Top variables that correlate with Air quality in Helena, Montana

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Data source: Environmental Protection Agency
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Air quality in Helena, Montana correlates with...

Variable	Correlation	Years	Sys. Score
How cool OverSimplified YouTube video titles are	r=0.87	7yrs	244
How trendy OverSimplified YouTube video titles are	r=0.87	7yrs	244
Gasoline pumped in Falkland Islands	r=0.76	22yrs	186
Electricity generation in U.S. Virgin Islands	r=0.64	34yrs	182
Fossil fuel use in U.S. Virgin Islands	r=0.64	34yrs	182
Popularity of the first name Annmarie	r=0.65	35yrs	162
Popularity of the first name Elissa	r=0.64	35yrs	160
Arson in United States	r=0.58	35yrs	160
Popularity of the first name Kendell	r=0.63	35yrs	159
Violent crime rates	r=0.53	35yrs	158
NASA's budget as a percentage of the total US Federal Budget	r=0.56	36yrs	157
Automotive recalls issued by Nissan North America	r=-0.65	35yrs	156
Burglary rates in the US	r=0.55	35yrs	156
Viewership count for Days of Our Lives	r=0.56	34yrs	154
Remaining Forest Cover in the Brazilian Amazon	r=0.55	35yrs	154
Automotive recalls issued by Mercedes-Benz USA	r=-0.62	35yrs	152
Total number of automotive recalls	r=-0.62	35yrs	150
Liquefied petroleum gas used in Japan	r=0.63	35yrs	149
Automotive recalls for issues with the Air Bags	r=-0.64	33yrs	148
Milk consumption	r=0.6	32yrs	142
Kerosene used in Djibouti	r=0.62	34yrs	136
US dairy skim solids used to produce cream products	r=0.76	7yrs	136
Number of websites on the internet	r=-0.71	28yrs	134
Ice cream consumption	r=0.56	32yrs	134
The distance between Neptune and Mercury	r=0.57	36yrs	134
The number of forest conservation technicians in Montana	r=0.66	18yrs	133
Customer satisfaction with Frontier Communications	r=0.45	28yrs	133
The distance between Neptune and the Sun	r=0.56	36yrs	132
The distance between Neptune and Earth	r=0.56	36yrs	132
Divorce rates in the United Kingdom	r=0.59	25yrs	131
The number of librarians in Montana	r=0.65	16yrs	130
Popularity of the first name Cayla	r=0.62	35yrs	128
Texas Rangers' American League West Division finish position	r=-0.61	35yrs	127
US Annual Tax Revenue	r=-0.62	34yrs	127
Emmy Awards Ceremony viewership	r=0.5	35yrs	126
How 'hip and with it' OverSimplified YouTube video titles are	r=0.78	7yrs	126
Motor vehicle thefts	r=0.55	35yrs	126
Automotive recalls issued by BMW of North America	r=-0.53	35yrs	124
Automotive recalls issued by Hyundai Motor America	r=-0.54	35yrs	124
Carjackings in the US	r=0.47	27yrs	121
Viewership count of American Idol Season Finale	r=0.52	21yrs	120
Popularity of the first name Trever	r=0.62	35yrs	118
The number of physical therapist aides in Montana	r=0.53	20yrs	116
Customer satisfaction with Cox	r=0.48	16yrs	116
Electricity generation in Benin	r=-0.7	34yrs	116
Cigarette Smoking Rate for US adults	r=0.51	21yrs	114
Robberies in the US	r=0.54	35yrs	114
Visitors to SeaWorld Florida	r=0.46	15yrs	113
Final match set count at Chennai Open	r=0.46	27yrs	112
Number of Lawyers in the United States	r=-0.59	34yrs	112
Popularity of the 'roll safe' meme	r=-0.76	18yrs	112
US Barley Production Volume	r=0.47	23yrs	110
Ecopetrol's stock price (EC)	r=0.46	15yrs	110
Drenching rain in Paris	r=-0.79	17yrs	108
Number of edits to the Wikipedia article for Dunning Kruger effect	r=-0.69	18yrs	108
Average SAT score in math	r=-0.54	33yrs	108
Popularity of the first name Nakia	r=0.62	35yrs	108
Fossil fuel use in Benin	r=-0.7	34yrs	106
The distance between Neptune and the moon	r=0.56	36yrs	102
Popularity of the first name Kalee	r=0.62	35yrs	98
Average milk produced per cow in the US	r=-0.58	35yrs	97
Gasoline pumped in Mozambique	r=-0.72	34yrs	96
How good PBS Space Time YouTube video titles are	r=0.76	9yrs	95
US production of cream products	r=0.75	7yrs	86
Popularity of the first name Marlena	r=0.61	35yrs	86
How fun OverSimplified YouTube video titles are	r=0.77	7yrs	84
Petroluem consumption in Mozambique	r=-0.7	34yrs	84
The number of machinists in Montana	r=0.51	20yrs	82
Burglaries in Montana	r=0.48	35yrs	80
Popularity of the first name Rosario	r=0.61	35yrs	76
Jet fuel used in Guinea-Bissau	r=-0.68	34yrs	72
Sherbet consumption	r=0.55	32yrs	68
Average length of MrBeast's YouTube videos	r=-0.82	12yrs	66
Liquefied petroleum gas used in Pakistan	r=-0.69	34yrs	62
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.56	35yrs	58
Cottage cheese consumption	r=0.53	32yrs	55
Total length of MrBeast's YouTube videos	r=-0.81	12yrs	55
Popularity of the first name Killian	r=-0.68	35yrs	52
Brick cheese consumption	r=0.56	27yrs	45
Gasoline pumped in United Kingdom	r=0.59	35yrs	43
How good OverSimplified YouTube video titles are	r=0.75	7yrs	42
Milk-fat consumption	r=-0.63	32yrs	34
Popularity of the first name Brandon	r=0.6	35yrs	34
How trendy PBS Space Time YouTube video titles are	r=0.67	9yrs	32
Gasoline pumped in Italy	r=0.58	35yrs	32
Popularity of the first name Alexandra	r=0.6	35yrs	24
Petroluem consumption in Japan	r=0.58	35yrs	22
Popularity of the first name Jasmine	r=0.6	35yrs	14
Gasoline pumped in Norway	r=0.58	35yrs	12
Popularity of the first name Marissa	r=0.6	35yrs	4
Kerosene used in Norway	r=0.58	35yrs	2
Popularity of the first name Angelica	r=0.6	35yrs	-6
Fossil fuel use in Denmark	r=0.56	34yrs	-10
Popularity of the first name Kirsten	r=0.6	35yrs	-16
Kerosene used globally	r=0.58	34yrs	-20
Popularity of the first name Alberto	r=0.6	35yrs	-26
Petroluem consumption in Italy	r=0.57	35yrs	-30
Popularity of the first name Branden	r=0.6	35yrs	-36
Kerosene used in Montserrat	r=0.58	34yrs	-40
Popularity of the first name Lorena	r=0.6	35yrs	-46
Popularity of the first name Kalyn	r=0.6	35yrs	-56

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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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