Top variables that correlate with The number of tool and die makers in Connecticut

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Data source: Bureau of Larbor Statistics
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The number of tool and die makers in Connecticut correlates with...

Variable	Correlation	Years	Sys. Score
Gasoline pumped in Portugal	r=0.95	20yrs	407
US birth rates of triplets or more	r=0.93	19yrs	382
Nuclear power generation in Germany	r=0.95	19yrs	379
Popularity of the first name Leticia	r=0.95	20yrs	377
Popularity of the first name Jill	r=0.95	20yrs	377
Popularity of the first name Sarah	r=0.94	20yrs	376
Gasoline pumped in United Kingdom	r=0.94	20yrs	376
U.S. intercountry adoptions	r=0.93	19yrs	374
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.94	19yrs	373
Google searches for 'black holes'	r=0.91	19yrs	373
Physical album shipment volume in the United States	r=0.91	20yrs	372
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.92	19yrs	370
US average milk-fat content of frozen dairy products	r=0.92	19yrs	370
Remaining Forest Cover in the Brazilian Amazon	r=0.89	20yrs	346
Popularity of the first name Cody	r=0.94	20yrs	346
GMO use in cotton	r=0.9	20yrs	344
NASA's budget as a percentage of the total US Federal Budget	r=0.88	20yrs	344
Carjackings in the US	r=0.88	19yrs	344
Arson in United States	r=0.87	20yrs	344
Arson in Connecticut	r=0.87	20yrs	344
Gasoline pumped in Denmark	r=0.93	20yrs	344
Viewership count for Days of Our Lives	r=0.89	19yrs	343
Google searches for 'report UFO sighting'	r=0.87	19yrs	343
The distance between Neptune and the Sun	r=0.89	20yrs	341
The distance between Neptune and Earth	r=0.89	20yrs	341
The distance between Neptune and the moon	r=0.89	20yrs	341
Google searches for 'learn spanish'	r=0.89	19yrs	340
Google searches for 'panama canal'	r=0.88	19yrs	338
US household spending on floor coverings	r=0.88	20yrs	338
US household spending on clothing	r=0.88	20yrs	338
Popularity of the first name Michelle	r=0.94	20yrs	336
Global Per Capita Rice Consumption	r=0.88	17yrs	335
US household spending on natural gas	r=0.86	20yrs	335
US household spending on clothing for men	r=0.86	20yrs	335
US household spending on books	r=0.86	20yrs	335
Petroluem consumption in Italy	r=0.93	20yrs	334
US household spending on clothin for women	r=0.85	20yrs	334
Cigarette Smoking Rate for US adults	r=0.85	19yrs	332
Popularity of the first name Casey	r=0.94	20yrs	326
Gasoline pumped in Italy	r=0.93	20yrs	324
Ice cream consumption	r=0.89	19yrs	316
How clickbait-y SciShow Space YouTube video titles are	r=0.9	9yrs	316
Popularity of the first name Jamie	r=0.94	20yrs	316
Petroluem consumption in Portugal	r=0.93	20yrs	314
Violent crime rates	r=0.86	20yrs	312
Intercountry adoptions	r=0.91	11yrs	310
Google searches for 'Panama Canal'	r=0.87	19yrs	307
Popularity of the first name Angela	r=0.94	20yrs	306
Petroluem consumption in Sweden	r=0.93	20yrs	304
Milk consumption	r=0.87	19yrs	304
Motor vehicle thefts	r=0.85	20yrs	301
Popularity of the first name Alejandra	r=0.94	20yrs	296
Sherbet consumption	r=0.88	19yrs	294
Fossil fuel use in Denmark	r=0.91	19yrs	293
Popularity of the first name Sidney	r=0.94	20yrs	286
Kerosene used globally	r=0.93	19yrs	283
Cottage cheese consumption	r=0.87	19yrs	283
Popularity of the first name Mayra	r=0.94	20yrs	276
UK Public Library Count	r=0.86	12yrs	274
Kerosene used in Malawi	r=0.93	19yrs	273
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.9	19yrs	267
Popularity of the first name Tayler	r=0.94	20yrs	266
Kerosene used in Tunisia	r=0.93	19yrs	263
US average milk-fat content of cottage cheese	r=0.9	19yrs	257
Popularity of the first name Candace	r=0.94	20yrs	256
Fossil fuel use in Macau	r=0.9	19yrs	252
US milk fat used to produce fluid beverage milk	r=0.87	19yrs	246
Popularity of the first name Duncan	r=0.94	20yrs	246
Gasoline pumped in Austria	r=0.92	20yrs	242
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.89	19yrs	236
Popularity of the first name Margarita	r=0.94	20yrs	236
Gasoline pumped in Czechia	r=0.92	20yrs	232
US household spending on postage and stationery	r=0.84	20yrs	227
US household spending on prescription drugs	r=0.83	20yrs	226
Popularity of the first name Allan	r=0.94	20yrs	226
Kerosene used in Greece	r=0.92	20yrs	222
Popularity of the first name Stefanie	r=0.94	20yrs	216
Kerosene used in Macau	r=0.92	19yrs	212
Popularity of the first name Jaylon	r=0.94	20yrs	206
Gasoline pumped in Slovenia	r=0.92	20yrs	202
Popularity of the first name Rigoberto	r=0.94	20yrs	196
Number of games won by Miami Marlins in the National League (East Division)	r=0.82	20yrs	194
Automotive recalls for issues with Vehicle Speed Control	r=0.81	20yrs	192
Total value of all $1 bills printed	r=0.78	20yrs	192
Gasoline pumped in Norway	r=0.91	20yrs	191
AIG's stock price (AIG)	r=0.8	20yrs	191
Annual US household spending on floor coverings	r=0.8	20yrs	191
US household spending on mortgage interest and charges	r=0.8	20yrs	191
Google searches for 'snoop dog'	r=0.85	19yrs	189
Popularity of the first name Marisela	r=0.94	20yrs	186
Robberies in the US	r=0.84	20yrs	184
Kerosene used in Norway	r=0.91	20yrs	181
Google searches for 'shook'	r=0.84	19yrs	178
Viewership count of American Idol Season Finale	r=0.81	20yrs	147
NCAA Women's Ice Hockey National Championship Winner's Score	r=0.82	20yrs	139
Robberies in Connecticut	r=0.79	20yrs	137
Google searches for 'oprah winfrey'	r=0.82	19yrs	134
Robberies in Connecticut	r=0.79	20yrs	127
Google searches for 'E.T. phone home'	r=0.79	19yrs	120
US production of cottage cheese	r=0.85	19yrs	118
US dairy skim solids used to produce cottage cheese	r=0.85	19yrs	106

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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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