Top variables that correlate with The number of dental laboratory technicians in Louisiana

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Data source: Bureau of Larbor Statistics
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The number of dental laboratory technicians in Louisiana correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Cheryl	r=0.92	20yrs	372
Global iPod Sales	r=0.96	9yrs	370
Popularity of the first name Randi	r=0.9	20yrs	340
Popularity of the first name Ashton	r=0.89	20yrs	338
Jet fuel used in Cuba	r=0.89	19yrs	337
Kerosene used in Sierra Leone	r=0.89	19yrs	337
Gasoline pumped in Austria	r=0.87	20yrs	335
Google searches for 'E.T. phone home'	r=0.85	19yrs	334
US household spending on clothin for women	r=0.85	20yrs	334
Popularity of the first name Clarissa	r=0.89	20yrs	308
Kerosene used in Hong Kong	r=0.87	19yrs	304
Popularity of the first name Ross	r=0.89	20yrs	298
Petroluem consumption in Sweden	r=0.86	20yrs	294
Popularity of the first name Janet	r=0.89	20yrs	288
Gasoline pumped in Portugal	r=0.85	20yrs	282
Popularity of the first name Nikolas	r=0.89	20yrs	278
Gasoline pumped in United Kingdom	r=0.85	20yrs	272
Popularity of the first name Rasheed	r=0.89	20yrs	268
How nerdy SciShow Space YouTube video titles are	r=0.88	9yrs	268
How provocative Computerphile YouTube video titles are	r=0.87	10yrs	268
Petroluem consumption in Puerto Rico	r=0.85	19yrs	261
Divorce rates in the United Kingdom	r=0.85	10yrs	260
Popularity of the first name Delaney	r=0.88	20yrs	256
Kerosene used in Tunisia	r=0.85	19yrs	251
Popularity of the first name Larissa	r=0.88	20yrs	246
Popularity of the first name Jaquan	r=0.88	20yrs	236
US birth rates of triplets or more	r=0.84	19yrs	234
NASA's budget as a percentage of the total US Federal Budget	r=0.84	20yrs	233
Remaining Forest Cover in the Brazilian Amazon	r=0.83	20yrs	232
Arson in Louisiana	r=0.82	20yrs	232
Google searches for 'black holes'	r=0.85	19yrs	229
Google searches for 'panama canal'	r=0.84	19yrs	228
US household spending on clothing	r=0.85	20yrs	228
Physical album shipment volume in the United States	r=0.84	20yrs	227
US household spending on books	r=0.84	20yrs	227
Popularity of the first name Tamia	r=0.88	20yrs	226
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.84	19yrs	223
Popularity of the first name Alisa	r=0.88	20yrs	216
Popularity of the first name Coty	r=0.88	20yrs	206
Cottage cheese consumption	r=0.83	19yrs	202
Google searches for 'report UFO sighting'	r=0.81	19yrs	199
Google searches for 'matt parker'	r=0.84	19yrs	198
GMO use in cotton	r=0.82	20yrs	197
Popularity of the first name Melisa	r=0.88	20yrs	196
US household spending on postage and stationery	r=0.83	20yrs	196
Viewership count for Days of Our Lives	r=0.81	19yrs	196
U.S. intercountry adoptions	r=0.83	19yrs	194
Arson in United States	r=0.77	20yrs	194
Air pollution in Lafayette, Louisiana	r=0.79	20yrs	192
The distance between Neptune and the Sun	r=0.8	20yrs	192
The distance between Neptune and Earth	r=0.8	20yrs	192
The distance between Neptune and the moon	r=0.8	20yrs	192
NCAA Women's Ice Hockey National Championship Winner's Score	r=0.8	20yrs	191
Automotive recalls for issues with Vehicle Speed Control	r=0.79	20yrs	190
US production of cottage cheese	r=0.79	19yrs	188
Popularity of the first name Kenyatta	r=0.88	20yrs	186
Popularity of the first name Mercedes	r=0.87	20yrs	175
Motor vehicle thefts	r=0.74	20yrs	170
GMO use in corn	r=-0.82	20yrs	169
GMO use in cotton	r=-0.84	20yrs	168
Number of public school students in 12th grade	r=-0.83	20yrs	167
Popularity of the first name Kerry	r=0.87	20yrs	165
US average milk-fat content of frozen dairy products	r=0.81	19yrs	158
Popularity of the first name Bernard	r=0.87	20yrs	155
Google searches for 'learn spanish'	r=0.82	19yrs	154
US household spending on clothing for men	r=0.81	20yrs	152
US average milk-fat content of cottage cheese	r=0.81	19yrs	148
Popularity of the first name Maura	r=0.87	20yrs	145
Google searches for 'Panama Canal'	r=0.81	19yrs	143
Robberies in the US	r=0.74	20yrs	140
US household spending on prescription drugs	r=0.78	20yrs	138
US dairy skim solids used to produce cottage cheese	r=0.79	19yrs	137
GMO use in cotton	r=-0.82	20yrs	136
Petroluem consumption in Italy	r=0.84	20yrs	136
Google searches for 'cia hotline'	r=0.78	19yrs	132
Violent crime rates	r=0.73	20yrs	128
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.8	19yrs	127
US household spending on floor coverings	r=0.77	20yrs	126
Gasoline pumped in Italy	r=0.84	20yrs	126
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.79	19yrs	116
Robberies in Louisiana	r=0.72	20yrs	116
Kerosene used in Bangladesh	r=0.84	19yrs	114
Kerosene used in Belgium	r=0.83	20yrs	104
Google searches for 'shook'	r=0.77	19yrs	97
Annual US household spending on nonalcoholic beverages	r=-0.85	20yrs	96
Gasoline pumped in Denmark	r=0.83	20yrs	94
Milk consumption	r=0.76	19yrs	93
Google searches for 'Baroque Obama'	r=0.72	19yrs	86
Petroluem consumption in Germany	r=0.83	20yrs	84
US production of butter	r=-0.88	19yrs	78
Gasoline pumped in Norway	r=0.83	20yrs	74
US milk fat used to produce butter	r=-0.88	19yrs	68
Kerosene used in Norway	r=0.83	20yrs	64
Average milk produced per cow in the US	r=-0.83	20yrs	57
Petroluem consumption in Portugal	r=0.83	20yrs	54
US dairy skim solids used to produce butter	r=-0.88	19yrs	46
Kerosene used in South Korea	r=0.83	20yrs	44
Ice cream consumption	r=0.71	19yrs	34
Jet fuel used in Uzbekistan	r=0.84	19yrs	34
US production of sour cream	r=-0.84	19yrs	24
US milk fat used to produce fluid beverage milk	r=0.76	19yrs	14

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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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