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

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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 Alabama correlates with...

Variable	Correlation	Years	Has img?
Popularity of the first name Jaime	r=0.93	12yrs	No
Kerosene used in Djibouti	r=0.9	11yrs	No
Carjackings in the US	r=0.87	7yrs	No

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

Variable	Correlation	Years	Sys. Score
Popularity of the first name Consuelo	r=0.93	12yrs	336
Popularity of the first name Chastity	r=0.93	11yrs	335
Popularity of the first name Karen	r=0.92	12yrs	304
Popularity of the first name Wendy	r=0.92	12yrs	294
Popularity of the first name Kathy	r=0.91	12yrs	283
Petroluem consumption in Denmark	r=0.89	11yrs	279
Petroluem consumption in Sweden	r=0.88	11yrs	278
Popularity of the first name Mike	r=0.91	12yrs	273
Popularity of the first name Gretchen	r=0.91	12yrs	263
US household spending on cereals and bakery products	r=0.87	6yrs	258
US household spending on transportation	r=0.86	6yrs	256
US household spending on processed fruits	r=0.85	6yrs	254
Popularity of the first name Kenyatta	r=0.91	12yrs	253
Popularity of the first name Lashawn	r=0.91	12yrs	243
Kerosene used in Jamaica	r=0.85	11yrs	243
Popularity of the first name Sharon	r=0.9	12yrs	232
Popularity of the first name Tammy	r=0.9	12yrs	222
Hydopower energy generated in Turkmenistan	r=0.86	8yrs	220
Popularity of the first name Kim	r=0.9	12yrs	212
Popularity of the first name Aja	r=0.9	11yrs	180
Popularity of the first name Lamont	r=0.9	12yrs	162
Milk consumption	r=0.83	8yrs	158
Air pollution in Huntsville	r=0.83	9yrs	156
Popularity of the first name Nakia	r=0.9	12yrs	152
Ice cream consumption	r=0.8	8yrs	152
The number of movies James Stewart appeared in	r=0.8	8yrs	152
Emmy Awards Ceremony viewership	r=0.83	9yrs	150
Processed cheese consumption	r=0.78	7yrs	148
US household spending on bakery products	r=0.84	6yrs	148
Popularity of the first name Mona	r=0.9	12yrs	142
Air pollution in Huntsville	r=0.73	10yrs	142
Remaining Forest Cover in the Brazilian Amazon	r=0.73	9yrs	140
Customer satisfaction with Verizon	r=0.77	7yrs	140
Customer satisfaction with Frontier Communications	r=0.77	7yrs	140
Arson in United States	r=0.72	9yrs	140
Violent crime rates	r=0.72	9yrs	140
The number of movies Viggo Mortensen appeared in	r=0.72	9yrs	140
Viewership count for Days of Our Lives	r=0.7	12yrs	138
The distance between Neptune and the Sun	r=0.72	12yrs	138
The distance between Neptune and Earth	r=0.72	12yrs	138
The distance between Neptune and the moon	r=0.72	12yrs	138
NBA Season MVP's Age	r=0.75	8yrs	136
NASA's budget as a percentage of the total US Federal Budget	r=0.67	12yrs	134
Academy Award Best Supporting Actor Winner's Age	r=0.67	12yrs	133
US household spending on tobacco products and smoking supplies	r=0.8	6yrs	132
Air pollution in Birmingham	r=0.67	10yrs	132
Popularity of the first name Donna	r=0.89	12yrs	130
The marriage rate in Alabama	r=0.79	6yrs	130
US household spending on dairy products	r=0.78	6yrs	129
US household spending on fresh milk and cream	r=0.76	6yrs	126
Customer satisfaction with Whirlpool	r=0.73	7yrs	124
Highest Nielsen rating for a TV show each year	r=0.63	12yrs	122
Customer satisfaction with UPS	r=0.72	7yrs	122
Popularity of the first name Jody	r=0.89	12yrs	120
Volume of wheat used in the United States as animal feed	r=0.71	6yrs	120
Customer satisfaction with Customer Shipping	r=0.7	7yrs	120
The number of movies Sam Rockwell appeared in	r=0.66	8yrs	120
Petroluem consumption in France	r=0.85	12yrs	119
Annual U.S. inflation rate	r=0.7	8yrs	119
Total value of all $1 bills printed	r=0.67	8yrs	119
US Barley Production Volume	r=0.71	6yrs	118
GMO use in cotton	r=0.69	6yrs	118
US household spending on clothing for men	r=0.71	6yrs	118
US household spending on books	r=0.71	6yrs	118
Frozen yogurt consumption	r=0.77	8yrs	117
US Employment Rate	r=0.69	8yrs	117
Customer satisfaction with FedEx	r=0.68	7yrs	117
US Tobacco Production	r=0.69	6yrs	115
US household spending on clothin for women	r=0.69	6yrs	115
Popularity of the first name Kimberley	r=0.89	12yrs	110
Robberies in the US	r=0.7	9yrs	108
The distance between Neptune and Mercury	r=0.71	12yrs	106
Sherbet consumption	r=0.74	8yrs	102
Air pollution in Decatur, Alabama	r=0.67	9yrs	98
Motor vehicle thefts	r=0.69	9yrs	96
Fossil fuel use in Sweden	r=0.83	11yrs	93
Air pollution in Fort Payne, Alabama	r=0.73	7yrs	86
Kerosene used in Laos	r=0.85	11yrs	83
Robberies in Alabama	r=0.67	9yrs	83
US production of frozen dairy products	r=0.77	6yrs	78
Kerosene used in Norway	r=0.84	11yrs	72
Air pollution in Fort Payne, Alabama	r=0.7	8yrs	72
US average dairy skim-solid content of cheese (other than cottage cheese)	r=0.79	6yrs	68
Kerosene used in Switzerland	r=0.84	11yrs	62
Air pollution in Decatur, Alabama	r=0.7	7yrs	61
Burglary rates in the US	r=0.65	9yrs	60
Brick cheese consumption	r=0.7	6yrs	54
Fossil fuel use in North Macedonia	r=0.83	8yrs	50
US average milk-fat content of frozen dairy products	r=0.75	6yrs	42
Gasoline pumped in Guam	r=0.83	11yrs	40
Kerosene used in Uruguay	r=0.81	11yrs	27
Gasoline pumped in Germany	r=0.82	8yrs	16
Kerosene used in Cabo Verde	r=0.79	11yrs	4
Gasoline pumped in Slovenia	r=0.81	8yrs	-6
Fossil fuel use in Slovakia	r=0.79	7yrs	-17
Petroluem consumption in Germany	r=0.8	8yrs	-28
Gasoline pumped in Lithuania	r=0.8	8yrs	-38
Gasoline pumped in North Macedonia	r=0.79	8yrs	-49

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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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