Top variables that correlate with Air pollution in Madison, Wisconsin

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Norway	r=0.68	43yrs	224
Kerosene used in United States	r=0.66	43yrs	222
Petroluem consumption in Finland	r=0.65	43yrs	220
Popularity of the first name Mario	r=0.66	43yrs	202
Popularity of the first name Melvin	r=0.66	43yrs	202
Popularity of the first name Mike	r=0.66	43yrs	202
The average number of likes on Extra History YouTube videos	r=0.83	12yrs	194
Number of edits to the Wikipedia article for Thanksgiving	r=0.78	16yrs	188
Physical album shipment volume in the United States	r=0.73	24yrs	184
Remaining Forest Cover in the Brazilian Amazon	r=0.61	36yrs	184
Total likes of Mark Rober YouTube videos	r=0.79	13yrs	174
Total likes of 'Be Smart' science YouTube videos	r=0.81	11yrs	174
Ice cream consumption	r=0.68	32yrs	172
GMO use in cotton	r=0.76	23yrs	171
Popularity of the first name Alisa	r=0.65	43yrs	170
Total number of live births in Australia	r=-0.66	43yrs	170
US birth rates of triplets or more	r=0.7	20yrs	164
US household spending on prescription drugs	r=0.73	23yrs	164
The number of prepress technicians and workers in Wisconsin	r=0.74	20yrs	162
Burglary rates in the US	r=0.57	38yrs	162
Popularity of the first name Aja	r=0.65	43yrs	160
Arson in United States	r=0.56	38yrs	160
Motor vehicle thefts	r=0.56	38yrs	160
Disney movies released	r=0.65	23yrs	159
U.S. intercountry adoptions	r=0.7	23yrs	159
The number of meter readers, utilities in Wisconsin	r=0.72	20yrs	159
The number of data entry keyers in Wisconsin	r=0.72	20yrs	159
Bankruptcy filings in the US	r=0.65	24yrs	158
US Hospital Occupancy Rate	r=0.72	18yrs	157
Average milk produced per cow in the US	r=-0.6	43yrs	157
Career regular season goals scored by Sidney Crosby	r=0.69	21yrs	156
US milk fat used to produce fluid beverage milk	r=0.69	22yrs	156
Petroluem consumption in Denmark	r=0.61	43yrs	154
Viewership count for Days of Our Lives	r=0.51	42yrs	154
Total number of automotive recalls	r=-0.56	43yrs	152
Popularity of the first name Dora	r=0.65	43yrs	150
The marriage rate in Wisconsin	r=0.6	23yrs	149
Asthma attacks in American children	r=0.55	23yrs	146
The divorce rate in Wisconsin	r=0.57	23yrs	146
Kerosene used in Peru	r=0.62	42yrs	144
Total likes of Extra History YouTube videos	r=0.79	12yrs	142
Popularity of the first name Maryann	r=0.65	43yrs	140
Google searches for 'titanic'	r=0.68	20yrs	140
US household spending on new cars	r=0.7	23yrs	139
West Nile Virus Cases	r=0.66	21yrs	138
Asthma prevalence in American children	r=0.54	17yrs	138
Google searches for 'how to treat a snake bite'	r=0.67	20yrs	138
Number of edits to the Wikipedia article for Taylor Swift	r=0.53	17yrs	137
xkcd comics published about engineering	r=0.65	17yrs	136
USA Population	r=-0.6	43yrs	134
Hydopower energy generated in Denmark	r=0.59	42yrs	133
The number of brickmasons in Wisconsin	r=0.72	20yrs	129
Burglaries in Wisconsin	r=0.55	38yrs	129
Popularity of the first name Salvatore	r=0.64	43yrs	128
Total likes of MrBeast's YouTube videos	r=0.74	12yrs	125
US production of cottage cheese	r=0.68	22yrs	125
Hydopower energy generated in Puerto Rico	r=0.59	42yrs	123
Popularity of the first name Sammy	r=0.64	43yrs	118
The number of switchboard operators in Wisconsin	r=0.7	20yrs	116
US milk fat used to produce cottage cheese	r=0.67	22yrs	114
Arson in Wisconsin	r=0.52	38yrs	114
Kerosene used in Brazil	r=0.61	42yrs	113
Total likes of Steve Mould's YouTube videos	r=0.68	15yrs	109
Popularity of the first name Melisa	r=0.64	43yrs	108
The number of painting, coating, and decorating workers in Wisconsin	r=0.7	20yrs	106
US dairy skim solids used to produce cottage cheese	r=0.68	22yrs	104
Kerosene used in El Salvador	r=0.61	42yrs	103
Average length of LEMMiNO YouTube videos	r=0.7	12yrs	99
Popularity of the first name Justin	r=0.63	43yrs	97
The number of postal service machine operators in Wisconsin	r=0.69	20yrs	94
Gasoline pumped in Romania	r=0.6	42yrs	92
US milk fat used to produce frozen dairy products	r=0.66	22yrs	92
Popularity of the first name Erik	r=0.63	43yrs	87
The number of typists in Wisconsin	r=0.69	20yrs	84
Total likes of 3Blue1Brown YouTube videos	r=0.67	9yrs	82
Gasoline pumped in Austria	r=0.59	43yrs	81
Popularity of the first name Leslie	r=0.63	43yrs	77
The number of patternmakers, metal and plastic in Wisconsin	r=0.68	20yrs	73
Kerosene used in Turkiye	r=0.59	43yrs	71
Popularity of the first name Karen	r=0.63	43yrs	67
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.7	22yrs	65
Petroluem consumption in Italy	r=0.58	43yrs	60
Popularity of the first name Steve	r=0.63	43yrs	57
How provocative MinuteEarth YouTube video titles are	r=0.82	11yrs	56
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.69	22yrs	54
Petroluem consumption in Sweden	r=0.58	43yrs	50
The number of fast food cooks in Wisconsin	r=0.68	20yrs	48
Popularity of the first name Darin	r=0.63	43yrs	47
US average milk-fat content of frozen dairy products	r=0.69	22yrs	44
Gasoline pumped in France	r=0.57	43yrs	38
Popularity of the first name Dayna	r=0.63	43yrs	37
The number of housekeepers in Wisconsin	r=0.66	20yrs	36
Kerosene used in Macau	r=0.58	42yrs	28
Popularity of the first name Josh	r=0.63	43yrs	27
The number of file clerks in Wisconsin	r=0.67	20yrs	26
Gasoline pumped in Norway	r=0.57	43yrs	18
Popularity of the first name Janel	r=0.63	43yrs	17
Petroluem consumption in Switzerland	r=0.57	43yrs	8
Popularity of the first name Ervin	r=0.63	43yrs	7
Jet fuel used in Zambia	r=0.58	42yrs	-2
Kerosene used globally	r=0.57	42yrs	-13

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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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