Top variables that correlate with The number of agricultural inspectors in Minnesota

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Data source: Bureau of Larbor Statistics
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The number of agricultural inspectors in Minnesota correlates with...

Variable	Correlation	Years	Sys. Score
How professional-sounding The Game Theorists YouTube video titles are	r=0.82	14yrs	174
Electricity generation in Benin	r=0.72	19yrs	160
Fossil fuel use in Benin	r=0.71	19yrs	158
How trendy LockPickingLawyer YouTube video titles are	r=0.84	8yrs	156
Petroluem consumption in North Macedonia	r=0.71	19yrs	155
How good Deep Look YouTube video titles are	r=0.81	9yrs	152
Number of times 7 was a winning Mega Millions number	r=0.68	18yrs	139
Mega millions lottery numbers	r=0.65	20yrs	136
Javier Mascherano's International Match Count	r=0.72	14yrs	135
Popularity of the first name Hassan	r=0.67	20yrs	135
Total Number of Successful Mount Everest Climbs	r=0.71	9yrs	134
Number of times 10 was a winning Mega Millions number	r=0.63	20yrs	134
The distance between Mars and Earth	r=0.63	20yrs	132
The distance between Mars and the moon	r=0.63	20yrs	132
Popularity of the first name Moses	r=0.65	20yrs	132
xkcd comics published about technology	r=0.63	16yrs	132
Rain in Paris	r=0.66	16yrs	132
The number of movies Kate Winslet appeared in	r=0.59	20yrs	132
The number of movies Brie Larson appeared in	r=0.59	20yrs	132
Number of times 14 was a winning Mega Millions number	r=0.61	20yrs	130
Google searches for 'funny cat videos'	r=0.62	19yrs	130
Number of edits to the Wikipedia article for Justin Trudeau	r=0.6	19yrs	130
The distance between Mars and Mercury	r=0.61	20yrs	129
US Annual Tax Revenue	r=0.62	19yrs	128
Popularity of the first name Jamison	r=0.62	20yrs	128
Air quality in St. Cloud, Minnesota	r=0.59	20yrs	128
The number of movies Jeremy Renner appeared in	r=0.56	20yrs	128
Milk-fat consumption	r=0.56	19yrs	127
US Shoe Store Sales	r=0.61	19yrs	126
Gender pay gap in the U.S.	r=0.58	19yrs	125
Jet fuel used in Gibraltar	r=0.7	19yrs	124
Cheddar cheese consumption	r=0.54	19yrs	124
US kids in public school	r=0.57	20yrs	124
Automotive recalls issued by Chrysler	r=0.55	20yrs	123
Annual comic book sales in North America	r=0.58	19yrs	122
Portion of all US dairy skim-solids allocated to the production of cheese (other than cottage cheese)	r=0.59	19yrs	122
Associates degrees awarded in Theology	r=0.62	11yrs	122
Drenching rain in Paris	r=0.59	16yrs	122
Automotive recalls for issues with the Air Bags	r=0.57	20yrs	121
Texas Rangers' American League West Division finish position	r=0.56	20yrs	120
Number of Registered Vehicles in the US	r=0.57	19yrs	120
Number of times 12 was a winning Mega Millions number	r=0.54	20yrs	120
Popularity of the 'starter pack' meme	r=0.53	17yrs	120
Rain in Minneapolis	r=0.55	20yrs	120
Age of US Open Tennis Champions (Men's Singles)	r=0.56	19yrs	118
Number of times 9 was a winning Mega Millions number	r=0.54	18yrs	118
Number of public school students in 11th grade	r=0.53	20yrs	118
Google searches for 'Rachel and Ross'	r=0.57	15yrs	118
Air pollution in Bemidji, Minnesota	r=0.53	20yrs	118
Liquefied petroleum gas used in Seychelles	r=0.7	19yrs	114
How fun Computerphile YouTube video titles are	r=0.75	10yrs	114
Petroluem consumption in Latvia	r=0.68	20yrs	102
Number of Mr Beast videos published	r=0.77	11yrs	102
The number of movies Alicia Vikander appeared in	r=0.54	20yrs	94
Popularity of the first name Kori	r=0.59	20yrs	93
Italian-type cheese consumption	r=0.53	19yrs	92
Average views of Mark Rober YouTube videos	r=0.7	12yrs	89
Rain in Minneapolis	r=0.53	20yrs	87
Popularity of the first name Rayna	r=0.59	20yrs	83
American cheese consumption	r=0.52	19yrs	80
How provocative Deep Look YouTube video titles are	r=0.72	9yrs	79
The number of movies Marlon Brando appeared in	r=0.5	20yrs	78
Electricity generation in Aruba	r=0.67	19yrs	77
American-type cheese consumption	r=0.52	19yrs	70
Popularity of the first name Noel	r=0.57	20yrs	70
The number of movies Helen Mirren appeared in	r=0.5	20yrs	68
Liquefied petroleum gas used in Pakistan	r=0.69	19yrs	67
How insightful Mark Rober YouTube video titles are	r=0.68	12yrs	66
Mozzarella cheese consumption	r=0.52	19yrs	60
Popularity of the first name Alessandra	r=0.57	20yrs	60
Global Box Office Revenue of UK Films	r=0.51	20yrs	57
Liquefied petroleum gas used in Hungary	r=0.66	20yrs	54
Popularity of the first name Lana	r=0.57	20yrs	50
Natural cheese consumption	r=0.55	19yrs	48
How 'hip and with it' Mark Rober YouTube video titles are	r=0.6	12yrs	44
Liquefied petroleum gas used in Malta	r=0.66	19yrs	42
Popularity of the first name Dallas	r=0.56	20yrs	39
How provocative Numberphile YouTube video titles are	r=0.59	12yrs	32
Wind power generated in Faroe Islands	r=0.63	19yrs	31
Popularity of the first name Owen	r=0.56	20yrs	29
How nerdy Steve Mould's YouTube video titles are	r=0.57	14yrs	21
Petroluem consumption in Nicaragua	r=0.64	19yrs	20
Popularity of the first name Joy	r=0.56	20yrs	19
How 'hip and with it' The Game Theorists YouTube video titles are	r=0.57	14yrs	11
Petroluem consumption in Tunisia	r=0.64	19yrs	10
Popularity of the first name Aliza	r=0.56	20yrs	9
Liquefied petroleum gas used in France	r=0.63	20yrs	-1
Popularity of the first name Ishmael	r=0.56	20yrs	-1
How professional-sounding Tom Scott's YouTube video titles are	r=0.55	14yrs	-2
Kerosene used in Mexico	r=0.65	17yrs	-11
How fun Steve Mould's YouTube video titles are	r=0.55	14yrs	-12
Popularity of the first name Mia	r=0.55	20yrs	-13
Fossil fuel use in Saint Vincent/Grenadines	r=0.61	19yrs	-22
How provocative Casually Explained YouTube video titles are	r=0.65	8yrs	-22
Popularity of the first name Sebastian	r=0.55	20yrs	-23
Liquefied petroleum gas used in Aruba	r=0.63	19yrs	-32
Popularity of the first name Killian	r=0.55	20yrs	-33
Jet fuel used in Cayman Islands	r=0.63	19yrs	-42
Popularity of the first name Mona	r=0.55	20yrs	-43
Petroluem consumption in Pakistan	r=0.63	19yrs	-52
Jet fuel used in Romania	r=0.63	19yrs	-62

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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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