Top variables that correlate with The number of vending machine repairers in Illinois

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Data source: Bureau of Larbor Statistics
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The number of vending machine repairers in Illinois correlates with...

Variable	Correlation	Years	Sys. Score
Divorce rates in the United Kingdom	r=0.91	10yrs	314
Popularity of the first name Courteney	r=0.91	6yrs	292
Popularity of the first name Brittni	r=0.88	10yrs	276
Andy Roddick's ATP tournament wins	r=0.87	10yrs	258
Jet fuel used in Uzbekistan	r=0.78	19yrs	186
Popularity of the first name Dina	r=0.77	20yrs	185
Gasoline pumped in Belgium	r=0.77	20yrs	185
Gasoline pumped in France	r=0.77	20yrs	185
UK Music Album Sales	r=0.84	14yrs	171
Motor vehicle thefts in Illinois	r=0.71	20yrs	165
Annual U.S. inflation rate	r=0.75	20yrs	164
US milk fat used to produce cottage cheese	r=0.7	19yrs	155
Powerball lottery numbers	r=0.8	13yrs	152
Tesla's stock price (TSLA)	r=0.77	12yrs	150
Average length of SciShow Space YouTube videos	r=0.79	9yrs	150
How fun 'Be Smart' science YouTube video titles are	r=0.78	10yrs	149
The average number of likes on MrBeast's YouTube videos	r=0.77	11yrs	148
Google searches for 'climate change'	r=0.74	15yrs	144
Fortinet's stock price (FTNT)	r=0.77	13yrs	144
China's Rare Earth Element Export Volume	r=0.78	11yrs	141
US Hospital Occupancy Rate	r=0.72	17yrs	141
UK Public Library Count	r=0.77	12yrs	140
Yogurt consumption	r=-0.8	19yrs	138
Per capita consumption of margarine	r=0.79	7yrs	138
Popularity of the first name Jamesha	r=0.82	15yrs	138
US milk fat used to produce fluid beverage milk	r=0.68	19yrs	137
Global iPod Sales	r=0.73	9yrs	136
Broadcom's stock price (AVGO)	r=0.71	13yrs	136
Annual Changes in U.S. PPI for Commodities	r=0.66	20yrs	135
Intercountry adoptions	r=0.74	11yrs	135
Detroit Tigers' number of lost games in a specific season of the American League	r=0.65	20yrs	134
Jet fuel used in Barbados	r=0.77	19yrs	134
xkcd comics published about math	r=0.63	16yrs	132
The number of movies Halle Berry appeared in	r=0.59	20yrs	132
The number of movies Ian Holm appeared in	r=0.64	12yrs	132
Google searches for 'Johnny Depp'	r=0.63	19yrs	131
Google searches for 'elon musk'	r=0.66	13yrs	130
Annual US household spending on prescription drugs	r=0.63	20yrs	130
Votes for Democratic Senators in Illinois	r=0.77	6yrs	129
Motor vehicle thefts	r=0.56	20yrs	128
Popularity of the first name Katlin	r=0.83	13yrs	127
Air pollution in Springfield, Illinois	r=0.58	20yrs	126
Searches for 'never gonna give you up'	r=0.57	17yrs	126
Bloomberg Money Stuff articles about crypto	r=0.67	9yrs	126
Kerosene used in Egypt	r=0.77	19yrs	124
How clickbait-y MrBeast's YouTube video titles are	r=0.76	11yrs	117
Petroluem consumption in Uzbekistan	r=0.77	19yrs	114
Popularity of the first name Dajah	r=0.76	18yrs	112
How professional-sounding LEMMiNO YouTube video titles are	r=0.75	11yrs	106
ST Microelectronics' stock price (STM)	r=0.65	20yrs	104
Cottage cheese consumption	r=0.6	19yrs	102
Popularity of the first name Jelani	r=0.75	20yrs	102
Kerosene used in Philippines	r=0.76	19yrs	102
Google searches for 'who is prince william'	r=0.62	15yrs	97
Total length of SciShow Space YouTube videos	r=0.76	9yrs	95
Jet fuel used in Ukraine	r=0.76	19yrs	92
US average milk-fat content of frozen dairy products	r=0.65	19yrs	90
Popularity of the first name Iman	r=0.74	20yrs	90
MSCI Inc.'s stock price (MSCI)	r=0.63	15yrs	86
Number of internet users	r=-0.86	14yrs	84
How cool MrBeast's YouTube video titles are	r=0.73	11yrs	82
Fossil fuel use in Slovakia	r=0.73	19yrs	81
US average dairy skim-solid content of bulk evaporated and condensed milk	r=0.64	19yrs	78
Popularity of the first name Meaghan	r=0.74	18yrs	78
US birth rates of triplets or more	r=0.6	19yrs	77
How 'hip and with it' Computerphile YouTube video titles are	r=-0.94	10yrs	71
U.S. intercountry adoptions	r=0.64	19yrs	71
Kerosene used in Seychelles	r=0.75	19yrs	71
Popularity of the first name Trista	r=0.73	19yrs	68
US production of cottage cheese	r=0.61	19yrs	66
Median Weekly Earnings of Self-Employed Workers in the UK	r=0.71	11yrs	65
Brad Pitt's net worth	r=0.62	20yrs	60
Kerosene used in Hong Kong	r=0.74	19yrs	60
How provocative MrBeast's YouTube video titles are	r=0.7	11yrs	58
Popularity of the first name Mari	r=0.72	20yrs	58
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.63	19yrs	56
Greece's annual import volume	r=0.62	20yrs	54
Kerosene used in Nepal	r=0.74	19yrs	50
Viewership count for Days of Our Lives	r=0.59	19yrs	48
Popularity of the first name Chandra	r=0.74	17yrs	48
Average views of MrBeast's YouTube videos	r=0.68	11yrs	45
Portion of all US dairy skim-solids allocated to the production of sour cream	r=-0.78	19yrs	45
Kerosene used in Vietnam	r=0.74	19yrs	40
Popularity of the first name Dalia	r=0.71	20yrs	36
Average views of Steve Mould's YouTube videos	r=0.64	14yrs	32
Kerosene used in Burkina Faso	r=0.73	19yrs	28
Popularity of the first name Mikala	r=0.7	19yrs	24
How provocative MinuteEarth YouTube video titles are	r=0.65	10yrs	20
Jet fuel used in Cyprus	r=0.73	19yrs	18
Popularity of the first name Iesha	r=0.7	19yrs	14
Jet fuel used in Somalia	r=0.73	19yrs	8
Popularity of the first name Benito	r=0.69	20yrs	3
Kerosene used in Guinea	r=0.72	19yrs	-4
Popularity of the first name Samira	r=0.69	20yrs	-7
Kerosene used in Indonesia	r=0.71	19yrs	-15
Popularity of the first name Salvatore	r=0.68	20yrs	-18
Gasoline pumped in Somalia	r=0.71	19yrs	-25
Popularity of the first name Moesha	r=0.81	12yrs	-32
Kerosene used in Syria	r=0.71	19yrs	-35
Popularity of the first name Shaniqua	r=0.84	8yrs	-42

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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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