Top variables that correlate with The number of restaurant cooks in Mississippi

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Data source: Bureau of Larbor Statistics
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The number of restaurant cooks in Mississippi correlates with...

Variable	Correlation	Years	Sys. Score
Milk-fat consumption	r=0.91	19yrs	379
Automotive recalls issued by Mercedes-Benz USA	r=0.9	20yrs	376
Popularity of the first name Joelle	r=0.93	20yrs	374
Fossil fuel use in Sudan	r=0.92	19yrs	374
Jet fuel used in Moldova	r=0.94	19yrs	374
Petroluem consumption in Turkiye	r=0.93	20yrs	374
US Sales of Artificial Christmas Trees	r=0.94	15yrs	372
Popularity of the first name Walter	r=0.92	20yrs	372
Popularity of the first name Wade	r=0.92	20yrs	372
Associates degrees awarded in Precision production	r=0.95	11yrs	371
Ryanair Holdings' stock price (RYAAY)	r=0.9	20yrs	371
Total likes of The Game Theorists YouTube videos	r=0.9	14yrs	371
US Bottled Water Consumption per Person	r=0.88	20yrs	344
The number of Breweries in the United States	r=0.87	20yrs	344
American cheese consumption	r=0.88	19yrs	344
Electricity generation in Cambodia	r=0.91	19yrs	343
American-type cheese consumption	r=0.87	19yrs	343
Gender pay gap in the U.S.	r=0.89	19yrs	342
Popularity of the first name Rhett	r=0.91	20yrs	341
Restaurant spending in Mississippi	r=0.9	18yrs	340
Total number of automotive recalls	r=0.88	20yrs	340
Google searches for 'smol'	r=0.89	19yrs	340
3M Company's stock price (MMM)	r=0.89	20yrs	340
Constellation Brands' stock price (STZ)	r=0.89	20yrs	340
Annual US household spending on alcoholic beverages	r=0.89	20yrs	340
How 'hip and with it' Mark Rober YouTube video titles are	r=0.9	12yrs	339
Texas Rangers' American League West Division finish position	r=0.88	20yrs	338
US per-person consumption of bottled water	r=0.88	20yrs	338
Annual US household spending on entertainment	r=0.88	20yrs	338
Annual US household spending on personal care products and services	r=0.88	20yrs	338
US Shoe Store Sales	r=0.88	19yrs	337
Number of Registered Vehicles in the US	r=0.88	19yrs	337
Median US Household Income	r=0.87	19yrs	336
US Annual Tax Revenue	r=0.87	19yrs	336
Google searches for 'dollar store near me'	r=0.86	19yrs	336
Automotive recalls for issues with the Air Bags	r=0.86	20yrs	335
Adidas Group's Global Net Sales	r=0.87	20yrs	334
Global revenue generated by Adidas	r=0.87	17yrs	334
Total Revenue of the NFL Teams	r=0.86	18yrs	333
Biomass power generated in Cambodia	r=0.91	19yrs	333
Votes for Democratic Senators in Mississippi	r=0.96	6yrs	332
Popularity of the first name Winston	r=0.91	20yrs	331
Food spending in Mississippi	r=0.85	18yrs	330
Electricity generation in Guatemala	r=0.91	19yrs	323
Popularity of the first name Rowan	r=0.91	20yrs	321
Electricity generation in Guinea-Bissau	r=0.91	19yrs	313
Italian-type cheese consumption	r=0.86	19yrs	312
Popularity of the first name Alden	r=0.9	20yrs	310
Markel's stock price (MKL)	r=0.9	20yrs	310
Annual US household spending on used cars	r=0.86	20yrs	305
Google searches for 'Rachel and Ross'	r=0.88	15yrs	304
Fossil fuel use in Guinea-Bissau	r=0.91	19yrs	303
Popularity of the first name Jolene	r=0.9	20yrs	300
Mozzarella cheese consumption	r=0.85	19yrs	300
Cigna's stock price (CI)	r=0.88	20yrs	298
Annual US household spending on food	r=0.85	20yrs	294
Wind power generated in South Africa	r=0.91	19yrs	293
Natural cheese consumption	r=0.89	19yrs	288
FedEx's stock price (FDX)	r=0.87	20yrs	288
Annual US household spending on healthcare	r=0.85	20yrs	284
Gasoline pumped in Eswatini	r=0.93	19yrs	283
General Dynamics' stock price (GD)	r=0.88	20yrs	278
Annual US household spending on health insurance	r=0.85	20yrs	274
Jet fuel used in North Macedonia	r=0.93	19yrs	273
US average milk-fat content of cheese (other than cottage cheese)	r=0.86	19yrs	271
Google searches for 'reddit'	r=0.85	15yrs	270
Hormel Foods' stock price (HRL)	r=0.87	20yrs	266
Solar power generated in United Kingdom	r=0.9	19yrs	262
Popularity of the first name Warren	r=0.9	20yrs	260
Number of websites on the internet	r=0.86	16yrs	256
Johnson & Johnson's stock price (JNJ)	r=0.86	20yrs	255
Gasoline pumped in El Salvador	r=0.92	19yrs	252
Popularity of the first name Tobias	r=0.9	20yrs	250
The Travelers Companies' stock price (TRV)	r=0.87	20yrs	245
Petroluem consumption in Eswatini	r=0.92	19yrs	242
Popularity of the first name Elena	r=0.89	20yrs	238
Comcast's stock price (CMCSA)	r=0.85	20yrs	234
Automotive recalls issued by Volkswagen Group of America	r=0.84	20yrs	232
Jet fuel used in Luxembourg	r=0.92	20yrs	232
Popularity of the first name Anastasia	r=0.89	20yrs	228
Petroluem consumption in North Macedonia	r=0.92	19yrs	222
Popularity of the first name Josephine	r=0.89	20yrs	218
Petroluem consumption in Philippines	r=0.92	19yrs	212
Popularity of the first name Rose	r=0.89	20yrs	208
Wind power generated in Philippines	r=0.91	17yrs	201
Popularity of the first name Regina	r=0.89	20yrs	198
Petroluem consumption in Guatemala	r=0.91	19yrs	190
Google searches for 'cat memes'	r=0.83	19yrs	189
Popularity of the first name Frances	r=0.89	20yrs	188
Gasoline pumped in Philippines	r=0.91	19yrs	180
Google searches for 'sushi near me'	r=0.84	19yrs	178
Popularity of the first name Ellis	r=0.89	20yrs	178
Popularity of the first name Khalid	r=0.89	20yrs	168
Popularity of the first name Marcelo	r=0.89	20yrs	158
Average number of milk cows in the United States	r=0.82	20yrs	157
Popularity of the first name Amalia	r=0.89	20yrs	148
The Walt Disney Company's stock price (DIS)	r=0.84	20yrs	122
Lockheed Martin's stock price (LMT)	r=0.84	20yrs	110
Dollar Tree's stock price (DLTR)	r=0.84	20yrs	100
Chubb's stock price (CB)	r=0.84	20yrs	87
Altria Group's stock price (MO)	r=0.84	20yrs	77

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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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