Top variables that correlate with Air pollution in Vineland, New Jersey

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Data source: Environmental Protection Agency
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Air pollution in Vineland, New Jersey correlates with...

Variable	Correlation	Years	Sys. Score
Google searches for 'Titanic'	r=0.87	16yrs	304
How provocative MinuteEarth YouTube video titles are	r=0.86	11yrs	262
Violent crime rates	r=0.69	38yrs	250
Motor vehicle thefts in New Jersey	r=0.8	38yrs	246
Remaining Forest Cover in the Brazilian Amazon	r=0.81	36yrs	244
Arson in United States	r=0.78	38yrs	244
Viewership count for Days of Our Lives	r=0.75	42yrs	240
Kerosene used in Egypt	r=0.77	42yrs	237
Jet fuel used in French Polynesia	r=0.76	42yrs	236
Jet fuel used in Afghanistan	r=0.75	42yrs	234
NASA's budget as a percentage of the total US Federal Budget	r=0.63	44yrs	226
Popularity of the first name Ashley	r=0.82	43yrs	226
Popularity of the first name Ashely	r=0.8	43yrs	222
Popularity of the first name Ashlie	r=0.79	43yrs	221
Arson in New Jersey	r=0.78	38yrs	214
The distance between Neptune and the Sun	r=0.66	44yrs	206
The distance between Neptune and Earth	r=0.66	44yrs	206
The distance between Neptune and Mercury	r=0.66	44yrs	206
Burglary rates in the US	r=0.78	38yrs	204
Kerosene used in Pakistan	r=0.75	42yrs	204
Customer satisfaction with Apple	r=-0.86	28yrs	196
Burglaries in New Jersey	r=0.78	38yrs	194
Average milk produced per cow in the US	r=-0.66	43yrs	193
Total number of automotive recalls	r=-0.66	43yrs	192
Kerosene used in Macau	r=0.74	42yrs	192
Popularity of the first name Kassie	r=0.79	43yrs	191
Kerosene used in North Korea	r=0.74	42yrs	182
Popularity of the first name Ashlee	r=0.78	43yrs	180
Total annual sales of Ford Motors in the United States	r=0.72	23yrs	179
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.68	43yrs	178
The distance between Neptune and the moon	r=0.66	44yrs	176
Number of Lawyers in the United States	r=-0.74	34yrs	176
Johnson Controls International's stock price (JCI)	r=0.69	22yrs	176
Customer satisfaction with Kohl's	r=0.7	19yrs	176
Total likes of 'Be Smart' science YouTube videos	r=0.82	11yrs	176
UFO sightings in New Jersey	r=-0.64	42yrs	174
Robberies in the US	r=0.72	38yrs	174
Budget for largest movie production	r=-0.65	43yrs	172
Cottage cheese consumption	r=0.68	32yrs	172
Average number of milk cows in the United States	r=0.5	43yrs	172
USA Population	r=-0.67	43yrs	171
Kerosene used in Nicaragua	r=0.73	42yrs	171
Annual count of part-time employees in the United States	r=-0.76	33yrs	170
Intel Corporation's annual revenue	r=-0.72	36yrs	169
Popularity of the first name Megan	r=0.77	43yrs	168
US Annual Tax Revenue	r=-0.64	42yrs	167
Number of households headed by single fathers in the United States	r=-0.72	32yrs	166
The number of movies Gregory Peck appeared in	r=0.56	43yrs	166
Google searches for 'titanic'	r=0.74	20yrs	164
Motor vehicle thefts	r=0.71	38yrs	163
The number of maintenance workers, machinery in New Jersey	r=0.74	20yrs	162
Kerosene used in Peru	r=0.73	42yrs	161
The number of office clerks in New Jersey	r=0.73	20yrs	160
The number of electrical and electronics repairers, commercial and industrial equipment in New Jersey	r=0.73	20yrs	160
Popularity of the first name Meghan	r=0.77	43yrs	158
The distance between Neptune and Venus	r=0.61	44yrs	158
Automotive recalls issued by Nissan North America	r=-0.59	43yrs	158
Automotive recalls issued by BMW of North America	r=-0.58	43yrs	156
Customer satisfaction with Dillard's	r=-0.74	27yrs	154
Total likes of 3Blue1Brown YouTube videos	r=0.69	9yrs	154
Automotive recalls for issues with the Power Train	r=-0.59	43yrs	153
Number of public school students in 10th grade	r=-0.76	33yrs	153
Career regular season goals scored by Sidney Crosby	r=0.67	21yrs	152
Number of highschoolers in the US	r=-0.75	33yrs	152
Robberies in New Jersey	r=0.7	38yrs	152
US kids in public school	r=-0.74	33yrs	151
Kerosene used in Brazil	r=0.72	42yrs	150
Popularity of the first name Mayra	r=0.77	43yrs	148
Milk consumption	r=0.66	32yrs	141
Gasoline pumped in France	r=0.72	43yrs	140
Popularity of the first name Darrin	r=0.77	43yrs	138
Frozen yogurt consumption	r=0.66	32yrs	130
The number of automotive service technicians and mechanics in New Jersey	r=0.72	20yrs	129
Petroluem consumption in North Korea	r=0.71	42yrs	128
Popularity of the first name Stefani	r=0.77	43yrs	128
The number of CEOs in New Jersey	r=0.7	20yrs	118
Kerosene used in Thailand	r=0.7	42yrs	116
Popularity of the first name Danielle	r=0.76	43yrs	116
Number of Registered Vehicles in the US	r=-0.72	32yrs	115
The distance between Uranus and Saturn	r=-0.72	44yrs	108
The number of biological technicians in New Jersey	r=0.71	20yrs	108
Popularity of the first name Lindsey	r=0.76	43yrs	106
Kerosene used in Argentina	r=0.69	42yrs	105
Physical album shipment volume in the United States	r=0.7	24yrs	105
Yogurt consumption	r=-0.74	32yrs	104
Popularity of the first name Meagan	r=0.76	43yrs	96
Kerosene used in Syria	r=0.69	42yrs	95
The number of postal service machine operators in New Jersey	r=0.69	20yrs	94
Popularity of the first name Felicia	r=0.76	43yrs	86
Gasoline pumped in Austria	r=0.68	43yrs	84
Popularity of the first name Kurtis	r=0.76	43yrs	76
Kerosene used in Venezuela	r=0.68	42yrs	74
Popularity of the first name Justina	r=0.76	43yrs	66
Kerosene used in Puerto Rico	r=0.67	42yrs	62
Popularity of the first name Andrew	r=0.75	43yrs	55
Jet fuel used in Saint Vincent/Grenadines	r=0.79	24yrs	52
Popularity of the first name Jessica	r=0.75	43yrs	45
Gasoline pumped in Germany	r=0.73	32yrs	41
Popularity of the first name Kyle	r=0.75	43yrs	35
Gasoline pumped in United Kingdom	r=0.65	43yrs	30
Popularity of the first name Alicia	r=0.75	43yrs	25

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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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