Top variables that correlate with The number of office clerks in Ohio

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Data source: Bureau of Larbor Statistics
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The number of office clerks in Ohio correlates with...

Variable	Correlation	Years	Sys. Score
How 'hip and with it' 3Blue1Brown YouTube video titles are	r=0.92	8yrs	303
How 'hip and with it' SciShow Space YouTube video titles are	r=0.87	9yrs	266
How good 3Blue1Brown YouTube video titles are	r=0.87	8yrs	266
How trendy SciShow Space YouTube video titles are	r=0.86	9yrs	235
Total views on OverSimplified YouTube videos	r=0.86	7yrs	223
Global iPod Sales	r=0.85	9yrs	154
UK Public Library Count	r=0.73	12yrs	134
Master's degrees awarded in consumer sciences	r=0.68	10yrs	131
Master's degrees awarded in Legal professions and studies	r=0.68	10yrs	131
Kobe Bryant's total free throw count in NBA regular season	r=0.7	12yrs	130
Gasoline pumped in Netherlands	r=0.64	20yrs	130
Popularity of the first name Simeon	r=0.62	20yrs	128
Petroluem consumption in Luxembourg	r=0.62	20yrs	128
Liquefied petroleum gas used in Slovenia	r=0.62	20yrs	128
Hot days in Sydney	r=0.6	20yrs	128
Kobe Bryant's Regular Season Points	r=0.65	14yrs	124
Mega millions lottery numbers	r=0.58	20yrs	123
The number of movies Gerard Butler appeared in	r=0.53	20yrs	123
Mizuho Financial Group's stock price (MFG)	r=0.6	16yrs	122
Popularity of the first name Carson	r=0.58	20yrs	122
Associate Professor salaries in the US	r=0.56	13yrs	121
Patents granted to Microsoft	r=0.62	12yrs	121
Banco Santander (Brasil)'s stock price (Brasil)	r=0.6	13yrs	119
Number of public school students in 6th grade	r=0.53	20yrs	118
xkcd comics published about pop culture	r=0.53	16yrs	118
Popularity of the 'hard pills to swallow' meme	r=0.52	17yrs	118
US household spending on laundry and cleaning supplies	r=0.54	20yrs	117
Popularity of the 'weird flex but ok' meme	r=0.51	17yrs	117
Points allowed by the Cincinnati Bengals	r=0.53	20yrs	116
The number of movies Nicolas Cage appeared in	r=0.48	20yrs	116
Number of times 20 was a winning Mega Millions number	r=0.5	20yrs	114
US household spending on housekeeping supplies	r=0.52	20yrs	114
Total number of batters faced by Joe Nathan	r=0.57	14yrs	112
Automotive recalls for issues with Trailer Hitches	r=0.51	20yrs	112
Popularity of the first name Ryann	r=0.52	20yrs	112
The number of movies Jon Hamm appeared in	r=0.45	20yrs	111
Amazon's Annual Outbound Shipping Expenditure in Millions	r=-0.91	11yrs	110
Amazon's shipping revenue in millions of dollars	r=-0.9	11yrs	109
Google searches for 'Brexit'	r=0.63	7yrs	109
Number of Botox Injections Administered to Women	r=-0.8	17yrs	108
Professor salaries in the US	r=0.54	13yrs	108
Number of public school students in 7th grade	r=0.46	20yrs	108
Carnival Corporation's stock price (CCL)	r=0.48	20yrs	108
Automotive recalls issued by Nissan North America	r=-0.71	20yrs	106
Instructor salaries in the US	r=0.53	13yrs	106
Master's degrees awarded in Physical sciences	r=0.57	10yrs	104
Average number of comments on Deep Look YouTube videos	r=0.81	9yrs	102
Age of US Open Tennis Champions (Men's Singles)	r=0.46	19yrs	102
Google searches for 'black hole photo'	r=0.52	14yrs	100
Popularity of the 'slaps roof of car' meme	r=0.46	17yrs	100
China's Rare Earth Element Export Volume	r=0.57	11yrs	99
Patents granted to International Business Machines	r=0.54	12yrs	99
xkcd comics published about cryptography	r=0.46	16yrs	97
Patents granted to Hewlett Packard	r=0.52	12yrs	96
Gasoline pumped in Estonia	r=0.6	20yrs	94
How professional-sounding SciShow Space YouTube video titles are	r=0.8	9yrs	91
Popularity of the first name Guy	r=0.52	20yrs	82
The average number of likes on Deep Look YouTube videos	r=0.8	9yrs	81
Nuclear power generation in Switzerland	r=0.56	19yrs	81
The number of movies Anjelica Huston appeared in	r=0.45	20yrs	81
Popularity of the first name Amberly	r=0.52	20yrs	72
Assistant Processor salaries in the US	r=0.5	13yrs	72
Total likes of OverSimplified YouTube videos	r=0.81	7yrs	70
Jet fuel used in Czechia	r=0.57	20yrs	70
The number of movies Tom Hanks appeared in	r=-0.69	20yrs	68
Score differential in Anglo-Welsh Cup final	r=0.48	16yrs	64
University Lecturer salaries in the US	r=0.5	13yrs	62
Gasoline pumped in New Zealand	r=0.57	20yrs	60
How fun Vihart's YouTube video titles are	r=0.75	14yrs	58
Popularity of the first name Asha	r=0.49	20yrs	58
The number of movies Jeremy Irons appeared in	r=-0.69	20yrs	58
Jet fuel used in New Zealand	r=0.57	20yrs	50
Popularity of the first name Rylie	r=0.49	20yrs	48
Total comments on Simone Giertz's YouTube videos	r=0.76	9yrs	45
The number of movies John Boyega appeared in	r=0.5	12yrs	40
Popularity of the first name Jamesha	r=0.52	15yrs	38
Jet fuel used in Ghana	r=0.55	19yrs	36
How good SciShow Space YouTube video titles are	r=0.74	9yrs	32
Popularity of the first name Joanna	r=0.48	20yrs	26
Hydopower energy generated in Thailand	r=0.49	19yrs	20
Average number of comments on Simone Giertz's YouTube videos	r=0.71	9yrs	18
Popularity of the first name Josue	r=0.46	20yrs	14
Kerosene used in Dominican Republic	r=0.51	19yrs	10
How insightful SciShow Space YouTube video titles are	r=0.7	9yrs	6
Popularity of the first name Bayley	r=0.46	20yrs	4
Jet fuel used in Armenia	r=0.5	19yrs	-2
Total comments on Deep Look YouTube videos	r=0.7	9yrs	-4
Jet fuel used in Bahrain	r=0.5	19yrs	-12
Popularity of the first name Tate	r=-0.69	20yrs	-12
Average views of Deep Look YouTube videos	r=0.69	9yrs	-16
Jet fuel used in Japan	r=0.49	20yrs	-22
Average views of Simone Giertz's YouTube videos	r=0.68	9yrs	-27
Jet fuel used in Slovenia	r=0.49	20yrs	-32
How fun SciShow Space YouTube video titles are	r=0.67	9yrs	-38
Kerosene used in Bolivia	r=0.49	19yrs	-43
Total likes of Simone Giertz's YouTube videos	r=0.67	9yrs	-48
Petroluem consumption in The Bahamas	r=0.48	19yrs	-54
Total comments on OverSimplified YouTube videos	r=0.73	7yrs	-62
Petroluem consumption in Finland	r=0.47	20yrs	-65
Petroluem consumption in New Zealand	r=0.47	20yrs	-75
Electricity generation in Antarctica	r=0.56	12yrs	-86

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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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