Top variables that correlate with The number of crane operators in Connecticut

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Data source: Bureau of Larbor Statistics
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The number of crane operators in Connecticut correlates with...

Variable	Correlation	Years	Sys. Score
Divorce rates in the United Kingdom	r=0.96	10yrs	402
Kerosene used in Jordan	r=0.9	19yrs	338
Popularity of the first name Brittni	r=0.94	10yrs	336
Kerosene used in Nepal	r=0.87	19yrs	334
Popularity of the first name Trista	r=0.86	19yrs	332
Jet fuel used in Barbados	r=0.86	19yrs	332
Popularity of the first name Mikala	r=0.85	19yrs	331
Kerosene used in Hong Kong	r=0.86	19yrs	302
Popularity of the first name Dajah	r=0.85	18yrs	300
Kerosene used in Syria	r=0.86	19yrs	292
Jet fuel used in Uzbekistan	r=0.86	19yrs	282
Kerosene used in Vietnam	r=0.86	19yrs	272
Kerosene used in Seychelles	r=0.85	19yrs	261
Kerosene used in Taiwan	r=0.85	19yrs	251
Popularity of the first name Courteney	r=0.93	6yrs	245
Kerosene used in Tunisia	r=0.85	19yrs	241
Popularity of the first name Shaniqua	r=0.91	8yrs	234
Popularity of the first name Katlin	r=0.86	13yrs	206
Motor vehicle thefts	r=0.81	20yrs	200
US average milk-fat content of frozen dairy products	r=0.82	19yrs	190
Popularity of the first name Arnold	r=0.84	20yrs	186
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.79	19yrs	186
US birth rates of triplets or more	r=0.76	19yrs	172
Yogurt consumption	r=-0.85	19yrs	172
Viewership count for Days of Our Lives	r=0.76	19yrs	168
Google searches for 'cia hotline'	r=0.76	19yrs	168
U.S. intercountry adoptions	r=0.77	19yrs	166
Annual US household spending on books	r=0.76	20yrs	165
US household spending on floor coverings	r=0.76	20yrs	165
Google searches for 'attacked by a squirrel'	r=0.73	19yrs	164
Physical album shipment volume in the United States	r=0.74	20yrs	162
Google searches for 'E.T. phone home'	r=0.73	19yrs	161
Annual US household spending on floor coverings	r=0.73	20yrs	160
US household spending on beef	r=0.72	20yrs	159
US household spending on books	r=0.72	20yrs	159
Value of the Victoria's Secret Annual Fantasy Bra	r=0.73	17yrs	158
Total annual sales of Ford Motors in the United States	r=0.73	19yrs	156
How fun 'Be Smart' science YouTube video titles are	r=0.83	10yrs	156
Career regular season goals scored by Sidney Crosby	r=0.69	20yrs	154
How provocative MinuteEarth YouTube video titles are	r=0.81	10yrs	154
Andy Roddick's ATP tournament wins	r=0.84	10yrs	149
The number of movies Ian Holm appeared in	r=0.73	12yrs	145
Carjackings in the US	r=0.67	19yrs	143
Violent crime rates	r=0.66	20yrs	142
China's Rare Earth Element Export Volume	r=0.78	11yrs	141
US Hospital Occupancy Rate	r=0.71	17yrs	140
Number of public school students in 9th grade	r=0.67	20yrs	140
Air pollution in New Haven, Connecticut	r=0.67	20yrs	140
How provocative Computerphile YouTube video titles are	r=0.72	10yrs	140
Cottage cheese consumption	r=0.75	19yrs	140
Disney movies released	r=0.63	20yrs	138
Remaining Forest Cover in the Brazilian Amazon	r=0.64	20yrs	138
GMO use in corn	r=-0.81	20yrs	138
Per capita consumption of margarine	r=0.78	7yrs	137
US household spending on new cars	r=0.67	20yrs	136
The number of movies Lucas Black appeared in	r=0.62	20yrs	136
Air pollution in Torrington, Connecticut	r=0.64	20yrs	135
GMO use in soybeans	r=-0.77	20yrs	134
Ice cream consumption	r=0.74	19yrs	128
Google searches for 'black holes'	r=0.7	19yrs	126
Kerosene used in Egypt	r=0.85	19yrs	126
Gasoline pumped in France	r=0.84	20yrs	116
Popularity of the first name Meaghan	r=0.84	18yrs	114
US production of yogurt, nonfrozen	r=-0.84	19yrs	114
Arson in Connecticut	r=0.63	20yrs	108
US milk fat used to produce fluid beverage milk	r=0.76	19yrs	104
Kerosene used in Peru	r=0.84	19yrs	104
Popularity of the first name Tiera	r=0.83	19yrs	103
Google searches for 'learn spanish'	r=0.67	19yrs	97
Arson in United States	r=0.61	20yrs	95
Kerosene used in Philippines	r=0.84	19yrs	94
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.77	19yrs	92
Popularity of the first name Iesha	r=0.82	19yrs	92
Google searches for 'matt parker'	r=0.67	19yrs	87
NASA's budget as a percentage of the total US Federal Budget	r=0.63	20yrs	86
Kerosene used in Sierra Leone	r=0.84	19yrs	84
US average dairy skim-solid content of bulk evaporated and condensed milk	r=0.77	19yrs	82
Popularity of the first name Tiarra	r=0.82	19yrs	82
Google searches for 'snoop dog'	r=0.67	19yrs	77
Jet fuel used in U.S. Virgin Islands	r=0.83	19yrs	73
Popularity of the first name Chandra	r=0.84	17yrs	72
US production of cottage cheese	r=0.72	19yrs	68
Popularity of the first name India	r=0.81	20yrs	61
US milk fat used to produce cottage cheese	r=0.71	19yrs	56
Popularity of the first name Tre	r=0.81	20yrs	51
US dairy skim solids used to produce cottage cheese	r=0.72	19yrs	46
Popularity of the first name Kia	r=0.81	20yrs	41
Portion of all US dairy skim-solids allocated to the production of evaporated and condensed milk	r=0.72	19yrs	35
Jet fuel used in Somalia	r=0.83	19yrs	33
Popularity of the first name Tariq	r=0.81	20yrs	31
US average milk-fat content of cottage cheese	r=0.72	19yrs	25
Electricity generation in Jamaica	r=0.8	19yrs	22
Popularity of the first name Casey	r=0.8	20yrs	20
Kerosene used in Brazil	r=0.82	19yrs	12
Popularity of the first name Jade	r=0.8	20yrs	10
Canned whole evaporated and condensed milk consumption	r=0.65	19yrs	0
Popularity of the first name Cierra	r=0.8	20yrs	0
Fossil fuel use in Macau	r=0.79	19yrs	0
Milk consumption	r=0.63	19yrs	-12
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.69	19yrs	-24
Sherbet consumption	r=0.61	19yrs	-36

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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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