Top variables that correlate with Votes for the Democratic Presidential candidate in North Dakota

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Data source: MIT Election Data and Science Lab, Harvard Dataverse
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Votes for the Democratic Presidential candidate in North Dakota correlates with...

Variable	Correlation	Years	Has img?
Petroluem consumption in Czechia	r=0.83	7yrs	Yes!

Votes for the Democratic Presidential candidate in North Dakota also correlates with...

Variable	Correlation	Years	Sys. Score
Annual US household spending on fresh milk and cream	r=0.96	6yrs	331
US household spending on utilities	r=0.9	6yrs	292
Number of goals scored by winners in NCAA Field Hockey Div II finals	r=0.89	7yrs	263
Annual US household spending on mortgage interest and charges	r=0.89	6yrs	260
Annual US household spending on vehicle insurance	r=0.88	6yrs	259
The number of movies Elizabeth Taylor appeared in	r=0.82	8yrs	154
The number of movies Robert Downey Jr. appeared in	r=0.76	11yrs	148
Gasoline Prices in the US	r=0.78	8yrs	144
Annual US household spending on natural gas	r=0.81	6yrs	144
British Open Golf Championship winner's score	r=0.75	11yrs	140
Academy Award Best Supporting Actress Winner Age	r=0.72	12yrs	140
The number of movies Lucy Liu appeared in	r=0.72	8yrs	140
Gasoline pumped in Syria	r=0.74	11yrs	136
Score Difference in the Final Game of the World Series	r=0.69	12yrs	134
Fossil fuel use in Croatia	r=0.72	8yrs	134
Rain in Sydney	r=0.68	12yrs	132
Annual US household spending on gasoline	r=0.78	6yrs	129
US household spending on electricity	r=0.78	6yrs	129
Popularity of the first name Kellen	r=0.67	11yrs	126
Popularity of the first name Kaylen	r=0.65	11yrs	123
US household spending on gasoline	r=0.73	6yrs	122
Popularity of the first name Vance	r=0.63	12yrs	121
Rain in Sydney	r=0.61	12yrs	121
US bank failures	r=0.64	6yrs	117
Afghanistan's Estimated Opium Production	r=0.66	8yrs	113
Customer satisfaction with The U.S. Postal Service	r=0.65	7yrs	112
Annual US household spending on prescription drugs	r=0.67	6yrs	112
US household spending on entertainment	r=0.66	6yrs	111
US Undergraduate Enrollment	r=0.65	6yrs	110
US average dairy skim-solid content of dry milk products (net)	r=0.65	6yrs	106
Rain in Sydney	r=0.57	12yrs	105
Hydopower energy generated in North Korea	r=0.7	11yrs	104
The number of movies Ben Kingsley appeared in	r=0.68	9yrs	104
Miss World's Age	r=0.58	11yrs	104
NCAA Women's Softball Championship (Div I) Final Score Difference Between Winners and Runner-Up	r=0.72	9yrs	103
Customer satisfaction with Apple	r=0.59	7yrs	103
The distance between Saturn and Jupiter	r=0.54	12yrs	100
Number of registered Honda motorcycles in the UK	r=0.58	6yrs	99
Number of registered Yamaha motorcycles in the UK	r=0.56	6yrs	96
GMO use in soybeans in North Dakota	r=0.52	6yrs	96
GMO use in soybeans in North Dakota	r=0.52	6yrs	96
Zdeno Chara's Seasonal Total Goal Assists	r=0.55	6yrs	94
Annual sales of the U.S. auto industry	r=-0.92	6yrs	94
Arson in North Dakota	r=0.47	9yrs	93
Hydopower energy generated in El Salvador	r=0.69	11yrs	92
GMO use in cotton	r=0.51	6yrs	92
The number of movies Javier Bardem appeared in	r=0.73	7yrs	90
Popularity of the first name Caylee	r=0.63	11yrs	90
Liquefied petroleum gas used in Burundi	r=0.73	8yrs	82
Liquefied petroleum gas used in United Kingdom	r=0.71	11yrs	72
Number of Earthquakes in the United States	r=0.62	6yrs	72
The number of movies Tom Cruise appeared in	r=0.65	9yrs	70
Popularity of the first name Draven	r=0.65	7yrs	69
GMO use in cotton	r=0.51	6yrs	62
Fossil fuel use in New Zealand	r=0.68	11yrs	60
US household spending on eggs	r=0.64	6yrs	58
Popularity of the first name Jaylen	r=0.63	8yrs	57
The number of movies Meryl Streep appeared in	r=0.6	10yrs	54
Average temperature in Perth	r=0.49	12yrs	53
Jet fuel used in Estonia	r=0.72	8yrs	50
Number of goals scored by the winning team in the NCAA Soccer Div II Championship Final	r=0.49	11yrs	50
Popularity of the first name Braydon	r=0.59	11yrs	44
Annual US household spending on postage and stationery	r=0.58	6yrs	44
Total Federal Construction Expenditure in the United States	r=0.53	6yrs	42
Petroluem consumption in French Polynesia	r=0.7	11yrs	40
The number of movies Humphrey Bogart appeared in	r=0.6	7yrs	40
Popularity of the first name Jordin	r=0.6	10yrs	34
US household spending on natural gas	r=0.55	6yrs	34
Kerosene used in Iraq	r=0.7	11yrs	30
The number of movies Edward Norton appeared in	r=0.58	7yrs	28
Popularity of the first name Keagan	r=0.58	11yrs	22
Jet fuel used in The Bahamas	r=0.7	11yrs	20
The number of movies Joseph Gordon-Levitt appeared in	r=0.57	9yrs	18
Gasoline pumped in Togo	r=0.7	11yrs	10
The number of movies Clint Eastwood appeared in	r=0.56	10yrs	8
Popularity of the first name Jamari	r=0.55	11yrs	8
Jet fuel used in Botswana	r=0.7	9yrs	-2
The number of movies James Stewart appeared in	r=0.57	8yrs	-3
Popularity of the first name Jaylin	r=0.56	8yrs	-3
Liquefied petroleum gas used in Canada	r=0.68	11yrs	-12
Popularity of the first name Kaylin	r=0.54	11yrs	-14
The number of movies Samuel L. Jackson appeared in	r=0.52	10yrs	-18
Hydopower energy generated in Philippines	r=0.65	11yrs	-24
Popularity of the first name Kaden	r=0.54	11yrs	-24
The number of movies Michelle Pfeiffer appeared in	r=0.55	6yrs	-28
Kerosene used in Ethiopia	r=0.68	9yrs	-34
Popularity of the first name Kaelyn	r=0.54	10yrs	-34
The number of movies Dustin Hoffman appeared in	r=0.51	11yrs	-39
Petroluem consumption in Syria	r=0.67	11yrs	-44
Popularity of the first name Caden	r=0.54	11yrs	-44
The number of movies Tilda Swinton appeared in	r=0.5	8yrs	-54
Popularity of the first name Kyleigh	r=0.53	11yrs	-55
Electricity generation in Bulgaria	r=0.64	11yrs	-56
Popularity of the first name Jovani	r=0.53	11yrs	-65
Kerosene used in Barbados	r=0.66	11yrs	-66
The number of movies Angelina Jolie appeared in	r=0.5	6yrs	-66
Popularity of the first name Jayden	r=0.54	9yrs	-76
The number of movies Christian Bale appeared in	r=0.48	8yrs	-76
Popularity of the first name Danica	r=0.5	12yrs	-88
The number of movies Audrey Hepburn appeared in	r=0.48	6yrs	-88

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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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