Top variables that correlate with Petroluem consumption in Switzerland

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

Variable	Correlation	Years	Has img?
The divorce rate in Wisconsin	r=0.97	23yrs	No

Petroluem consumption in Switzerland also correlates with...

Variable	Correlation	Years	Sys. Score
The divorce rate in Idaho	r=0.96	23yrs	394
The divorce rate in Texas	r=0.96	23yrs	394
The number of bill collectors in Hawaii	r=0.95	20yrs	390
The number of human resources assistants in Massachusetts	r=0.95	20yrs	388
The number of tax examiners and collectors, and revenue agents in New York	r=0.96	13yrs	383
Cigarette Smoking Rate for US adults	r=0.95	21yrs	380
US production of fluid beverage milk	r=0.93	22yrs	378
US household spending on postage and stationery	r=0.92	23yrs	377
US household spending on clothin for women	r=0.91	23yrs	376
Burglaries in Tennessee	r=0.9	38yrs	376
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.92	22yrs	374
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.93	22yrs	374
Burglaries in Puerto Rico	r=0.94	24yrs	368
The divorce rate in Vermont	r=0.96	23yrs	364
Popularity of the first name Marlon	r=0.89	43yrs	361
Popularity of the first name Antonio	r=0.86	43yrs	356
The divorce rate in Maine	r=0.95	23yrs	353
The number of tax examiners and collectors, and revenue agents in Georgia	r=0.95	13yrs	352
US birth rates of triplets or more	r=0.9	20yrs	348
Burglaries in North Carolina	r=0.89	38yrs	345
US household spending on clothing	r=0.9	23yrs	344
The divorce rate in Michigan	r=0.95	23yrs	343
GMO use in cotton	r=0.87	23yrs	342
US household spending on mortgage interest and charges	r=0.89	23yrs	342
Global Per Capita Rice Consumption	r=0.9	20yrs	341
US household spending on fresh milk and cream	r=0.88	23yrs	341
Google searches for 'shook'	r=0.89	19yrs	340
US household spending on clothing for men	r=0.87	23yrs	340
U.S. intercountry adoptions	r=0.86	23yrs	338
US household spending on prescription drugs	r=0.86	23yrs	338
US household spending on tobacco products and smoking supplies	r=0.85	23yrs	336
Google searches for 'oprah winfrey'	r=0.85	19yrs	334
Milk consumption	r=0.87	32yrs	328
GMO use in cotton in Texas	r=0.89	23yrs	326
How good LockPickingLawyer YouTube video titles are	r=0.94	8yrs	321
GMO use in corn grown in North Dakota	r=0.87	18yrs	320
How geeky SciShow Space YouTube video titles are	r=0.92	9yrs	319
The number of bill collectors in Connecticut	r=0.94	20yrs	318
Master's degrees awarded in Architecture	r=0.91	10yrs	316
Master's degrees awarded in gender studies	r=0.91	10yrs	316
Master's degrees awarded in linguistics	r=0.91	10yrs	316
Burglaries in West Virginia	r=0.89	38yrs	315
Ice cream consumption	r=0.86	32yrs	314
The number of receptionists in Minnesota	r=0.94	20yrs	308
Burglaries in Alabama	r=0.88	38yrs	304
Sherbet consumption	r=0.85	32yrs	303
The divorce rate in Colorado	r=0.94	23yrs	302
The number of switchboard operators in Nevada	r=0.95	20yrs	298
Burglaries in Ohio	r=0.88	38yrs	294
The divorce rate in Delaware	r=0.94	23yrs	292
GMO use in corn grown in Texas	r=0.87	18yrs	290
The number of housekeepers in Ohio	r=0.94	20yrs	288
The divorce rate in Kentucky	r=0.94	23yrs	282
Burglaries in Indiana	r=0.87	38yrs	282
US average milk-fat content of cottage cheese	r=0.9	22yrs	280
The number of bill collectors in Ohio	r=0.94	20yrs	278
GMO use in corn grown in Texas	r=0.85	18yrs	278
The divorce rate in Oregon	r=0.94	23yrs	272
Burglaries in South Carolina	r=0.87	38yrs	272
The number of file clerks in Oregon	r=0.95	20yrs	268
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.89	22yrs	268
Robberies in Arizona	r=0.87	38yrs	262
The divorce rate in Arkansas	r=0.93	23yrs	260
The number of recreational therapists in Pennsylvania	r=0.95	20yrs	258
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.87	22yrs	256
The divorce rate in Florida	r=0.93	23yrs	250
Burglaries in Kentucky	r=0.86	38yrs	250
The number of receptionists in Puerto Rico	r=0.94	20yrs	248
Popularity of the first name Roberto	r=0.84	43yrs	248
US average milk-fat content of frozen dairy products	r=0.87	22yrs	246
The divorce rate in New Hampshire	r=0.93	23yrs	240
Burglaries in Mississippi	r=0.86	38yrs	240
The number of office clerks in Alabama	r=0.94	20yrs	237
The divorce rate in Virginia	r=0.93	23yrs	230
Burglaries in Nebraska	r=0.86	38yrs	230
The number of salespeople in Connecticut	r=0.94	20yrs	227
The divorce rate in Washington	r=0.93	23yrs	220
Robberies in Pennsylvania	r=0.86	38yrs	220
Popularity of the first name Ruben	r=0.84	43yrs	218
The number of computer programmers in Florida	r=0.93	20yrs	217
Burglaries in Delaware	r=0.85	38yrs	209
The marriage rate in Alaska	r=0.93	23yrs	208
Popularity of the first name Alissa	r=0.84	43yrs	208
The number of file clerks in Florida	r=0.94	20yrs	207
The divorce rate in West Virginia	r=0.92	23yrs	198
Popularity of the first name Rolando	r=0.84	43yrs	198
The number of computer programmers in Illinois	r=0.93	20yrs	197
Robberies in Puerto Rico	r=0.89	24yrs	191
The number of human resources assistants in Indiana	r=0.94	20yrs	187
The marriage rate in Louisiana	r=0.92	23yrs	187
Popularity of the first name Ricardo	r=0.83	43yrs	187
The number of telemarketers in Massachusetts	r=0.93	20yrs	177
The marriage rate in Nebraska	r=0.92	23yrs	177
Popularity of the first name Raul	r=0.83	43yrs	177
Arson in Iowa	r=0.85	22yrs	173
The number of switchboard operators in Mississippi	r=0.94	20yrs	167
The divorce rate in Maryland	r=0.91	23yrs	167
Popularity of the first name Ernesto	r=0.83	43yrs	167
Popularity of the first name Anthony	r=0.82	43yrs	156
Popularity of the first name Mario	r=0.82	43yrs	146

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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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