Top variables that correlate with Air quality in San Luis Obispo, California

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Data source: Environmental Protection Agency
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Air quality in San Luis Obispo, California correlates with...

Variable	Correlation	Years	Sys. Score
US milk fat used to produce cottage cheese	r=0.9	22yrs	373
Disney movies released	r=0.89	23yrs	350
The wind speed in Los Angeles	r=0.85	22yrs	337
Total likes of Mark Rober YouTube videos	r=0.89	13yrs	328
Total views on Mark Rober YouTube videos	r=0.91	13yrs	322
Solar power generated in Guinea-Bissau	r=0.93	8yrs	315
Total likes of MrBeast's YouTube videos	r=0.88	12yrs	306
Patents granted to Samsung Electronics	r=0.85	12yrs	276
Total views on MrBeast's YouTube videos	r=0.89	12yrs	258
Associates degrees awarded in Music and dance	r=0.86	11yrs	258
Gasoline pumped in France	r=0.75	43yrs	235
Motor vehicle thefts	r=0.71	38yrs	233
Arson in California	r=0.7	38yrs	232
Kerosene used globally	r=0.74	42yrs	232
The number of automotive glass installers and repairers in California	r=0.83	20yrs	226
Arson in United States	r=0.66	38yrs	226
Viewership count for Days of Our Lives	r=0.65	42yrs	225
Divorce rates in the United Kingdom	r=0.72	33yrs	224
Popularity of the first name Judith	r=0.79	43yrs	221
Popularity of the first name Jacqueline	r=0.76	43yrs	216
Popularity of the first name Diana	r=0.76	43yrs	216
US household spending on household furnishings and equipment	r=0.8	23yrs	204
US household spending on new cars	r=0.8	23yrs	204
Gasoline pumped in Belgium	r=0.73	43yrs	202
The distance between Neptune and the Sun	r=0.64	44yrs	202
The distance between Neptune and Earth	r=0.64	44yrs	202
The distance between Neptune and Mercury	r=0.64	44yrs	202
US household spending on floor coverings	r=0.79	23yrs	202
US household spending on vehicle purchaes	r=0.79	23yrs	202
Average milk produced per cow in the US	r=-0.71	43yrs	198
Automotive recalls for issues with the Power Train	r=-0.7	43yrs	194
Kerosene used in Jordan	r=0.74	42yrs	192
US milk fat used to produce fluid beverage milk	r=0.79	22yrs	192
Total number of automotive recalls	r=-0.65	43yrs	190
Automotive recalls issued by Nissan North America	r=-0.62	43yrs	190
NASA's budget as a percentage of the total US Federal Budget	r=0.58	44yrs	188
Google searches for 'white house hotline'	r=0.75	20yrs	188
Customer satisfaction with Costco	r=-0.83	22yrs	188
Automotive recalls for issues with the Engine And Engine Cooling	r=-0.63	43yrs	187
Physical album shipment volume in the United States	r=0.74	24yrs	186
Remaining Forest Cover in the Brazilian Amazon	r=0.62	36yrs	186
Popularity of the first name Lance	r=0.75	43yrs	185
The wind speed in San Diego	r=0.62	39yrs	184
Violent crime rates	r=0.64	38yrs	182
Total number of live births in Australia	r=-0.78	43yrs	182
Patents granted in the US	r=-0.7	41yrs	180
UFO sightings in California	r=-0.7	42yrs	180
Kerosene used in Cuba	r=0.71	42yrs	178
The price of gold	r=-0.77	35yrs	178
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.68	43yrs	178
Budget for largest movie production	r=-0.69	43yrs	176
Patents granted in the US	r=-0.69	41yrs	176
Popularity of the first name Martina	r=0.75	43yrs	175
USA Population	r=-0.71	43yrs	175
New York Times Fiction Best Sellers	r=-0.73	35yrs	174
Super Bowl TV viewership	r=-0.76	33yrs	174
The distance between Neptune and the moon	r=0.64	44yrs	172
Hot days in Perth	r=-0.67	43yrs	172
Kerosene used in El Salvador	r=0.71	42yrs	168
Popularity of the first name Brenda	r=0.74	43yrs	164
How 'hip and with it' OverSimplified YouTube video titles are	r=0.89	7yrs	158
Jet fuel used in American Samoa	r=0.7	42yrs	156
Popularity of the first name Katrina	r=0.74	43yrs	154
Total likes of Steve Mould's YouTube videos	r=0.81	15yrs	154
Gasoline pumped in Austria	r=0.69	43yrs	146
Robberies in the US	r=0.6	38yrs	146
Popularity of the first name Cindy	r=0.74	43yrs	144
Average number of milk cows in the United States	r=0.51	43yrs	144
Average length of Numberphile YouTube videos	r=0.82	13yrs	143
Kerosene used in Peru	r=0.7	42yrs	136
Robberies in California	r=0.6	38yrs	136
Popularity of the first name Lorena	r=0.74	43yrs	134
The average number of likes on Mark Rober YouTube videos	r=0.81	13yrs	132
Kerosene used in Thailand	r=0.7	42yrs	126
Popularity of the first name Rene	r=0.74	43yrs	124
Total comments on Steve Mould's YouTube videos	r=0.77	15yrs	118
Kerosene used in United States	r=0.69	43yrs	116
Popularity of the first name Arlene	r=0.74	43yrs	114
How trendy OverSimplified YouTube video titles are	r=0.85	7yrs	112
Total likes of The Game Theorists YouTube videos	r=0.76	15yrs	106
Petroluem consumption in Antarctica	r=0.69	42yrs	105
Popularity of the first name Milton	r=0.74	43yrs	104
Kerosene used in Brazil	r=0.69	42yrs	95
Popularity of the first name Nakia	r=0.74	43yrs	94
Kerosene used in Syria	r=0.69	42yrs	85
Popularity of the first name Dora	r=0.74	43yrs	84
Kerosene used in Hong Kong	r=0.68	42yrs	74
Popularity of the first name Linsey	r=0.74	43yrs	74
The average number of likes on 'Be Smart' science YouTube videos	r=0.81	11yrs	74
Hydopower energy generated in Denmark	r=0.65	42yrs	62
Popularity of the first name Joseph	r=0.73	43yrs	62
Average length of LEMMiNO YouTube videos	r=0.79	12yrs	62
Kerosene used in Egypt	r=0.67	42yrs	52
Popularity of the first name Ryan	r=0.73	43yrs	52
The average number of likes on OverSimplified YouTube videos	r=0.82	7yrs	52
Kerosene used in Malaysia	r=0.67	42yrs	42
Popularity of the first name Sarah	r=0.73	43yrs	42
Petroluem consumption in Uzbekistan	r=0.75	30yrs	32
Popularity of the first name Maria	r=0.73	43yrs	32
Average length of Computerphile YouTube videos	r=0.79	11yrs	32
Popularity of the first name Mary	r=0.73	43yrs	22

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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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