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

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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 Tennessee correlates with...

Variable	Correlation	Years	Has img?
US household spending on processed fruits	r=0.98	6yrs	Yes!
Gasoline pumped in Germany	r=0.94	8yrs	No
Kerosene used in Philippines	r=0.93	11yrs	Yes!

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

Variable	Correlation	Years	Sys. Score
Popularity of the first name Mike	r=0.91	12yrs	333
Popularity of the first name Rosario	r=0.91	12yrs	333
Popularity of the first name Aja	r=0.91	11yrs	332
US average dairy skim-solid content of cheese (other than cottage cheese)	r=0.97	6yrs	330
Milk consumption	r=0.93	8yrs	322
Ice cream consumption	r=0.94	8yrs	322
Popularity of the first name Consuelo	r=0.9	12yrs	302
Fossil fuel use in Slovakia	r=0.95	7yrs	302
US household spending on transportation	r=0.94	6yrs	298
Physical album shipment volume in the United States	r=0.92	6yrs	295
US Barley Production Volume	r=0.91	6yrs	294
The divorce rate in Tennessee	r=0.9	6yrs	294
US household spending on fresh milk and cream	r=0.9	6yrs	292
Popularity of the first name Kaytlyn	r=0.94	9yrs	274
Carjackings in the US	r=0.89	7yrs	269
Liquefied petroleum gas used in Greenland	r=0.94	6yrs	266
US average milk-fat content of frozen dairy products	r=0.94	6yrs	265
Robberies in Tennessee	r=0.85	9yrs	265
Emmy Awards Ceremony viewership	r=0.89	9yrs	264
US household spending on poultry	r=0.9	6yrs	262
US household spending on books	r=0.9	6yrs	262
Total value of all $1 bills printed	r=0.86	8yrs	262
Popularity of the first name Ciarra	r=0.91	9yrs	260
The marriage rate in Tennessee	r=0.89	6yrs	260
US household spending on cereals and bakery products	r=0.88	6yrs	259
US household spending on dairy products	r=0.88	6yrs	259
US household spending on clothin for women	r=0.88	6yrs	259
US household spending on bakery products	r=0.86	6yrs	256
US household spending on floor coverings	r=0.86	6yrs	256
Petroluem consumption in Germany	r=0.91	8yrs	254
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	6yrs	252
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	6yrs	240
Popularity of the first name Zhane	r=0.9	7yrs	232
Petroluem consumption in France	r=0.87	12yrs	227
Gasoline pumped in Italy	r=0.86	11yrs	214
Popularity of the first name Kenyatta	r=0.89	12yrs	210
Sherbet consumption	r=0.89	8yrs	210
US household spending on clothing	r=0.86	6yrs	206
US household spending on clothing for men	r=0.86	6yrs	201
Popularity of the first name Siera	r=0.9	10yrs	200
Processed cheese consumption	r=0.88	7yrs	198
US household spending on tobacco products and smoking supplies	r=0.86	6yrs	196
Nuclear power generation in Germany	r=0.87	8yrs	191
US household spending on laundry and cleaning supplies	r=0.85	6yrs	189
Popularity of the first name Tommy	r=0.88	12yrs	188
US milk fat used to produce fluid beverage milk	r=0.9	6yrs	182
Kerosene used in Central African Republic	r=0.88	9yrs	180
Popularity of the first name Tayler	r=0.89	10yrs	178
Kerosene used in Belize	r=0.89	6yrs	169
Popularity of the first name Marlon	r=0.88	12yrs	168
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.89	6yrs	168
Motor vehicle thefts in Tennessee	r=0.85	9yrs	160
Popularity of the first name Brenda	r=0.87	12yrs	157
NASA's budget as a percentage of the total US Federal Budget	r=0.81	12yrs	156
Gasoline pumped in Latvia	r=0.85	8yrs	155
GMO use in cotton	r=0.85	6yrs	152
Customer satisfaction with Verizon	r=0.84	7yrs	150
US Employment Rate	r=0.83	8yrs	148
Popularity of the first name Cindy	r=0.87	12yrs	147
MTV VMA Viewer Count	r=0.83	6yrs	146
US Tobacco Production	r=0.83	6yrs	146
The distance between Neptune and the Sun	r=0.76	12yrs	144
The distance between Neptune and Earth	r=0.76	12yrs	144
The distance between Neptune and the moon	r=0.76	12yrs	144
Annual U.S. inflation rate	r=0.79	8yrs	142
Customer satisfaction with Whirlpool	r=0.78	7yrs	142
Car crashes in the US	r=0.81	6yrs	140
Air pollution in Sevierville, Tennessee	r=0.75	8yrs	140
Viewership count for Days of Our Lives	r=0.71	12yrs	139
Popularity of the first name Nakia	r=0.87	12yrs	137
Popularity of the first name Aric	r=0.87	12yrs	127
Popularity of the first name Maria	r=0.86	12yrs	116
Burglaries in Tennessee	r=0.76	9yrs	116
The distance between Neptune and Mercury	r=0.74	12yrs	110
Popularity of the first name Karen	r=0.86	12yrs	106
Motor vehicle thefts	r=0.75	9yrs	105
Popularity of the first name Tania	r=0.86	12yrs	96
Violent crime rates	r=0.74	9yrs	94
Popularity of the first name Katlynn	r=0.88	10yrs	86
US household spending on meats, poultry, fish, and eggs	r=0.85	6yrs	80
Arson in United States	r=0.71	9yrs	79
US household spending on beef	r=0.84	6yrs	73
US household spending on pork	r=0.84	6yrs	68
US household spending on prescription drugs	r=0.84	6yrs	63
Biomass power generated in Singapore	r=-0.98	8yrs	58
Frozen yogurt consumption	r=0.84	8yrs	58
US household spending on postage and stationery	r=0.82	6yrs	55
Cottage cheese consumption	r=0.79	8yrs	40
Fossil fuel use in North Macedonia	r=0.85	8yrs	33
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.85	6yrs	26
Kerosene used in Djibouti	r=0.83	11yrs	20
US average milk-fat content of cottage cheese	r=0.83	6yrs	14
Petroluem consumption in Italy	r=0.82	12yrs	10
Gasoline pumped in Lithuania	r=0.85	8yrs	0
Fossil fuel use in Greenland	r=0.8	11yrs	-12
Fossil fuel use in Sweden	r=0.8	11yrs	-22
Hydopower energy generated in Turkmenistan	r=0.82	8yrs	-32
Kerosene used in Montserrat	r=0.83	9yrs	-42

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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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