Top variables that correlate with Air pollution in Riverside, California

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

Variable	Correlation	Years	Has img?
Disney movies released	r=0.88	23yrs	No
US milk fat used to produce frozen dairy products	r=0.79	22yrs	No

Air pollution in Riverside, California also correlates with...

Variable	Correlation	Years	Sys. Score
Gasoline pumped in France	r=0.95	43yrs	430
Popularity of the first name Eric	r=0.96	43yrs	412
Popularity of the first name Erica	r=0.96	43yrs	412
Popularity of the first name Peter	r=0.96	43yrs	412
Arson in California	r=0.95	38yrs	404
Arson in United States	r=0.93	38yrs	401
Burglaries in California	r=0.93	38yrs	401
Kerosene used in Thailand	r=0.95	42yrs	399
Remaining Forest Cover in the Brazilian Amazon	r=0.93	36yrs	398
Kerosene used in Brazil	r=0.94	42yrs	398
The wind speed in San Diego	r=0.91	39yrs	393
Popularity of the first name Kathleen	r=0.96	43yrs	382
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 Mercury	r=0.93	44yrs	381
US milk fat used to produce fluid beverage milk	r=0.92	22yrs	376
Popularity of the first name Alisha	r=0.96	43yrs	372
Kerosene used in Egypt	r=0.94	42yrs	368
Burglary rates in the US	r=0.9	38yrs	366
Viewership count for Days of Our Lives	r=0.88	42yrs	364
Popularity of the first name Reginald	r=0.96	43yrs	362
Kerosene used in Cuba	r=0.92	42yrs	354
Popularity of the first name Rachelle	r=0.96	43yrs	352
The distance between Neptune and the moon	r=0.93	44yrs	351
Kerosene used in Argentina	r=0.91	42yrs	343
Violent crime rates	r=0.87	38yrs	342
Popularity of the first name Michael	r=0.95	43yrs	340
US Hospital Occupancy Rate	r=0.89	18yrs	338
Cottage cheese consumption	r=0.88	32yrs	338
Popularity of the first name Jessica	r=0.95	43yrs	330
Petroluem consumption in Uzbekistan	r=0.91	30yrs	321
Popularity of the first name Thomas	r=0.95	43yrs	320
US household spending on beef	r=0.85	23yrs	316
Motor vehicle thefts	r=0.89	38yrs	315
Popularity of the first name Stephanie	r=0.95	43yrs	310
Robberies in the US	r=0.88	38yrs	304
Popularity of the first name Nicole	r=0.95	43yrs	300
The number of movies Anya Taylor-Joy appeared in	r=0.91	10yrs	300
Robberies in California	r=0.88	38yrs	294
Gasoline pumped in Austria	r=0.9	43yrs	292
Popularity of the first name Amber	r=0.95	43yrs	290
Average length of 3Blue1Brown YouTube videos	r=0.87	9yrs	286
Popularity of the first name Steven	r=0.95	43yrs	280
Fossil fuel use in Sierra Leone	r=0.87	42yrs	280
Median Weekly Earnings of Self-Employed Workers in the UK	r=0.87	11yrs	274
China's Rare Earth Element Export Volume	r=0.86	11yrs	273
UK Public Library Count	r=0.85	12yrs	272
Popularity of the first name Timothy	r=0.95	43yrs	270
Gasoline pumped in Cuba	r=0.89	42yrs	270
Average number of milk cows in the United States	r=0.77	43yrs	262
Popularity of the first name Sara	r=0.95	43yrs	260
Kerosene used in Venezuela	r=0.89	42yrs	260
NASA's budget as a percentage of the total US Federal Budget	r=0.81	44yrs	252
Popularity of the first name Stephen	r=0.95	43yrs	250
Gasoline pumped in Belgium	r=0.87	43yrs	248
Customer satisfaction with Walmart	r=0.77	27yrs	245
Popularity of the first name Katie	r=0.95	43yrs	240
Kerosene used in Pakistan	r=0.88	42yrs	238
Highest Nielsen rating for a TV show each year	r=0.73	41yrs	232
Physical album shipment volume in the United States	r=0.84	24yrs	231
Popularity of the first name Kathryn	r=0.95	43yrs	230
Kerosene used in Peru	r=0.88	42yrs	228
Carjackings in the US	r=0.75	27yrs	228
Divorce rates in the United Kingdom	r=0.72	33yrs	224
Popularity of the first name Phillip	r=0.95	43yrs	220
Gasoline pumped in Bulgaria	r=0.86	42yrs	216
Total number of automotive recalls	r=-0.88	43yrs	214
US household spending on fish and seafood	r=0.85	23yrs	212
US household spending on floor coverings	r=0.84	23yrs	210
Automotive recalls for issues with the Power Train	r=-0.84	43yrs	208
Automotive recalls issued by Nissan North America	r=-0.79	43yrs	208
Customer satisfaction with Verizon	r=0.72	28yrs	208
Annual US household spending on books	r=0.83	23yrs	208
US household spending on books	r=0.83	23yrs	208
US household spending on pork	r=0.82	23yrs	207
Petroluem consumption in Romania	r=0.86	42yrs	206
Automotive recalls issued by Honda	r=-0.78	43yrs	206
AIG's stock price (AIG)	r=0.74	22yrs	204
US household spending on meats, poultry, fish, and eggs	r=0.8	23yrs	204
US household spending on processed fruits	r=0.8	23yrs	204
Ticket sales for San Francisco Giants games	r=-0.79	40yrs	202
Automotive recalls for issues with the Electrical System	r=-0.76	43yrs	200
Automotive recalls issued by BMW of North America	r=-0.71	43yrs	200
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.88	43yrs	198
Kerosene used in Uruguay	r=0.86	42yrs	196
Milk consumption	r=0.83	32yrs	196
Frozen yogurt consumption	r=0.83	32yrs	185
Kerosene used in Hong Kong	r=0.85	42yrs	184
US milk fat used to produce cottage cheese	r=0.81	22yrs	174
The distance between Neptune and Venus	r=0.7	44yrs	172
Gasoline pumped in Germany	r=0.87	32yrs	167
Average milk produced per cow in the US	r=-0.93	43yrs	160
Gasoline pumped in Uzbekistan	r=0.85	30yrs	152
Canned whole evaporated and condensed milk consumption	r=0.77	32yrs	146
Ice cream consumption	r=0.75	32yrs	133
Evaporated and condensed milk consumption	r=0.71	32yrs	117
Sherbet consumption	r=0.7	32yrs	106
Processed cheese consumption	r=0.74	27yrs	96
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.8	22yrs	80
US average milk-fat content of frozen dairy products	r=0.8	22yrs	70

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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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