Top variables that correlate with Air pollution in San Diego, California

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Data source: Environmental Protection Agency
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Air pollution in San Diego, California correlates with...

Variable	Correlation	Years	Has img?
Popularity of the first name Kirk	r=0.97	43yrs	Yes!
Popularity of the first name Kathleen	r=0.97	43yrs	No
Popularity of the first name Douglas	r=0.95	43yrs	No
Arson in California	r=0.93	38yrs	No
Popularity of the first name William	r=0.91	43yrs	No
The number of technical writers in California	r=0.6	20yrs	No

Air pollution in San Diego, California also correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Michael	r=0.97	43yrs	413
Popularity of the first name Robert	r=0.97	43yrs	413
Popularity of the first name Amanda	r=0.97	43yrs	413
Arson in United States	r=0.93	38yrs	401
Burglaries in California	r=0.93	38yrs	401
Remaining Forest Cover in the Brazilian Amazon	r=0.93	36yrs	398
Gasoline pumped in France	r=0.93	43yrs	397
Kerosene used in Argentina	r=0.93	42yrs	396
Kerosene used in Brazil	r=0.93	42yrs	396
The wind speed in San Diego	r=0.9	39yrs	392
Popularity of the first name Eric	r=0.97	43yrs	383
The distance between Neptune and the Sun	r=0.93	44yrs	381
The distance between Neptune and Earth	r=0.93	44yrs	381
The distance between Neptune and the moon	r=0.93	44yrs	381
Popularity of the first name Steven	r=0.97	43yrs	373
Burglary rates in the US	r=0.92	38yrs	370
Kerosene used in Egypt	r=0.93	42yrs	366
Viewership count for Days of Our Lives	r=0.88	42yrs	364
Popularity of the first name Timothy	r=0.97	43yrs	363
Kerosene used in Thailand	r=0.93	42yrs	356
Popularity of the first name Kenneth	r=0.97	43yrs	353
The distance between Neptune and Mercury	r=0.92	44yrs	350
Carjackings in the US	r=0.86	27yrs	350
Kerosene used in Venezuela	r=0.93	42yrs	346
Popularity of the first name Erica	r=0.97	43yrs	343
Cottage cheese consumption	r=0.89	32yrs	339
Frozen yogurt consumption	r=0.89	32yrs	339
Physical album shipment volume in the United States	r=0.85	24yrs	338
Gasoline pumped in Cuba	r=0.92	42yrs	334
Popularity of the first name Derek	r=0.97	43yrs	333
Kerosene used in Cuba	r=0.92	42yrs	324
Popularity of the first name Raymond	r=0.97	43yrs	323
Robberies in the US	r=0.87	38yrs	322
Popularity of the first name Phillip	r=0.97	43yrs	313
Gasoline pumped in Bulgaria	r=0.91	42yrs	313
Motor vehicle thefts	r=0.85	38yrs	309
Milk consumption	r=0.85	32yrs	304
Kerosene used in Pakistan	r=0.91	42yrs	303
Robberies in California	r=0.85	38yrs	299
Popularity of the first name Curtis	r=0.97	43yrs	293
Petroluem consumption in Romania	r=0.91	42yrs	293
Popularity of the first name Albert	r=0.97	43yrs	283
Gasoline pumped in Somalia	r=0.91	42yrs	283
Popularity of the first name Reginald	r=0.97	43yrs	273
Average number of milk cows in the United States	r=0.81	43yrs	268
Popularity of the first name Karl	r=0.97	43yrs	263
Petroluem consumption in Uzbekistan	r=0.91	30yrs	261
Popularity of the first name Kristine	r=0.97	43yrs	253
NASA's budget as a percentage of the total US Federal Budget	r=0.79	44yrs	250
General Electric's stock price (GE)	r=0.8	22yrs	246
Popularity of the first name Rachelle	r=0.97	43yrs	243
Customer satisfaction with Frontier Communications	r=0.73	28yrs	240
Highest Nielsen rating for a TV show each year	r=0.78	41yrs	239
Popularity of the first name Rochelle	r=0.97	43yrs	233
Kerosene used in Turkiye	r=0.89	43yrs	231
Gasoline pumped in Austria	r=0.88	43yrs	220
Total annual sales of Ford Motors in the United States	r=0.79	23yrs	220
Total number of automotive recalls	r=-0.86	43yrs	212
AIG's stock price (AIG)	r=0.79	22yrs	212
Lloyds Banking Group's stock price (LYG)	r=0.79	22yrs	212
Kerosene used in Uruguay	r=0.89	42yrs	210
US household spending on books	r=0.84	23yrs	210
Customer satisfaction with Walmart	r=0.73	27yrs	209
Customer satisfaction with Verizon	r=0.71	28yrs	207
Automotive recalls issued by Honda	r=-0.78	43yrs	206
Automotive recalls issued by Nissan North America	r=-0.78	43yrs	206
Ticket sales for San Francisco Giants games	r=-0.81	40yrs	204
Automotive recalls for issues with the Power Train	r=-0.79	43yrs	203
US household spending on clothing for men	r=0.79	23yrs	202
Automotive recalls issued by BMW of North America	r=-0.72	43yrs	200
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.89	43yrs	199
Kerosene used in Peru	r=0.88	42yrs	198
Automotive recalls for issues with the Electrical System	r=-0.74	43yrs	198
USA Population	r=-0.93	43yrs	197
Number of Lawyers in the United States	r=-0.92	34yrs	194
Automotive recalls issued by Chrysler	r=-0.65	43yrs	194
UFO sightings in California	r=-0.83	42yrs	194
Average SAT score in math	r=-0.76	33yrs	194
Number of Las Vegas Hotel Room Check-Ins	r=-0.95	34yrs	193
Automotive recalls for issues with Exterior Lighting	r=-0.69	43yrs	193
Budget for largest movie production	r=-0.85	43yrs	192
Patents granted in the US	r=-0.83	41yrs	192
Automotive recalls for issues with the Engine And Engine Cooling	r=-0.68	43yrs	192
Violent crime rates	r=0.83	38yrs	191
US Annual Tax Revenue	r=-0.88	42yrs	191
Automotive recalls for issues with the Seats	r=-0.67	43yrs	191
The number of postal service clerks in California	r=0.8	20yrs	191
US milk fat used to produce fluid beverage milk	r=0.83	22yrs	188
Petroluem consumption in Bulgaria	r=0.87	42yrs	187
Kerosene used in Nicaragua	r=0.87	42yrs	177
The distance between Neptune and Venus	r=0.72	44yrs	174
Citigroup's stock price (C)	r=0.74	22yrs	174
Average milk produced per cow in the US	r=-0.93	43yrs	170
Kerosene used in North Korea	r=0.86	42yrs	166
Ice cream consumption	r=0.72	32yrs	148
Evaporated and condensed milk consumption	r=0.7	32yrs	136
US average milk-fat content of frozen dairy products	r=0.82	22yrs	123
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.8	22yrs	110

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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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