Top variables that correlate with The number of switchboard operators in Guam

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Data source: Bureau of Larbor Statistics
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The number of switchboard operators in Guam correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Lauryn	r=0.97	16yrs	406
Remaining Forest Cover in the Brazilian Amazon	r=0.91	16yrs	374
Popularity of the first name Dylan	r=0.94	16yrs	372
Popularity of the first name Carl	r=0.94	16yrs	372
US household spending on books	r=0.91	16yrs	368
NASA's budget as a percentage of the total US Federal Budget	r=0.89	16yrs	342
Popularity of the first name Matthew	r=0.93	16yrs	340
Viewership count for Days of Our Lives	r=0.88	16yrs	338
Physical album shipment volume in the United States	r=0.89	16yrs	336
US household spending on clothing	r=0.89	16yrs	336
US household spending on clothing for men	r=0.89	16yrs	336
Geothermal power generated in Japan	r=0.88	16yrs	336
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.9	16yrs	334
Kerosene used globally	r=0.88	16yrs	332
Petroluem consumption in Japan	r=0.88	16yrs	332
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.88	16yrs	331
US average milk-fat content of frozen dairy products	r=0.88	16yrs	331
Popularity of the first name Paige	r=0.93	16yrs	330
Popularity of the first name Serina	r=0.93	16yrs	320
Divorce rates in the United Kingdom	r=0.93	10yrs	317
Popularity of the first name Brittany	r=0.92	16yrs	308
US birth rates of triplets or more	r=0.86	16yrs	308
Arson in United States	r=0.85	16yrs	307
Google searches for 'panama canal'	r=0.88	15yrs	304
Google searches for 'Panama Canal'	r=0.87	15yrs	303
Kerosene used in Philippines	r=0.88	16yrs	302
U.S. intercountry adoptions	r=0.87	16yrs	302
US household spending on postage and stationery	r=0.87	16yrs	302
The distance between Neptune and the Sun	r=0.85	16yrs	301
Popularity of the first name Adam	r=0.92	16yrs	298
Bachelor's degrees awarded in Communications technologies	r=0.91	7yrs	298
Petroluem consumption in Puerto Rico	r=0.88	16yrs	292
Popularity of the first name Dalton	r=0.92	16yrs	288
Kerosene used in Sierra Leone	r=0.88	16yrs	282
Popularity of the first name Cassidy	r=0.92	16yrs	278
Ice cream consumption	r=0.85	16yrs	277
Median Weekly Earnings of Self-Employed Workers in the UK	r=0.87	11yrs	274
Kerosene used in Taiwan	r=0.88	16yrs	272
Popularity of the first name Donald	r=0.92	16yrs	268
Master's degrees awarded in Architecture	r=0.89	7yrs	264
Bachelor's degrees awarded in Theology and religious vocations	r=0.88	7yrs	263
How good AsapSCIENCE YouTube video titles are	r=0.86	7yrs	263
Kerosene used in Tunisia	r=0.88	16yrs	262
Popularity of the first name Kristina	r=0.92	16yrs	258
Kerosene used in Bangladesh	r=0.87	16yrs	251
Popularity of the first name Julie	r=0.92	16yrs	248
Kerosene used in Macau	r=0.87	16yrs	241
Popularity of the first name Skyler	r=0.92	16yrs	238
Master's degrees awarded in Philosophy and religious studies	r=0.88	7yrs	233
Gasoline pumped in Portugal	r=0.87	16yrs	231
Popularity of the first name Bridget	r=0.92	16yrs	228
Popularity of the first name Allen	r=0.92	16yrs	218
Popularity of the first name Marc	r=0.92	16yrs	208
Carjackings in the US	r=0.85	16yrs	202
Motor vehicle thefts	r=0.84	16yrs	200
Disney movies released	r=0.83	16yrs	199
Popularity of the first name Dale	r=0.92	16yrs	198
GMO use in cotton	r=0.84	16yrs	196
The distance between Neptune and Earth	r=0.85	16yrs	196
The distance between Neptune and the moon	r=0.85	16yrs	196
Google searches for 'snoop dog'	r=0.85	15yrs	195
US household spending on beef	r=0.83	16yrs	192
Kerosene used in Hong Kong	r=0.87	16yrs	191
Popularity of the first name Eugene	r=0.92	16yrs	188
Gasoline pumped in Italy	r=0.87	16yrs	181
Popularity of the first name Tracey	r=0.92	16yrs	178
Number of public school students in 9th grade	r=0.81	16yrs	172
Kerosene used in Japan	r=0.87	16yrs	171
Number of public school students in 12th grade	r=-0.91	16yrs	171
Annual US household spending on property taxes	r=-0.94	16yrs	171
Ticket prices at North American movie theaters	r=-0.9	16yrs	170
Google searches for 'report UFO sighting'	r=0.78	15yrs	170
McDonald's stock price (MCD)	r=-0.89	16yrs	170
US household spending on floor coverings	r=0.82	16yrs	170
Annual US household spending on bakery products	r=-0.91	16yrs	168
Annual US household spending on processed vegetables	r=-0.91	16yrs	168
Economic output of Washington metro area	r=-0.9	16yrs	167
Inflation in the US	r=-0.9	16yrs	167
Automotive recalls for issues with Vehicle Speed Control	r=0.8	16yrs	167
Annual US household spending on utilities	r=-0.9	16yrs	167
Intercountry adoptions	r=0.85	11yrs	166
Google searches for 'black holes'	r=0.85	15yrs	165
Kerosene used in Norway	r=0.87	16yrs	161
Cottage cheese consumption	r=0.83	16yrs	159
Kerosene used in Seychelles	r=0.87	16yrs	151
Robberies in the US	r=0.79	16yrs	143
Gasoline pumped in United Kingdom	r=0.87	16yrs	141
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.83	16yrs	138
Google searches for 'learn spanish'	r=0.83	15yrs	132
Kerosene used in Vietnam	r=0.87	16yrs	131
Violent crime rates	r=0.77	16yrs	130
Gasoline pumped in Austria	r=0.86	16yrs	120
Hispanic cheese consumption	r=-0.94	16yrs	118
Annual US household spending on electricity	r=-0.9	16yrs	117
Petroluem consumption in France	r=0.86	16yrs	110
Milk consumption	r=0.79	16yrs	104
Average milk produced per cow in the US	r=-0.88	16yrs	88
Sherbet consumption	r=0.75	16yrs	77
US production of sour cream	r=-0.9	16yrs	67
US milk fat used to produce fluid beverage milk	r=0.8	16yrs	57
US milk fat used to produce sour cream	r=-0.9	16yrs	47

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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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