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

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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 Oklahoma correlates with...

Variable	Correlation	Years	Has img?
Popularity of the first name Lexus	r=0.93	8yrs	Yes!
The number of movies James Stewart appeared in	r=0.72	8yrs	No
Arson in United States	r=0.72	9yrs	No

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

Variable	Correlation	Years	Sys. Score
Carjackings in the US	r=0.91	7yrs	302
US household spending on processed fruits	r=0.95	6yrs	300
Popularity of the first name Zhane	r=0.93	7yrs	296
US household spending on cereals and bakery products	r=0.93	6yrs	296
US household spending on transportation	r=0.93	6yrs	296
US household spending on bakery products	r=0.92	6yrs	295
Car crashes in the US	r=0.93	6yrs	294
Popularity of the first name Dajah	r=0.91	8yrs	294
Gasoline pumped in Slovenia	r=0.91	8yrs	294
US average dairy skim-solid content of cheese (other than cottage cheese)	r=0.92	6yrs	292
Arson in Oklahoma	r=0.9	9yrs	272
Processed cheese consumption	r=0.86	7yrs	264
Fossil fuel use in Slovakia	r=0.9	7yrs	264
US household spending on dairy products	r=0.88	6yrs	259
Customer satisfaction with Verizon	r=0.86	7yrs	258
Liquefied petroleum gas used in Greenland	r=0.87	6yrs	256
US average milk-fat content of frozen dairy products	r=0.86	6yrs	253
Popularity of the first name Mike	r=0.87	12yrs	247
Popularity of the first name Malique	r=0.9	8yrs	222
Popularity of the first name Daijah	r=0.88	8yrs	210
Popularity of the first name Idalis	r=0.86	7yrs	196
US household spending on poultry	r=0.85	6yrs	150
Physical album shipment volume in the United States	r=0.84	6yrs	148
US household spending on fresh milk and cream	r=0.84	6yrs	148
US household spending on books	r=0.84	6yrs	148
Remaining Forest Cover in the Brazilian Amazon	r=0.77	9yrs	146
US Barley Production Volume	r=0.83	6yrs	146
US household spending on meats, poultry, fish, and eggs	r=0.82	6yrs	145
US household spending on pork	r=0.82	6yrs	145
The number of movies Viggo Mortensen appeared in	r=0.73	9yrs	142
The number of movies Elizabeth Taylor appeared in	r=0.74	8yrs	142
US Employment Rate	r=0.76	8yrs	138
Total value of all $1 bills printed	r=0.72	8yrs	136
GMO use in cotton	r=0.77	6yrs	130
Viewership count for Days of Our Lives	r=0.63	12yrs	127
Customer satisfaction with Whirlpool	r=0.75	7yrs	127
GMO use in cotton	r=0.74	6yrs	126
NASA's budget as a percentage of the total US Federal Budget	r=0.6	12yrs	124
Customer satisfaction with Frontier Communications	r=0.73	7yrs	124
Air pollution in Ponca City, Oklahoma	r=0.73	6yrs	124
US Tobacco Production	r=0.74	6yrs	123
MTV VMA Viewer Count	r=0.73	6yrs	122
Fossil fuel use in North Macedonia	r=0.84	8yrs	122
US milk fat used to produce fluid beverage milk	r=0.83	6yrs	116
Hydopower energy generated in Turkmenistan	r=0.84	8yrs	112
Burglaries in Oklahoma	r=0.72	9yrs	110
Ice cream consumption	r=0.75	8yrs	104
The number of movies Humphrey Bogart appeared in	r=0.73	7yrs	100
Burglary rates in the US	r=0.7	9yrs	98
Biomass power generated in Jamaica	r=0.78	11yrs	96
US household spending on tobacco products and smoking supplies	r=0.82	6yrs	95
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.83	6yrs	94
The number of movies Halle Berry appeared in	r=0.71	7yrs	87
Motor vehicle thefts	r=0.69	9yrs	86
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.83	6yrs	84
Popularity of the first name Jailene	r=0.85	8yrs	80
Geothermal power generated in Thailand	r=0.76	8yrs	80
US household spending on clothin for women	r=0.8	6yrs	77
The number of movies Catherine Zeta-Jones appeared in	r=0.71	7yrs	77
US household spending on beef	r=0.79	6yrs	70
Kerosene used in Central African Republic	r=0.77	9yrs	69
Popularity of the first name Nautica	r=0.84	8yrs	68
US household spending on laundry and cleaning supplies	r=0.79	6yrs	65
The number of movies Andy Serkis appeared in	r=0.7	6yrs	64
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.8	6yrs	59
US household spending on prescription drugs	r=0.78	6yrs	59
Jet fuel used in Gabon	r=0.75	11yrs	58
Popularity of the first name Raekwon	r=0.83	7yrs	56
Disney movies released	r=0.69	6yrs	53
US household spending on floor coverings	r=0.77	6yrs	53
Gasoline pumped in North Macedonia	r=0.77	8yrs	48
Milk consumption	r=0.7	8yrs	48
US household spending on clothing	r=0.77	6yrs	48
Popularity of the first name Katelin	r=0.8	11yrs	46
The number of movies Sidney Poitier appeared in	r=0.68	7yrs	43
US household spending on clothing for men	r=0.77	6yrs	43
Kerosene used in Seychelles	r=0.75	11yrs	38
Sherbet consumption	r=0.7	8yrs	36
Popularity of the first name Celena	r=0.79	12yrs	35
US household spending on vehicle insurance	r=0.74	6yrs	33
Fossil fuel use in Denmark	r=0.72	11yrs	26
Popularity of the first name Mona	r=0.79	12yrs	25
Brick cheese consumption	r=0.69	6yrs	23
Fossil fuel use in Greenland	r=0.72	11yrs	16
Popularity of the first name Marlon	r=0.78	12yrs	14
Hydopower energy generated in South Africa	r=0.72	11yrs	6
Popularity of the first name Damon	r=0.77	12yrs	2
Petroluem consumption in Germany	r=0.75	8yrs	-5
Popularity of the first name Chastity	r=0.77	11yrs	-9
Nuclear power generation in Germany	r=0.72	8yrs	-16
Popularity of the first name Alize	r=0.78	8yrs	-20
Kerosene used in Eswatini	r=0.74	8yrs	-26
Popularity of the first name Siera	r=0.77	10yrs	-30
Gasoline pumped in Germany	r=0.74	8yrs	-36
Popularity of the first name Susannah	r=0.76	12yrs	-40
Kerosene used in Japan	r=0.71	11yrs	-48
Popularity of the first name Jaime	r=0.74	12yrs	-52
Jet fuel used in Sierra Leone	r=0.71	11yrs	-58

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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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