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Data source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function
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Cummins' stock price (CMI) correlates with...

VariableCorrelationYearsHas img?
The distance between Neptune and Uranusr=0.9622yrsYes!
Popularity of the first name Milesr=0.9521yrsYes!
Butter consumptionr=0.9520yrsYes!
Annual US household spending on fresh vegetablesr=0.9521yrsYes!
xkcd comics published about mapsr=0.7716yrsYes!


Cummins' stock price (CMI) also correlates with...

VariableCorrelationYearsSys. Score
Annual US household spending on fresh fruitsr=0.9621yrs431
Annual US household spending on fruits and vegetablesr=0.9521yrs430
Popularity of the first name Elsier=0.9521yrs428
Electricity generation in Zambiar=0.9720yrs413
Google searches for 'i am dizzy'r=0.9620yrs412
Renewable energy production in Zambiar=0.9620yrs412
Hydopower energy generated in Zambiar=0.9520yrs410
Apple's annual net incomer=0.9518yrs406
US Bottled Water Consumption per Personr=0.9221yrs401
Muenster cheese consumptionr=0.9120yrs400
Hispanic cheese consumptionr=0.9120yrs400
Popularity of the first name Felixr=0.9521yrs398
Annual US household spending on processed vegetablesr=0.9421yrs398
Annual US household spending on rented dwellingsr=0.9421yrs398
Annual US household spending on healthcarer=0.9421yrs398
GMO use in cottonr=0.9121yrs396
Annual US household spending on eggsr=0.9321yrs396
Annual US household spending on health insurancer=0.9321yrs396
US per-person consumption of bottled waterr=0.9221yrs395
Annual US household spending on cereals and bakery productsr=0.9221yrs395
Annual US household spending on bakery productsr=0.9221yrs395
How geeky PBS Space Time YouTube video titles arer=0.969yrs395
Global Rice Consumptionr=0.9214yrs388
The number of clergy in North Carolinar=0.9520yrs388
The number of medical assistants in Tennesseer=0.9520yrs388
Ticket prices at North American movie theatersr=0.9521yrs382
Google searches for 'i am tired'r=0.9420yrs382
GMO use in cotton in Californiar=0.9421yrs381
Popularity of the 'red pill blue pill' memer=0.9318yrs381
Inflation in the USr=0.9521yrs380
US Wind Power Generation Capacityr=0.9521yrs380
GMO use in corn grown in Nebraskar=0.922yrs379
Patents granted in the USr=0.9119yrs379
USA Populationr=0.9421yrs378
Annual Revenue of Walt Disney Companyr=0.9221yrs378
Google searches for 'do i need to go to the doctor'r=0.9420yrs378
U.S. direct investment abroadr=0.9320yrs377
Number of households headed by single fathers in the United Statesr=0.9320yrs377
Annual Revenue of the Lego Groupr=0.9420yrs377
Intel Corporation's annual revenuer=0.9321yrs376
Microsoft's Worldwide Earningsr=0.9321yrs376
Popularity of the first name Hudsonr=0.9521yrs368
US average milk-fat content of dry milk products (net)r=0.9220yrs361
Popularity of the first name Elianar=0.9521yrs358
US average dairy skim-solid content of fluid beverage milkr=0.9220yrs351
Hydopower energy generated in Greenlandr=0.9520yrs350
Popularity of the first name Arir=0.9521yrs348
Google searches for 'how to go to space'r=0.9420yrs348
Annual US household spending on poultryr=0.9221yrs345
Annual US household spending on property taxesr=0.9221yrs340
Portion of all US dairy skim-solids allocated to the production of dry milk products (net)r=0.9120yrs340
Fossil fuel use in Indonesiar=0.9520yrs340
Popularity of the first name Asherr=0.9521yrs338
Google searches for 'tummy ache'r=0.9320yrs337
US household spending on fresh fruitsr=0.9221yrs335
Annual US household spending on housingr=0.9121yrs329
Popularity of the first name Minar=0.9521yrs328
US average milk-fat content of cheese (other than cottage cheese)r=0.920yrs328
Total renewable energy production globallyr=0.9420yrs328
Google searches for 'highest paying jobs'r=0.9320yrs327
Economic output of Washington metro arear=0.9320yrs326
Annual US household spending on maintenance and repairsr=0.9121yrs324
Cost to send a letter via the USPSr=0.9117yrs321
Annual US household spending on medical suppliesr=0.9121yrs319
US average dairy skim-solid content of yogurt, nonfrozenr=0.920yrs318
Renewable energy production in Belgiumr=0.9420yrs318
Popularity of the first name Eliasr=0.9421yrs316
Annual US household spending on dairy productsr=0.921yrs312
Electricity generation in Boliviar=0.9420yrs308
Popularity of the first name Charlier=0.9421yrs306
US production of dry milk products (net)r=0.9520yrs298
Electricity generation in Costa Ricar=0.9420yrs298
Popularity of the first name Bennettr=0.9421yrs296
Wind power generated in Denmarkr=0.9420yrs288
US milk fat used to produce dry milk productsr=0.9420yrs287
Popularity of the first name Jasperr=0.9421yrs286
Solar power generated in Germanyr=0.9420yrs278
US dairy skim solids used to produce dry milk productsr=0.9520yrs277
Popularity of the first name Delilahr=0.9421yrs276
Electricity generation in Greenlandr=0.9420yrs268
Popularity of the first name Nicor=0.9421yrs266
US production of cheese (other than cottage cheese)r=0.9320yrs266
Wind power generated in Japanr=0.9420yrs258
US production of butterr=0.9320yrs256
Popularity of the first name Wesleyr=0.9321yrs255
Fossil fuel use in Sao Tome and Principer=0.9420yrs248
Popularity of the first name Henryr=0.9321yrs245
Electricity generation in Somaliar=0.9420yrs238
Popularity of the first name Naomir=0.9321yrs235
Solar power generated in Spainr=0.9420yrs228
Popularity of the first name Deanr=0.9321yrs225
Wind power generated in United Statesr=0.9420yrs218
Popularity of the first name Melodyr=0.9321yrs215
Total wind power generated globallyr=0.9320yrs207
Popularity of the first name Ivyr=0.9321yrs205
Fossil fuel use in Algeriar=0.9320yrs197
Electricity generation in Brazilr=0.9320yrs187


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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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