-34
Popularity of the first name Tia	r=0.68	16yrs	-37
Kerosene used in Venezuela	r=0.64	16yrs	-44
Popularity of the first name Keenan	r=0.68	16yrs	-47
Hydopower energy generated in Suriname	r=0.61	16yrs	-55
Popularity of the first name Marquise	r=0.68	16yrs	-57
Gasoline pumped in Congo-Kinshasa	r=0.63	16yrs	-65
Popularity of the first name Kelsi	r=0.68	16yrs	-67
Popularity of the first name Stephon	r=0.68	16yrs	-77

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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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