Top variables that correlate with The number of sewing machine operators in Kansas

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Data source: Bureau of Larbor Statistics
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The number of sewing machine operators in Kansas correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Rudy	r=0.91	20yrs	371
Popularity of the first name Halle	r=0.91	20yrs	371
Popularity of the first name Freddie	r=0.91	20yrs	371
Google searches for 'report UFO sighting'	r=0.86	19yrs	342
Fossil fuel use in Slovakia	r=0.9	19yrs	342
Popularity of the first name Tyquan	r=0.9	20yrs	340
US milk fat used to produce fluid beverage milk	r=0.89	19yrs	338
Liquefied petroleum gas used in Greenland	r=0.89	19yrs	337
Google searches for 'Stand-Up Maths'	r=0.88	16yrs	336
US household spending on beef	r=0.87	20yrs	336
Geothermal power generated in Austria	r=0.88	16yrs	336
US household spending on processed fruits	r=0.85	20yrs	334
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.87	19yrs	332
Popularity of the first name Tyesha	r=0.91	17yrs	328
Popularity of the first name Myesha	r=0.92	16yrs	318
Kerosene used in Hong Kong	r=0.88	19yrs	306
Kerosene used in Malawi	r=0.88	19yrs	296
Kerosene used in South Korea	r=0.88	20yrs	286
Popularity of the first name Sade	r=0.9	20yrs	280
Kerosene used in Switzerland	r=0.88	20yrs	276
Popularity of the first name Nakia	r=0.9	20yrs	270
Total comments on Technology Connections YouTube videos	r=0.88	8yrs	267
Electricity generation in U.S. Virgin Islands	r=0.85	19yrs	264
Total length of PBS Space Time YouTube videos	r=0.85	8yrs	262
Popularity of the first name Shaye	r=0.9	20yrs	260
Fossil fuel use in U.S. Virgin Islands	r=0.85	19yrs	254
Popularity of the first name Sabrina	r=0.89	20yrs	248
Gasoline pumped in Luxembourg	r=0.86	20yrs	244
Popularity of the first name Tommy	r=0.89	20yrs	238
Kerosene used in Macau	r=0.87	19yrs	234
Arson in United States	r=0.83	20yrs	233
GMO use in cotton	r=0.84	20yrs	230
Popularity of the first name Kelley	r=0.89	20yrs	228
Physical album shipment volume in the United States	r=0.84	20yrs	227
US household spending on floor coverings	r=0.84	20yrs	227
Gasoline pumped in Portugal	r=0.86	20yrs	224
US average milk-fat content of frozen dairy products	r=0.84	19yrs	223
Popularity of the first name Stefanie	r=0.89	20yrs	218
Jet fuel used in Albania	r=0.86	19yrs	212
Popularity of the first name Alysha	r=0.89	20yrs	208
Kerosene used in Egypt	r=0.86	19yrs	202
US birth rates of triplets or more	r=0.83	19yrs	202
Popularity of the first name Shana	r=0.89	20yrs	198
Motor vehicle thefts	r=0.8	20yrs	198
Violent crime rates	r=0.8	20yrs	198
Remaining Forest Cover in the Brazilian Amazon	r=0.8	20yrs	197
Viewership count of American Idol Season Finale	r=0.8	20yrs	196
Google searches for 'learn spanish'	r=0.83	19yrs	196
US household spending on prescription drugs	r=0.82	20yrs	194
Google searches for 'black holes'	r=0.82	19yrs	194
The distance between Neptune and the Sun	r=0.81	20yrs	194
The distance between Neptune and Earth	r=0.81	20yrs	194
The distance between Neptune and the moon	r=0.81	20yrs	194
Viewership count for Days of Our Lives	r=0.79	19yrs	193
U.S. intercountry adoptions	r=0.82	19yrs	193
Kerosene used in Philippines	r=0.85	19yrs	191
Popularity of the first name Keyshawn	r=0.89	20yrs	188
Popularity of the first name Kevon	r=0.89	20yrs	178
Number of Lawyers in the United States	r=-0.86	20yrs	174
GMO use in corn	r=-0.86	20yrs	173
GMO use in soybeans	r=-0.86	20yrs	173
Ice cream consumption	r=0.83	19yrs	172
Disney movies released	r=0.75	20yrs	171
Popularity of the first name Danae	r=0.89	20yrs	168
Google searches for 'mortgage rates'	r=0.81	19yrs	163
The distance between Neptune and Mercury	r=0.79	20yrs	161
Canned whole evaporated and condensed milk consumption	r=0.81	19yrs	159
Popularity of the first name Yessica	r=0.89	20yrs	158
Google searches for 'E.T. phone home'	r=0.8	19yrs	152
US household spending on books	r=0.81	20yrs	152
Popularity of the first name Halley	r=0.89	20yrs	148
GMO use in soybeans	r=-0.86	20yrs	143
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.82	19yrs	140
US household spending on meats, poultry, fish, and eggs	r=0.78	20yrs	138
GMO use in corn grown in Kansas	r=-0.85	20yrs	132
US average dairy skim-solid content of cheese (other than cottage cheese)	r=0.82	19yrs	130
The distance between Saturn and the Sun	r=-0.87	20yrs	130
US household spending on vehicle insurance	r=0.78	20yrs	128
GMO use in corn	r=-0.85	20yrs	122
Google searches for 'i cant even'	r=-0.89	19yrs	120
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.8	19yrs	117
US household spending on pork	r=0.77	20yrs	116
GMO use in cotton	r=-0.88	20yrs	112
Portion of all US dairy skim-solids allocated to the production of evaporated and condensed milk	r=0.79	19yrs	106
US household spending on fish and seafood	r=0.77	20yrs	106
GMO use in corn grown in Kansas	r=0.75	20yrs	100
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.79	19yrs	96
US household spending on natural gas	r=0.77	20yrs	96
GMO use in corn grown in Kansas	r=-0.83	20yrs	90
US household spending on postage and stationery	r=0.76	20yrs	85
GMO use in cotton	r=-0.86	20yrs	80
Kerosene used in Belgium	r=0.85	20yrs	77
Yogurt consumption	r=-0.87	19yrs	74
Gasoline pumped in Denmark	r=0.84	20yrs	66
Milk consumption	r=0.76	19yrs	63
Kerosene used in Greece	r=0.84	20yrs	56
Cottage cheese consumption	r=0.76	19yrs	52
Kerosene used in Indonesia	r=0.85	19yrs	46
Muenster cheese consumption	r=-0.85	19yrs	42
Gasoline pumped in Italy	r=0.84	20yrs	36
US dairy skim solids used to produce evaporated and condensed milk	r=-0.92	19yrs	30

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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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