Top variables that correlate with Air pollution in Ludington, Michigan

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

Variable	Correlation	Years	Has img?
Total likes of Numberphile YouTube videos	r=0.91	13yrs	Yes!
Google searches for 'how to trap a spider'	r=0.84	17yrs	Yes!
Arson in Michigan	r=0.74	32yrs	No

Air pollution in Ludington, Michigan also correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the 'call me maybe' meme	r=0.95	12yrs	408
The average number of likes on Numberphile YouTube videos	r=0.93	13yrs	394
Average number of comments on Numberphile YouTube videos	r=0.91	13yrs	362
Popularity of the 'gangnam style' meme	r=0.91	12yrs	342
Total comments on Numberphile YouTube videos	r=0.9	13yrs	330
Popularity of the 'harambe' meme	r=0.91	8yrs	303
Total comments on Vihart's YouTube videos	r=0.85	15yrs	284
Google searches for 'Gangnam Style'	r=0.85	12yrs	277
Kerosene used in Peru	r=0.8	31yrs	230
Motor vehicle thefts in Michigan	r=0.72	32yrs	228
Kerosene used in Macau	r=0.75	31yrs	223
Liquefied petroleum gas used in Japan	r=0.74	32yrs	222
The number of movies Gregory Peck appeared in	r=0.76	32yrs	214
Ice cream consumption	r=0.71	31yrs	206
Popularity of the first name Lissette	r=0.76	32yrs	206
Popularity of the first name Kaila	r=0.75	32yrs	204
Popularity of the first name Cayla	r=0.75	32yrs	204
The distance between Neptune and the Sun	r=0.71	33yrs	202
The distance between Neptune and Earth	r=0.71	33yrs	202
The distance between Neptune and the moon	r=0.71	33yrs	202
Arson in United States	r=0.69	32yrs	194
Kerosene used in Seychelles	r=0.74	31yrs	192
Remaining Forest Cover in the Brazilian Amazon	r=0.69	32yrs	192
NASA's budget as a percentage of the total US Federal Budget	r=0.68	33yrs	192
Carjackings in the US	r=0.7	27yrs	190
Viewership count for Days of Our Lives	r=0.68	31yrs	188
Average milk produced per cow in the US	r=-0.7	32yrs	186
Customer satisfaction with Apple	r=-0.76	28yrs	186
Physical album shipment volume in the United States	r=0.72	24yrs	183
Gasoline pumped in Slovenia	r=0.74	31yrs	182
Customer satisfaction with Frontier Communications	r=0.64	28yrs	176
Automotive recalls for issues with Vehicle Speed Control	r=0.61	32yrs	174
Popularity of the first name Kaela	r=0.75	32yrs	174
Milk consumption	r=0.67	31yrs	172
Fossil fuel use in Slovakia	r=0.72	29yrs	170
Google searches for 'Titanic'	r=0.77	16yrs	164
Popularity of the first name Tyron	r=0.75	32yrs	164
USA Population	r=-0.7	32yrs	163
Gasoline pumped in Italy	r=0.72	32yrs	160
US Employment Rate	r=0.61	32yrs	154
Emmy Awards Ceremony viewership	r=0.61	32yrs	154
The divorce rate in Michigan	r=0.62	23yrs	154
Customer satisfaction with Walmart	r=0.6	27yrs	154
The number of janitors and cleaners in Michigan	r=0.68	20yrs	153
Total annual sales of Ford Motors in the United States	r=0.67	23yrs	152
Total number of automotive recalls	r=-0.67	32yrs	152
The marriage rate in Michigan	r=0.62	23yrs	152
Popularity of the first name Jordan	r=0.74	32yrs	152
AIG's stock price (AIG)	r=0.62	22yrs	151
Customer satisfaction with Whirlpool	r=0.57	28yrs	151
The wind speed in Detroit	r=0.61	27yrs	151
Kerosene used in Japan	r=0.72	32yrs	150
Motor vehicle thefts	r=0.66	32yrs	150
Popularity of the first name Cierra	r=0.74	32yrs	142
Total likes of Vihart's YouTube videos	r=0.8	15yrs	142
Kerosene used in Tunisia	r=0.73	31yrs	140
The distance between Neptune and Mercury	r=0.68	33yrs	138
Popularity of the first name Cedric	r=0.74	32yrs	132
Violent crime rates	r=0.6	32yrs	130
Petroluem consumption in Denmark	r=0.71	32yrs	128
US milk fat used to produce frozen dairy products	r=0.66	22yrs	122
Popularity of the first name Katelin	r=0.74	32yrs	122
Petroluem consumption in Japan	r=0.71	32yrs	118
Popularity of the first name Kasandra	r=0.74	32yrs	112
Total comments on minutephysics YouTube videos	r=0.77	13yrs	110
Kerosene used in Norway	r=0.71	32yrs	108
Burglaries in Michigan	r=0.63	32yrs	105
Popularity of the first name Heriberto	r=0.74	32yrs	102
Gasoline pumped in United Kingdom	r=0.71	32yrs	98
Burglary rates in the US	r=0.62	32yrs	94
Popularity of the first name Corrina	r=0.74	32yrs	92
Total length of minutephysics YouTube videos	r=0.68	13yrs	87
Kerosene used in Philippines	r=0.71	31yrs	87
Robberies in Michigan	r=0.61	32yrs	82
Popularity of the first name Johnna	r=0.74	32yrs	82
How good Steve Mould's YouTube video titles are	r=-0.95	15yrs	77
Gasoline pumped in Norway	r=0.7	32yrs	76
Popularity of the first name Nicholas	r=0.73	32yrs	71
Robberies in the US	r=0.6	32yrs	70
How professional-sounding Steve Mould's YouTube video titles are	r=-0.94	15yrs	66
Popularity of the first name Jared	r=0.73	32yrs	61
How cool Steve Mould's YouTube video titles are	r=-0.93	15yrs	55
Popularity of the first name Spencer	r=0.73	32yrs	51
How 'hip and with it' Steve Mould's YouTube video titles are	r=-0.93	15yrs	45
Popularity of the first name Karina	r=0.73	32yrs	41
Fossil fuel use in Greenland	r=0.68	31yrs	36
How fun Steve Mould's YouTube video titles are	r=-0.93	15yrs	35
Popularity of the first name Claudia	r=0.73	32yrs	31
Electricity generation in U.S. Virgin Islands	r=0.68	31yrs	26
How trendy Steve Mould's YouTube video titles are	r=-0.93	15yrs	25
Popularity of the first name Tia	r=0.73	32yrs	21
Fossil fuel use in U.S. Virgin Islands	r=0.68	31yrs	16
Total views on Vihart's YouTube videos	r=0.82	15yrs	15
Popularity of the first name Precious	r=0.73	32yrs	11
Kerosene used in Syria	r=0.7	31yrs	6
How nerdy Steve Mould's YouTube video titles are	r=-0.91	15yrs	3
Petroluem consumption in Germany	r=0.69	32yrs	-5
How insightful Steve Mould's YouTube video titles are	r=-0.91	15yrs	-7

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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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