Top variables that correlate with Air pollution in Oxford, North Carolina

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Data source: Environmental Protection Agency
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Air pollution in Oxford, North Carolina correlates with...

Variable	Correlation	Years	Has img?
xkcd comics published about romance	r=0.88	17yrs	Yes!
Google searches for 'how to build a lightsaber'	r=0.86	20yrs	No

Air pollution in Oxford, North Carolina also correlates with...

Variable	Correlation	Years	Sys. Score
Number of edits to the Wikipedia article for Thanksgiving	r=0.95	16yrs	429
AIG's stock price (AIG)	r=0.9	22yrs	393
Google searches for 'snoop dog'	r=0.94	20yrs	378
Citigroup's stock price (C)	r=0.89	22yrs	362
Lloyds Banking Group's stock price (LYG)	r=0.89	22yrs	362
GMO use in cotton in North Carolina	r=0.91	23yrs	358
Popularity of the 'call me maybe' meme	r=0.93	12yrs	345
Physical album shipment volume in the United States	r=0.89	24yrs	344
US milk fat used to produce fluid beverage milk	r=0.89	22yrs	342
U.S. intercountry adoptions	r=0.87	23yrs	340
Liquefied petroleum gas used in Greenland	r=0.89	22yrs	340
Google searches for 'learn spanish'	r=0.87	20yrs	338
The number of cabinetmakers in North Carolina	r=0.86	20yrs	335
The number of cutters and trimmers, hand in North Carolina	r=0.86	20yrs	335
The number of prepress technicians and workers in North Carolina	r=0.85	20yrs	334
GMO use in cotton	r=0.86	23yrs	321
US household spending on books	r=0.87	23yrs	320
US household spending on floor coverings	r=0.86	23yrs	318
US household spending on clothing for men	r=0.86	23yrs	318
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.88	22yrs	317
US average milk-fat content of frozen dairy products	r=0.88	22yrs	317
NatWest Group's stock price (NWG)	r=0.87	16yrs	292
Popularity of the 'gangnam style' meme	r=0.89	12yrs	289
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.87	22yrs	286
The divorce rate in North Carolina	r=0.84	23yrs	252
Violent crime rates	r=0.67	38yrs	247
Carjackings in the US	r=0.83	27yrs	240
Remaining Forest Cover in the Brazilian Amazon	r=0.77	36yrs	238
Arson in United States	r=0.74	38yrs	238
Petroluem consumption in Denmark	r=0.77	43yrs	238
Viewership count for Days of Our Lives	r=0.72	42yrs	236
Petroluem consumption in Germany	r=0.8	32yrs	232
NASA's budget as a percentage of the total US Federal Budget	r=0.65	44yrs	228
US Employment Rate	r=0.73	33yrs	224
Popularity of the first name Monika	r=0.75	43yrs	215
Popularity of the first name Johnna	r=0.75	43yrs	215
The distance between Neptune and the Sun	r=0.72	44yrs	214
The distance between Neptune and Earth	r=0.72	44yrs	214
The distance between Neptune and the moon	r=0.72	44yrs	214
Popularity of the first name Cindy	r=0.73	43yrs	212
US household spending on clothing	r=0.85	23yrs	212
US household spending on clothin for women	r=0.85	23yrs	212
US household spending on prescription drugs	r=0.83	23yrs	208
US household spending on transportation	r=0.82	23yrs	207
Annual US household spending on books	r=0.81	23yrs	206
Motor vehicle thefts	r=0.72	38yrs	204
US household spending on processed fruits	r=0.79	23yrs	202
Kerosene used in Peru	r=0.73	42yrs	201
Popularity of the 'all your base' meme	r=0.83	18yrs	201
US birth rates of triplets or more	r=0.81	20yrs	200
Google searches for 'harry potter'	r=0.83	20yrs	197
The number of furniture finishers in North Carolina	r=0.84	20yrs	197
Burglary rates in the US	r=0.71	38yrs	193
Kerosene used in Nicaragua	r=0.72	42yrs	190
The number of millwrights in North Carolina	r=0.83	20yrs	186
Arson in North Carolina	r=0.7	38yrs	182
Popularity of the first name Tommy	r=0.73	43yrs	182
Gasoline pumped in Slovenia	r=0.8	31yrs	180
The distance between Neptune and Mercury	r=0.69	44yrs	180
The number of postal service machine operators in North Carolina	r=0.82	20yrs	174
Sherbet consumption	r=0.76	32yrs	174
Orange's stock price (ORAN)	r=0.79	22yrs	172
Popularity of the first name Lexus	r=0.8	33yrs	172
Kerosene used in United States	r=0.72	43yrs	170
Robberies in the US	r=0.67	38yrs	167
Ice cream consumption	r=0.74	32yrs	162
Barclays' stock price (BCS)	r=0.79	22yrs	162
Popularity of the first name Erik	r=0.72	43yrs	160
Kerosene used in Norway	r=0.71	43yrs	159
Petroluem consumption in Serbia	r=0.85	16yrs	158
Burglaries in North Carolina	r=0.65	38yrs	154
Popularity of the first name Sommer	r=0.72	43yrs	150
Fossil fuel use in Slovakia	r=0.78	29yrs	148
Milk consumption	r=0.7	32yrs	147
Popularity of the first name Jacques	r=0.72	43yrs	140
Kerosene used globally	r=0.71	42yrs	138
US average milk-fat content of cottage cheese	r=0.84	22yrs	136
Popularity of the first name Sarah	r=0.71	43yrs	129
Gasoline pumped in Belgium	r=0.7	43yrs	128
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.82	22yrs	123
Popularity of the first name Brenda	r=0.71	43yrs	119
Gasoline pumped in Germany	r=0.78	32yrs	118
Popularity of the first name Mario	r=0.71	43yrs	109
Petroluem consumption in Italy	r=0.7	43yrs	108
Popularity of the first name Marc	r=0.71	43yrs	99
Gasoline pumped in Lithuania	r=0.78	31yrs	98
Popularity of the first name Ramon	r=0.71	43yrs	89
Popularity of the first name Steve	r=0.71	43yrs	79
Gasoline pumped in France	r=0.69	43yrs	76
Popularity of the first name Chasity	r=0.71	43yrs	69
Fossil fuel use in Sweden	r=0.67	42yrs	65
Popularity of the first name Christa	r=0.71	43yrs	59
Gasoline pumped in Norway	r=0.68	43yrs	54
Popularity of the first name Arlene	r=0.71	43yrs	49
Petroluem consumption in Sweden	r=0.68	43yrs	44
Popularity of the first name Bradly	r=0.71	43yrs	39
Nuclear power generation in Germany	r=0.73	31yrs	33
Popularity of the first name Kenyatta	r=0.71	43yrs	29
Popularity of the first name Consuelo	r=0.71	43yrs	19

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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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