Top variables that correlate with Air pollution in Beaver Dam, Wisconsin

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

Variable	Correlation	Years	Has img?
Kerosene used in Norway	r=0.82	40yrs	Yes!

Air pollution in Beaver Dam, Wisconsin also correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in United States	r=0.8	40yrs	240
Kerosene used in Turkiye	r=0.79	40yrs	238
Viewership count for Days of Our Lives	r=0.75	39yrs	237
Burglary rates in the US	r=0.73	38yrs	236
Remaining Forest Cover in the Brazilian Amazon	r=0.73	36yrs	232
Arson in United States	r=0.7	38yrs	232
Burglaries in Wisconsin	r=0.7	38yrs	232
Popularity of the first name Leann	r=0.82	40yrs	222
Popularity of the first name Bryon	r=0.82	40yrs	222
Popularity of the first name Rena	r=0.81	40yrs	221
Average number of milk cows in the United States	r=0.63	40yrs	208
Kerosene used in Romania	r=0.79	39yrs	207
The distance between Neptune and Earth	r=0.67	41yrs	204
The distance between Neptune and Mercury	r=0.67	41yrs	204
The distance between Neptune and the moon	r=0.67	41yrs	204
Average milk produced per cow in the US	r=-0.76	40yrs	200
Gasoline pumped in Bulgaria	r=0.78	39yrs	196
Total number of automotive recalls	r=-0.71	40yrs	194
Popularity of the first name Natasha	r=0.8	40yrs	190
Carjackings in the US	r=0.69	27yrs	189
Physical album shipment volume in the United States	r=0.75	24yrs	188
Automotive recalls for issues with the Power Train	r=-0.64	40yrs	185
Kerosene used in Portugal	r=0.76	40yrs	184
Popularity of the first name Cassie	r=0.8	40yrs	180
Highest Nielsen rating for a TV show each year	r=0.61	38yrs	180
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.73	40yrs	180
USA Population	r=-0.76	40yrs	177
The marriage rate in Wisconsin	r=0.68	23yrs	176
Ice cream consumption	r=0.69	32yrs	174
Patents granted in the US	r=-0.67	38yrs	174
Total likes of 'Be Smart' science YouTube videos	r=0.81	11yrs	174
Budget for largest movie production	r=-0.69	40yrs	173
Petroluem consumption in Bulgaria	r=0.76	39yrs	172
The distance between Neptune and the Sun	r=0.66	41yrs	172
US Annual Tax Revenue	r=-0.72	39yrs	172
Number of Lawyers in the United States	r=-0.69	34yrs	172
The average number of likes on Extra History YouTube videos	r=0.79	12yrs	172
Popularity of the first name Jackie	r=0.8	40yrs	170
Total number of live births in Australia	r=-0.69	40yrs	170
Patents granted in the US	r=-0.66	38yrs	170
US household spending on prescription drugs	r=0.76	23yrs	168
Total likes of Extra History YouTube videos	r=0.75	12yrs	166
US birth rates of triplets or more	r=0.7	20yrs	164
The number of chefs and head cooks in Wisconsin	r=0.74	20yrs	162
Kerosene used in Egypt	r=0.75	39yrs	161
Popularity of the first name Dora	r=0.8	40yrs	160
Motor vehicle thefts	r=0.62	38yrs	160
West Nile Virus Cases	r=0.71	21yrs	160
Google searches for 'titanic'	r=0.72	20yrs	160
The number of data entry keyers in Wisconsin	r=0.72	20yrs	159
The number of prepress technicians and workers in Wisconsin	r=0.72	20yrs	159
Automotive recalls issued by BMW of North America	r=-0.63	40yrs	158
Automotive recalls issued by Nissan North America	r=-0.6	40yrs	156
The wind speed in Milwaukee	r=0.57	38yrs	156
Kerosene used in Peru	r=0.75	39yrs	151
Popularity of the first name Janna	r=0.8	40yrs	150
Kerosene used in Brazil	r=0.74	39yrs	140
Popularity of the first name Maryann	r=0.8	40yrs	140
Processed cheese consumption	r=0.69	27yrs	139
Total likes of Mark Rober YouTube videos	r=0.71	13yrs	132
Gasoline pumped in France	r=0.74	40yrs	130
Popularity of the first name Sonja	r=0.8	40yrs	130
Violent crime rates	r=0.54	38yrs	128
Milk consumption	r=0.64	32yrs	128
The number of meter readers, utilities in Wisconsin	r=0.71	20yrs	128
Popularity of the first name Chadwick	r=0.8	40yrs	120
Kerosene used in Mexico	r=0.75	37yrs	119
The number of fast food cooks in Wisconsin	r=0.7	20yrs	116
Total likes of MrBeast's YouTube videos	r=0.68	12yrs	116
The distance between Uranus and Mercury	r=-0.71	41yrs	114
Gasoline pumped in Albania	r=0.73	39yrs	108
Popularity of the first name Justin	r=0.79	40yrs	108
US production of cottage cheese	r=0.7	22yrs	108
Bankruptcy filings in the US	r=0.63	24yrs	106
The number of typists in Wisconsin	r=0.7	20yrs	106
Total likes of 3Blue1Brown YouTube videos	r=0.7	9yrs	106
Arson in Wisconsin	r=0.59	38yrs	105
Total annual sales of Ford Motors in the United States	r=0.69	23yrs	99
Kerosene used in Australia	r=0.72	40yrs	98
Popularity of the first name Brian	r=0.79	40yrs	98
US dairy skim solids used to produce cottage cheese	r=0.7	22yrs	96
The number of brickmasons in Wisconsin	r=0.7	20yrs	96
Robberies in the US	r=0.58	38yrs	94
Kerosene used in Bolivia	r=0.73	39yrs	88
Popularity of the first name Tiffany	r=0.79	40yrs	88
The number of patternmakers, metal and plastic in Wisconsin	r=0.7	20yrs	86
Gasoline pumped in Somalia	r=0.73	39yrs	78
Popularity of the first name Meredith	r=0.79	40yrs	78
The number of dishwashers in Wisconsin	r=0.69	20yrs	74
Popularity of the first name Jaclyn	r=0.79	40yrs	68
Kerosene used in Nicaragua	r=0.72	39yrs	66
The number of switchboard operators in Wisconsin	r=0.69	20yrs	64
Popularity of the first name Jerome	r=0.79	40yrs	58
Kerosene used in Argentina	r=0.71	39yrs	55
The number of tool and die makers in Wisconsin	r=0.69	20yrs	54
Popularity of the first name Donna	r=0.79	40yrs	48
Kerosene used in Macau	r=0.71	39yrs	45
Popularity of the first name Kelley	r=0.79	40yrs	38
Kerosene used in Venezuela	r=0.71	39yrs	35
Popularity of the first name Jarrod	r=0.79	40yrs	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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