Top variables that correlate with Petroluem consumption in Denmark

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Data source: Energy Information Administration
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Petroluem consumption in Denmark correlates with...

Variable	Correlation	Years	Has img?
Air pollution in Allentown	r=0.89	43yrs	Yes!
Robberies in Hawaii	r=0.88	38yrs	No
Air pollution in Youngstown, Ohio	r=0.87	43yrs	Yes!
Air pollution in St. Louis	r=0.75	43yrs	Yes!

Petroluem consumption in Denmark also correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Sommer	r=0.95	43yrs	400
Popularity of the first name Tommy	r=0.92	43yrs	396
Popularity of the first name Lesley	r=0.92	43yrs	396
Carjackings in the US	r=0.9	27yrs	386
Physical album shipment volume in the United States	r=0.94	24yrs	381
US household spending on clothing	r=0.94	23yrs	380
US household spending on clothing for men	r=0.94	23yrs	380
US household spending on clothin for women	r=0.93	23yrs	378
Arson in Louisiana	r=0.9	38yrs	376
US average milk-fat content of frozen dairy products	r=0.93	22yrs	374
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	373
US average milk-fat content of cottage cheese	r=0.92	22yrs	373
Air pollution in Sevierville, Tennessee	r=0.9	34yrs	368
Popularity of the first name Nakia	r=0.9	43yrs	362
The marriage rate in Nevada	r=0.95	23yrs	362
The distance between Neptune and the Sun	r=0.87	43yrs	361
The distance between Neptune and Earth	r=0.87	43yrs	361
The distance between Neptune and the moon	r=0.87	43yrs	361
The marriage rate in Arizona	r=0.94	23yrs	360
The marriage rate in Idaho	r=0.94	23yrs	360
The number of industrial truck and tractor operators in Hawaii	r=0.95	19yrs	358
The number of photographers in Connecticut	r=0.94	20yrs	357
The number of carpet installers in Indiana	r=0.93	20yrs	357
US Employment Rate	r=0.9	33yrs	354
Total value of all $1 bills printed	r=0.86	33yrs	352
Air pollution in Philadelphia, Pennsylvania	r=0.9	43yrs	347
Popularity of the first name Lexus	r=0.92	33yrs	346
US birth rates of triplets or more	r=0.88	20yrs	346
Robberies in Arizona	r=0.9	38yrs	346
GMO use in cotton	r=0.88	23yrs	344
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	342
AIG's stock price (AIG)	r=0.9	21yrs	342
US household spending on books	r=0.88	23yrs	341
Lloyds Banking Group's stock price (LYG)	r=0.89	21yrs	340
The divorce rate in Alabama	r=0.93	23yrs	330
The number of travel agents in Minnesota	r=0.94	20yrs	327
The marriage rate in Ohio	r=0.93	23yrs	318
The number of typists in New York	r=0.94	20yrs	317
Sherbet consumption	r=0.87	32yrs	316
Air pollution in Baltimore, Maryland	r=0.89	43yrs	316
Arson in Maryland	r=0.89	38yrs	315
Popularity of the first name Karen	r=0.9	43yrs	312
The marriage rate in Tennessee	r=0.93	23yrs	308
The number of musicians in Pennsylvania	r=0.94	20yrs	307
Motor vehicle thefts in Michigan	r=0.89	38yrs	305
Air pollution in Charlotte, North Carolina	r=0.88	43yrs	304
Ice cream consumption	r=0.85	32yrs	303
Popularity of the first name Consuelo	r=0.9	43yrs	302
The marriage rate in Virginia	r=0.93	23yrs	298
The number of professional painters in South Carolina	r=0.94	20yrs	297
Air pollution in New York City	r=0.86	43yrs	294
Popularity of the first name Maria	r=0.89	43yrs	291
The marriage rate in Wyoming	r=0.93	23yrs	288
The number of computer programmers in Tennessee	r=0.93	20yrs	287
Air pollution in Raleigh, North Carolina	r=0.88	43yrs	284
US milk fat used to produce fluid beverage milk	r=0.89	22yrs	282
Arson in New Jersey	r=0.87	38yrs	282
Popularity of the first name Aja	r=0.89	43yrs	281
The divorce rate in North Carolina	r=0.92	23yrs	278
The number of janitors and cleaners in Wisconsin	r=0.94	20yrs	277
Arson in Rhode Island	r=0.87	38yrs	272
Air pollution in Atlantic City, New Jersey	r=0.87	43yrs	272
Popularity of the first name Jaime	r=0.88	43yrs	270
The divorce rate in Tennessee	r=0.92	23yrs	268
The number of office clerks in California	r=0.93	20yrs	266
Air pollution in Houston	r=0.85	43yrs	262
Popularity of the first name Bridget	r=0.88	43yrs	260
Burglaries in Utah	r=0.86	38yrs	260
The marriage rate in Arkansas	r=0.92	23yrs	257
The number of typists in Connecticut	r=0.93	20yrs	256
Air pollution in Scranton, Pennsylvania	r=0.87	43yrs	252
Popularity of the first name Cindy	r=0.88	43yrs	250
Robberies in Tennessee	r=0.86	38yrs	250
The marriage rate in Kentucky	r=0.92	23yrs	247
The number of telemarketers in New Jersey	r=0.92	20yrs	246
Popularity of the first name Tia	r=0.88	43yrs	240
The divorce rate in New Hampshire	r=0.91	23yrs	237
The number of brickmasons in New Jersey	r=0.93	20yrs	236
Air pollution in Louisville/Jefferson County, Kentucky	r=0.86	43yrs	231
Popularity of the first name Lorena	r=0.88	43yrs	230
The divorce rate in Oregon	r=0.91	23yrs	227
The number of typists in Pennsylvania	r=0.93	20yrs	226
Air pollution in Philadelphia, Pennsylvania	r=0.86	43yrs	221
Popularity of the first name Charity	r=0.88	43yrs	220
The number of brickmasons in South Carolina	r=0.93	20yrs	216
The marriage rate in South Dakota	r=0.91	23yrs	216
Popularity of the first name Kathy	r=0.88	43yrs	210
The number of pipelayers in South Carolina	r=0.93	20yrs	206
The divorce rate in Kentucky	r=0.9	23yrs	206
Popularity of the first name Brook	r=0.88	43yrs	200
The number of floral designers in Virginia	r=0.93	20yrs	196
The marriage rate in South Carolina	r=0.9	23yrs	194
Popularity of the first name Kenyatta	r=0.88	43yrs	190
The number of travel agents in Wisconsin	r=0.93	20yrs	186
Popularity of the first name Cedrick	r=0.88	43yrs	180
The number of typists in Alabama	r=0.92	20yrs	174
Popularity of the first name Mary	r=0.87	43yrs	168
The number of drywall and ceiling tile installers in Alabama	r=0.92	20yrs	164

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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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