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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 South Dakota correlates with...

VariableCorrelationYearsHas img?
Annual US household spending on vehicle insurancer=0.946yrsYes!
GMO use in cottonr=0.866yrsYes!



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

VariableCorrelationYearsSys. Score
The number of movies Humphrey Bogart appeared inr=0.97yrs300
The number of movies Halle Berry appeared inr=0.887yrs268
The number of movies Elizabeth Taylor appeared inr=0.838yrs156
Fossil fuel use in North Macedoniar=0.88yrs146
US household spending on vehicle insurancer=0.816yrs144
Customer satisfaction with FedExr=0.767yrs138
Liquefied petroleum gas used in Burundir=0.768yrs136
Annual U.S. inflation rater=0.748yrs135
GMO use in cottonr=0.86yrs135
Liquefied petroleum gas used in Austriar=0.7311yrs135
US household spending on mortgage interest and chargesr=0.816yrs134
Annual Changes in U.S. PPI for Commoditiesr=0.728yrs132
US household spending on dairy productsr=0.796yrs130
US household spending on natural gasr=0.796yrs130
US household spending on gasoliner=0.786yrs129
Score Difference in the Final Game of the World Seriesr=0.6412yrs127
British Open Golf Championship winner's scorer=0.6611yrs126
Annual US household spending on fresh milk and creamr=0.766yrs126
Popularity of the first name Shaniahr=0.757yrs124
Annual US household spending on mortgage interest and chargesr=0.756yrs124
Total value of all $5 bills printedr=0.688yrs121
Number of goals scored by the winning team in the NCAA Soccer Div II Championship Finalr=0.6111yrs118
GMO use in corn grown in South Dakotar=0.676yrs118
Customer satisfaction with Customer Shippingr=0.697yrs118
Customer satisfaction with UPSr=0.697yrs118
Burglary rates in the USr=0.649yrs118
Rain in Sydneyr=0.5912yrs118
Popularity of the first name Katelinr=0.6111yrs117
US household spending on fresh milk and creamr=0.76yrs117
US household spending on entertainmentr=0.76yrs117
NBA Season MVP's Ager=0.688yrs116
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milkr=0.76yrs116
US average dairy skim-solid content of whey products (net)r=0.716yrs116
Popularity of the first name Miker=0.5912yrs115
US production of fluid beverage milkr=0.686yrs114
Customer satisfaction with Verizonr=0.617yrs106
The number of movies Viggo Mortensen appeared inr=0.699yrs106
Number of registered Honda motorcycles in the UKr=0.636yrs106
Arson in United Statesr=0.559yrs105
Academy Award Best Supporting Actress Winner Ager=0.5412yrs104
Rain in Sydneyr=0.5512yrs102
Liquefied petroleum gas used in Norwayr=0.7111yrs102
US bank failuresr=0.536yrs100
Remaining Forest Cover in the Brazilian Amazonr=0.59yrs96
Rain in Sydneyr=0.5112yrs96
Volume of wheat used in the United States as animal feedr=0.546yrs94
Customer satisfaction with The U.S. Postal Servicer=0.537yrs94
U.S. intercountry adoptionsr=0.546yrs93
Robberies in the USr=0.479yrs93
Jet fuel used in Saint Vincent/Grenadinesr=0.816yrs92
The number of movies Javier Bardem appeared inr=0.717yrs87
Popularity of the first name Michalr=0.5912yrs85
Jet fuel used in Gabonr=0.711yrs80
The number of movies Uma Thurman appeared inr=0.698yrs75
Sherbet consumptionr=0.548yrs72
GMO use in cottonr=0.586yrs72
Petroluem consumption in Syriar=0.711yrs70
NCAA Women's Softball Championship (Div I) Final Score Difference Between Winners and Runner-Upr=0.569yrs69
Popularity of the first name Sader=0.629yrs66
US household spending on utilitiesr=0.686yrs64
Brick cheese consumptionr=0.526yrs58
Hydopower energy generated in South Africar=0.6611yrs58
Number of goals scored by winners in NCAA Field Hockey Div II finalsr=0.557yrs57
The number of movies Sidney Poitier appeared inr=0.647yrs56
Annual US household spending on natural gasr=0.656yrs55
Popularity of the first name Marlonr=0.5612yrs51
Kerosene used in Nigeriar=0.6811yrs48
The number of movies Edward Norton appeared inr=0.637yrs45
The Winning Score of The Northern Trust Open Golf Championshipr=0.58yrs44
Portion of all US dairy skim-solids allocated to the production of cottage cheeser=0.576yrs44
Popularity of the first name Alizer=0.598yrs41
Annual US household spending on gasoliner=0.596yrs40
Gasoline pumped in Faroe Islandsr=0.689yrs36
The number of movies Christian Bale appeared inr=0.628yrs34
Annual US household spending on postage and stationeryr=0.576yrs32
Popularity of the first name Maliquer=0.588yrs30
US household spending on electricityr=0.576yrs27
Jet fuel used in The Bahamasr=0.6611yrs24
The number of movies Andy Serkis appeared inr=0.66yrs20
Popularity of the first name Roxannar=0.5512yrs19
Kerosene used in Ghanar=0.6511yrs13
The number of movies James Stewart appeared inr=0.598yrs10
Popularity of the first name Daijahr=0.568yrs7
Nuclear power generation in Swedenr=0.6111yrs0
Popularity of the first name Jaimier=0.5312yrs-4
The number of movies Catherine Zeta-Jones appeared inr=0.557yrs-7
Liquefied petroleum gas used in Canadar=0.6311yrs-10
Popularity of the first name Jalisar=0.5311yrs-15
Gasoline pumped in Montserratr=0.78yrs-22
Popularity of the first name Viridianar=0.5311yrs-25
The number of movies Sally Field appeared inr=0.479yrs-27
Gasoline pumped in Finlandr=0.6111yrs-33
Popularity of the first name Shaniyar=0.548yrs-36
Gasoline pumped in Syriar=0.6111yrs-43
Popularity of the first name Austonr=0.5211yrs-46
Gasoline pumped in Estoniar=0.688yrs-55
Popularity of the first name Susannahr=0.5112yrs-57
Kerosene used in Eswatinir=0.678yrs-67
Kerosene used in Ethiopiar=0.659yrs-79


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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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