Top variables that correlate with Air quality in Wabash, Indiana

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Data source: Environmental Protection Agency
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Air quality in Wabash, Indiana correlates with...

Variable	Correlation	Years	Sys. Score
Wind power generated in Venezuela	r=0.93	10yrs	337
Petroluem consumption in Turks and Caicos Islands	r=0.84	27yrs	232
Gasoline pumped in Cabo Verde	r=0.82	28yrs	230
Italian-type cheese consumption	r=0.81	27yrs	217
Mozzarella cheese consumption	r=0.81	27yrs	217
Hispanic cheese consumption	r=0.8	26yrs	214
Customer satisfaction with Apple	r=0.71	28yrs	207
Customer satisfaction with Dillard's	r=0.71	27yrs	206
Popularity of the first name Marlee	r=0.74	33yrs	204
Popularity of the first name Amaris	r=0.74	33yrs	204
Total number of automotive recalls	r=0.65	33yrs	203
Liquefied petroleum gas used in Moldova	r=0.82	27yrs	200
Popularity of the first name Ruby	r=0.71	33yrs	199
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=0.67	33yrs	190
Number of Lawyers in the United States	r=0.65	33yrs	189
USA Population	r=0.69	33yrs	188
Fossil fuel use in Eritrea	r=0.78	28yrs	188
Gender pay gap in the U.S.	r=0.66	32yrs	185
Customer satisfaction with Frontier Communications	r=-0.74	28yrs	184
Annual Revenue of Walt Disney Company	r=0.64	32yrs	182
Automotive recalls issued by BMW of North America	r=0.62	33yrs	182
Total number of live births in Australia	r=0.64	33yrs	180
Number of Registered Vehicles in the US	r=0.65	32yrs	180
Number of times 12 was a winning Mega Millions number	r=0.69	22yrs	180
Automotive recalls issued by Hyundai Motor America	r=0.61	33yrs	180
Average milk produced per cow in the US	r=0.68	33yrs	179
Automotive recalls issued by Keystone RV Company	r=0.65	25yrs	178
Automotive recalls for issues with the Power Train	r=0.62	33yrs	177
Jet fuel used in Tanzania	r=0.77	32yrs	177
Carjackings in the US	r=-0.81	27yrs	176
Automotive recalls for issues with the Electrical System	r=0.6	33yrs	174
Google searches for 'Titanic'	r=-0.93	16yrs	172
Automotive recalls for issues with the Tires	r=0.57	33yrs	170
Popularity of the first name Bruno	r=0.71	33yrs	169
The average number of likes on CGP Grey YouTube videos	r=0.76	13yrs	169
American-type cheese consumption	r=0.75	27yrs	168
Viewership count for Days of Our Lives	r=-0.7	32yrs	168
US per-person consumption of bottled water	r=0.75	24yrs	168
Number of public school students in 12th grade	r=0.67	33yrs	168
Grocery store spend in Indiana	r=0.75	24yrs	166
Fossil fuel use in Belarus	r=0.76	30yrs	166
GMO use in cotton	r=0.72	23yrs	165
Food spending in Indiana	r=0.74	24yrs	164
Restaurant spending in Indiana	r=0.72	24yrs	164
Number of public school students in 11th grade	r=0.65	33yrs	164
Annual US household spending on utilities	r=0.73	23yrs	164
Annual US household spending on health insurance	r=0.73	23yrs	164
US household spending on health insurance	r=0.73	23yrs	164
Total length of SciShow Space YouTube videos	r=0.74	10yrs	163
Patents granted in the US	r=0.62	31yrs	162
The distance between Neptune and Uranus	r=0.63	34yrs	161
U.S. direct investment abroad	r=0.7	22yrs	160
Patents granted in the US	r=0.62	31yrs	160
The average number of likes on AsapSCIENCE YouTube videos	r=0.71	12yrs	160
Natural cheese consumption	r=0.8	27yrs	158
Popularity of the first name Lucas	r=0.7	33yrs	158
Ticket prices at North American movie theaters	r=0.67	22yrs	156
Kerosene used in Falkland Islands	r=0.8	26yrs	156
Popularity of the first name Sebastian	r=0.7	33yrs	148
Jet fuel used in Macau	r=0.8	27yrs	146
Popularity of the first name Nolan	r=0.7	33yrs	138
Electricity generation in Russia	r=0.75	30yrs	135
Popularity of the first name Melody	r=0.7	33yrs	128
The average number of likes on minutephysics YouTube videos	r=0.69	13yrs	128
Electricity generation in Hong Kong	r=0.73	32yrs	124
Popularity of the first name Lucy	r=0.7	33yrs	118
Cream and Neufchatel cheese consumption	r=0.74	27yrs	116
US Bottled Water Consumption per Person	r=0.75	24yrs	114
Nuclear power generation in Romania	r=0.77	26yrs	114
Popularity of the first name Leonardo	r=0.7	33yrs	108
Inflation in the US	r=0.64	31yrs	108
Number of households headed by single fathers in the United States	r=0.62	32yrs	103
Fossil fuel use in Hong Kong	r=0.72	32yrs	102
Cheddar cheese consumption	r=0.7	27yrs	100
Popularity of the first name Lucia	r=0.7	33yrs	98
Intel Corporation's annual revenue	r=0.62	33yrs	97
Total employee count at Continental AG	r=0.66	24yrs	91
Electricity generation in Gibraltar	r=0.71	32yrs	91
Popularity of the first name Eden	r=0.7	33yrs	88
Yogurt consumption	r=0.65	32yrs	88
US Annual Tax Revenue	r=0.62	32yrs	86
Gasoline pumped in New Caledonia	r=0.73	32yrs	81
Popularity of the first name Leonel	r=0.7	33yrs	78
Milk-fat consumption	r=0.65	32yrs	78
Electricity generation in Antigua and Barbuda	r=0.7	32yrs	70
Popularity of the first name Gwendolyn	r=0.7	33yrs	68
Portion of all US dairy skim-solids allocated to the production of cheese (other than cottage cheese)	r=0.75	22yrs	64
Electricity generation in Bahrain	r=0.7	32yrs	60
Popularity of the first name Layla	r=0.7	33yrs	58
Fossil fuel use in Bahrain	r=0.7	32yrs	50
Popularity of the first name Asa	r=0.7	33yrs	48
US milk fat used to produce sour cream	r=0.7	22yrs	48
Electricity generation in Belarus	r=0.72	30yrs	40
Popularity of the first name Chana	r=0.7	33yrs	38
US production of cheese (other than cottage cheese)	r=0.69	22yrs	36
Renewable energy production in Costa Rica	r=0.7	32yrs	30
Popularity of the first name Julian	r=0.69	33yrs	26
US milk fat used to produce cheese (excluding cottage cheese)	r=0.69	22yrs	26
Popularity of the first name Evelyn	r=0.69	33yrs	16
US milk fat used to produce yogurt	r=0.69	22yrs	16
Popularity of the first name Naomi	r=0.69	33yrs	6

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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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