Top variables that correlate with Votes for Democratic Senators in North Dakota

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

Variable	Correlation	Years	Has img?
US household spending on alcoholic beverages	r=0.9	7yrs	No
Google searches for 'why isnt 11 pronounced onety one'	r=0.85	6yrs	No
Google searches for 'black holes'	r=0.73	6yrs	No
The distance between Venus and the Sun	r=-0.49	14yrs	No

Votes for Democratic Senators in North Dakota also correlates with...

Variable	Correlation	Years	Sys. Score
The number of movies Daniel Day-Lewis appeared in	r=0.94	6yrs	306
Google searches for 'helicopter accident'	r=0.91	6yrs	295
Kerosene used in Central African Republic	r=0.86	11yrs	274
The number of movies Eva Green appeared in	r=0.86	6yrs	264
US household spending on new cars	r=0.87	7yrs	258
The number of training and development managers in North Dakota	r=0.86	6yrs	256
Petroluem consumption in Antarctica	r=0.82	13yrs	166
Kerosene used in Montserrat	r=0.84	11yrs	152
Google searches for 'suez canal'	r=0.85	6yrs	151
The number of college history teachers in North Dakota	r=0.84	6yrs	148
US milk fat used to produce cottage cheese	r=0.83	7yrs	148
Total value of all $1 bills printed	r=0.77	10yrs	146
The number of telecommunications line installers and repairers in North Dakota	r=0.83	6yrs	146
Popularity of the first name Lourdes	r=0.78	14yrs	146
US Employment Rate	r=0.8	10yrs	146
AIG's stock price (AIG)	r=0.82	6yrs	145
Citigroup's stock price (C)	r=0.82	6yrs	145
Popularity of the first name Benito	r=0.77	14yrs	144
Annual US household spending on clothin for women	r=0.8	7yrs	143
Processed cheese consumption	r=0.74	8yrs	142
Popularity of the first name Ruben	r=0.75	14yrs	141
US household spending on transportation	r=0.78	7yrs	140
US household spending on furniture	r=0.78	7yrs	140
US production of cottage cheese	r=0.77	7yrs	138
U.S. intercountry adoptions	r=0.77	7yrs	138
Annual U.S. inflation rate	r=0.73	10yrs	136
Annual growth rate of US Real GDP	r=0.73	10yrs	136
The number of movies Miranda Otto appeared in	r=0.68	9yrs	134
The distance between Neptune and Venus	r=0.67	14yrs	132
Lloyds Banking Group's stock price (LYG)	r=0.8	6yrs	132
Time Person of the Year's Age at Recognition	r=0.73	9yrs	132
Final Match Score Difference in the Volkswagen Challenger Set	r=0.8	6yrs	132
Number of edits to the Wikipedia article for spurious relationship	r=0.76	6yrs	130
Car crashes in the US	r=0.73	8yrs	130
Motor vehicle thefts	r=0.62	12yrs	128
GMO use in cotton	r=0.74	7yrs	127
US household spending on fish and seafood	r=0.75	7yrs	126
Physical album shipment volume in the United States	r=0.75	7yrs	126
US household spending on postage and stationery	r=0.74	7yrs	124
US household spending on clothin for women	r=0.73	7yrs	122
Craig Bellamy's appearances in matches for the Wales national team	r=0.75	6yrs	122
Fossil fuel use in Slovakia	r=0.82	9yrs	120
Popularity of the first name Tania	r=0.75	14yrs	111
Kerosene used in Indonesia	r=0.8	13yrs	108
US dairy skim solids used to produce cottage cheese	r=0.76	7yrs	106
Google searches for 'Justin Timberlake'	r=0.79	6yrs	102
Disney movies released	r=0.73	7yrs	100
Popularity of the first name Maria	r=0.74	14yrs	100
The number of postsecondary art, drama, and music teachers in North Dakota	r=0.78	6yrs	99
Johnson Controls International's stock price (JCI)	r=0.78	6yrs	99
Kerosene used in Belize	r=0.82	8yrs	96
US average dairy skim-solid content of cheese (other than cottage cheese)	r=0.76	7yrs	94
Google searches for 'learn spanish'	r=0.78	6yrs	90
Popularity of the first name Diana	r=0.74	14yrs	90
The number of movies Ian Holm appeared in	r=0.61	11yrs	86
The number of postal service machine operators in North Dakota	r=0.76	6yrs	86
Jet fuel used in Syria	r=0.78	13yrs	84
Barclays' stock price (BCS)	r=0.73	6yrs	82
Cottage cheese consumption	r=0.66	10yrs	82
Popularity of the first name Marlene	r=0.74	14yrs	80
Google searches for 'attacked by a squirrel'	r=0.74	6yrs	78
The number of photographers in North Dakota	r=0.74	6yrs	73
Liquefied petroleum gas used in Greenland	r=0.8	7yrs	72
Ice cream consumption	r=0.65	10yrs	71
Advanced Micro Devices' stock price (AMD)	r=0.72	6yrs	70
Google searches for 'fbi hotline'	r=0.74	6yrs	68
Popularity of the first name Antonio	r=0.73	14yrs	68
Petroluem consumption in Italy	r=0.76	14yrs	62
Sherbet consumption	r=0.64	10yrs	60
Popularity of the first name Manuel	r=0.73	14yrs	58
Google searches for 'Panama Canal'	r=0.73	6yrs	53
Kerosene used in Japan	r=0.76	13yrs	52
Popularity of the first name Ernesto	r=0.73	14yrs	48
Brick cheese consumption	r=0.68	8yrs	44
Google searches for 'snoop dog'	r=0.73	6yrs	43
Kerosene used in Tunisia	r=0.75	13yrs	40
Popularity of the first name Rogelio	r=0.73	14yrs	38
Jet fuel used in Albania	r=0.77	8yrs	28
Popularity of the first name Maura	r=0.73	14yrs	28
Google searches for 'Suez Canal'	r=0.72	6yrs	22
Kerosene used in Iran	r=0.74	13yrs	18
Popularity of the first name Roberto	r=0.72	14yrs	16
Google searches for 'Tom Cruise'	r=0.72	6yrs	12
Fossil fuel use in North Macedonia	r=0.72	10yrs	6
Popularity of the first name Raul	r=0.72	14yrs	6
Google searches for 'how to immigrate to norway'	r=0.68	6yrs	0
Liquefied petroleum gas used in Japan	r=0.73	12yrs	-4
Popularity of the first name Alfonso	r=0.72	14yrs	-4
Popularity of the first name Claudia	r=0.71	14yrs	-15
Hydopower energy generated in Syria	r=0.69	13yrs	-16
Popularity of the first name Alfredo	r=0.71	14yrs	-25
Petroluem consumption in Japan	r=0.7	14yrs	-26
Popularity of the first name Gilberto	r=0.71	14yrs	-35
Gasoline pumped in Norway	r=0.71	13yrs	-36
Popularity of the first name Allan	r=0.71	14yrs	-45
Kerosene used in Vietnam	r=0.7	13yrs	-48
Popularity of the first name Leslie	r=0.7	14yrs	-56
Gasoline pumped in Sweden	r=0.69	13yrs	-59

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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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