Top variables that correlate with Air pollution in Harrisburg, Pennsylvania

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Data source: Environmental Protection Agency
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Air pollution in Harrisburg, Pennsylvania correlates with...

Variable	Correlation	Years	Has img?
Physical album shipment volume in the United States	r=0.9	24yrs	Yes!

Air pollution in Harrisburg, Pennsylvania also correlates with...

Variable	Correlation	Years	Sys. Score
Number of edits to the Wikipedia article for Thanksgiving	r=0.9	16yrs	362
Lloyds Banking Group's stock price (LYG)	r=0.86	22yrs	357
AIG's stock price (AIG)	r=0.85	22yrs	356
The number of telemarketers in Pennsylvania	r=0.89	20yrs	341
Google searches for 'snoop dog'	r=0.87	20yrs	338
The number of postal service machine operators in Pennsylvania	r=0.88	20yrs	338
The number of prepress technicians and workers in Pennsylvania	r=0.88	20yrs	338
Liquefied petroleum gas used in Greenland	r=0.87	22yrs	337
United States music album sales	r=0.89	16yrs	336
Ice cream consumption	r=0.87	32yrs	336
GMO use in cotton	r=0.87	23yrs	322
US household spending on books	r=0.85	23yrs	316
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.86	22yrs	314
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.86	22yrs	314
The number of musicians in Pennsylvania	r=0.87	20yrs	306
The number of counter and rental clerks in Pennsylvania	r=0.87	20yrs	296
The number of cooks, short order in Pennsylvania	r=0.86	20yrs	285
US average milk-fat content of frozen dairy products	r=0.86	22yrs	284
The number of carpenters in Pennsylvania	r=0.86	20yrs	275
The number of cutters and trimmers, hand in Pennsylvania	r=0.85	20yrs	264
The number of compensation and benefits managers in Pennsylvania	r=0.86	19yrs	254
Citigroup's stock price (C)	r=0.83	22yrs	248
Hydopower energy generated in Denmark	r=0.82	42yrs	248
Violent crime rates	r=0.66	38yrs	246
Kerosene used globally	r=0.81	42yrs	243
NASA's budget as a percentage of the total US Federal Budget	r=0.74	44yrs	242
Viewership count for Days of Our Lives	r=0.75	42yrs	240
Arson in United States	r=0.74	38yrs	238
Remaining Forest Cover in the Brazilian Amazon	r=0.76	36yrs	237
US birth rates of triplets or more	r=0.85	20yrs	236
Motor vehicle thefts	r=0.73	38yrs	236
US Employment Rate	r=0.76	33yrs	228
Popularity of the first name Jared	r=0.82	43yrs	226
Popularity of the first name Diana	r=0.82	43yrs	226
Popularity of the first name Arlene	r=0.82	43yrs	226
Cigarette Smoking Rate for US adults	r=0.81	21yrs	224
U.S. intercountry adoptions	r=0.8	23yrs	224
The distance between Neptune and the Sun	r=0.78	44yrs	224
The distance between Neptune and Earth	r=0.78	44yrs	224
The distance between Neptune and the moon	r=0.78	44yrs	224
Emmy Awards Ceremony viewership	r=0.67	36yrs	218
Kerosene used in Peru	r=0.81	42yrs	213
The number of tax examiners and collectors, and revenue agents in Pennsylvania	r=0.88	13yrs	211
US household spending on clothing for men	r=0.84	23yrs	210
US household spending on prescription drugs	r=0.83	23yrs	208
US household spending on processed fruits	r=0.82	23yrs	207
Motor vehicle thefts in Pennsylvania	r=0.73	38yrs	206
Gasoline pumped in Norway	r=0.8	43yrs	202
Popularity of the first name Brant	r=0.82	43yrs	196
Kerosene used in Syria	r=0.8	42yrs	192
Burglary rates in the US	r=0.7	38yrs	192
The distance between Neptune and Mercury	r=0.75	44yrs	189
US milk fat used to produce fluid beverage milk	r=0.82	22yrs	186
Popularity of the first name Jacqueline	r=0.81	43yrs	184
Burglaries in Pennsylvania	r=0.7	38yrs	182
Petroluem consumption in Italy	r=0.78	43yrs	180
Orange's stock price (ORAN)	r=0.77	22yrs	178
Popularity of the first name Cindy	r=0.81	43yrs	174
Robberies in Pennsylvania	r=0.7	38yrs	172
Milk consumption	r=0.77	32yrs	168
The distance between Neptune and Venus	r=0.68	44yrs	168
Kerosene used in Macau	r=0.77	42yrs	167
Barclays' stock price (BCS)	r=0.76	22yrs	167
Popularity of the first name Ramon	r=0.81	43yrs	164
Robberies in the US	r=0.68	38yrs	158
Sherbet consumption	r=0.78	32yrs	158
Fossil fuel use in Slovakia	r=0.83	29yrs	156
Popularity of the first name Elisabeth	r=0.81	43yrs	154
Gasoline pumped in Austria	r=0.76	43yrs	146
Arson in Pennsylvania	r=0.66	38yrs	146
Popularity of the first name Chasity	r=0.81	43yrs	144
Gasoline pumped in France	r=0.76	43yrs	136
Popularity of the first name Johnna	r=0.81	43yrs	134
The number of legislators in Pennsylvania	r=0.84	20yrs	128
Gasoline pumped in United Kingdom	r=0.76	43yrs	126
Popularity of the first name Joseph	r=0.8	43yrs	122
The number of postmasters in Pennsylvania	r=0.84	20yrs	117
Kerosene used in United States	r=0.76	43yrs	116
Popularity of the first name Maria	r=0.8	43yrs	112
The number of geography teachers in Pennsylvania	r=0.84	20yrs	107
Petroluem consumption in Denmark	r=0.75	43yrs	105
Popularity of the first name Desiree	r=0.8	43yrs	102
The number of floral designers in Pennsylvania	r=0.84	20yrs	97
Kerosene used in Central African Republic	r=0.8	35yrs	94
Popularity of the first name Rebekah	r=0.8	43yrs	92
The number of file clerks in Pennsylvania	r=0.84	20yrs	87
Kerosene used in Japan	r=0.74	43yrs	84
Popularity of the first name Tommy	r=0.8	43yrs	82
The number of data entry keyers in Pennsylvania	r=0.84	20yrs	77
Gasoline pumped in Slovenia	r=0.82	31yrs	74
Popularity of the first name Rene	r=0.8	43yrs	72
The number of typists in Pennsylvania	r=0.84	20yrs	67
Petroluem consumption in Germany	r=0.81	32yrs	63
Popularity of the first name Cathryn	r=0.8	43yrs	62
The number of forging machine setters, operators, and tenders, metal and plastic in Pennsylvania	r=0.82	20yrs	54
Kerosene used in Tunisia	r=0.74	42yrs	52
Popularity of the first name Jonathan	r=0.79	43yrs	51
Petroluem consumption in Antarctica	r=0.73	42yrs	41
Popularity of the first name Vanessa	r=0.79	43yrs	41
Popularity of the first name Catherine	r=0.79	43yrs	31

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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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