Top variables that correlate with Votes for Libertarian Senators in Arizona

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Data source: MIT Election Data and Science Lab, Harvard Dataverse
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Votes for Libertarian Senators in Arizona correlates with...

Variable	Correlation	Years	Has img?
Runs scored by the Arizona Diamondbacks	r=0.88	7yrs	No
Wins for the Arizona Diamondbacks	r=0.88	7yrs	No
Number of seasons Manchester United won matches	r=0.86	13yrs	No
Aggregate score of winning team in Copa Libertadores Finals	r=0.62	12yrs	No

Votes for Libertarian Senators in Arizona also correlates with...

Variable	Correlation	Years	Sys. Score
US household spending on public transportation	r=0.9	6yrs	292
The number of movies Keira Knightley appeared in	r=0.86	6yrs	264
Passenger traffic at Hartsfield-Jackson Atlanta International Airport	r=0.86	6yrs	262
US household spending on tobacco products and smoking supplies	r=0.87	6yrs	258
Academy Awards Ceremony Audience Size	r=0.86	6yrs	256
Gasoline pumped in Falkland Islands	r=0.87	6yrs	256
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.85	6yrs	253
The number of movies Viggo Mortensen appeared in	r=0.79	10yrs	152
US production of fluid beverage milk	r=0.84	6yrs	148
Customer satisfaction with Whirlpool	r=0.8	8yrs	146
The number of movies Lucy Liu appeared in	r=0.76	8yrs	146
US household spending on maintenance and repairs	r=0.82	6yrs	145
Customer satisfaction with UPS	r=0.77	8yrs	141
Jet fuel used in Cyprus	r=0.76	12yrs	140
Number of International Tourist Arrivals Worldwide	r=0.77	7yrs	138
Jet fuel used in Pakistan	r=0.73	12yrs	136
GMO use in cotton	r=0.8	6yrs	135
Annual US household spending on public transportation	r=0.8	6yrs	132
Popularity of the first name Kendall	r=0.69	13yrs	131
Popularity of the first name Darien	r=0.69	13yrs	131
Popularity of the first name Dalia	r=0.69	13yrs	131
US household spending on vehicle insurance	r=0.79	6yrs	130
US Tobacco Production	r=0.78	6yrs	129
Asthma attacks in American children	r=0.75	6yrs	129
GMO use in cotton	r=0.72	6yrs	123
NCAA Men's Skiing champion's points	r=0.63	12yrs	122
US household spending on prescription drugs	r=0.73	6yrs	122
Number of games won by Detroit Red Wings in NHL season	r=0.61	13yrs	120
Air pollution in Flagstaff, Arizona	r=0.59	12yrs	120
Number of Las Vegas Hotel Room Check-Ins	r=0.58	12yrs	118
The divorce rate in Arizona	r=0.7	6yrs	118
US household spending on food	r=0.71	6yrs	118
US average dairy skim-solid content of cottage cheese	r=0.72	6yrs	117
Annual US household spending on clothing	r=0.7	6yrs	117
Annual US household spending on clothing for men	r=0.7	6yrs	117
US household spending on fresh milk and cream	r=0.7	6yrs	117
The yearly batting average of the New York Yankees	r=0.58	13yrs	116
Automotive recalls for issues with the Child Seat	r=0.59	12yrs	116
Customer satisfaction with Customer Shipping	r=0.65	8yrs	113
The number of movies Kevin Spacey appeared in	r=0.72	10yrs	112
Customer satisfaction with FedEx	r=0.64	8yrs	112
Jet fuel used in Iraq	r=0.7	12yrs	102
Popularity of the first name Tiana	r=0.67	13yrs	98
The number of movies Ian McKellen appeared in	r=0.69	10yrs	97
Jet fuel used in Sweden	r=0.7	12yrs	92
Popularity of the first name Trayvon	r=0.67	12yrs	87
The number of movies Timothy Spall appeared in	r=0.66	11yrs	84
National Lacrosse League Finalist Score Difference	r=0.65	9yrs	82
Kerosene used in Libya	r=0.69	12yrs	80
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.67	6yrs	80
Popularity of the first name Blake	r=0.66	13yrs	76
Kerosene used in Ethiopia	r=0.69	10yrs	68
US household spending on clothing for men	r=0.7	6yrs	67
Popularity of the first name Keyanna	r=0.66	13yrs	66
The number of movies Frances McDormand appeared in	r=0.69	7yrs	64
US household spending on clothing	r=0.69	6yrs	60
Jet fuel used in Iran	r=0.68	12yrs	58
Popularity of the first name Darrien	r=0.66	13yrs	56
The number of movies Brendan Gleeson appeared in	r=0.68	7yrs	53
US household spending on clothin for women	r=0.67	6yrs	52
Kerosene used in Eswatini	r=0.69	9yrs	47
US household spending on personal care products and services	r=0.67	6yrs	47
Popularity of the first name Eduardo	r=0.65	13yrs	45
Movie ticket sales in the U.S. and Canada by year	r=0.61	12yrs	40
US household spending on shoes	r=0.65	6yrs	40
Jet fuel used in Switzerland	r=0.66	12yrs	36
Popularity of the first name Jazmine	r=0.65	13yrs	35
US household spending on gasoline	r=0.65	6yrs	35
The number of movies Russell Crowe appeared in	r=0.65	8yrs	29
Annual US household spending on clothin for women	r=0.64	6yrs	28
Popularity of the first name Darby	r=0.65	13yrs	25
Liquefied petroleum gas used in Australia	r=0.66	11yrs	24
Popularity of the first name Darion	r=0.65	13yrs	15
Petroluem consumption in Mexico	r=0.65	12yrs	14
The number of movies Christian Bale appeared in	r=0.61	9yrs	14
Popularity of the first name Darrian	r=0.65	13yrs	5
The number of movies Javier Bardem appeared in	r=0.61	9yrs	4
Jet fuel used in Algeria	r=0.64	12yrs	2
Popularity of the first name Darrion	r=0.65	13yrs	-5
Jet fuel used in Iceland	r=0.64	12yrs	-8
The number of movies Don Cheadle appeared in	r=0.6	9yrs	-8
Popularity of the first name Cristobal	r=0.65	13yrs	-15
Jet fuel used in Jordan	r=0.64	12yrs	-18
The number of movies Sally Field appeared in	r=0.58	10yrs	-20
Popularity of the first name Magaly	r=0.65	13yrs	-25
Kerosene used in Kenya	r=0.64	12yrs	-28
The number of movies Katharine Hepburn appeared in	r=0.59	6yrs	-32
Popularity of the first name Deion	r=0.64	13yrs	-36
Kerosene used in Nigeria	r=0.62	12yrs	-40
The number of movies Amy Adams appeared in	r=0.59	6yrs	-42
Popularity of the first name Mollie	r=0.64	13yrs	-46
Kerosene used in Botswana	r=0.61	12yrs	-52
The number of movies Susan Sarandon appeared in	r=0.54	13yrs	-52
Popularity of the first name Markel	r=0.64	13yrs	-56
Jet fuel used in Tunisia	r=0.61	12yrs	-62
Popularity of the first name Kendell	r=0.64	13yrs	-66
Liquefied petroleum gas used in Eswatini	r=0.6	12yrs	-74

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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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