Top variables that correlate with Air pollution in Chicago

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Data source: Environmental Protection Agency
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Air pollution in Chicago correlates with...

Variable	Correlation	Years	Has img?
Physical album shipment volume in the United States	r=0.84	24yrs	Yes!
Popularity of the first name Marc	r=0.82	43yrs	No
Kerosene used in Brazil	r=0.81	42yrs	Yes!
Popularity of the first name Jimmy	r=0.79	43yrs	No
Hydopower energy generated in Denmark	r=0.77	42yrs	No
The distance between Neptune and Earth	r=0.76	44yrs	No
Ice cream consumption	r=0.74	32yrs	No
U.S. intercountry adoptions	r=0.72	23yrs	No
Arson in United States	r=0.71	38yrs	Yes!
Motor vehicle thefts in Illinois	r=0.71	38yrs	No
Remaining Forest Cover in the Brazilian Amazon	r=0.7	36yrs	No
Viewership count for Days of Our Lives	r=0.7	42yrs	Yes!
Burglaries in Illinois	r=0.68	38yrs	No
Cottage cheese consumption	r=0.67	32yrs	No
NASA's budget as a percentage of the total US Federal Budget	r=0.62	44yrs	No
Points allowed by the Chicago Bears	r=-0.57	44yrs	No
Total number of live births in Australia	r=-0.78	43yrs	No

Air pollution in Chicago also correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Peru	r=0.81	42yrs	243
Kerosene used in United States	r=0.8	43yrs	242
Burglary rates in the US	r=0.7	38yrs	232
Popularity of the first name Lance	r=0.82	43yrs	226
Popularity of the first name Alisa	r=0.82	43yrs	226
The distance between Neptune and the Sun	r=0.76	44yrs	220
The distance between Neptune and the moon	r=0.76	44yrs	220
US household spending on books	r=0.82	23yrs	207
GMO use in cotton	r=0.79	23yrs	206
The divorce rate in Illinois	r=0.74	23yrs	206
Average milk produced per cow in the US	r=-0.78	43yrs	205
Average number of milk cows in the United States	r=0.58	43yrs	204
Kerosene used in Macau	r=0.78	42yrs	198
Popularity of the first name Sammy	r=0.82	43yrs	196
Total number of automotive recalls	r=-0.71	43yrs	196
Automotive recalls for issues with the Electrical System	r=-0.7	43yrs	194
Automotive recalls for issues with the Power Train	r=-0.7	43yrs	194
Automotive recalls issued by BMW of North America	r=-0.65	43yrs	194
Automotive recalls issued by Nissan North America	r=-0.64	43yrs	192
Customer satisfaction with Southwest Airlines	r=-0.79	28yrs	190
The distance between Neptune and Mercury	r=0.74	44yrs	188
The number of sewing machine operators in Illinois	r=0.78	20yrs	188
Motor vehicle thefts	r=0.67	38yrs	187
Kerosene used globally	r=0.76	42yrs	186
US Employment Rate	r=0.68	33yrs	186
Popularity of the first name Justin	r=0.81	43yrs	184
Patents granted in the US	r=-0.74	41yrs	184
Number of edits to the Wikipedia article for Thanksgiving	r=0.75	16yrs	184
Budget for largest movie production	r=-0.75	43yrs	182
USA Population	r=-0.78	43yrs	182
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.72	43yrs	182
Patents granted in the US	r=-0.74	41yrs	180
Total annual sales of Ford Motors in the United States	r=0.72	23yrs	179
Total likes of 'Be Smart' science YouTube videos	r=0.84	11yrs	179
US Annual Tax Revenue	r=-0.74	42yrs	177
Kerosene used in El Salvador	r=0.76	42yrs	176
AIG's stock price (AIG)	r=0.69	22yrs	176
Lloyds Banking Group's stock price (LYG)	r=0.69	22yrs	176
Popularity of the first name Steve	r=0.81	43yrs	174
Citigroup's stock price (C)	r=0.67	22yrs	174
The marriage rate in Illinois	r=0.67	23yrs	174
US household spending on clothing for men	r=0.77	23yrs	170
Annual US household spending on books	r=0.76	23yrs	168
US household spending on processed fruits	r=0.76	23yrs	168
US household spending on prescription drugs	r=0.76	23yrs	168
Gasoline pumped in France	r=0.76	43yrs	166
US household spending on floor coverings	r=0.75	23yrs	166
US household spending on clothing	r=0.75	23yrs	166
US household spending on clothin for women	r=0.75	23yrs	166
Popularity of the first name Darin	r=0.81	43yrs	164
US milk fat used to produce fluid beverage milk	r=0.78	22yrs	160
Petroluem consumption in Romania	r=0.75	42yrs	154
Popularity of the first name Brant	r=0.81	43yrs	154
Popularity of the first name William	r=0.8	43yrs	142
Jet fuel used in American Samoa	r=0.73	42yrs	141
Robberies in the US	r=0.61	38yrs	138
Popularity of the first name Thomas	r=0.8	43yrs	132
Kerosene used in China	r=0.72	42yrs	130
The distance between Neptune and Venus	r=0.6	44yrs	126
Popularity of the first name Micheal	r=0.8	43yrs	122
Violent crime rates	r=0.57	38yrs	122
Petroluem consumption in Denmark	r=0.72	43yrs	120
Super Bowl TV viewership	r=-0.72	33yrs	120
Milk consumption	r=0.65	32yrs	120
Number of Lawyers in the United States	r=-0.68	34yrs	115
Popularity of the first name Tommy	r=0.8	43yrs	112
Kerosene used in Egypt	r=0.72	42yrs	110
US average milk-fat content of frozen dairy products	r=0.79	22yrs	108
Intel Corporation's annual revenue	r=-0.7	36yrs	107
Popularity of the first name Dianna	r=0.8	43yrs	102
Kerosene used in Norway	r=0.72	43yrs	100
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.78	22yrs	97
Popularity of the first name Maryann	r=0.8	43yrs	92
Kerosene used in Pakistan	r=0.72	42yrs	90
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.77	22yrs	86
Popularity of the first name Joshua	r=0.79	43yrs	81
Gasoline pumped in Austria	r=0.71	43yrs	79
Popularity of the first name Joseph	r=0.79	43yrs	71
Gasoline pumped in Bulgaria	r=0.71	42yrs	68
Popularity of the first name Elizabeth	r=0.79	43yrs	61
Gasoline pumped in Norway	r=0.7	43yrs	58
Popularity of the first name Leslie	r=0.79	43yrs	51
Gasoline pumped in Somalia	r=0.71	42yrs	48
Kerosene used in Thailand	r=0.7	42yrs	36
Popularity of the first name Charity	r=0.79	43yrs	31

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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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