Top variables that correlate with Air pollution in Niles, Michigan

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Data source: Environmental Protection Agency
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Air pollution in Niles, Michigan correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the 'call me maybe' meme	r=0.93	11yrs	344
Jet fuel used in Saint Vincent/Grenadines	r=0.88	24yrs	340
Popularity of the first name Nautica	r=0.86	31yrs	324
Popularity of the 'gangnam style' meme	r=0.9	11yrs	290
Associates degrees awarded in Business and management	r=0.89	11yrs	262
Associates degrees awarded in Education	r=0.86	11yrs	258
Gasoline pumped in Eritrea	r=0.85	28yrs	235
Arson in Michigan	r=0.74	32yrs	232
Kerosene used in Seychelles	r=0.79	31yrs	229
Popularity of the first name Jailene	r=0.83	31yrs	215
Popularity of the first name Raekwon	r=0.79	29yrs	207
Customer satisfaction with Frontier Communications	r=0.7	28yrs	206
Jet fuel used in Gabon	r=0.77	31yrs	196
Carjackings in the US	r=0.74	27yrs	196
Customer satisfaction with Apple	r=-0.86	28yrs	196
Total comments on Vihart's YouTube videos	r=0.81	14yrs	192
Motor vehicle thefts in Michigan	r=0.67	32yrs	191
Viewership count for Days of Our Lives	r=0.69	31yrs	190
Total likes of Vihart's YouTube videos	r=0.79	14yrs	190
Remaining Forest Cover in the Brazilian Amazon	r=0.65	32yrs	186
NASA's budget as a percentage of the total US Federal Budget	r=0.65	32yrs	186
Customer satisfaction with Dillard's	r=-0.77	27yrs	186
Gasoline pumped in Slovenia	r=0.76	31yrs	184
Customer satisfaction with Verizon	r=0.65	28yrs	178
Gasoline pumped in Somalia	r=0.76	31yrs	174
Popularity of the first name Stephon	r=0.74	32yrs	172
Processed cheese consumption	r=0.7	27yrs	170
Average length of SciShow Space YouTube videos	r=0.77	9yrs	166
US household spending on transportation	r=0.74	23yrs	165
Number of active magazines in the United States	r=-0.89	15yrs	164
Petroluem consumption in Eritrea	r=0.77	28yrs	163
Google searches for 'Titanic'	r=0.77	15yrs	163
Popularity of the first name Armand	r=0.74	32yrs	162
Physical album shipment volume in the United States	r=0.71	24yrs	162
The distance between Neptune and Mercury	r=0.65	32yrs	162
Google searches for 'how to trap a spider'	r=0.75	16yrs	161
The distance between Neptune and the Sun	r=0.64	32yrs	160
The distance between Neptune and Earth	r=0.64	32yrs	160
Total annual sales of Ford Motors in the United States	r=0.71	23yrs	158
The marriage rate in Michigan	r=0.64	23yrs	155
Career regular season goals scored by Sidney Crosby	r=0.68	21yrs	154
Italian-type cheese consumption	r=-0.78	27yrs	154
Hispanic cheese consumption	r=-0.8	26yrs	154
Google searches for 'Gangnam Style'	r=0.82	11yrs	152
Customer satisfaction with Kohl's	r=0.64	19yrs	152
Jet fuel used in Bosnia and Herzegovina	r=0.75	30yrs	152
Popularity of the first name Jarrod	r=0.73	32yrs	151
Customer satisfaction with Whirlpool	r=0.56	28yrs	150
US Employment Rate	r=0.57	32yrs	148
The divorce rate in Michigan	r=0.58	23yrs	148
Customer satisfaction with gas stations	r=0.56	27yrs	148
AIG's stock price (AIG)	r=0.6	21yrs	147
Johnson Controls International's stock price (JCI)	r=0.6	21yrs	147
Number of edits to the Wikipedia article for Thanksgiving	r=0.59	16yrs	145
Lloyds Banking Group's stock price (LYG)	r=0.58	21yrs	144
Kerosene used in Peru	r=0.74	31yrs	142
Popularity of the first name Leann	r=0.73	32yrs	141
Arson in United States	r=0.62	32yrs	134
Average number of comments on Numberphile YouTube videos	r=0.73	12yrs	134
Kerosene used in Portugal	r=0.73	32yrs	131
Popularity of the first name Corrina	r=0.73	32yrs	131
The distance between Neptune and the moon	r=0.64	32yrs	130
Mozzarella cheese consumption	r=-0.78	27yrs	124
Popularity of the first name Tia	r=0.72	32yrs	120
Motor vehicle thefts	r=0.6	32yrs	120
Kerosene used in Cabo Verde	r=0.72	31yrs	118
The average number of likes on Numberphile YouTube videos	r=0.68	12yrs	116
Average milk produced per cow in the US	r=-0.64	32yrs	110
Popularity of the first name Jordon	r=0.72	32yrs	110
Kerosene used in Pakistan	r=0.72	31yrs	108
Violent crime rates	r=0.55	32yrs	108
Total length of Vihart's YouTube videos	r=0.66	14yrs	105
Popularity of the first name Kacie	r=0.72	32yrs	100
Jet fuel used in Sierra Leone	r=0.72	31yrs	98
Burglaries in Michigan	r=0.57	32yrs	96
How trendy Casually Explained YouTube video titles are	r=-1	8yrs	95
Natural cheese consumption	r=-0.76	27yrs	94
Popularity of the first name Kaela	r=0.72	32yrs	90
Kerosene used in Dominica	r=0.71	31yrs	87
How good Casually Explained YouTube video titles are	r=-1	8yrs	85
Burglary rates in the US	r=0.56	32yrs	84
Popularity of the first name Lissette	r=0.72	32yrs	80
Kerosene used in Mauritius	r=0.71	31yrs	77
How fun Casually Explained YouTube video titles are	r=-0.99	8yrs	74
Popularity of the first name Jacinda	r=0.72	32yrs	70
Kerosene used in Tunisia	r=0.71	31yrs	67
How nerdy Casually Explained YouTube video titles are	r=-0.98	8yrs	63
Popularity of the first name Jared	r=0.71	32yrs	58
How professional-sounding Casually Explained YouTube video titles are	r=-0.98	8yrs	53
Popularity of the first name Sabrina	r=0.71	32yrs	48
Total views on Vihart's YouTube videos	r=0.81	14yrs	42
Popularity of the first name Chynna	r=0.71	32yrs	38
Total length of minutephysics YouTube videos	r=0.63	12yrs	28
Popularity of the first name Kassie	r=0.71	32yrs	28
Kerosene used in Macau	r=0.7	31yrs	26
Popularity of the first name Justen	r=0.71	32yrs	18
Total comments on Numberphile YouTube videos	r=0.61	12yrs	16
Kerosene used in Syria	r=0.7	31yrs	16
Popularity of the first name Bethanie	r=0.71	32yrs	8
Fossil fuel use in Slovakia	r=0.69	29yrs	5
Petroluem consumption in Denmark	r=0.68	32yrs	-6

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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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