Top variables that correlate with The number of boiler operators in Arizona

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Data source: Bureau of Larbor Statistics
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The number of boiler operators in Arizona correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Clayton	r=0.94	20yrs	376
Popularity of the first name Cherokee	r=0.94	20yrs	376
Popularity of the first name Alec	r=0.93	20yrs	374
Kerosene used in South Korea	r=0.91	20yrs	371
Kerosene used in Nepal	r=0.91	19yrs	370
How good LockPickingLawyer YouTube video titles are	r=0.96	8yrs	354
Remaining Forest Cover in the Brazilian Amazon	r=0.89	20yrs	346
Popularity of the first name Hayley	r=0.92	20yrs	342
NASA's budget as a percentage of the total US Federal Budget	r=0.85	20yrs	340
US household spending on books	r=0.89	20yrs	340
Kerosene used in Japan	r=0.89	20yrs	338
Physical album shipment volume in the United States	r=0.86	20yrs	335
US average milk-fat content of frozen dairy products	r=0.88	19yrs	334
Google searches for 'panama canal'	r=0.85	19yrs	334
Popularity of the first name Jamal	r=0.92	20yrs	332
Popularity of the first name Jaclyn	r=0.92	20yrs	322
Divorce rates in the United Kingdom	r=0.92	10yrs	316
How geeky SciShow Space YouTube video titles are	r=0.9	9yrs	316
Popularity of the first name Devonte	r=0.92	20yrs	312
Kerosene used in Norway	r=0.89	20yrs	308
Popularity of the first name Jarred	r=0.92	20yrs	302
Average length of LockPickingLawyer YouTube videos	r=0.91	8yrs	302
Jet fuel used in Barbados	r=0.89	19yrs	297
Popularity of the first name Kerri	r=0.92	20yrs	292
Kerosene used in Peru	r=0.89	19yrs	287
Popularity of the first name Anissa	r=0.92	20yrs	282
Kerosene used in Philippines	r=0.89	19yrs	277
Popularity of the first name Sydni	r=0.92	20yrs	272
How professional-sounding LockPickingLawyer YouTube video titles are	r=0.91	8yrs	272
Kerosene used in Thailand	r=0.89	19yrs	267
Popularity of the first name Jarod	r=0.92	20yrs	262
Total length of LockPickingLawyer YouTube videos	r=0.91	8yrs	262
Kerosene used in Egypt	r=0.88	19yrs	256
Popularity of the first name Grace	r=0.91	20yrs	251
How geeky LockPickingLawyer YouTube video titles are	r=0.9	8yrs	250
Petroluem consumption in Germany	r=0.88	20yrs	246
Popularity of the first name Brittney	r=0.91	20yrs	241
Kerosene used in Sierra Leone	r=0.88	19yrs	236
Viewership count for Days of Our Lives	r=0.85	19yrs	232
Popularity of the first name Christine	r=0.91	20yrs	231
Google searches for 'learn spanish'	r=0.85	19yrs	229
Google searches for 'shook'	r=0.84	19yrs	228
Jet fuel used in Uzbekistan	r=0.88	19yrs	226
The marriage rate in Arizona	r=0.84	19yrs	226
Average number of comments on Extra History YouTube videos	r=0.89	11yrs	226
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.84	19yrs	223
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.83	19yrs	222
Popularity of the first name Lisa	r=0.91	20yrs	221
Gasoline pumped in Austria	r=0.87	20yrs	215
Average views of Extra History YouTube videos	r=0.88	11yrs	215
Popularity of the first name Clarissa	r=0.91	20yrs	211
Kerosene used in Brazil	r=0.87	19yrs	204
Popularity of the first name Ellen	r=0.91	20yrs	201
US birth rates of triplets or more	r=0.8	19yrs	198
Arson in United States	r=0.8	20yrs	198
Motor vehicle thefts	r=0.79	20yrs	197
Google searches for 'Panama Canal'	r=0.83	19yrs	196
Kerosene used in Hong Kong	r=0.87	19yrs	194
GMO use in cotton	r=0.8	20yrs	194
US household spending on clothing	r=0.82	20yrs	194
Burglaries in Arizona	r=0.77	20yrs	194
Automotive recalls for issues with Vehicle Speed Control	r=0.81	20yrs	192
The distance between Neptune and the Sun	r=0.8	20yrs	192
The distance between Neptune and Earth	r=0.8	20yrs	192
The distance between Neptune and the moon	r=0.8	20yrs	192
US household spending on floor coverings	r=0.81	20yrs	192
Popularity of the first name Ross	r=0.91	20yrs	191
US household spending on clothing for men	r=0.8	20yrs	191
Total value of all $1 bills printed	r=0.77	20yrs	191
U.S. intercountry adoptions	r=0.8	19yrs	190
US household spending on postage and stationery	r=0.79	20yrs	190
US household spending on clothin for women	r=0.79	20yrs	190
How insightful LockPickingLawyer YouTube video titles are	r=0.89	8yrs	188
Career regular season goals scored by Sidney Crosby	r=0.78	20yrs	188
Air pollution in Payson, Arizona	r=0.76	20yrs	188
Google searches for 'black holes'	r=0.83	19yrs	186
Total annual sales of Ford Motors in the United States	r=0.79	19yrs	186
US household spending on beef	r=0.76	20yrs	185
US household spending on prescription drugs	r=0.76	20yrs	185
Gasoline pumped in Portugal	r=0.86	20yrs	184
Popularity of the first name Ann	r=0.91	20yrs	181
How cool LockPickingLawyer YouTube video titles are	r=0.88	8yrs	177
GMO use in corn	r=-0.9	20yrs	177
GMO use in soybeans	r=-0.9	20yrs	177
Kerosene used in Taiwan	r=0.87	19yrs	174
Annual US household spending on electricity	r=-0.92	20yrs	173
Ice cream consumption	r=0.81	19yrs	169
Kerosene used in Tunisia	r=0.87	19yrs	164
How nerdy LockPickingLawyer YouTube video titles are	r=0.86	8yrs	164
Cottage cheese consumption	r=0.8	19yrs	158
Jet fuel used in U.S. Virgin Islands	r=0.87	19yrs	154
GMO use in soybeans	r=-0.9	20yrs	147
Google searches for 'snoop dog'	r=0.83	19yrs	146
Kerosene used in Vietnam	r=0.87	19yrs	144
US milk fat used to produce fluid beverage milk	r=0.8	19yrs	140
Google searches for 'matt parker'	r=0.82	19yrs	134
US production of cottage cheese	r=0.79	19yrs	128
Google searches for 'oprah winfrey'	r=0.8	19yrs	122
US dairy skim solids used to produce cottage cheese	r=0.78	19yrs	116
US average milk-fat content of cottage cheese	r=0.79	19yrs	106
Yogurt consumption	r=-0.87	19yrs	84

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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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