Top variables that correlate with Air pollution in Ithaca

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Data source: Environmental Protection Agency
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Air pollution in Ithaca correlates with...

Variable	Correlation	Years	Has img?
Viewership count for Days of Our Lives	r=0.88	32yrs	Yes!
Remaining Forest Cover in the Brazilian Amazon	r=0.87	33yrs	Yes!
Arson in United States	r=0.86	33yrs	Yes!

Air pollution in Ithaca also correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Norway	r=0.91	33yrs	384
Gasoline pumped in Italy	r=0.9	33yrs	382
Kerosene used in Philippines	r=0.9	32yrs	382
Popularity of the first name Kasandra	r=0.92	33yrs	366
Popularity of the first name Johnna	r=0.92	33yrs	366
Popularity of the first name Nicholas	r=0.91	33yrs	364
NASA's budget as a percentage of the total US Federal Budget	r=0.87	34yrs	356
Physical album shipment volume in the United States	r=0.88	24yrs	342
The number of patternmakers, metal and plastic in New York	r=0.89	17yrs	336
Popularity of the first name Jordan	r=0.91	33yrs	334
The distance between Neptune and the moon	r=0.88	34yrs	334
The distance between Neptune and the Sun	r=0.87	34yrs	332
The distance between Neptune and Earth	r=0.87	34yrs	332
Popularity of the first name Jasmine	r=0.91	33yrs	324
Petroluem consumption in Germany	r=0.9	32yrs	322
GMO use in cotton	r=0.87	23yrs	322
US household spending on prescription drugs	r=0.86	23yrs	318
Popularity of the first name Trevor	r=0.91	33yrs	314
Gasoline pumped in United Kingdom	r=0.9	33yrs	312
Popularity of the first name Devon	r=0.91	33yrs	304
Gasoline pumped in Spain	r=0.89	33yrs	301
The distance between Neptune and Mercury	r=0.85	34yrs	299
Popularity of the first name Rebekah	r=0.91	33yrs	294
Liquefied petroleum gas used in Japan	r=0.88	33yrs	290
Popularity of the first name Darius	r=0.91	33yrs	284
Kerosene used in Peru	r=0.89	32yrs	280
Popularity of the first name Bridget	r=0.91	33yrs	274
Kerosene used in Syria	r=0.89	32yrs	270
Popularity of the first name Tia	r=0.91	33yrs	264
Violent crime rates	r=0.8	33yrs	262
Petroluem consumption in Italy	r=0.87	33yrs	258
Popularity of the first name Katelin	r=0.91	33yrs	254
Petroluem consumption in Japan	r=0.87	33yrs	248
Motor vehicle thefts	r=0.84	33yrs	248
Popularity of the first name Kalie	r=0.91	33yrs	244
Automotive recalls for issues with Vehicle Speed Control	r=0.72	33yrs	242
Customer satisfaction with Verizon	r=0.74	28yrs	242
Kerosene used in Japan	r=0.87	33yrs	238
Carjackings in the US	r=0.81	27yrs	237
Popularity of the first name Kalee	r=0.91	33yrs	234
Emmy Awards Ceremony viewership	r=0.77	33yrs	230
Milk consumption	r=0.85	32yrs	230
Gasoline pumped in Norway	r=0.87	33yrs	228
Ice cream consumption	r=0.84	32yrs	226
The number of tool and die makers in New York	r=0.83	20yrs	226
Popularity of the first name Schuyler	r=0.91	33yrs	224
US Employment Rate	r=0.73	33yrs	224
The number of data entry keyers in New York	r=0.82	20yrs	224
Divorce rates in the United Kingdom	r=0.78	23yrs	222
Sherbet consumption	r=0.81	32yrs	222
Kerosene used globally	r=0.87	32yrs	217
Popularity of the first name Siera	r=0.91	33yrs	214
Burglary rates in the US	r=0.8	33yrs	212
Customer satisfaction with Walmart	r=0.74	27yrs	210
Customer satisfaction with Frontier Communications	r=0.73	28yrs	210
The divorce rate in New York	r=0.75	23yrs	208
Gasoline pumped in Germany	r=0.87	32yrs	207
AIG's stock price (AIG)	r=0.76	22yrs	207
US household spending on clothing	r=0.82	23yrs	207
US household spending on clothin for women	r=0.82	23yrs	207
US household spending on books	r=0.82	23yrs	207
US household spending on clothing for men	r=0.81	23yrs	206
Citigroup's stock price (C)	r=0.74	22yrs	204
Popularity of the first name Zachary	r=0.9	33yrs	202
Customer satisfaction with Whirlpool	r=0.68	28yrs	202
Robberies in the US	r=0.79	33yrs	200
US birth rates of triplets or more	r=0.81	20yrs	200
Total number of automotive recalls	r=-0.83	33yrs	198
Petroluem consumption in Denmark	r=0.86	33yrs	196
The number of prepress technicians and workers in New York	r=0.82	20yrs	194
Automotive recalls issued by BMW of North America	r=-0.76	33yrs	194
Popularity of the first name Alexandra	r=0.9	33yrs	192
Customer satisfaction with Apple	r=-0.81	28yrs	192
U.S. intercountry adoptions	r=0.78	23yrs	191
Cottage cheese consumption	r=0.78	32yrs	188
Gasoline pumped in Slovenia	r=0.86	31yrs	184
Popularity of the first name Marissa	r=0.9	33yrs	182
Burglaries in New York	r=0.76	33yrs	176
Frozen yogurt consumption	r=0.77	32yrs	176
Popularity of the first name Angelica	r=0.9	33yrs	172
Robberies in New York	r=0.71	33yrs	158
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.85	22yrs	158
The number of telephone operators in New York	r=0.82	19yrs	153
US average milk-fat content of frozen dairy products	r=0.85	22yrs	148
Motor vehicle thefts in New York	r=0.7	33yrs	146
The number of telemarketers in New York	r=0.8	20yrs	142
Processed cheese consumption	r=0.75	27yrs	138
The number of switchboard operators in New York	r=0.81	20yrs	132
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.84	22yrs	126
The number of brokerage clerks in New York	r=0.81	20yrs	122
Average milk produced per cow in the US	r=-0.89	33yrs	116
The number of postal service machine operators in New York	r=0.81	20yrs	112
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.81	22yrs	102
US average milk-fat content of cottage cheese	r=0.8	22yrs	90
US milk fat used to produce fluid beverage milk	r=0.79	22yrs	72
Electricity generation in U.S. Virgin Islands	r=0.84	32yrs	70
Fossil fuel use in U.S. Virgin Islands	r=0.84	32yrs	60
Gasoline pumped in France	r=0.85	33yrs	50

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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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