Top variables that correlate with The number of hoist and winch operators in Tennessee

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Data source: Bureau of Larbor Statistics
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The number of hoist and winch operators in Tennessee correlates with...

Variable	Correlation	Years	Sys. Score
Liquefied petroleum gas used in Saint Lucia	r=0.94	16yrs	372
US Hospital Occupancy Rate	r=0.91	16yrs	368
Popularity of the first name Ashanti	r=0.9	16yrs	366
Mizuho Financial Group's stock price (MFG)	r=0.92	12yrs	336
Popularity of the first name Serena	r=0.88	16yrs	332
Automotive recalls for issues with Service Brakes, Air	r=0.86	16yrs	301
Kerosene used in Cyprus	r=0.87	16yrs	301
Liquefied petroleum gas used in Trinidad and Tobago	r=0.87	16yrs	301
Popularity of the first name Moesha	r=0.87	12yrs	277
Kerosene used in Brazil	r=0.86	16yrs	270
Gasoline pumped in Romania	r=0.85	16yrs	258
The number of movies Sean Penn appeared in	r=0.83	16yrs	199
The number of movies John Rhys-Davies appeared in	r=0.82	16yrs	178
Disney movies released	r=0.75	16yrs	167
Popularity of the first name Dawn	r=0.85	16yrs	163
West Nile Virus Cases	r=0.75	16yrs	161
US household spending on fish and seafood	r=0.75	16yrs	160
Total views on LEMMiNO YouTube videos	r=0.83	7yrs	154
Popularity of the first name Shaquan	r=0.84	16yrs	152
Master's degrees awarded in Communications technologies	r=0.82	7yrs	149
Google searches for 'Baroque Obama'	r=0.73	15yrs	148
Google searches for 'Tamagotchi'	r=0.78	11yrs	146
How good Matt Parker's YouTube video titles are	r=0.77	8yrs	146
Ana Ivanovic's WTA Finals played	r=0.81	10yrs	144
xkcd comics published about hobbies	r=0.73	12yrs	144
How professional-sounding Steve Mould's YouTube video titles are	r=0.75	10yrs	144
NatWest Group's stock price (NWG)	r=0.77	11yrs	142
Number of Automotive Franchise Establishments in the US	r=0.8	8yrs	141
Viewership count for Days of Our Lives	r=0.69	16yrs	140
Processed cheese consumption	r=0.67	16yrs	140
US household spending on meats, poultry, fish, and eggs	r=0.72	16yrs	140
xkcd comics published about star wars	r=0.71	12yrs	140
Remaining Forest Cover in the Brazilian Amazon	r=0.67	16yrs	138
GMO use in cotton in Tennessee	r=0.7	14yrs	138
Google searches for 'housing prices'	r=0.73	11yrs	138
US household spending on pork	r=0.71	16yrs	138
Kerosene used in Peru	r=0.82	16yrs	138
US household spending on beef	r=0.7	16yrs	137
NASA's budget as a percentage of the total US Federal Budget	r=0.65	16yrs	136
Associates degrees awarded in Library science	r=0.74	8yrs	136
xkcd comics published about programming	r=0.68	12yrs	136
US household spending on new cars	r=0.66	16yrs	131
Height of Miss Universe Pageant winner	r=0.71	11yrs	130
Detroit Tigers' number of lost games in a specific season of the American League	r=0.65	16yrs	130
Carjackings in the US	r=0.6	16yrs	130
US household spending on vehicle purchaes	r=0.65	16yrs	130
US household spending on books	r=0.65	16yrs	130
United States music album sales	r=0.67	12yrs	128
National Grid's stock price (NGG)	r=0.66	13yrs	128
Bachelor's degrees awarded in law enforcement	r=0.74	7yrs	127
The marriage rate in Tennessee	r=0.63	16yrs	126
Ice cream consumption	r=0.57	16yrs	125
Canned whole evaporated and condensed milk consumption	r=0.57	16yrs	125
Motor vehicle thefts in Tennessee	r=0.57	16yrs	125
US birth rates of triplets or more	r=0.56	16yrs	124
The number of movies Ellen Page appeared in	r=0.74	16yrs	120
Popularity of the first name Lizbeth	r=0.82	16yrs	118
The number of movies Colin Farrell appeared in	r=0.73	16yrs	109
Popularity of the first name Yamilex	r=0.82	16yrs	108
Kerosene used in Turkmenistan	r=-0.93	16yrs	108
Google searches for 'Bratz Dolls'	r=0.7	11yrs	104
How geeky Extra History YouTube video titles are	r=0.75	7yrs	102
Popularity of the first name Jair	r=0.82	16yrs	98
Gasoline pumped in Dominica	r=0.81	16yrs	97
The number of movies Harvey Keitel appeared in	r=0.71	16yrs	96
Points Scored by Winning Team in Super Bowl	r=0.59	16yrs	96
US average milk-fat content of frozen dairy products	r=0.64	16yrs	95
Google searches for 'Tom Scott'	r=0.67	12yrs	90
Kerosene used in Portugal	r=0.81	16yrs	87
Mike Modano's regular season NHL goal assists	r=0.69	9yrs	85
Popularity of the first name Kerri	r=0.79	16yrs	84
The number of movies Monica Bellucci appeared in	r=0.68	16yrs	82
Google searches for 'Justin Timberlake'	r=0.65	15yrs	80
Kerosene used in Thailand	r=0.8	16yrs	76
Popularity of the first name Najee	r=0.78	16yrs	72
The number of movies Humphrey Bogart appeared in	r=0.66	16yrs	68
Google searches for 'spiderman'	r=0.64	15yrs	68
Kerosene used in Australia	r=0.78	16yrs	62
Popularity of the first name Hayley	r=0.77	16yrs	61
The number of movies Halle Berry appeared in	r=0.62	16yrs	52
Popularity of the first name Clayton	r=0.77	16yrs	51
Kerosene used in Burkina Faso	r=0.75	16yrs	48
The number of movies Alfre Woodard appeared in	r=0.61	16yrs	41
Popularity of the first name Cade	r=0.77	16yrs	41
Popularity of the first name Kacie	r=0.77	16yrs	31
The number of movies Geoffrey Rush appeared in	r=0.6	16yrs	30
Popularity of the first name Coby	r=0.77	16yrs	21
Kerosene used in Egypt	r=0.73	16yrs	20
The number of movies Carey Mulligan appeared in	r=0.61	14yrs	19
Popularity of the first name Spenser	r=0.77	16yrs	11
Gasoline pumped in Eritrea	r=0.73	16yrs	10
Popularity of the first name Jarrett	r=0.76	16yrs	0
Liquefied petroleum gas used in Luxembourg	r=0.72	16yrs	-2
Popularity of the first name Anissa	r=0.76	16yrs	-10
Kerosene used in Philippines	r=0.71	16yrs	-13
Popularity of the first name Domonique	r=0.76	16yrs	-20
Fossil fuel use in Sweden	r=0.67	16yrs	-26
Popularity of the first name Daija	r=0.76	16yrs	-30
Kerosene used in Hong Kong	r=0.69	16yrs	-36
Kerosene used in South Korea	r=0.69	16yrs	-46
Kerosene used in Macau	r=0.68	16yrs	-58

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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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