Top variables that correlate with The number of prepress technicians and workers in Indiana

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Data source: Bureau of Larbor Statistics
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The number of prepress technicians and workers in Indiana correlates with...

Variable	Correlation	Years	Has img?
Kerosene used in South Korea	r=0.97	20yrs	No
Kerosene used in South Korea	r=0.97	20yrs	No

The number of prepress technicians and workers in Indiana also correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Colby	r=0.97	20yrs	410
Popularity of the first name Ayanna	r=0.97	20yrs	410
Popularity of the first name Salena	r=0.97	20yrs	410
Kerosene used in Macau	r=0.96	19yrs	408
Kerosene used in Thailand	r=0.96	19yrs	408
US average milk-fat content of frozen dairy products	r=0.95	19yrs	404
US birth rates of triplets or more	r=0.94	19yrs	384
Remaining Forest Cover in the Brazilian Amazon	r=0.95	20yrs	384
Google searches for 'report UFO sighting'	r=0.92	19yrs	380
Viewership count for Days of Our Lives	r=0.93	19yrs	379
Popularity of the first name Justin	r=0.96	20yrs	378
GMO use in cotton	r=0.93	20yrs	378
Arson in Indiana	r=0.9	20yrs	378
The distance between Neptune and Earth	r=0.93	20yrs	377
The distance between Neptune and the Sun	r=0.92	20yrs	376
The distance between Neptune and the moon	r=0.92	20yrs	376
US household spending on books	r=0.93	20yrs	376
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.94	19yrs	373
Google searches for 'shook'	r=0.91	19yrs	373
Google searches for 'desktop background'	r=0.93	16yrs	373
Google searches for 'oprah winfrey'	r=0.91	19yrs	373
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.93	19yrs	372
US household spending on prescription drugs	r=0.91	20yrs	372
Physical album shipment volume in the United States	r=0.9	20yrs	371
Pirate attacks globally	r=0.91	14yrs	371
Popularity of the first name Kelsey	r=0.96	20yrs	368
Popularity of the first name Dominique	r=0.96	20yrs	358
Popularity of the first name Michaela	r=0.96	20yrs	348
Arson in United States	r=0.89	20yrs	347
Gasoline pumped in Italy	r=0.94	20yrs	346
NASA's budget as a percentage of the total US Federal Budget	r=0.88	20yrs	344
Viewership count of American Idol Season Finale	r=0.87	20yrs	341
US household spending on processed fruits	r=0.9	20yrs	341
Popularity of the first name Tori	r=0.96	20yrs	338
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.9	19yrs	337
U.S. intercountry adoptions	r=0.88	19yrs	337
Kerosene used in Norway	r=0.94	20yrs	336
United States music album sales	r=0.89	16yrs	336
US household spending on clothing	r=0.87	20yrs	336
US household spending on clothin for women	r=0.87	20yrs	336
US Hospital Occupancy Rate	r=0.88	17yrs	335
US household spending on postage and stationery	r=0.86	20yrs	335
Popularity of the first name Felicia	r=0.96	20yrs	328
Gasoline pumped in Slovenia	r=0.94	20yrs	326
Popularity of the first name Ross	r=0.96	20yrs	318
Associates degrees awarded in Business and management	r=0.91	11yrs	315
Gasoline pumped in Norway	r=0.93	20yrs	314
Popularity of the first name Jakob	r=0.96	20yrs	308
Google searches for 'learn spanish'	r=0.88	19yrs	308
Gasoline pumped in Portugal	r=0.93	20yrs	304
Milk consumption	r=0.87	19yrs	304
Popularity of the first name Karissa	r=0.96	20yrs	298
Google searches for 'life insurance quotes'	r=0.86	19yrs	296
Ice cream consumption	r=0.88	19yrs	294
Fossil fuel use in Denmark	r=0.91	19yrs	293
Popularity of the first name Abbey	r=0.96	20yrs	288
Google searches for 'matt parker'	r=0.86	19yrs	286
How nerdy MrBeast's YouTube video titles are	r=0.89	11yrs	286
How geeky MrBeast's YouTube video titles are	r=0.89	11yrs	286
Cigarette Smoking Rate for US adults	r=0.86	19yrs	284
Kerosene used globally	r=0.93	19yrs	283
US music album sales	r=0.88	16yrs	279
Associates degrees awarded in Business management	r=0.87	11yrs	279
Popularity of the first name Jeanette	r=0.96	20yrs	278
Google searches for 'black holes'	r=0.86	19yrs	276
US milk fat used to produce fluid beverage milk	r=0.86	19yrs	274
Kerosene used in Bangladesh	r=0.93	19yrs	273
Popularity of the first name Jarrod	r=0.96	20yrs	268
How professional-sounding LockPickingLawyer YouTube video titles are	r=0.88	8yrs	267
Kerosene used in Hong Kong	r=0.93	19yrs	263
US average milk-fat content of cottage cheese	r=0.85	19yrs	260
Popularity of the first name Shelbi	r=0.96	20yrs	258
Global iPod Sales	r=0.91	9yrs	253
Gasoline pumped in Austria	r=0.92	20yrs	252
Popularity of the first name Kerri	r=0.96	20yrs	248
Kerosene used in Egypt	r=0.92	19yrs	242
Popularity of the first name Breann	r=0.96	20yrs	238
Total length of LockPickingLawyer YouTube videos	r=0.87	8yrs	236
Burglary rates in the US	r=0.83	20yrs	233
Kerosene used in Japan	r=0.92	20yrs	232
Popularity of the first name Sydnee	r=0.96	20yrs	228
US household spending on vehicle insurance	r=0.85	20yrs	228
US household spending on floor coverings	r=0.84	20yrs	227
US household spending on fresh milk and cream	r=0.83	20yrs	226
US household spending on clothing for men	r=0.83	20yrs	226
Kerosene used in Philippines	r=0.92	19yrs	222
Popularity of the first name Sydni	r=0.96	20yrs	218
Petroluem consumption in Puerto Rico	r=0.92	19yrs	212
Robberies in the US	r=0.83	20yrs	203
Gasoline pumped in Switzerland	r=0.92	20yrs	202
The distance between Neptune and Mercury	r=0.85	20yrs	200
xkcd comics published about romance	r=0.85	16yrs	200
xkcd comics published about sarcasm	r=0.84	16yrs	199
Air pollution in Vincennes, Indiana	r=0.82	20yrs	197
Air pollution in Michigan City, Indiana	r=0.81	20yrs	196
Gasoline pumped in United Kingdom	r=0.92	20yrs	192
Gasoline pumped in Denmark	r=0.91	20yrs	181
Google searches for 'panama canal'	r=0.84	19yrs	158
Violent crime rates	r=0.79	20yrs	157
Cottage cheese consumption	r=0.85	19yrs	155

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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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