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Patents granted to International Business Machines correlates with...

VariableCorrelationYearsHas img?
Associates degrees awarded in Engineeringr=0.9811yrsNo
Cheddar cheese consumptionr=0.9511yrsNo
U.S. direct investment abroadr=0.9311yrsNo



Patents granted to International Business Machines also correlates with...

VariableCorrelationYearsSys. Score
Solar power generated in Burundir=0.9811yrs406
Associates degrees awarded in Physical sciencesr=0.9711yrs404
Associates degrees awarded in Physical sciencesr=0.9711yrs404
Electricity generation in Cabo Verder=0.9711yrs404
Electricity generation in Cambodiar=0.9711yrs404
Customer satisfaction with American Airlinesr=0.9511yrs401
US average milk-fat content of cheese (other than cottage cheese)r=0.9611yrs398
The number of paralegals in Oregonr=0.9810yrs384
The number of cartographers in South Dakotar=0.9711yrs384
Food spending in Californiar=0.9910yrs383
Food spending in Connecticutr=0.9910yrs383
Food spending in Mainer=0.9910yrs383
The number of registered nurses in Californiar=0.9710yrs382
How insightful Casually Explained YouTube video titles arer=0.978yrs376
Bachelor's degrees awarded in Engineeringr=0.9710yrs374
Hydopower energy generated in Ethiopiar=0.9711yrs374
Number of websites on the internetr=0.978yrs374
Percentage of Americans with social media profilesr=0.9511yrs371
US milk fat used to produce dry milk productsr=0.9511yrs370
Biomass power generated in Indiar=0.9711yrs364
Associates degrees awarded in Liberal artsr=0.9611yrs362
Biomass power generated in Irelandr=0.9711yrs354
How cool Casually Explained YouTube video titles arer=0.968yrs354
Food spending in Nebraskar=0.9910yrs353
The number of shampooers in Floridar=0.9612yrs352
How 'hip and with it' Casually Explained YouTube video titles arer=0.958yrs352
Associates degrees awarded in Communicationr=0.9511yrs351
US Sales of Artificial Christmas Treesr=0.958yrs346
Solar power generated in Madagascarr=0.9711yrs344
Restaurant spending in Connecticutr=0.9710yrs343
The number of registered nurses in Nevadar=0.9710yrs342
Associates degrees awarded in Precision productionr=0.9511yrs341
Gender pay gap in the U.S.r=0.9311yrs340
Number of Registered Vehicles in the USr=0.9411yrs338
Number of internet usersr=0.976yrs336
Revenue of US Broadcasting Industryr=0.9211yrs335
Electricity generation in Rwandar=0.9711yrs334
US Tree Nut Consumption per Personr=0.9111yrs334
Restaurant spending in South Carolinar=0.9710yrs333
The number of psychiatric technicians in Wisconsinr=0.9611yrs331
Electricity generation in Sudanr=0.9711yrs324
Food spending in Arizonar=0.9810yrs322
The number of college psychology teachers in Puerto Ricor=0.9611yrs321
American cheese consumptionr=0.9411yrs316
Biomass power generated in Zambiar=0.9711yrs314
Food spending in Colorador=0.9810yrs312
The number of sales managers in Delawarer=0.9511yrs310
American-type cheese consumptionr=0.9411yrs306
Petroluem consumption in Burmar=0.9911yrs304
Food spending in Indianar=0.9810yrs302
Associates degrees awarded in Science technologiesr=0.9511yrs301
Muenster cheese consumptionr=0.9411yrs296
Solar power generated in American Samoar=0.9710yrs293
Food spending in Kansasr=0.9810yrs292
How fun Casually Explained YouTube video titles arer=0.958yrs292
Italian-type cheese consumptionr=0.9311yrs284
Electricity generation in Bangladeshr=0.9611yrs282
Food spending in Kentuckyr=0.9810yrs282
How professional-sounding Casually Explained YouTube video titles arer=0.958yrs282
Mozzarella cheese consumptionr=0.9311yrs274
Fossil fuel use in Bangladeshr=0.9611yrs272
Food spending in Marylandr=0.9810yrs272
The number of registered nurses in Oklahomar=0.9610yrs270
The average number of likes on Casually Explained YouTube videosr=0.938yrs270
Renewable energy production in Botswanar=0.9610yrs262
Food spending in Massachusettsr=0.9810yrs262
Bachelor's degrees awarded in Parks & Recreationr=0.9510yrs262
How good Casually Explained YouTube video titles arer=0.938yrs260
The number of blender tenders in Georgiar=0.9412yrs259
US production of cheese (other than cottage cheese)r=0.9411yrs258
Solar power generated in Botswanar=0.9610yrs252
Food spending in Michiganr=0.9810yrs252
Associates degrees awarded in Philosophy and religious studiesr=0.9411yrs250
The number of flight attendants in Floridar=0.959yrs248
US milk fat used to produce cheese (excluding cottage cheese)r=0.9411yrs248
Solar power generated in Kenyar=0.9611yrs242
Food spending in Mississippir=0.9810yrs242
US dairy skim solids used to produce cheese (other than cottage cheese)r=0.9511yrs238
Associates degrees awarded in Mathematics and statisticsr=0.9311yrs238
Solar power generated in Samoar=0.9611yrs232
Food spending in Missourir=0.9810yrs232
Natural cheese consumptionr=0.9411yrs228
Associates degrees awarded in Historyr=0.9311yrs228
Biomass power generated in Tanzaniar=0.9611yrs222
Food spending in Montanar=0.9810yrs222
Bachelor's degrees awarded in Agriculturer=0.9310yrs218
US production of dry milk products (net)r=0.9111yrs214
Hydopower energy generated in Ugandar=0.9611yrs212
Food spending in New Hampshirer=0.9810yrs212
The number of paralegals in Arkansasr=0.9510yrs210
Associates degrees awarded in Multi/interdisciplinary studiesr=0.9211yrs206
Food spending in New Yorkr=0.9810yrs202
Portion of all US dairy skim-solids allocated to the production of dry milk products (net)r=0.9211yrs202
The number of financial examiners in North Dakotar=0.9511yrs200
Associates degrees awarded in Parks & Recreationr=0.9211yrs196
Food spending in North Dakotar=0.9810yrs192
US average dairy skim-solid content of fluid beverage milkr=0.9211yrs192
Milk-fat consumptionr=0.9111yrs171


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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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