Top variables that correlate with Air quality in Chattanooga, Tennessee

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Data source: Environmental Protection Agency
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Air quality in Chattanooga, Tennessee correlates with...

Variable	Correlation	Years	Sys. Score
Customer satisfaction with Dillard's	r=0.87	27yrs	365
Electricity generation in Kazakhstan	r=0.86	30yrs	346
Biomass power generated in Slovenia	r=0.89	23yrs	344
US milk fat used to produce yogurt	r=0.86	22yrs	337
US milk fat used to produce sour cream	r=0.85	22yrs	336
US dairy skim solids used to produce sour cream	r=0.85	22yrs	334
Solar power generated in Libya	r=0.9	12yrs	334
GMO use in corn	r=0.85	24yrs	324
Grocery store spend in Tennessee	r=0.86	24yrs	318
How insightful SmarterEveryDay YouTube video titles are	r=0.86	17yrs	288
How professional-sounding SmarterEveryDay YouTube video titles are	r=0.86	17yrs	288
Wind power generated in Venezuela	r=0.91	10yrs	284
US average dairy skim-solid content of cheese (other than cottage cheese)	r=0.86	22yrs	274
Customer satisfaction with Apple	r=0.84	28yrs	256
Automotive recalls issued by BMW of North America	r=0.68	43yrs	250
Automotive recalls for issues with the Electrical System	r=0.7	43yrs	249
Total number of automotive recalls	r=0.69	43yrs	249
Customer satisfaction with Southwest Airlines	r=0.76	28yrs	244
Total number of live births in Australia	r=0.79	43yrs	242
Automotive recalls for issues with the Power Train	r=0.65	43yrs	242
Automotive recalls issued by Hyundai Motor America	r=0.66	37yrs	242
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=0.73	43yrs	240
Patents granted in the US	r=0.7	41yrs	234
USA Population	r=0.72	43yrs	232
Patents granted in the US	r=0.7	41yrs	232
U.S. direct investment abroad	r=0.83	22yrs	229
Budget for largest movie production	r=0.66	43yrs	226
Yearly Total Gross Income of US Farms	r=0.8	23yrs	226
UFO sightings in Tennessee	r=0.63	42yrs	225
Global plane crashes	r=0.67	43yrs	224
Hollister retail store count worldwide	r=0.79	23yrs	222
Total employee count at Continental AG	r=0.77	24yrs	222
Number of firearms manufactured in the US	r=0.7	36yrs	222
US Annual Tax Revenue	r=0.66	42yrs	222
Popularity of the first name Jude	r=0.8	43yrs	222
Popularity of the first name Stella	r=0.79	43yrs	221
Average milk produced per cow in the US	r=0.69	43yrs	220
Intel Corporation's annual revenue	r=0.69	36yrs	220
Inflation in the US	r=0.72	31yrs	220
Popularity of the first name Levi	r=0.78	43yrs	220
GMO use in corn	r=0.83	24yrs	216
Google searches for 'how to immigrate to canada'	r=0.79	20yrs	216
Google searches for 'i have the flu'	r=0.81	20yrs	214
GMO use in cotton	r=0.84	23yrs	213
The distance between Neptune and Uranus	r=0.71	44yrs	213
Food spending in Tennessee	r=0.84	24yrs	210
Annual US household spending on telephone services	r=0.83	23yrs	208
Automotive recalls issued by Mercedes-Benz USA	r=0.59	43yrs	207
Automotive recalls issued by Honda	r=0.59	43yrs	207
Fomento Econ's stock price (FMX)	r=0.76	22yrs	207
US household spending on healthcare	r=0.82	23yrs	207
Restaurant spending in Tennessee	r=0.8	24yrs	206
Automotive recalls issued by Porsche	r=0.58	43yrs	206
Enbridge's stock price (ENB)	r=0.75	22yrs	206
Customer satisfaction with Kroger	r=0.71	27yrs	206
Annual US household spending on utilities	r=0.81	23yrs	206
Fossil fuel use in Equatorial Guinea	r=0.78	42yrs	202
Biomass power generated in Belgium	r=0.77	42yrs	190
Popularity of the first name Lucy	r=0.78	43yrs	190
GMO use in cotton	r=0.82	23yrs	180
Biomass power generated in Italy	r=0.77	42yrs	180
Popularity of the first name Graham	r=0.78	43yrs	180
US production of yogurt, nonfrozen	r=0.84	22yrs	179
Electricity generation in Libya	r=0.77	42yrs	170
Popularity of the first name Genevieve	r=0.78	43yrs	170
US dairy skim solids used to produce yogurt, nonfrozen	r=0.85	22yrs	169
Fossil fuel use in Libya	r=0.77	42yrs	160
Popularity of the first name Lena	r=0.78	43yrs	160
US milk fat used to produce whey products (net)	r=0.8	22yrs	153
Biomass power generated in Poland	r=0.77	42yrs	150
Popularity of the first name Eden	r=0.78	43yrs	150
Petroluem consumption in Algeria	r=0.79	42yrs	140
Popularity of the first name Brielle	r=0.78	43yrs	140
Hispanic cheese consumption	r=0.83	26yrs	139
Liquefied petroleum gas used in Guinea-Bissau	r=0.79	42yrs	130
Popularity of the first name Layla	r=0.78	43yrs	130
Italian-type cheese consumption	r=0.79	27yrs	124
Popularity of the first name Valentina	r=0.78	43yrs	120
Biomass power generated in Brazil	r=0.76	42yrs	118
Butter consumption	r=0.75	32yrs	113
US Bottled Water Consumption per Person	r=0.79	24yrs	110
Popularity of the first name Lia	r=0.78	43yrs	110
Electricity generation in Cabo Verde	r=0.76	42yrs	108
Mozzarella cheese consumption	r=0.78	27yrs	102
Popularity of the first name Camila	r=0.78	43yrs	100
Fossil fuel use in Egypt	r=0.76	42yrs	98
Yogurt consumption	r=0.73	32yrs	90
Popularity of the first name Piper	r=0.78	43yrs	90
Electricity generation in Equatorial Guinea	r=0.76	42yrs	88
Popularity of the first name Leighton	r=0.78	43yrs	80
US average milk-fat content of yogurt, nonfrozen	r=0.85	22yrs	78
Fossil fuel use in Madagascar	r=0.76	42yrs	78
Popularity of the first name Camilla	r=0.78	43yrs	70
Fossil fuel use in Maldives	r=0.76	42yrs	68
Portion of all US dairy skim-solids allocated to the production of cheese (other than cottage cheese)	r=0.83	22yrs	66
Popularity of the first name Ryder	r=0.78	43yrs	60
Geothermal power generated in New Zealand	r=0.76	42yrs	58
Biomass power generated in Nicaragua	r=0.76	42yrs	48
Popularity of the first name Lucas	r=0.77	43yrs	48
Popularity of the first name Henry	r=0.77	43yrs	38
Popularity of the first name Liam	r=0.77	43yrs	28

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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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