Top variables that correlate with The number of movies Karen Gillan appeared in

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Data source: The Movie DB
Additional Info: ^{See full details} We'll Take Manhattan (2012); Oculus (2013); Not Another Happy Ending (2013); Conventional (2015); Fun Size Horror: Volume Two (2015); Warning Labels (2015); The Party's Just Beginning (2018); Gunpowder Milkshake (2021); Eureka! (2019); Dual (2022); The Bubble (2022); Late Bloomers (2023); Doctor Who at the Proms (2010); All Creatures Here Below (2019); Doctor Who: A Christmas Carol (2010); Doctor Who: The Doctor, the Widow and the Wardrobe (2011); Doctor Who: Meanwhile in the TARDIS: Part 1 (2010); Doctor Who: Meanwhile in the TARDIS: Part 2 (2010); Bound for Greatness (2014); The Hoarding (2020); Doctor Who: Night and The Doctor: Bad Night (2012); Doctor Who: Night and The Doctor: Good Night (2012); Doctor Who: Let’s Kill Hitler Prequel (2011); Doctor Who: Pond Life (2012); Doctor Who: Good as Gold (2012); Alex & the List (2018); The Guardians of the Galaxy Holiday Special (2022); Outcast (2010); Jumanji: Welcome to the Jungle (2017); The Circle (2017); Doctor Who: The Time of the Doctor (2013); Jumanji: The Next Level (2019); The Call of the Wild (2020); Guardians of the Galaxy Vol. 3 (2023); Next Exit (2022); In a Valley of Violence (2016); 7 Days in Hell (2015); Spies in Disguise (2019); Heroes Manufactured (2017); Doctor Who Explained (2013); Guardians of the Galaxy Vol. 2 (2017); New Town Killers (2008); Stuber (2019); Doctor Who: Farewell to Matt Smith (2013); Marvel Studios Assembled: The Making of the Guardians of the Galaxy Vol. 3 (2023); Guardians of the Galaxy (2014); Thor: Love and Thunder (2022); Doctor Who Live: The Next Doctor (2013); Avengers: Infinity War (2018); Avengers: Endgame (2019); X (2022); The Big Short (2015); How Did We Get Here? (2022); Celebrating Marvel's Stan Lee (2019); Doctor Who Live: The Afterparty (2013)

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The number of movies Karen Gillan appeared in correlates with...

Variable	Correlation	Years	Sys. Score
How provocative 3Blue1Brown YouTube video titles are	r=0.87	9yrs	246
The number of amusement park attendants in Indiana	r=0.8	15yrs	146
The number of bellhops in Maryland	r=0.78	15yrs	144
The number of coaches and scouts in Nebraska	r=0.79	15yrs	144
Total number of passenger vehicles sold in China	r=0.82	7yrs	143
Mega millions lottery numbers	r=0.57	15yrs	136
Jet fuel used in Oman	r=0.69	14yrs	132
Jet fuel used in Azerbaijan	r=0.67	14yrs	129
NCAA Men's Lacrosse Div I Championship final point differential	r=0.63	15yrs	128
Google searches for 'best mousetrap'	r=0.63	16yrs	128
Air quality in Red Bluff, California	r=0.78	16yrs	127
Renewable energy production in Belize	r=0.63	14yrs	126
Aggregate score of winning team in Copa Libertadores Finals	r=0.74	7yrs	121
Automotive recalls for issues with the Wheels	r=0.51	15yrs	118
Google searches for 'Tom Cruise'	r=0.56	16yrs	118
Popularity of the 'aint nobody got time for that' meme	r=0.52	16yrs	118
How cool 'Be Smart' science YouTube video titles are	r=0.7	11yrs	118
Cosmopolitan's annual advertising revenue	r=0.7	6yrs	114
UFO sightings in Minnesota	r=0.64	14yrs	114
How clickbait-y 3Blue1Brown YouTube video titles are	r=0.69	9yrs	114
The Bank of Nova Scotia's stock price (BNS)	r=0.46	16yrs	111
Global revenue generated by Unilever Group	r=0.53	15yrs	110
UFO sightings in Arkansas	r=0.62	14yrs	110
Final match set count at Chennai Open	r=0.52	15yrs	109
Total sales of commercial vehicles in China	r=0.66	7yrs	109
UFO sightings in Connecticut	r=0.6	14yrs	108
Customer satisfaction with FOXNews.com	r=0.46	12yrs	108
Season wins for the Seattle Seahawks	r=0.5	16yrs	107
The price of gold	r=0.58	7yrs	104
Blue cheese consumption	r=0.55	14yrs	100
Number of passing touchdowns by Peyton Manning	r=0.6	6yrs	99
Canadian Carbon Dioxide Emissions	r=0.52	14yrs	98
Google searches for 'delorean'	r=0.5	16yrs	98
Popularity of the first name Romeo	r=0.59	15yrs	98
xkcd comics published about philosophy	r=0.47	16yrs	98
Popularity of the 'Maps Without New Zealand' meme	r=0.46	16yrs	98
Biomass power generated in Zimbabwe	r=0.63	14yrs	96
Number of Public Library Members in the UK	r=0.54	7yrs	96
Tornados in Oklahoma	r=0.5	15yrs	96
Points scored by the Detroit Lions	r=0.49	16yrs	96
Australia's Per Capita GDP	r=0.5	14yrs	95
Popularity of the first name Elisa	r=0.57	15yrs	95
Popularity of the first name Camille	r=0.56	15yrs	94
US household spending on transportation	r=0.55	15yrs	94
The number of budget analysts in Georgia	r=0.74	15yrs	92
Rain in Albuquerque	r=0.53	15yrs	92
Drenching rain in Austin	r=0.54	14yrs	92
Los Angeles Kings' National Hockey League standings	r=-0.9	7yrs	90
Number of Las Vegas Hotel Room Check-Ins	r=0.5	6yrs	90
Violent crime rates	r=-0.52	15yrs	90
Bachelor's degrees awarded in Liberal arts	r=0.6	10yrs	89
Total likes of Deep Look YouTube videos	r=0.48	10yrs	84
Petroluem consumption in Grenada	r=0.63	14yrs	83
The number of dentists in Arkansas	r=0.73	15yrs	82
UFO sightings in Montana	r=0.58	14yrs	74
The average number of likes on 3Blue1Brown YouTube videos	r=0.48	9yrs	73
Wind power generated in New Caledonia	r=0.6	14yrs	72
The number of preschool special education teachers in Wyoming	r=0.76	11yrs	71
Google searches for 'Minute Physics'	r=0.49	16yrs	67
Formula One World Drivers' Champion's Point Margin	r=0.49	15yrs	64
The number of paralegals in Colorado	r=0.73	13yrs	60
Average number of comments on 3Blue1Brown YouTube videos	r=0.46	9yrs	60
UFO sightings in Rhode Island	r=0.55	14yrs	60
Popularity of the first name Mohammad	r=0.54	15yrs	60
Jet fuel used in Burkina Faso	r=0.6	14yrs	58
Google searches for 'how much wood can a woodchuck chuck'	r=0.45	16yrs	51
The number of cooks, institution and cafeteria in New Hampshire	r=0.73	15yrs	50
Gasoline pumped in Iraq	r=0.6	14yrs	48
UFO sightings in Ohio	r=0.54	14yrs	48
How provocative OverSimplified YouTube video titles are	r=0.7	7yrs	44
Google searches for 'Johnny Depp'	r=0.45	16yrs	41
Total annual sales of Ford Motors in the United States	r=0.48	14yrs	39
UFO sightings in Virginia	r=0.54	14yrs	38
Jet fuel used in Latvia	r=0.58	15yrs	36
The number of hotel managers in Ohio	r=0.69	15yrs	34
How good Computerphile YouTube video titles are	r=0.61	11yrs	34
Petroluem consumption in Suriname	r=0.58	14yrs	26
The number of court and municipal clerks in Vermont	r=0.69	15yrs	24
How fun 3Blue1Brown YouTube video titles are	r=0.65	9yrs	18
Petroluem consumption in Canada	r=0.57	15yrs	15
The number of nursing instructors and teachers in North Carolina	r=0.68	15yrs	13
Petroluem consumption in Australia	r=0.56	15yrs	4
How clickbait-y OverSimplified YouTube video titles are	r=0.63	7yrs	4
The number of criminal justice and law enforcement teachers in New York	r=0.68	14yrs	2
Jet fuel used in Timor-Leste	r=0.57	14yrs	-6
The number of dining room and cafeteria attendants in Florida	r=0.66	15yrs	-10
Average views of 3Blue1Brown YouTube videos	r=0.59	9yrs	-10
Jet fuel used in Venezuela	r=0.57	14yrs	-16
The number of legislators in Michigan	r=0.66	14yrs	-20
Liquefied petroleum gas used in North Korea	r=0.56	14yrs	-27
The number of physical therapist aides in New York	r=0.66	15yrs	-30
Liquefied petroleum gas used in Thailand	r=0.56	14yrs	-37
The number of actuaries in Oregon	r=0.65	15yrs	-40
Electricity generation in U.S. Pacific Islands	r=0.54	14yrs	-48
The number of plumbers in Pennsylvania	r=0.65	15yrs	-50
Fossil fuel use in U.S. Pacific Islands	r=0.54	14yrs	-58
The number of occupational health and safety technicians in North Carolina	r=0.66	15yrs	-60
Jet fuel used in Haiti	r=0.55	14yrs	-69
The number of childcare workers in Louisiana	r=0.67	13yrs	-70
Gasoline pumped in North Korea	r=0.55	14yrs	-79
The number of library assistants in New Hampshire	r=0.65	15yrs	-82

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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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