Top variables that correlate with The number of movies Eva Green appeared in

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Data source: The Movie DB
Additional Info: ^{See full details} Franklyn (2008); Cracks (2009); Womb (2010); Miss Peregrine's Home for Peculiar Children (2016); Proxima (2019); Nocebo (2022); The Dreamers (2003); Kingdom of Heaven (2005); Casino Royale (2006); Perfect Sense (2011); 300: Rise of an Empire (2014); White Bird in a Blizzard (2014); The Salvation (2014); Euphoria (2018); Based on a True Story (2017); Arsène Lupin (2004); Cinema, Sex, Politics: Bertolucci Makes ‘The Dreamers’ (2004); Dark Shadows (2012); Dumbo (2019); Dark Shadows: The Collinses - Every Family Has Its Demons (2012); The Three Musketeers: D'Artagnan (2023); The Three Musketeers: Milady (2023); Being James Bond (2021); Sin City: A Dame to Kill For (2014); Death in Venice: The Sinking Palazzo (2008); The Golden Compass (2007); James Bond: For Real (2006); Bond Girls Are Forever (2002); The Piano Teacher (2001)

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The number of movies Eva Green appeared in correlates with...

Variable	Correlation	Years	Has img?
Votes for Democratic Senators in Oklahoma	r=0.94	6yrs	No
Votes for Republican Senators in Alabama	r=0.93	6yrs	No
Biomass power generated in Sierra Leone	r=0.85	8yrs	No
Kerosene used in Laos	r=0.74	21yrs	No
Customer satisfaction with Rite Aid	r=0.62	16yrs	No

The number of movies Eva Green appeared in also correlates with...

Variable	Correlation	Years	Sys. Score
Votes for Democratic Senators in South Carolina	r=0.93	6yrs	278
Votes for Libertarian Senators in Texas	r=0.88	6yrs	210
Votes for Republican Senators in South Carolina	r=0.87	6yrs	199
Votes for Democratic Senators in North Dakota	r=0.86	6yrs	188
The average number of likes on 3Blue1Brown YouTube videos	r=0.74	9yrs	162
Highest sale price for a single-family home in Connecticut	r=0.68	16yrs	158
Automotive recalls issued by Harley-Davidson Motor Company	r=0.51	22yrs	139
Cumulative goals scored by Vincent Kompany in domestic matches	r=0.69	17yrs	136
Google searches for 'where do birds go when it rains'	r=0.62	20yrs	136
Dried manure used for fertilizer in the US	r=0.62	15yrs	133
Automotive recalls issued by General Motors	r=0.45	22yrs	130
Google searches for 'Malaysia Airlines'	r=0.64	16yrs	130
Biomass power generated in Iran	r=0.66	13yrs	130
Total likes of 3Blue1Brown YouTube videos	r=0.58	9yrs	128
Maria Sharapova's WTA Title Count	r=0.6	15yrs	121
Average number of comments on MinuteEarth YouTube videos	r=0.52	11yrs	121
Drenching rain in Phoenix	r=0.67	19yrs	117
Number of articles Matt Levine published on Bloomberg on Mondays	r=0.72	10yrs	114
US production of cream products	r=0.67	6yrs	112
The number of judges in Alabama	r=0.64	20yrs	112
Hot days in San Diego	r=0.66	16yrs	112
US dairy skim solids used to produce cream products	r=0.67	6yrs	111
Master's degrees awarded in Precision production	r=0.67	10yrs	110
Air pollution in Mobile, Alabama	r=0.83	7yrs	110
Google searches for 'teenage mutant ninja turtles'	r=0.47	20yrs	108
Popularity of the first name Doris	r=0.61	22yrs	108
Bloomberg Money Stuff articles about the SEC	r=0.66	10yrs	105
The distance between Uranus and Mars	r=0.54	23yrs	102
The number of school teachers in New Hampshire	r=0.59	13yrs	99
Arson in North Dakota	r=0.49	22yrs	99
UFO sightings in Louisiana	r=0.48	21yrs	96
Jet fuel used in Mozambique	r=0.59	21yrs	94
The number of advertising sales agents in Rhode Island	r=0.53	19yrs	94
Hot days in Los Angeles	r=0.52	19yrs	94
Points Scored by the losing team in the Super Bowl	r=-0.46	22yrs	92
How trendy Technology Connections YouTube video titles are	r=0.73	9yrs	90
Popularity of the first name Elsa	r=0.49	22yrs	90
Portion of all US dairy skim-solids allocated to the production of cream products	r=0.65	6yrs	86
Air pollution in Lawton, Oklahoma	r=0.62	12yrs	84
How trendy Deep Look YouTube video titles are	r=0.72	10yrs	80
Krispy Kreme Doughnuts store count in the US	r=-0.53	21yrs	78
Liquefied petroleum gas used in Solomon Islands	r=0.54	21yrs	76
Number of articles Matt Levine published on Bloomberg on Thursdays	r=0.5	10yrs	71
Number of articles Matt Levine published on Bloomberg.com	r=0.5	10yrs	71
Average length of Casually Explained YouTube videos	r=0.51	9yrs	68
Votes for Republican Senators in Oklahoma	r=0.82	6yrs	66
The number of professional painters in Louisiana	r=0.49	20yrs	60
Average temperature in San Diego	r=0.48	19yrs	58
US average milk-fat content of cream products	r=0.63	6yrs	54
The number of university engineering teachers in New Mexico	r=0.51	17yrs	50
How insightful Matt Parker's YouTube video titles are	r=0.62	13yrs	48
Votes for Democratic Senators in North Dakota	r=0.79	6yrs	42
Kobe Bryant's total free throw count in NBA regular season	r=-0.63	14yrs	40
The number of photographers in New Hampshire	r=0.48	20yrs	38
US milk fat used to produce evaporated and condensed milk	r=-0.61	21yrs	38
Rain in Detroit	r=0.46	18yrs	34
Votes for Democratic Senators in South Carolina	r=0.79	6yrs	32
How 'hip and with it' CGP Grey YouTube video titles are	r=0.57	13yrs	30
The number of training and development managers in North Dakota	r=0.49	19yrs	28
Liquefied petroleum gas used in Belize	r=-0.57	21yrs	22
The number of structural iron and steel workers in Alaska	r=0.48	19yrs	17
Votes for Democratic Senators in Louisiana	r=0.75	6yrs	16
How geeky Simone Giertz's YouTube video titles are	r=-0.88	10yrs	15
The number of dental laboratory technicians in New Hampshire	r=0.48	19yrs	7
Total length of AsapSCIENCE YouTube videos	r=-0.61	12yrs	5
Votes for Democratic Senators in Alaska	r=0.74	6yrs	4
The number of electrical power-line installers and repairers in Kansas	r=0.47	20yrs	-4
Votes for Republican Senators in Texas	r=0.74	6yrs	-6
How 'hip and with it' Technology Connections YouTube video titles are	r=0.61	9yrs	-8
The number of forest and conservation workers in Massachusetts	r=0.48	18yrs	-14
Votes for Republican Senators in Louisiana	r=0.72	6yrs	-18
How cool Technology Connections YouTube video titles are	r=0.6	9yrs	-19
The number of recreational therapists in New Jersey	r=0.46	20yrs	-25
Votes for Democratic Senators in Alaska	r=0.69	6yrs	-33
The number of postsecondary art, drama, and music teachers in North Dakota	r=0.46	20yrs	-35
How geeky OverSimplified YouTube video titles are	r=0.57	7yrs	-36
Votes for Republican Senators in Oklahoma	r=0.68	6yrs	-44
The number of laundry and dry-cleaning workers in Hawaii	r=0.45	20yrs	-46
How clickbait-y OverSimplified YouTube video titles are	r=0.56	7yrs	-47
Votes for Republican Senators in South Carolina	r=0.68	6yrs	-54
The number of criminal justice and law enforcement teachers in Oregon	r=0.46	19yrs	-56
How fun Deep Look YouTube video titles are	r=0.54	10yrs	-57
Votes for Libertarian Senators in New Jersey	r=0.68	6yrs	-64
The number of psychiatrists in West Virginia	r=0.45	20yrs	-66
How professional-sounding Simone Giertz's YouTube video titles are	r=0.52	10yrs	-70
Votes for Democratic Senators in Wisconsin	r=0.64	6yrs	-80
How cool Matt Parker's YouTube video titles are	r=0.5	13yrs	-80
The number of atmospheric and space scientists in District of Columbia	r=0.54	12yrs	-81
Votes for Democratic Senators in Florida	r=0.64	6yrs	-90
How professional-sounding CGP Grey YouTube video titles are	r=0.5	13yrs	-90
The number of wastewater treatment plant operators in Missouri	r=0.51	13yrs	-94
How fun Technology Connections YouTube video titles are	r=0.52	9yrs	-101
The number of transportation security screeners in North Dakota	r=0.53	11yrs	-104
Votes for Republican Senators in Montana	r=0.6	6yrs	-106
How clickbait-y minutephysics YouTube video titles are	r=0.49	13yrs	-112
The number of computer user support specialists in North Dakota	r=0.52	11yrs	-115

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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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