Top variables that correlate with The number of telephone operators in Ohio

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Data source: Bureau of Larbor Statistics
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The number of telephone operators in Ohio correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Baby	r=0.95	19yrs	406
Kerosene used in Peru	r=0.95	19yrs	406
Kerosene used in Portugal	r=0.95	19yrs	406
Google searches for 'cia hotline'	r=0.91	18yrs	375
Kerosene used in Brazil	r=0.93	19yrs	373
Google searches for 'E.T. phone home'	r=0.9	18yrs	370
Popularity of the first name Infant	r=0.91	19yrs	370
Kerosene used in Egypt	r=0.93	19yrs	343
Air pollution in Columbus	r=0.86	19yrs	340
Google searches for 'matt parker'	r=0.88	18yrs	338
US household spending on beef	r=0.89	19yrs	338
Popularity of the first name Cierra	r=0.89	19yrs	337
Woodside Energy Group's stock price (WDS)	r=0.9	13yrs	334
Liquefied petroleum gas used in Libya	r=0.91	19yrs	330
Jet fuel used in U.S. Pacific Islands	r=0.9	19yrs	318
Bachelor's degrees awarded in Liberal arts	r=0.91	10yrs	316
Popularity of the first name Kelli	r=0.89	19yrs	307
Popularity of the first name Ashanti	r=0.89	19yrs	297
Popularity of the first name Alec	r=0.88	19yrs	286
Divorce rates in the United Kingdom	r=0.88	10yrs	280
Associates degrees awarded in Management information systems	r=0.87	11yrs	279
Associates degrees awarded in Engineering technologies	r=0.87	11yrs	279
Kerosene used in Hong Kong	r=0.89	19yrs	277
Popularity of the first name Ashleigh	r=0.88	19yrs	276
How fun Deep Look YouTube video titles are	r=0.88	8yrs	267
Popularity of the first name Anissa	r=0.88	19yrs	266
Kerosene used in South Korea	r=0.87	19yrs	264
Popularity of the first name Jarod	r=0.88	19yrs	256
Kerosene used in Syria	r=0.87	19yrs	254
Popularity of the first name Clayton	r=0.87	19yrs	244
Kerosene used in Sierra Leone	r=0.86	19yrs	242
Popularity of the first name Ashton	r=0.87	19yrs	234
The number of movies Hugo Weaving appeared in	r=0.84	19yrs	234
Liquefied petroleum gas used in Luxembourg	r=0.85	19yrs	231
US household spending on meats, poultry, fish, and eggs	r=0.85	19yrs	228
Popularity of the first name Kerri	r=0.87	19yrs	224
US household spending on pork	r=0.83	19yrs	224
US household spending on books	r=0.83	19yrs	224
Kerosene used in Nepal	r=0.85	19yrs	221
Popularity of the first name Jarrett	r=0.86	19yrs	212
Popularity of the first name Sydni	r=0.86	19yrs	202
Viewership count for Days of Our Lives	r=0.8	19yrs	194
Remaining Forest Cover in the Brazilian Amazon	r=0.79	19yrs	194
Popularity of the first name Cherokee	r=0.86	19yrs	192
Automotive recalls for issues with Vehicle Speed Control	r=0.8	19yrs	190
Air pollution in Portsmouth, Ohio	r=0.78	19yrs	190
Air pollution in Portsmouth, Ohio	r=0.77	19yrs	188
Popularity of the first name Sierra	r=0.85	19yrs	181
GMO use in soybeans	r=-0.89	19yrs	175
GMO use in soybeans	r=-0.89	19yrs	175
Number of public school students in 11th grade	r=-0.9	19yrs	173
Popularity of the first name Colby	r=0.85	19yrs	171
GMO use in corn	r=-0.85	19yrs	171
Disney movies released	r=0.74	19yrs	168
Google searches for 'report UFO sighting'	r=0.74	18yrs	168
US birth rates of triplets or more	r=0.73	19yrs	167
Number of public school students in 12th grade	r=-0.84	19yrs	167
Annual US household spending on electricity	r=-0.87	19yrs	167
Physical album shipment volume in the United States	r=0.77	19yrs	166
Nucor's stock price (NUE)	r=-0.87	19yrs	166
Annual US household spending on utilities	r=-0.86	19yrs	166
United States' Fruit Juice Export Volume	r=0.8	13yrs	164
US production of evaporated and condensed milk	r=-0.84	19yrs	164
NASA's budget as a percentage of the total US Federal Budget	r=0.72	19yrs	164
Motor vehicle thefts in Ohio	r=0.71	19yrs	164
Hollister retail store count worldwide	r=-0.83	19yrs	163
Bankruptcy filings in the US	r=0.71	19yrs	162
The number of movies John Rhys-Davies appeared in	r=0.7	19yrs	162
Popularity of the first name Jaclyn	r=0.85	19yrs	161
US average milk-fat content of frozen dairy products	r=0.76	19yrs	161
Motor vehicle thefts	r=0.69	19yrs	161
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.75	19yrs	160
US household spending on new cars	r=0.73	19yrs	160
The marriage rate in Ohio	r=0.72	19yrs	158
US household spending on prescription drugs	r=0.72	19yrs	158
Value of the Victoria's Secret Annual Fantasy Bra	r=0.73	17yrs	158
Total annual sales of Ford Motors in the United States	r=0.73	19yrs	156
US household spending on processed fruits	r=0.71	19yrs	156
US household spending on floor coverings	r=0.7	19yrs	155
Popularity of the first name Devante	r=0.85	19yrs	151
Air quality in Columbus	r=-0.86	19yrs	142
Popularity of the first name Jarrod	r=0.85	19yrs	141
GMO use in soybeans in Ohio	r=-0.83	19yrs	139
Google searches for 'how to immigrate to switzerland'	r=0.73	18yrs	134
GMO use in soybeans in Ohio	r=-0.83	19yrs	129
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.71	19yrs	124
Google searches for 'is this a wart'	r=0.75	18yrs	123
Google searches for 'shrek'	r=0.75	18yrs	113
Hydopower energy generated in Tunisia	r=0.83	19yrs	106
US household spending on transportation	r=0.7	19yrs	105
Google searches for 'xkcd'	r=0.76	15yrs	102
Kerosene used in Cuba	r=0.84	19yrs	94
Google searches for 'how to get to antartica'	r=0.74	18yrs	92
Kerosene used in Mauritius	r=0.84	19yrs	84
Google searches for 'black holes'	r=0.73	18yrs	80
Google searches for 'panama canal'	r=0.72	18yrs	68
Gasoline pumped in Luxembourg	r=0.83	19yrs	43
Kerosene used in Philippines	r=0.83	19yrs	33
Kerosene used in Vietnam	r=0.83	19yrs	23
Kerosene used in Thailand	r=0.82	19yrs	12
Jet fuel used in U.S. Virgin Islands	r=0.82	19yrs	2

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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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