Top variables that correlate with Air quality in Dickinson, North Dakota

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Data source: Environmental Protection Agency
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Air quality in Dickinson, North Dakota correlates with...

Variable	Correlation	Years	Sys. Score
Liquefied petroleum gas used in Slovenia	r=0.9	31yrs	380
Biomass power generated in Taiwan	r=0.88	33yrs	352
Gasoline pumped in Namibia	r=0.9	32yrs	352
US kids in public school	r=0.88	33yrs	334
Number of public school students in 8th grade	r=0.87	33yrs	332
Number of highschoolers in the US	r=0.87	33yrs	332
Liquefied petroleum gas used in Dominica	r=0.85	34yrs	316
Highway diesel consumption in US	r=0.87	20yrs	314
Number of public school students in 10th grade	r=0.86	33yrs	301
Total number of automotive recalls	r=0.7	38yrs	246
Average SAT score in math	r=0.71	33yrs	245
Number of Lawyers in the United States	r=0.81	34yrs	244
Average milk produced per cow in the US	r=0.67	38yrs	242
Number of Registered Vehicles in the US	r=0.82	32yrs	236
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=0.71	38yrs	232
Intel Corporation's annual revenue	r=0.75	36yrs	230
Number of households headed by single fathers in the United States	r=0.77	32yrs	230
UFO sightings in North Dakota	r=0.67	37yrs	226
USA Population	r=0.69	38yrs	222
Annual count of part-time employees in the United States	r=0.72	33yrs	222
Gender pay gap in the U.S.	r=0.7	32yrs	221
Popularity of the first name Simon	r=0.82	38yrs	220
Popularity of the first name Jack	r=0.81	38yrs	219
Popularity of the first name Noah	r=0.8	38yrs	218
The distance between Uranus and Saturn	r=0.77	39yrs	217
US Highway Vehicle Gasoline Consumption	r=0.81	29yrs	212
Violent crime rates	r=-0.86	38yrs	212
Yogurt consumption	r=0.73	32yrs	210
Nuclear power generation in Finland	r=0.83	37yrs	204
Automotive recalls for issues with Exterior Lighting	r=0.63	38yrs	204
Automotive recalls issued by Honda	r=0.59	38yrs	202
Automotive recalls for issues with the Power Train	r=0.61	38yrs	200
Automotive recalls for issues with the Engine And Engine Cooling	r=0.6	38yrs	199
The distance between Uranus and Mercury	r=0.65	39yrs	199
Automotive recalls for issues with the Tires	r=0.59	38yrs	198
Electricity generation in Aruba	r=0.81	36yrs	190
Remaining Forest Cover in the Brazilian Amazon	r=-0.86	36yrs	189
Popularity of the first name Maya	r=0.8	38yrs	188
Patents granted in the US	r=0.62	36yrs	188
Motor vehicle thefts	r=-0.81	38yrs	188
Robberies in the US	r=-0.81	38yrs	188
Customer satisfaction with Verizon	r=-0.75	28yrs	186
Customer satisfaction with Frontier Communications	r=-0.76	28yrs	186
Total Points scored by the New England Patriots in the NFL season	r=0.64	38yrs	185
Number of public school students in 5th grade	r=0.85	33yrs	184
Patents granted in the US	r=0.61	36yrs	183
Automotive recalls issued by Nissan North America	r=0.59	38yrs	182
Gasoline pumped in British Virgin Islands	r=0.83	35yrs	179
Automotive recalls issued by BMW of North America	r=0.57	38yrs	179
Popularity of the first name Carson	r=0.8	38yrs	178
Number of public school students in 7th grade	r=0.85	33yrs	174
American cheese consumption	r=0.69	32yrs	174
Carjackings in the US	r=-0.78	27yrs	174
Automotive recalls for issues with Steering	r=0.56	38yrs	173
Popularity of the first name Madisyn	r=0.81	37yrs	168
Automotive recalls for issues with the Electrical System	r=0.53	38yrs	168
Nuclear power generation in Brazil	r=0.78	37yrs	166
Number of public school students in 6th grade	r=0.84	33yrs	163
Popularity of the first name Emani	r=0.83	33yrs	157
Fossil fuel use in Guatemala	r=0.78	37yrs	156
Number of public school students in 9th grade	r=0.84	33yrs	153
Arson in United States	r=-0.72	38yrs	148
Kerosene used in Zimbabwe	r=0.81	35yrs	146
Popularity of the first name Madelyn	r=0.79	38yrs	146
Number of public school students in 11th grade	r=0.84	33yrs	143
Milk-fat consumption	r=0.68	32yrs	142
Total Sales at Clothing and Accessories Stores	r=0.68	31yrs	137
Popularity of the first name Isabelle	r=0.79	38yrs	136
Burglary rates in the US	r=-0.69	38yrs	136
Petroluem consumption in Netherlands Antilles	r=0.79	37yrs	135
Number of public school students in 4th grade	r=0.83	33yrs	132
Number of Las Vegas Hotel Room Check-Ins	r=0.69	29yrs	131
Frozen yogurt consumption	r=-0.88	32yrs	128
Popularity of the first name Dawson	r=0.79	38yrs	126
US Annual Tax Revenue	r=0.65	37yrs	126
Gasoline pumped in Western Sahara	r=0.79	37yrs	125
NASA's budget appropriation	r=-0.8	39yrs	121
Number of public school students in 12th grade	r=0.81	33yrs	118
Popularity of the first name Eve	r=0.79	38yrs	116
Annual Revenue of Walt Disney Company	r=0.66	32yrs	115
Kerosene used in Ireland	r=0.78	38yrs	114
NASA's budget as a percentage of the total US Federal Budget	r=-0.78	39yrs	109
Popularity of the first name Raina	r=0.79	38yrs	106
Kerosene used in France	r=0.77	38yrs	103
Number of public school students in 3rd grade	r=0.77	33yrs	102
Inflation in the US	r=0.66	31yrs	101
Popularity of the first name Kennedi	r=0.82	34yrs	96
Liquefied petroleum gas used in Poland	r=0.77	38yrs	93
Viewership count for Days of Our Lives	r=-0.69	37yrs	87
Popularity of the first name Madelynn	r=0.79	38yrs	86
Electricity generation in Czechia	r=0.8	29yrs	82
Popularity of the first name Skyla	r=0.79	38yrs	76
Electricity generation in The Bahamas	r=0.75	37yrs	72
Popularity of the first name Emma	r=0.78	38yrs	64
Fossil fuel use in The Bahamas	r=0.75	37yrs	62
Popularity of the first name Zoe	r=0.78	38yrs	54
Fossil fuel use in U.S. Pacific Islands	r=0.75	37yrs	52
Popularity of the first name Kade	r=0.78	38yrs	44
Petroluem consumption in Barbados	r=0.77	37yrs	42
Popularity of the first name Rylie	r=0.78	38yrs	34
Popularity of the first name Elijah	r=0.77	38yrs	23

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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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