Top variables that correlate with Air pollution in Buffalo

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

Variable	Correlation	Years	Has img?
Google searches for 'snoop dog'	r=0.85	20yrs	Yes!
Popularity of the first name Bryan	r=0.82	43yrs	Yes!
Hydopower energy generated in Denmark	r=0.8	42yrs	Yes!
Kerosene used in Peru	r=0.79	42yrs	Yes!

Air pollution in Buffalo also correlates with...

Variable	Correlation	Years	Sys. Score
Number of edits to the Wikipedia article for Thanksgiving	r=0.91	16yrs	393
The number of patternmakers, metal and plastic in New York	r=0.86	17yrs	302
Citigroup's stock price (C)	r=0.85	22yrs	250
AIG's stock price (AIG)	r=0.84	22yrs	249
Lloyds Banking Group's stock price (LYG)	r=0.84	22yrs	249
Kerosene used in United States	r=0.81	43yrs	244
Viewership count for Days of Our Lives	r=0.7	42yrs	232
Arson in United States	r=0.7	38yrs	232
Burglary rates in the US	r=0.69	38yrs	230
Physical album shipment volume in the United States	r=0.81	24yrs	226
Popularity of the first name Leslie	r=0.81	43yrs	224
The distance between Neptune and the Sun	r=0.77	44yrs	222
The distance between Neptune and Earth	r=0.77	44yrs	222
The distance between Neptune and the moon	r=0.77	44yrs	222
Popularity of the first name Lance	r=0.8	43yrs	222
US Employment Rate	r=0.69	33yrs	218
Ice cream consumption	r=0.77	32yrs	216
GMO use in cotton	r=0.83	23yrs	212
Kerosene used globally	r=0.78	42yrs	208
Average milk produced per cow in the US	r=-0.77	43yrs	204
Kerosene used in El Salvador	r=0.78	42yrs	198
Total number of automotive recalls	r=-0.72	43yrs	198
Automotive recalls issued by BMW of North America	r=-0.69	43yrs	198
Automotive recalls for issues with the Electrical System	r=-0.7	43yrs	194
Google searches for 'harry potter'	r=0.81	20yrs	194
Popularity of the first name Melvin	r=0.8	43yrs	192
Remaining Forest Cover in the Brazilian Amazon	r=0.66	36yrs	192
NASA's budget as a percentage of the total US Federal Budget	r=0.61	44yrs	192
Automotive recalls for issues with the Power Train	r=-0.68	43yrs	192
Automotive recalls issued by Chrysler	r=-0.63	43yrs	192
The number of postal service machine operators in New York	r=0.81	20yrs	192
The number of tool and die makers in New York	r=0.81	20yrs	192
Motor vehicle thefts	r=0.63	38yrs	191
U.S. intercountry adoptions	r=0.77	23yrs	190
The distance between Neptune and Mercury	r=0.75	44yrs	189
US production of cottage cheese	r=0.77	22yrs	188
Google searches for 'learn spanish'	r=0.77	20yrs	188
Jet fuel used in American Samoa	r=0.76	42yrs	186
Total number of live births in Australia	r=-0.82	43yrs	186
Patents granted in the US	r=-0.75	41yrs	184
Popularity of the first name Charity	r=0.8	43yrs	182
USA Population	r=-0.77	43yrs	181
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.7	43yrs	180
Patents granted in the US	r=-0.74	41yrs	180
Budget for largest movie production	r=-0.72	43yrs	179
Barclays' stock price (BCS)	r=0.77	22yrs	178
US Annual Tax Revenue	r=-0.74	42yrs	177
Kerosene used in Brazil	r=0.76	42yrs	176
Automotive recalls for issues with Vehicle Speed Control	r=0.53	43yrs	174
The divorce rate in New York	r=0.66	23yrs	174
Popularity of the first name Arlene	r=0.8	43yrs	172
US birth rates of triplets or more	r=0.75	20yrs	171
US household spending on prescription drugs	r=0.77	23yrs	170
Gasoline pumped in France	r=0.74	43yrs	164
Popularity of the first name Jenifer	r=0.8	43yrs	162
The number of computer hardware engineers in New York	r=0.79	20yrs	160
Burglaries in New York	r=0.62	38yrs	160
US dairy skim solids used to produce cottage cheese	r=0.77	22yrs	157
Gasoline pumped in Austria	r=0.73	43yrs	152
Popularity of the first name Darin	r=0.8	43yrs	152
The number of chemists in New York	r=0.78	20yrs	148
US milk fat used to produce fluid beverage milk	r=0.74	22yrs	144
Kerosene used in Macau	r=0.74	42yrs	142
Popularity of the first name Brant	r=0.8	43yrs	142
Orange's stock price (ORAN)	r=0.72	22yrs	141
Google searches for 'Titanic'	r=0.81	16yrs	140
The number of data entry keyers in New York	r=0.78	20yrs	138
Violent crime rates	r=0.52	38yrs	134
Gasoline pumped in Norway	r=0.73	43yrs	132
Popularity of the first name Alisa	r=0.79	43yrs	131
The number of electrical and electronics repairers, commercial and industrial equipment in New York	r=0.78	20yrs	128
Average number of milk cows in the United States	r=0.54	43yrs	128
General Electric's stock price (GE)	r=0.66	22yrs	125
Popularity of the first name Dianna	r=0.79	43yrs	121
Petroluem consumption in Denmark	r=0.72	43yrs	120
Global plane crashes	r=-0.63	43yrs	117
The number of dietetic technicians in New York	r=0.77	20yrs	116
Sherbet consumption	r=0.69	32yrs	114
Popularity of the first name Leann	r=0.79	43yrs	111
Kerosene used in Greece	r=0.71	42yrs	108
The number of heat treating equipment setters, operators, and tenders, metal and plastic in New York	r=0.77	20yrs	106
Popularity of the first name Maryann	r=0.79	43yrs	101
Petroluem consumption in Italy	r=0.7	43yrs	98
The number of paper goods machine setters, operators, and tenders in New York	r=0.77	20yrs	96
Popularity of the first name Joshua	r=0.78	43yrs	90
Kerosene used in Norway	r=0.7	43yrs	88
Popularity of the first name Joseph	r=0.78	43yrs	80
Kerosene used in Syria	r=0.71	42yrs	78
Popularity of the first name William	r=0.78	43yrs	70
Gasoline pumped in Albania	r=0.7	42yrs	66
Popularity of the first name Mario	r=0.78	43yrs	60
Petroluem consumption in Antarctica	r=0.7	42yrs	56
Popularity of the first name Marc	r=0.78	43yrs	50
Kerosene used in Romania	r=0.7	42yrs	46
Popularity of the first name Tommy	r=0.78	43yrs	40
Gasoline pumped in Bulgaria	r=0.68	42yrs	34
Popularity of the first name Dayna	r=0.78	43yrs	30

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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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