Top variables that correlate with Air quality in St. Marys, Pennsylvania

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Data source: Environmental Protection Agency
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Air quality in St. Marys, Pennsylvania correlates with...

Variable	Correlation	Years	Sys. Score
USA Population	r=0.9	33yrs	384
Total geothermal power generated globally	r=0.9	32yrs	384
Electricity generation in Cabo Verde	r=0.9	32yrs	384
Wind power generated in Denmark	r=0.9	32yrs	384
Average milk produced per cow in the US	r=0.9	33yrs	377
Popularity of the first name Evelyn	r=0.91	33yrs	364
Popularity of the first name Naomi	r=0.91	33yrs	364
Popularity of the first name Genevieve	r=0.91	33yrs	364
Number of Lawyers in the United States	r=0.88	33yrs	358
Electricity generation in Gibraltar	r=0.9	32yrs	354
Patents granted in the US	r=0.86	31yrs	354
Gender pay gap in the U.S.	r=0.88	32yrs	353
Annual Revenue of Walt Disney Company	r=0.88	32yrs	353
Number of households headed by single fathers in the United States	r=0.88	32yrs	352
Intel Corporation's annual revenue	r=0.88	33yrs	351
Inflation in the US	r=0.89	31yrs	350
Patents granted in the US	r=0.86	31yrs	350
Number of Registered Vehicles in the US	r=0.86	32yrs	347
US Annual Tax Revenue	r=0.86	32yrs	347
Electricity generation in Honduras	r=0.9	32yrs	344
U.S. direct investment abroad	r=0.87	22yrs	340
Number of internet users	r=0.85	24yrs	340
Ticket prices at North American movie theaters	r=0.85	22yrs	338
US production of cheese (other than cottage cheese)	r=0.86	22yrs	337
US milk fat used to produce cheese (excluding cottage cheese)	r=0.86	22yrs	337
Fossil fuel use in Indonesia	r=0.9	32yrs	334
Popularity of the first name Ellie	r=0.91	33yrs	334
The distance between Neptune and Uranus	r=0.88	34yrs	334
The number of clergy in Pennsylvania	r=0.85	20yrs	334
Number of public school students in 12th grade	r=0.87	33yrs	332
GMO use in corn	r=0.86	24yrs	325
Popularity of the first name Phoenix	r=0.91	33yrs	324
Petroluem consumption in China	r=0.91	32yrs	323
GMO use in cotton	r=0.87	23yrs	322
Annual US household spending on telephone services	r=0.88	23yrs	321
Annual US household spending on healthcare	r=0.88	23yrs	321
Annual US household spending on health insurance	r=0.88	23yrs	321
US household spending on healthcare	r=0.88	23yrs	321
US household spending on health insurance	r=0.88	23yrs	321
Restaurant spending in Pennsylvania	r=0.86	24yrs	320
Annual US household spending on rented dwellings	r=0.87	23yrs	320
Food spending in Pennsylvania	r=0.87	24yrs	319
Grocery store spend in Pennsylvania	r=0.86	24yrs	318
Annual US household spending on fresh fruits	r=0.86	23yrs	318
Annual US household spending on fresh vegetables	r=0.86	23yrs	318
Annual US household spending on property taxes	r=0.85	23yrs	316
Popularity of the first name Asa	r=0.91	33yrs	314
Gasoline pumped in Equatorial Guinea	r=0.91	32yrs	313
US dairy skim solids used to produce cheese (other than cottage cheese)	r=0.86	22yrs	306
Popularity of the first name Mina	r=0.91	33yrs	304
Petroluem consumption in Algeria	r=0.9	32yrs	302
Yogurt consumption	r=0.86	32yrs	294
Liquefied petroleum gas used in India	r=0.9	32yrs	292
Popularity of the first name Lena	r=0.9	33yrs	292
Economic output of Washington metro area	r=0.86	21yrs	286
Milk-fat consumption	r=0.86	32yrs	284
Liquefied petroleum gas used in Morocco	r=0.9	32yrs	282
Popularity of the first name Lucia	r=0.9	33yrs	282
Italian-type cheese consumption	r=0.89	27yrs	274
Gasoline pumped in Sao Tome and Principe	r=0.9	32yrs	272
Popularity of the first name Eliana	r=0.9	33yrs	272
American cheese consumption	r=0.85	32yrs	263
US per-person consumption of bottled water	r=0.88	24yrs	262
Kerosene used in Sao Tome and Principe	r=0.9	32yrs	262
Popularity of the first name Valentina	r=0.9	33yrs	262
Total number of automotive recalls	r=0.84	33yrs	262
Automotive recalls for issues with the Electrical System	r=0.84	33yrs	260
Automotive recalls issued by BMW of North America	r=0.78	33yrs	256
Automotive recalls issued by Hyundai Motor America	r=0.77	33yrs	254
Hispanic cheese consumption	r=0.89	26yrs	253
Gasoline pumped in United Arab Emirates	r=0.9	32yrs	252
Popularity of the first name Camila	r=0.9	33yrs	252
Automotive recalls for issues with the Power Train	r=0.78	33yrs	251
The Walt Disney Company's stock price (DIS)	r=0.8	22yrs	248
Customer satisfaction with Dillard's	r=0.79	27yrs	248
Google searches for 'i have the flu'	r=0.83	20yrs	247
Automotive recalls issued by Volkswagen Group of America	r=0.72	33yrs	246
Automotive recalls issued by Mercedes-Benz USA	r=0.72	33yrs	246
Dominion Energy's stock price (D)	r=0.82	22yrs	246
Realty Income's stock price (O)	r=0.82	22yrs	246
Mozzarella cheese consumption	r=0.88	27yrs	242
Natural cheese consumption	r=0.88	27yrs	225
US Bottled Water Consumption per Person	r=0.89	24yrs	220
Novartis AG's stock price (NVS)	r=0.81	22yrs	214
Total hydopower energy generated globally	r=0.9	32yrs	214
Popularity of the first name Henry	r=0.9	33yrs	212
Cognizant Technology Solutions' stock price (CTSH)	r=0.81	22yrs	204
Renewable energy production in Congo-Kinshasa	r=0.9	32yrs	204
Popularity of the first name Roman	r=0.9	33yrs	202
Illumina's stock price (ILMN)	r=0.81	22yrs	194
Hydopower energy generated in Congo-Kinshasa	r=0.9	32yrs	194
Popularity of the first name Lucy	r=0.9	33yrs	192
Electricity generation in Jordan	r=0.9	32yrs	184
Popularity of the first name Leonardo	r=0.9	33yrs	182
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=0.83	33yrs	179
Electricity generation in Kuwait	r=0.9	32yrs	174
Popularity of the first name Santiago	r=0.9	33yrs	172
Electricity generation in Nicaragua	r=0.9	32yrs	164
Popularity of the first name Eden	r=0.9	33yrs	162
Popularity of the first name Elaina	r=0.9	33yrs	152
Popularity of the first name Leonel	r=0.9	33yrs	142

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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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