Top variables that correlate with The number of foundry mold and coremakers in Indiana

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Data source: Bureau of Larbor Statistics
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The number of foundry mold and coremakers in Indiana correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the 'gangnam style' meme	r=0.97	11yrs	410
Google searches for 'Gangnam Style'	r=0.97	11yrs	404
Popularity of the first name Felicia	r=0.94	20yrs	376
Fossil fuel use in Slovakia	r=0.92	19yrs	374
Master's degrees awarded in Education	r=0.96	10yrs	373
Popularity of the first name Brandi	r=0.92	20yrs	372
Popularity of the first name Hanna	r=0.92	20yrs	372
Kerosene used in South Korea	r=0.91	20yrs	371
Gasoline pumped in Luxembourg	r=0.9	20yrs	370
Popularity of the 'call me maybe' meme	r=0.94	11yrs	346
Popularity of the first name Ashleigh	r=0.92	20yrs	342
Remaining Forest Cover in the Brazilian Amazon	r=0.87	20yrs	342
Arson in Indiana	r=0.85	20yrs	341
US birth rates of triplets or more	r=0.85	19yrs	340
Viewership count for Days of Our Lives	r=0.87	19yrs	340
US household spending on books	r=0.89	20yrs	340
Associates degrees awarded in Education	r=0.93	11yrs	338
Physical album shipment volume in the United States	r=0.87	20yrs	336
The distance between Neptune and Mercury	r=0.86	20yrs	336
US household spending on prescription drugs	r=0.87	20yrs	336
US average milk-fat content of frozen dairy products	r=0.88	19yrs	334
Popularity of the first name Jarrod	r=0.92	20yrs	332
Popularity of the first name Cierra	r=0.91	20yrs	321
How 'hip and with it' Extra History YouTube video titles are	r=0.91	11yrs	320
Master's degrees awarded in Library science	r=0.92	10yrs	317
Popularity of the first name Teresa	r=0.91	20yrs	311
Total views on Vihart's YouTube videos	r=0.89	14yrs	310
Gasoline pumped in Italy	r=0.89	20yrs	308
Total likes of Vihart's YouTube videos	r=0.87	14yrs	306
Popularity of the first name Ross	r=0.91	20yrs	301
Kerosene used in Macau	r=0.9	19yrs	298
Popularity of the first name Justina	r=0.91	20yrs	291
Kerosene used in Bangladesh	r=0.88	19yrs	286
Popularity of the 'what does the fox say' meme	r=0.87	10yrs	284
Popularity of the first name Christin	r=0.91	20yrs	281
Kerosene used in Brazil	r=0.88	19yrs	276
How geeky Tom Scott's YouTube video titles are	r=0.86	14yrs	275
Popularity of the first name Jarod	r=0.91	20yrs	271
Kerosene used in Hong Kong	r=0.88	19yrs	266
Total comments on Vihart's YouTube videos	r=0.86	14yrs	265
Popularity of the first name Courtney	r=0.9	20yrs	260
Divorce rates in the United Kingdom	r=0.85	10yrs	260
Kerosene used in Japan	r=0.88	20yrs	256
Popularity of the first name Sierra	r=0.9	20yrs	250
Associates degrees awarded in Business and management	r=0.87	11yrs	249
Petroluem consumption in Puerto Rico	r=0.88	19yrs	246
Popularity of the first name Kelly	r=0.9	20yrs	240
Kerosene used in Thailand	r=0.88	19yrs	236
Popularity of the first name Kristen	r=0.9	20yrs	230
GMO use in cotton	r=0.83	20yrs	228
Google searches for 'matt parker'	r=0.84	19yrs	228
The distance between Neptune and the Sun	r=0.83	20yrs	227
The distance between Neptune and Earth	r=0.83	20yrs	227
US household spending on processed fruits	r=0.84	20yrs	227
Air pollution in Michigan City, Indiana	r=0.82	20yrs	227
Kerosene used in Norway	r=0.87	20yrs	225
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 Brittney	r=0.9	20yrs	220
Hydopower energy generated in Tunisia	r=0.85	19yrs	214
Popularity of the first name Colby	r=0.9	20yrs	210
Kerosene used in Egypt	r=0.87	19yrs	204
Popularity of the first name Krista	r=0.9	20yrs	200
Google searches for 'report UFO sighting'	r=0.81	19yrs	199
Cottage cheese consumption	r=0.8	19yrs	198
Arson in United States	r=0.8	20yrs	198
The distance between Neptune and the moon	r=0.83	20yrs	197
Kerosene used in Nepal	r=0.87	19yrs	194
Viewership count of American Idol Season Finale	r=0.79	20yrs	194
Google searches for 'oprah winfrey'	r=0.82	19yrs	194
Motor vehicle thefts	r=0.77	20yrs	194
U.S. intercountry adoptions	r=0.81	19yrs	192
US household spending on beef	r=0.81	20yrs	192
US household spending on clothin for women	r=0.8	20yrs	191
US household spending on transportation	r=0.8	20yrs	191
Popularity of the first name Tia	r=0.9	20yrs	190
Air pollution in South Bend, Indiana	r=0.77	20yrs	190
US household spending on fresh milk and cream	r=0.78	20yrs	188
US household spending on clothing	r=0.78	20yrs	188
Air pollution in Indianapolis, Indiana	r=0.76	20yrs	188
US household spending on postage and stationery	r=0.77	20yrs	186
US household spending on floor coverings	r=0.77	20yrs	186
Kerosene used in Philippines	r=0.87	19yrs	184
Popularity of the first name Kelli	r=0.9	20yrs	180
GMO use in soybeans	r=-0.89	20yrs	176
GMO use in soybeans	r=-0.89	20yrs	176
Number of public school students in 11th grade	r=-0.92	20yrs	176
Kerosene used in Sierra Leone	r=0.87	19yrs	174
Ice cream consumption	r=0.79	19yrs	166
Kerosene used in Vietnam	r=0.87	19yrs	164
Motor vehicle thefts in Indiana	r=0.77	20yrs	164
Google searches for 'snoop dog'	r=0.81	19yrs	163
Brick cheese consumption	r=0.78	19yrs	154
Kerosene used globally	r=0.86	19yrs	152
Google searches for 'learn spanish'	r=0.8	19yrs	152
GMO use in corn	r=-0.88	20yrs	145
Liquefied petroleum gas used in Norway	r=0.85	20yrs	142
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.83	19yrs	142
Google searches for 'E.T. phone home'	r=0.79	19yrs	140
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.8	19yrs	127
Google searches for 'black holes'	r=0.77	19yrs	127
How geeky MrBeast's YouTube video titles are	r=0.85	11yrs	126

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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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