Top variables that correlate with Air pollution in Wabash, Indiana

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Data source: Environmental Protection Agency
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Air pollution in Wabash, Indiana correlates with...

Variable	Correlation	Years	Has img?
Customer satisfaction with Frontier Communications	r=0.79	28yrs	Yes!
Arson in United States	r=0.72	33yrs	Yes!

Air pollution in Wabash, Indiana also correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the 'call me maybe' meme	r=0.94	12yrs	376
Popularity of the first name Corrina	r=0.88	33yrs	330
Total comments on Vihart's YouTube videos	r=0.87	15yrs	328
Popularity of the 'gangnam style' meme	r=0.9	12yrs	310
Average number of comments on Numberphile YouTube videos	r=0.87	13yrs	306
The average number of likes on Numberphile YouTube videos	r=0.86	13yrs	304
Google searches for 'how to trap a spider'	r=0.85	17yrs	302
Carjackings in the US	r=0.82	27yrs	238
Viewership count for Days of Our Lives	r=0.76	32yrs	232
Gasoline pumped in Eritrea	r=0.83	28yrs	232
Remaining Forest Cover in the Brazilian Amazon	r=0.73	33yrs	230
Arson in Indiana	r=0.72	33yrs	230
Kerosene used in Cabo Verde	r=0.77	32yrs	227
Kerosene used in Dominica	r=0.77	32yrs	227
NASA's budget as a percentage of the total US Federal Budget	r=0.7	34yrs	226
Popularity of the first name Quinton	r=0.8	33yrs	212
Popularity of the first name Stephon	r=0.8	33yrs	212
Customer satisfaction with Verizon	r=0.72	28yrs	208
The distance between Neptune and the Sun	r=0.72	34yrs	204
The distance between Neptune and Earth	r=0.72	34yrs	204
The distance between Neptune and the moon	r=0.72	34yrs	204
Motor vehicle thefts in Indiana	r=0.72	33yrs	200
Petroluem consumption in Djibouti	r=0.76	32yrs	196
Google searches for 'Titanic'	r=0.84	16yrs	194
Average milk produced per cow in the US	r=-0.71	33yrs	188
Total number of automotive recalls	r=-0.7	33yrs	186
Petroluem consumption in Denmark	r=0.74	33yrs	184
Popularity of the first name Armand	r=0.8	33yrs	182
Petroluem consumption in Nauru	r=0.75	32yrs	174
Customer satisfaction with Walmart	r=0.63	27yrs	174
The distance between Neptune and Mercury	r=0.71	34yrs	173
Violent crime rates	r=0.67	33yrs	172
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.72	33yrs	172
Number of Lawyers in the United States	r=-0.7	33yrs	172
Milk consumption	r=0.67	32yrs	172
Frozen yogurt consumption	r=0.68	32yrs	172
Popularity of the first name Lissette	r=0.79	33yrs	171
Customer satisfaction with Whirlpool	r=0.6	28yrs	170
Google searches for 'Gangnam Style'	r=0.83	12yrs	169
USA Population	r=-0.73	33yrs	167
Gender pay gap in the U.S.	r=-0.7	32yrs	166
Total likes of Numberphile YouTube videos	r=0.84	13yrs	166
Number of Registered Vehicles in the US	r=-0.72	32yrs	165
Gasoline pumped in North Macedonia	r=0.76	30yrs	164
Popularity of the first name Suzanna	r=0.79	33yrs	161
Total comments on Numberphile YouTube videos	r=0.84	13yrs	156
Kerosene used in Philippines	r=0.74	32yrs	152
US Employment Rate	r=0.58	33yrs	151
Emmy Awards Ceremony viewership	r=0.57	33yrs	150
Number of public school students in 11th grade	r=-0.73	33yrs	150
Number of public school students in 12th grade	r=-0.73	33yrs	150
Customer satisfaction with Apple	r=-0.7	28yrs	150
Popularity of the first name Miranda	r=0.78	33yrs	150
Car crashes in the US	r=0.64	24yrs	148
Automotive recalls for issues with the Power Train	r=-0.63	33yrs	147
Number of highschoolers in the US	r=-0.7	33yrs	147
Automotive recalls for issues with Vehicle Speed Control	r=0.51	33yrs	146
Total likes of Vihart's YouTube videos	r=0.83	15yrs	146
Motor vehicle thefts	r=0.68	33yrs	144
Kerosene used in Saint Kitts and Nevis	r=0.73	32yrs	141
Processed cheese consumption	r=0.7	27yrs	140
Popularity of the first name Tia	r=0.78	33yrs	140
Gasoline pumped in North Korea	r=0.72	32yrs	130
Popularity of the first name Marquise	r=0.78	33yrs	130
Burglary rates in the US	r=0.65	33yrs	129
Kerosene used in Norway	r=0.72	33yrs	120
Popularity of the first name Tamera	r=0.78	33yrs	120
Robberies in the US	r=0.64	33yrs	118
Italian-type cheese consumption	r=-0.76	27yrs	112
Kerosene used in Peru	r=0.72	32yrs	110
Popularity of the first name Kaitlin	r=0.77	33yrs	108
Total length of minutephysics YouTube videos	r=0.73	13yrs	104
Yogurt consumption	r=-0.7	32yrs	100
Kerosene used in Uruguay	r=0.72	32yrs	100
Popularity of the first name Myranda	r=0.77	33yrs	98
Total comments on minutephysics YouTube videos	r=0.71	13yrs	92
Mozzarella cheese consumption	r=-0.75	27yrs	90
Liquefied petroleum gas used in Denmark	r=0.71	33yrs	89
Popularity of the first name Tiarra	r=0.78	32yrs	88
Gasoline pumped in Italy	r=0.71	33yrs	79
Total views on Vihart's YouTube videos	r=0.84	15yrs	78
Popularity of the first name Justen	r=0.77	33yrs	78
Burglaries in Indiana	r=0.57	33yrs	77
Liquefied petroleum gas used in Japan	r=0.71	33yrs	69
How professional-sounding Steve Mould's YouTube video titles are	r=-0.95	15yrs	67
Popularity of the first name Rachel	r=0.76	33yrs	66
Gasoline pumped in France	r=0.7	33yrs	58
Popularity of the first name Kirsten	r=0.76	33yrs	56
How nerdy MrBeast's YouTube video titles are	r=0.84	12yrs	55
Kerosene used in Madagascar	r=0.71	32yrs	48
Popularity of the first name Maranda	r=0.76	32yrs	46
How nerdy Steve Mould's YouTube video titles are	r=-0.9	15yrs	42
Kerosene used in Thailand	r=0.71	32yrs	38
Popularity of the first name Kaela	r=0.76	33yrs	36
How fun Steve Mould's YouTube video titles are	r=-0.9	15yrs	32
Gasoline pumped in United Kingdom	r=0.7	33yrs	28
Popularity of the first name Anfernee	r=0.77	31yrs	26
Total length of Vihart's YouTube videos	r=0.63	15yrs	22
Popularity of the first name Ashli	r=0.76	33yrs	16

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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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