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

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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 Missouri correlates with...

Variable	Correlation	Years	Has img?
Kerosene used in Eswatini	r=0.86	8yrs	Yes!

Votes for the Democratic Presidential candidate in Missouri also correlates with...

Variable	Correlation	Years	Sys. Score
GMO use in cotton	r=0.95	6yrs	332
US household spending on dairy products	r=0.96	6yrs	331
US household spending on mortgage interest and charges	r=0.94	6yrs	298
Fossil fuel use in North Macedonia	r=0.92	8yrs	298
Annual U.S. inflation rate	r=0.91	8yrs	296
US household spending on vehicle insurance	r=0.93	6yrs	296
US household spending on fresh milk and cream	r=0.92	6yrs	295
The number of movies Humphrey Bogart appeared in	r=0.87	7yrs	266
Annual Changes in U.S. PPI for Commodities	r=0.88	8yrs	261
GMO use in corn grown in Missouri	r=0.85	6yrs	260
Jet fuel used in Saint Vincent/Grenadines	r=0.88	6yrs	258
US average dairy skim-solid content of whey products (net)	r=0.88	6yrs	256
US household spending on natural gas	r=0.86	6yrs	256
The number of movies Andy Serkis appeared in	r=0.82	6yrs	152
GMO use in cotton	r=0.83	6yrs	150
US production of fluid beverage milk	r=0.84	6yrs	148
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.83	6yrs	145
Popularity of the first name Shaniah	r=0.79	7yrs	140
Popularity of the first name Mike	r=0.73	12yrs	136
Popularity of the first name Rosario	r=0.73	12yrs	136
US Employment Rate	r=0.74	8yrs	135
U.S. intercountry adoptions	r=0.79	6yrs	130
The distance between Mars and Mercury	r=0.67	12yrs	130
Annual US household spending on vehicle insurance	r=0.77	6yrs	128
The number of movies Elizabeth Taylor appeared in	r=0.71	8yrs	128
The distance between Mars and Earth	r=0.65	12yrs	127
The distance between Mars and the moon	r=0.65	12yrs	127
Customer satisfaction with FedEx	r=0.74	7yrs	126
US household spending on postage and stationery	r=0.76	6yrs	126
Number of seasons Manchester United won matches	r=0.64	12yrs	124
US household spending on prescription drugs	r=0.73	6yrs	122
US household spending on floor coverings	r=0.72	6yrs	120
GMO use in cotton	r=0.82	6yrs	118
Kerosene used in Malawi	r=0.82	10yrs	118
Annual US household spending on floor coverings	r=0.71	6yrs	118
Bankruptcy filings in the US	r=0.66	6yrs	117
Arson in Missouri	r=0.63	9yrs	117
Detroit Tigers' number of lost games in a specific season of the American League	r=0.59	12yrs	116
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.84	6yrs	115
US Barley Production Volume	r=0.68	6yrs	114
Customer satisfaction with Verizon	r=0.66	7yrs	114
MTV VMA Viewer Count	r=0.67	6yrs	112
US Tobacco Production	r=0.67	6yrs	112
The divorce rate in Missouri	r=0.65	6yrs	111
Burglaries in Missouri	r=0.59	9yrs	111
Physical album shipment volume in the United States	r=0.65	6yrs	110
Kerosene used in Montserrat	r=0.83	9yrs	108
Popularity of the first name Alize	r=0.75	8yrs	105
Sherbet consumption	r=0.72	8yrs	100
The number of movies Uma Thurman appeared in	r=0.69	8yrs	95
Fossil fuel use in Slovakia	r=0.8	7yrs	94
Popularity of the first name Tania	r=0.71	12yrs	93
The distance between Mars and Venus	r=0.59	12yrs	88
The number of movies Halle Berry appeared in	r=0.68	7yrs	83
Nuclear power generation in Germany	r=0.78	8yrs	82
US average dairy skim-solid content of cheese (other than cottage cheese)	r=0.81	6yrs	80
Popularity of the first name Katelynn	r=0.7	11yrs	80
The number of movies Viggo Mortensen appeared in	r=0.66	9yrs	72
Gasoline pumped in Montserrat	r=0.79	8yrs	71
Popularity of the first name Caitlyn	r=0.69	11yrs	69
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.79	6yrs	68
US household spending on processed fruits	r=0.69	6yrs	65
Gasoline pumped in Czechia	r=0.79	7yrs	60
US household spending on transportation	r=0.69	6yrs	60
The number of movies James Stewart appeared in	r=0.65	8yrs	59
Popularity of the first name Kenya	r=0.68	12yrs	58
Portion of all US dairy skim-solids allocated to the production of evaporated and condensed milk	r=0.75	6yrs	52
US household spending on clothin for women	r=0.67	6yrs	52
Gasoline pumped in Slovenia	r=0.78	8yrs	50
Popularity of the first name Marlon	r=0.68	12yrs	48
The number of movies Christian Bale appeared in	r=0.63	8yrs	46
Milk consumption	r=0.64	8yrs	39
Gasoline pumped in Croatia	r=0.77	8yrs	38
Popularity of the first name Savanah	r=0.69	10yrs	38
The number of movies Sean Penn appeared in	r=0.6	9yrs	32
Petroluem consumption in Syria	r=0.75	11yrs	28
Popularity of the first name Kaelin	r=0.69	10yrs	28
Ice cream consumption	r=0.64	8yrs	28
Popularity of the first name Jasmyne	r=0.68	11yrs	18
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.72	6yrs	17
Gasoline pumped in Estonia	r=0.75	8yrs	15
Popularity of the first name Chyanne	r=0.68	11yrs	8
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.71	6yrs	6
Petroluem consumption in Croatia	r=0.74	8yrs	4
Popularity of the first name Jazmyne	r=0.69	10yrs	-2
US average milk-fat content of frozen dairy products	r=0.71	6yrs	-4
Kerosene used in Iran	r=0.72	11yrs	-6
Popularity of the first name Kaitlynn	r=0.68	10yrs	-13
Hydopower energy generated in Ukraine	r=0.71	8yrs	-18
US average milk-fat content of cottage cheese	r=0.68	6yrs	-19
Popularity of the first name Siera	r=0.68	10yrs	-23
US average dairy skim-solid content of whey products (net)	r=0.68	6yrs	-29
Kerosene used in Bangladesh	r=0.7	11yrs	-30
Popularity of the first name Kaleigh	r=0.67	11yrs	-34
Gasoline pumped in Denmark	r=0.7	11yrs	-40
Popularity of the first name Katelin	r=0.67	11yrs	-44
Fossil fuel use in Greenland	r=0.67	11yrs	-51
Popularity of the first name Bryana	r=0.67	11yrs	-54
Fossil fuel use in U.S. Virgin Islands	r=0.67	11yrs	-61
Popularity of the first name Jonatan	r=0.67	11yrs	-64

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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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