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Data source: Energy Information Administration
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Electricity generation in Georgia correlates with...

VariableCorrelationYearsSys. Score
GMO use in cornr=0.9622yrs418
Ticket prices at North American movie theatersr=0.9821yrs417
GMO use in cottonr=0.9722yrs416
U.S. direct investment abroadr=0.9722yrs415
US production of cheese (other than cottage cheese)r=0.9722yrs414
US milk fat used to produce cheese (excluding cottage cheese)r=0.9722yrs414
Annual US household spending on rented dwellingsr=0.9722yrs414
Economic output of Washington metro arear=0.9721yrs412
US Wind Power Generation Capacityr=0.9622yrs412
US production of sour creamr=0.9622yrs412
Cognizant Technology Solutions' stock price (CTSH)r=0.9720yrs412
Annual US household spending on fresh fruitsr=0.9622yrs412
Annual US household spending on maintenance and repairsr=0.9622yrs412
Total Revenue of the NFL Teamsr=0.9620yrs410
Google searches for 'tummy ache'r=0.9618yrs410
Annual US household spending on telephone servicesr=0.9522yrs410
Annual US household spending on healthcarer=0.9522yrs410
Annual US household spending on health insurancer=0.9522yrs410
US household spending on rented dwellingsr=0.9522yrs410
Adidas Group's Global Net Salesr=0.9622yrs409
Global annual electricity generationr=0.9717yrs408
GMO use in corn grown in Nebraskar=0.9722yrs400
Food spending in Arizonar=0.9724yrs394
The number of sonographers in Virginiar=0.9719yrs392
The number of registered nurses in Arizonar=0.9818yrs391
The number of paralegals in Illinoisr=0.9718yrs391
US dairy skim solids used to produce cheese (other than cottage cheese)r=0.9722yrs382
Popularity of the first name Whitleyr=0.9130yrs381
Annual US household spending on fruits and vegetablesr=0.9522yrs380
Annual US household spending on fresh vegetablesr=0.9422yrs379
US household spending on healthcarer=0.9422yrs379
Annual Revenue of the Lego Groupr=0.9519yrs378
Google searches for 'i am tired'r=0.9318yrs378
The Coca-Cola Company's stock price (KO)r=0.9220yrs378
McDonald's stock price (MCD)r=0.9220yrs378
US per-person consumption of bottled waterr=0.9223yrs377
Popularity of the 'red pill blue pill' memer=0.9116yrs376
China's Annual Passenger Car Productionr=0.9518yrs376
Revenue of US Broadcasting Industryr=0.9517yrs376
Google searches for 'ice bath'r=0.9418yrs376
Customer satisfaction with Motorolar=0.9318yrs375
US average milk-fat content of cheese (other than cottage cheese)r=0.9622yrs369
GMO use in corn grown in Kansasr=0.9622yrs368
The number of paralegals in Nebraskar=0.9718yrs361
GMO use in corn grown in Missourir=0.9622yrs358
The number of registered nurses in South Carolinar=0.9818yrs351
Colgate-Palmolive Company's stock price (CL)r=0.9520yrs348
GMO use in corn grown in Minnesotar=0.9522yrs346
Google searches for 'highest paying jobs'r=0.9418yrs346
The number of pharmacy technicians in Californiar=0.9719yrs340
Italian-type cheese consumptionr=0.9127yrs337
Novo Nordisk's stock price (NVO)r=0.9420yrs337
GMO use in corn grown in Wisconsinr=0.9522yrs336
Google searches for 'do i need to go to the doctor'r=0.9418yrs336
US Bottled Water Consumption per Personr=0.9223yrs333
The number of registered nurses in Colorador=0.9718yrs330
US household spending on health insurancer=0.9422yrs329
Oracle's stock price (ORCL)r=0.9420yrs327
GMO use in cotton in Texasr=0.9722yrs326
American-type cheese consumptionr=0.927yrs326
Google searches for 'cold shower'r=0.9318yrs325
Rolls-Royce annual production volumer=0.9317yrs324
Annual US household spending on foodr=0.9322yrs323
The number of medical assistants in Idahor=0.9719yrs320
Annual US household spending on eggsr=0.9322yrs318
Public Storage's stock price (PSA)r=0.9420yrs317
Google searches for 'i am dizzy'r=0.9318yrs315
GMO use in corn grown in Texasr=0.9717yrs314
Annual US household spending on medical servicesr=0.9322yrs313
The number of physician assistants in Michiganr=0.9719yrs310
US production of dry milk products (net)r=0.9522yrs310
Annual US household spending on medical suppliesr=0.9322yrs308
Dollar Tree's stock price (DLTR)r=0.9220yrs307
Annual US household spending on housingr=0.9222yrs301
GMO use in cotton in Alabamar=0.9617yrs300
The number of sonographers in Michiganr=0.9619yrs300
Natural cheese consumptionr=0.9127yrs300
Annual US household spending on property taxesr=0.9222yrs296
Canadian National Railway Company's stock price (CNI)r=0.9320yrs296
Annual US household spending on pets, toys, and hobbiesr=0.9222yrs291
The number of producers and directors in New Yorkr=0.9719yrs290
US dairy skim solids used to produce dry milk productsr=0.9522yrs289
Annual US household spending on educationr=0.9321yrs286
General Mills' stock price (GIS)r=0.9220yrs286
US household spending on fresh fruitsr=0.9222yrs281
The number of physician assistants in New Yorkr=0.9719yrs280
US production of butterr=0.9322yrs278
The number of pharmacists in North Carolinar=0.9619yrs270
US milk fat used to produce butterr=0.9322yrs268
The number of bartenders in North Carolinar=0.9619yrs260
US milk fat used to produce yogurtr=0.9322yrs258
The number of social and community service managers in Oregonr=0.9719yrs250
US dairy skim solids used to produce butterr=0.9322yrs246
The number of network systems administrators in South Dakotar=0.9718yrs240
US dairy skim solids used to produce yogurt, nonfrozenr=0.9322yrs236
The number of registered nurses in Texasr=0.9718yrs230
US average dairy skim-solid content of cheese (other than cottage cheese)r=0.9422yrs226
The number of pharmacy technicians in Utahr=0.9719yrs220
US average dairy skim-solid content of fluid beverage milkr=0.9422yrs216
The number of registered nurses in Wisconsinr=0.9718yrs210
The number of OSHA specialists in Kentuckyr=0.9718yrs200


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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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