Top variables that correlate with Air pollution in Charleston, South Carolina

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Data source: Environmental Protection Agency
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Air pollution in Charleston, South Carolina correlates with...

Variable	Correlation	Years	Has img?
Google searches for 'snoop dog'	r=0.87	20yrs	Yes!

Air pollution in Charleston, South Carolina also correlates with...

Variable	Correlation	Years	Sys. Score
Gasoline pumped in Serbia	r=0.91	16yrs	367
Citigroup's stock price (C)	r=0.86	22yrs	357
AIG's stock price (AIG)	r=0.86	22yrs	357
Popularity of the 'all your base' meme	r=0.89	18yrs	345
Popularity of the 'leeroy jenkins' meme	r=0.87	18yrs	342
Google searches for 'learn spanish'	r=0.87	20yrs	338
Jet fuel used in Saint Vincent/Grenadines	r=0.85	24yrs	336
Popularity of the 'harambe' meme	r=0.86	8yrs	266
Lloyds Banking Group's stock price (LYG)	r=0.82	22yrs	246
Hydopower energy generated in Puerto Rico	r=0.75	42yrs	237
Remaining Forest Cover in the Brazilian Amazon	r=0.75	36yrs	236
Burglary rates in the US	r=0.73	38yrs	236
Arson in United States	r=0.72	38yrs	234
Viewership count for Days of Our Lives	r=0.69	42yrs	231
Physical album shipment volume in the United States	r=0.84	24yrs	231
Google searches for 'black holes'	r=0.85	20yrs	230
The number of compensation and benefits managers in South Carolina	r=0.84	19yrs	226
US Employment Rate	r=0.72	33yrs	222
Popularity of the first name Christa	r=0.77	43yrs	218
Popularity of the first name Jaimie	r=0.76	43yrs	216
Popularity of the first name Andrew	r=0.75	43yrs	215
Ice cream consumption	r=0.75	32yrs	213
The distance between Neptune and the Sun	r=0.68	44yrs	208
The distance between Neptune and Earth	r=0.68	44yrs	208
The distance between Neptune and the moon	r=0.68	44yrs	208
The marriage rate in South Carolina	r=0.76	23yrs	208
Sherbet consumption	r=0.7	32yrs	206
Kerosene used in Nicaragua	r=0.75	42yrs	204
US household spending on clothing for men	r=0.8	23yrs	204
US household spending on clothin for women	r=0.8	23yrs	204
US household spending on clothing	r=0.79	23yrs	202
The number of legislators in South Carolina	r=0.82	20yrs	196
Average milk produced per cow in the US	r=-0.67	43yrs	194
Motor vehicle thefts	r=0.65	38yrs	194
The number of foresters in South Carolina	r=0.81	20yrs	192
Kerosene used in Macau	r=0.73	42yrs	191
NASA's budget as a percentage of the total US Federal Budget	r=0.58	44yrs	188
Total number of automotive recalls	r=-0.63	43yrs	188
Customer satisfaction with Dillard's	r=-0.79	27yrs	188
Popularity of the first name Krista	r=0.75	43yrs	185
Total annual sales of Ford Motors in the United States	r=0.76	23yrs	185
NBA Season MVP's Age	r=0.68	32yrs	185
Barclays' stock price (BCS)	r=0.79	22yrs	182
Google searches for 'attacked by a squirrel'	r=0.77	20yrs	181
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.71	43yrs	181
Number of edits to the Wikipedia article for Benjamin Franklin	r=0.69	22yrs	181
Highest Nielsen rating for a TV show each year	r=0.58	41yrs	179
Gasoline pumped in France	r=0.7	43yrs	178
Number of edits to the Wikipedia article for Britney Spears	r=0.66	23yrs	178
The distance between Neptune and Mercury	r=0.67	44yrs	177
Popularity of the first name Kassie	r=0.75	43yrs	175
Kerosene used in Peru	r=0.71	42yrs	168
Weyerhaeuser Company's stock price (WY)	r=0.75	22yrs	166
Popularity of the first name Shane	r=0.74	43yrs	164
The number of judges in South Carolina	r=0.81	20yrs	162
Burglaries in South Carolina	r=0.64	38yrs	162
US milk fat used to produce fluid beverage milk	r=0.78	22yrs	160
Kerosene used in Puerto Rico	r=0.71	42yrs	158
Google searches for 'Panama Canal'	r=0.82	20yrs	156
Popularity of the first name Kendra	r=0.74	43yrs	154
Sumitomo Mitsui Financial Group's stock price (SMFG)	r=0.76	20yrs	154
The number of counter and rental clerks in South Carolina	r=0.81	20yrs	152
Kerosene used in Switzerland	r=0.7	43yrs	148
Robberies in the US	r=0.61	38yrs	148
Popularity of the first name Ashely	r=0.74	43yrs	144
The number of pipelayers in South Carolina	r=0.81	20yrs	142
Google searches for 'panama canal'	r=0.79	20yrs	141
Kerosene used in Egypt	r=0.69	42yrs	135
Violent crime rates	r=0.58	38yrs	134
Popularity of the first name Justin	r=0.73	43yrs	132
The number of brickmasons in South Carolina	r=0.79	20yrs	130
General Electric's stock price (GE)	r=0.73	22yrs	126
Jet fuel used in Sierra Leone	r=0.69	42yrs	125
Popularity of the first name Vanessa	r=0.73	43yrs	122
Google searches for 'cia hotline'	r=0.69	20yrs	119
The number of recreational therapists in South Carolina	r=0.79	19yrs	118
Kerosene used in Syria	r=0.69	42yrs	115
Popularity of the first name Katie	r=0.73	43yrs	112
HSBC Holdings' stock price (HSBC)	r=0.73	22yrs	112
Hydopower energy generated in Denmark	r=0.66	42yrs	104
Popularity of the first name Whitney	r=0.73	43yrs	102
UBS Group AG's stock price (UBS)	r=0.73	22yrs	102
Kerosene used in Brazil	r=0.68	42yrs	94
Popularity of the first name Terrell	r=0.73	43yrs	92
ING Groep's stock price (ING)	r=0.73	22yrs	92
Jet fuel used in Syria	r=0.68	42yrs	84
Popularity of the first name Sade	r=0.76	38yrs	82
Orange's stock price (ORAN)	r=0.72	22yrs	81
Kerosene used in United States	r=0.67	43yrs	73
Popularity of the first name Nadine	r=0.73	43yrs	72
NatWest Group's stock price (NWG)	r=0.74	16yrs	68
Kerosene used in North Korea	r=0.67	42yrs	62
Popularity of the first name Sammy	r=0.73	43yrs	62
Gasoline pumped in Norway	r=0.66	43yrs	52
Popularity of the first name Thomas	r=0.72	43yrs	50
Kerosene used in Pakistan	r=0.67	42yrs	42
Popularity of the first name Sean	r=0.72	43yrs	40
Gasoline pumped in United Kingdom	r=0.66	43yrs	32
Popularity of the first name Cory	r=0.72	43yrs	30
Popularity of the first name Marc	r=0.72	43yrs	20

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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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