Top variables that correlate with Air pollution in Sheboygan, Wisconsin

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Data source: Environmental Protection Agency
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Air pollution in Sheboygan, Wisconsin correlates with...

Variable	Correlation	Years	Sys. Score
The average number of likes on Numberphile YouTube videos	r=0.89	12yrs	308
Google searches for 'Titanic'	r=0.86	15yrs	302
Popularity of the 'call me maybe' meme	r=0.89	11yrs	288
The number of movies Gregory Peck appeared in	r=0.64	43yrs	208
Average number of comments on Numberphile YouTube videos	r=0.83	12yrs	194
Total likes of Numberphile YouTube videos	r=0.83	12yrs	194
Google searches for 'how to trap a spider'	r=0.74	16yrs	160
Popularity of the 'gangnam style' meme	r=0.84	11yrs	160
Physical album shipment volume in the United States	r=0.67	24yrs	156
Customer satisfaction with Kohl's	r=0.66	19yrs	156
Kerosene used in Tunisia	r=0.56	42yrs	156
Hydopower energy generated in Denmark	r=0.53	42yrs	154
Kerosene used in Seychelles	r=0.54	42yrs	152
The marriage rate in Wisconsin	r=0.6	23yrs	149
Johnson Controls International's stock price (JCI)	r=0.61	21yrs	148
Total comments on Numberphile YouTube videos	r=0.81	12yrs	146
Asthma attacks in American children	r=0.55	23yrs	146
Orange's stock price (ORAN)	r=0.59	21yrs	146
The divorce rate in Wisconsin	r=0.57	23yrs	146
Google searches for 'Gangnam Style'	r=0.76	11yrs	142
Customer satisfaction with FOXNews.com	r=0.62	12yrs	142
Popularity of the 'McKayla Maroney' meme	r=0.68	16yrs	142
Asthma prevalence in American children	r=0.55	17yrs	140
AIG's stock price (AIG)	r=0.54	21yrs	138
Ice cream consumption	r=0.57	32yrs	136
Popularity of the first name Nautica	r=0.64	31yrs	136
Customer satisfaction with GE Appliances	r=0.47	28yrs	136
GMO use in cotton	r=0.65	23yrs	134
Total comments on Vihart's YouTube videos	r=0.78	14yrs	133
Career regular season goals scored by Sidney Crosby	r=0.64	21yrs	133
Popularity of the first name Shemar	r=0.63	29yrs	133
US household spending on prescription drugs	r=0.66	23yrs	133
Asthma prevalence in American children	r=0.5	17yrs	132
Asthma attacks in American children	r=0.46	23yrs	132
US household spending on books	r=0.65	23yrs	132
Total annual sales of Ford Motors in the United States	r=0.63	23yrs	130
Popularity of the first name Elisabeth	r=0.51	43yrs	129
Automotive recalls issued by Porsche	r=-0.49	43yrs	128
The number of electrical power-line installers and repairers in Wisconsin	r=0.61	20yrs	128
Hot days in Milwaukee	r=0.52	33yrs	128
Bankruptcy filings in the US	r=0.53	24yrs	126
US milk fat used to produce fluid beverage milk	r=0.58	22yrs	125
US milk fat used to produce frozen dairy products	r=0.58	22yrs	125
Customer satisfaction with Southwest Airlines	r=-0.64	28yrs	124
Customer satisfaction with Apple	r=-0.63	28yrs	124
US birth rates of triplets or more	r=0.52	20yrs	122
xkcd comics published about existentialism	r=0.56	16yrs	122
Cigarette Smoking Rate for US adults	r=0.56	21yrs	121
Kerosene used in Macau	r=0.52	42yrs	120
U.S. intercountry adoptions	r=0.54	23yrs	120
xkcd comics published about language	r=0.55	16yrs	120
US Employment Rate	r=0.46	33yrs	118
Total likes of Vihart's YouTube videos	r=0.74	14yrs	117
Disney movies released	r=0.47	23yrs	117
The number of travel agents in Wisconsin	r=0.53	20yrs	116
Value of the Victoria's Secret Annual Fantasy Bra	r=0.5	24yrs	115
Kerosene used in Peru	r=0.52	42yrs	110
Google searches for 'how to treat a snake bite'	r=0.66	19yrs	106
Lloyds Banking Group's stock price (LYG)	r=0.53	21yrs	106
Popularity of the 'willy wonka' meme	r=0.6	17yrs	100
Kerosene used in Japan	r=0.51	43yrs	99
Popularity of the first name Seth	r=0.5	43yrs	98
Citigroup's stock price (C)	r=0.52	21yrs	95
Total length of minutephysics YouTube videos	r=0.67	12yrs	94
Gasoline pumped in Croatia	r=0.59	30yrs	88
Popularity of the first name Jillian	r=0.5	43yrs	88
Google searches for 'how to build a lightsaber'	r=0.68	19yrs	83
How professional-sounding Steve Mould's YouTube video titles are	r=-0.91	14yrs	82
Popularity of the 'bad luck brian' meme	r=0.52	17yrs	78
Gasoline pumped in Norway	r=0.49	43yrs	76
Popularity of the first name Jarrett	r=0.49	43yrs	76
How geeky Tom Scott's YouTube video titles are	r=0.8	14yrs	71
Google searches for 'snoop dog'	r=0.56	19yrs	71
Popularity of the 'overly attached girlfriend' meme	r=0.52	17yrs	68
Kerosene used in Syria	r=0.5	42yrs	66
Popularity of the first name Rhiannon	r=0.49	43yrs	66
Total comments on minutephysics YouTube videos	r=0.64	12yrs	60
Google searches for 'harry potter'	r=0.55	19yrs	59
Popularity of the first name Aja	r=0.49	43yrs	56
Popularity of the 'y u no' meme	r=0.5	17yrs	56
Kerosene used in Sierra Leone	r=0.49	42yrs	55
Total views on Vihart's YouTube videos	r=0.79	14yrs	50
Popularity of the first name Jarod	r=0.49	43yrs	46
Google searches for 'hottest man on earth'	r=0.53	19yrs	46
Wind power generated in Venezuela	r=-0.94	10yrs	36
Popularity of the first name Josef	r=0.49	43yrs	36
Google searches for 'titanic'	r=0.53	19yrs	36
Gasoline pumped in Saint Helena	r=0.64	22yrs	22
How nerdy MrBeast's YouTube video titles are	r=0.72	11yrs	11
Fossil fuel use in Slovakia	r=0.56	29yrs	10
Liquefied petroleum gas used in Greenland	r=0.62	22yrs	0
How cool Steve Mould's YouTube video titles are	r=-0.87	14yrs	-2
Petroluem consumption in Antarctica	r=0.48	42yrs	-12
How good Steve Mould's YouTube video titles are	r=-0.86	14yrs	-13
Kerosene used in Central African Republic	r=0.52	35yrs	-22
How nerdy Steve Mould's YouTube video titles are	r=-0.85	14yrs	-24
Petroluem consumption in Italy	r=0.47	43yrs	-32
How geeky MrBeast's YouTube video titles are	r=0.69	11yrs	-34
Kerosene used in El Salvador	r=0.46	42yrs	-44
Kerosene used in Eswatini	r=0.52	33yrs	-54
Kerosene used in Indonesia	r=0.46	42yrs	-64

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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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