Top variables that correlate with Votes for Democratic Senators in Kansas

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

Variable	Correlation	Years	Has img?
The Winning Score of The Northern Trust Open Golf Championship	r=0.9	9yrs	No
Kerosene used in Guyana	r=0.82	12yrs	Yes!
Carjackings in the US	r=0.79	7yrs	No
Grocery store spend in Kansas	r=0.7	6yrs	No
Brick cheese consumption	r=0.65	6yrs	No
Runs Scored by the losing team in the World Series	r=0.58	11yrs	No

Votes for Democratic Senators in Kansas also correlates with...

Variable	Correlation	Years	Sys. Score
Liquefied petroleum gas used in Barbados	r=0.9	12yrs	332
Popularity of the first name Yamilex	r=0.92	7yrs	294
Popularity of the first name Anfernee	r=0.9	7yrs	292
The number of movies Sally Field appeared in	r=0.85	8yrs	264
The number of movies Shia LaBeouf appeared in	r=0.85	6yrs	262
Popularity of the first name Deion	r=0.81	13yrs	164
The number of movies Catherine Zeta-Jones appeared in	r=0.81	7yrs	152
Gasoline pumped in North Macedonia	r=0.8	8yrs	142
T/G ratio rank for Teams Coached by Bill Belichick	r=0.72	9yrs	132
Popularity of the first name Courteney	r=0.85	10yrs	122
Car crashes in the US	r=0.74	6yrs	120
Processed cheese consumption	r=0.66	7yrs	120
Customer satisfaction with Frontier Communications	r=0.67	7yrs	115
Kerosene used in Libya	r=0.76	12yrs	110
Age of Miss Teen USA	r=0.58	11yrs	110
The number of movies Uma Thurman appeared in	r=0.71	8yrs	108
Food spending in Kansas	r=0.65	6yrs	108
Customer satisfaction with UPS	r=0.62	7yrs	108
Popularity of the first name Alanis	r=0.82	7yrs	104
Viewership of Doctor Who season finale	r=0.54	8yrs	102
Customer satisfaction with Verizon	r=0.56	7yrs	99
Tiger Woods' Final Position in the US Open	r=0.53	6yrs	98
Letters in the Winning Word in the Scripps National Spelling Bee	r=0.47	12yrs	98
Restaurant spending in Kansas	r=0.56	6yrs	98
Average temperature in Perth	r=0.52	13yrs	98
Miss America's age	r=0.49	13yrs	97
Bankruptcy filings in the US	r=-0.86	6yrs	94
Popularity of the first name Idalis	r=0.81	7yrs	93
Electricity generation in Denmark	r=0.68	12yrs	92
Total value of all $5 bills printed	r=0.48	9yrs	92
Customer satisfaction with Customer Shipping	r=0.49	7yrs	88
Customer satisfaction with Nordstrom	r=0.47	6yrs	84
Popularity of the first name Jocelyne	r=0.76	13yrs	82
Solar power generated in Eritrea	r=0.79	6yrs	82
Customer satisfaction with The U.S. Postal Service	r=0.45	7yrs	82
The number of movies Julia Roberts appeared in	r=0.65	9yrs	80
The average age of batters for the Kansas City Royals	r=-0.68	13yrs	76
Popularity of the first name Raekwon	r=0.8	7yrs	72
Wind power generated in Luxembourg	r=0.79	6yrs	72
Solar power generated in Brazil	r=0.78	6yrs	60
Detroit Tigers' American League Ranking	r=0.47	13yrs	60
Popularity of the first name Xena	r=0.77	8yrs	58
The number of movies Edward Norton appeared in	r=0.58	7yrs	58
Brad Pitt's net worth	r=-0.64	6yrs	58
Total minutes of Doctor Who aired	r=-0.51	9yrs	55
Rain in Berlin	r=-0.51	13yrs	52
Wind power generated in Ukraine	r=0.78	6yrs	50
Rain in Berlin	r=-0.49	13yrs	50
Popularity of the first name Zena	r=0.74	13yrs	48
The number of movies Christopher Lee appeared in	r=0.55	12yrs	48
Chicago Bulls Win Percentage Progression	r=0.46	13yrs	48
Cheddar cheese consumption	r=-0.48	7yrs	48
Value of the Victoria's Secret Annual Fantasy Bra	r=-0.52	6yrs	44
Liquefied petroleum gas used in Togo	r=0.8	6yrs	40
Popularity of the first name Dangelo	r=0.72	13yrs	36
Liquefied petroleum gas used in Chad	r=0.78	6yrs	28
The number of movies Halle Berry appeared in	r=0.52	7yrs	28
Popularity of the first name Raquan	r=0.74	9yrs	24
Kerosene used in Yemen	r=0.67	12yrs	17
The number of movies Gregory Peck appeared in	r=0.51	7yrs	17
Rain in Berlin	r=-0.45	13yrs	16
Popularity of the first name Malik	r=0.7	13yrs	12
Frank Lampard's Premier League goal tally	r=-0.69	6yrs	8
Solar power generated in Belize	r=0.75	6yrs	6
The number of movies Viola Davis appeared in	r=-0.85	6yrs	4
Popularity of the first name Khadijah	r=0.7	13yrs	2
The number of movies Ed Harris appeared in	r=0.46	12yrs	-6
Number of internet users	r=-0.48	6yrs	-7
Wind power generated in Peru	r=0.72	6yrs	-8
Popularity of the first name Shania	r=0.69	13yrs	-9
The number of movies Frances McDormand appeared in	r=0.47	9yrs	-17
Kerosene used in South Korea	r=0.63	12yrs	-19
Popularity of the first name Kahlil	r=0.67	13yrs	-22
The number of movies Jeremy Renner appeared in	r=0.48	6yrs	-28
Jet fuel used in Yemen	r=0.62	12yrs	-30
Popularity of the first name Daja	r=0.67	11yrs	-34
The number of movies Matthew McConaughey appeared in	r=0.46	6yrs	-42
Wind power generated in Turkiye	r=0.69	6yrs	-43
Popularity of the first name Malika	r=0.66	13yrs	-44
Gasoline pumped in Comoros	r=0.71	6yrs	-53
Popularity of the first name Deja	r=0.65	13yrs	-55
Solar power generated in Bangladesh	r=0.68	6yrs	-64
Popularity of the first name Odalys	r=0.65	13yrs	-65
Jet fuel used in North Macedonia	r=0.69	8yrs	-74
The number of movies Jude Law appeared in	r=-0.65	6yrs	-76
The number of movies Andy Serkis appeared in	r=-0.62	6yrs	-88
The number of movies Mark Ruffalo appeared in	r=-0.6	7yrs	-100
The number of movies David Wenham appeared in	r=-0.55	8yrs	-113
The number of movies Elijah Wood appeared in	r=-0.54	9yrs	-124
The number of movies Tim Robbins appeared in	r=-0.5	8yrs	-138

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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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