Top variables that correlate with The number of proofreaders in North Carolina

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Data source: Bureau of Larbor Statistics
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The number of proofreaders in North Carolina correlates with...

Variable	Correlation	Years	Sys. Score
Google searches for 'report UFO sighting'	r=0.91	16yrs	376
Kerosene used in South Korea	r=0.95	16yrs	373
Popularity of the first name Ciera	r=0.93	16yrs	370
Popularity of the first name Mikala	r=0.93	16yrs	370
Popularity of the first name Lizette	r=0.93	16yrs	370
Jet fuel used in Albania	r=0.91	16yrs	367
Kerosene used in United States	r=0.91	16yrs	367
Popularity of the first name Tiffanie	r=0.93	16yrs	340
Cottage cheese consumption	r=0.87	16yrs	340
Google searches for 'attacked by a squirrel'	r=0.89	16yrs	340
Kerosene used in Japan	r=0.9	16yrs	336
GMO use in cotton in North Carolina	r=0.87	16yrs	336
Google searches for 'shook'	r=0.88	16yrs	336
Google searches for 'learn spanish'	r=0.88	16yrs	336
US household spending on clothing	r=0.89	16yrs	336
Physical album shipment volume in the United States	r=0.88	16yrs	334
US household spending on clothin for women	r=0.88	16yrs	334
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.88	16yrs	331
US average milk-fat content of frozen dairy products	r=0.88	16yrs	331
Popularity of the first name Christy	r=0.92	16yrs	328
How professional-sounding AsapSCIENCE YouTube video titles are	r=0.93	8yrs	320
Popularity of the first name Tess	r=0.92	16yrs	318
US birth rates of triplets or more	r=0.86	16yrs	308
Popularity of the first name Cassandra	r=0.91	16yrs	307
Remaining Forest Cover in the Brazilian Amazon	r=0.86	16yrs	307
Google searches for 'matt parker'	r=0.88	16yrs	306
The distance between Neptune and Mercury	r=0.86	16yrs	302
US household spending on prescription drugs	r=0.86	16yrs	301
US household spending on clothing for men	r=0.85	16yrs	300
Popularity of the first name Brittney	r=0.91	16yrs	297
Fossil fuel use in Slovakia	r=0.89	16yrs	297
Google searches for 'oprah winfrey'	r=0.88	16yrs	296
Popularity of the first name Ty	r=0.91	16yrs	287
Gasoline pumped in Italy	r=0.9	16yrs	286
Google searches for 'snoop dog'	r=0.87	16yrs	284
Pirate attacks globally	r=0.88	11yrs	284
Popularity of the first name Katlyn	r=0.91	16yrs	277
Gasoline pumped in Portugal	r=0.9	16yrs	276
Google searches for 'black holes'	r=0.87	16yrs	274
Total Goals Scored by Craig Bellamy in Club Football by Seasons	r=0.85	11yrs	272
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.87	16yrs	270
Popularity of the first name Colleen	r=0.91	16yrs	267
How good AsapSCIENCE YouTube video titles are	r=0.87	8yrs	266
Kerosene used globally	r=0.89	16yrs	264
Adrian Wilson's tackle count	r=0.89	9yrs	260
Popularity of the first name Lance	r=0.91	16yrs	257
Gasoline pumped in Austria	r=0.89	16yrs	254
Popularity of the first name Garret	r=0.91	16yrs	247
Kerosene used in Egypt	r=0.88	16yrs	242
Popularity of the first name Stefanie	r=0.91	16yrs	237
Liquefied petroleum gas used in Iran	r=0.88	16yrs	232
Google searches for 'E.T. phone home'	r=0.85	16yrs	231
Popularity of the first name Jarrod	r=0.91	16yrs	227
Gasoline pumped in Luxembourg	r=0.88	16yrs	222
Popularity of the first name Alysha	r=0.91	16yrs	217
Kerosene used in Mauritius	r=0.88	16yrs	212
Popularity of the first name Jena	r=0.91	16yrs	207
Kerosene used in Norway	r=0.88	16yrs	202
Popularity of the first name Ashli	r=0.91	16yrs	197
Viewership count for Days of Our Lives	r=0.83	16yrs	196
NASA's budget as a percentage of the total US Federal Budget	r=0.82	16yrs	196
Air pollution in Charlotte, North Carolina	r=0.84	16yrs	196
The distance between Neptune and the Sun	r=0.84	16yrs	194
The distance between Neptune and Earth	r=0.84	16yrs	194
The divorce rate in North Carolina	r=0.84	16yrs	194
U.S. intercountry adoptions	r=0.84	16yrs	193
Number of Portugal matches played by Cristiano Ronaldo	r=0.84	16yrs	193
Kerosene used in Switzerland	r=0.88	16yrs	192
Automotive recalls for issues with Vehicle Speed Control	r=0.83	16yrs	192
US household spending on floor coverings	r=0.83	16yrs	192
US household spending on books	r=0.82	16yrs	190
Popularity of the first name Kortney	r=0.91	16yrs	187
Kerosene used in Thailand	r=0.88	16yrs	182
Popularity of the first name Sydni	r=0.91	16yrs	177
Arson in United States	r=0.81	16yrs	176
Motor vehicle thefts	r=0.81	16yrs	176
GMO use in corn	r=-0.91	16yrs	174
The number of movies Lucas Black appeared in	r=0.8	16yrs	174
Motor vehicle thefts in North Carolina	r=0.79	16yrs	173
GMO use in corn	r=-0.89	16yrs	172
Air pollution in Durham, North Carolina	r=0.81	16yrs	172
Air pollution in Raleigh, North Carolina	r=0.81	16yrs	172
Number of public school students in 12th grade	r=-0.89	16yrs	169
The distance between Neptune and the moon	r=0.84	16yrs	164
Ice cream consumption	r=0.82	16yrs	158
US production of cottage cheese	r=0.84	16yrs	143
Fossil fuel use in Austria	r=0.86	16yrs	142
Arson in North Carolina	r=0.78	16yrs	142
GMO use in cotton in North Carolina	r=0.8	16yrs	140
Nuclear power generation in Germany	r=0.86	16yrs	132
US milk fat used to produce fluid beverage milk	r=0.83	16yrs	132
US dairy skim solids used to produce cottage cheese	r=0.84	16yrs	122
Kerosene used in Nepal	r=0.87	16yrs	121
Google searches for 'cia hotline'	r=0.83	16yrs	116
US average milk-fat content of cottage cheese	r=0.85	16yrs	112
Gasoline pumped in Norway	r=0.87	16yrs	111
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.82	16yrs	97
Google searches for 'best place to work'	r=-0.93	16yrs	82
Swiss cheese consumption	r=0.81	16yrs	76
Milk consumption	r=0.77	16yrs	62
Muenster cheese consumption	r=-0.88	16yrs	52

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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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