Top variables that correlate with The number of ticket agents in New Hampshire

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Data source: Bureau of Larbor Statistics
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The number of ticket agents in New Hampshire correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Shaniqua	r=0.97	8yrs	368
Popularity of the first name Kelsea	r=0.9	20yrs	340
Popularity of the first name Anissa	r=0.89	20yrs	338
US milk fat used to produce cottage cheese	r=0.87	19yrs	336
Kerosene used in Egypt	r=0.88	19yrs	336
Kerosene used in South Korea	r=0.88	20yrs	336
Gasoline pumped in Germany	r=0.87	20yrs	335
US milk fat used to produce fluid beverage milk	r=0.86	19yrs	334
Total length of Casually Explained YouTube videos	r=0.94	8yrs	321
How 'hip and with it' SciShow Space YouTube video titles are	r=0.93	9yrs	320
Divorce rates in the United Kingdom	r=0.91	10yrs	314
Popularity of the first name Meghan	r=0.88	20yrs	306
Jet fuel used in Uzbekistan	r=0.87	19yrs	304
How good 3Blue1Brown YouTube video titles are	r=0.91	8yrs	302
Popularity of the first name Chantel	r=0.87	20yrs	295
Popularity of the first name Kelley	r=0.87	20yrs	285
Popularity of the first name Cherokee	r=0.87	20yrs	275
Popularity of the first name Ashton	r=0.86	20yrs	264
Popularity of the first name Clarissa	r=0.86	20yrs	254
Popularity of the first name Kelli	r=0.86	20yrs	244
How cool SciShow Space YouTube video titles are	r=0.87	9yrs	236
Popularity of the first name Ralph	r=0.86	20yrs	234
Motor vehicle thefts in New Hampshire	r=0.83	20yrs	233
How good SciShow Space YouTube video titles are	r=0.87	9yrs	226
Popularity of the first name Sydni	r=0.86	20yrs	224
US household spending on floor coverings	r=0.82	20yrs	224
Average number of comments on Deep Look YouTube videos	r=0.86	9yrs	215
Popularity of the first name Nautica	r=0.86	20yrs	214
Popularity of the first name Renee	r=0.85	20yrs	202
Google searches for 'report UFO sighting'	r=0.79	19yrs	196
Remaining Forest Cover in the Brazilian Amazon	r=0.78	20yrs	194
Cottage cheese consumption	r=0.78	19yrs	194
Violent crime rates	r=0.77	20yrs	194
Popularity of the first name Tre	r=0.85	20yrs	192
NASA's budget as a percentage of the total US Federal Budget	r=0.77	20yrs	192
Google searches for 'black holes'	r=0.8	19yrs	192
Motor vehicle thefts	r=0.76	20yrs	192
Physical album shipment volume in the United States	r=0.8	20yrs	191
Google searches for 'learn spanish'	r=0.79	19yrs	190
US household spending on beef	r=0.78	20yrs	188
Kerosene used in Hong Kong	r=0.85	19yrs	186
US household spending on books	r=0.77	20yrs	186
Career regular season goals scored by Sidney Crosby	r=0.76	20yrs	185
Automotive recalls for issues with Vehicle Speed Control	r=0.76	20yrs	185
Gasoline pumped in Austria	r=0.83	20yrs	174
GMO use in corn	r=-0.85	20yrs	172
GMO use in soybeans	r=-0.84	20yrs	171
GMO use in soybeans	r=-0.84	20yrs	171
Google searches for 'how to hide a body'	r=-0.85	19yrs	170
Yearly Total Gross Income of US Farms	r=-0.86	20yrs	168
US birth rates of triplets or more	r=0.73	19yrs	167
US Hospital Occupancy Rate	r=0.79	17yrs	166
UK Public Library Count	r=0.84	12yrs	166
Annual US household spending on electricity	r=-0.84	20yrs	165
Gasoline pumped in Luxembourg	r=0.83	20yrs	164
Hollister retail store count worldwide	r=-0.83	20yrs	164
Enbridge's stock price (ENB)	r=-0.83	20yrs	164
Customer satisfaction with Walmart	r=0.75	18yrs	163
Disney movies released	r=0.69	20yrs	162
The distance between Neptune and the Sun	r=0.73	20yrs	162
The distance between Neptune and Earth	r=0.73	20yrs	162
The distance between Neptune and the moon	r=0.73	20yrs	162
Viewership count for Days of Our Lives	r=0.71	19yrs	161
U.S. intercountry adoptions	r=0.74	19yrs	161
US production of cottage cheese	r=0.8	19yrs	160
Kerosene used in Nepal	r=0.84	19yrs	154
US dairy skim solids used to produce cottage cheese	r=0.8	19yrs	148
Gasoline pumped in Portugal	r=0.83	20yrs	144
Arson in United States	r=0.74	20yrs	140
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.8	19yrs	137
Google searches for 'shook'	r=0.77	19yrs	137
GMO use in cotton	r=0.74	20yrs	135
Petroluem consumption in Uzbekistan	r=0.84	19yrs	134
The distance between Neptune and Mercury	r=0.72	20yrs	130
Google searches for 'E.T. phone home'	r=0.77	19yrs	127
US average milk-fat content of frozen dairy products	r=0.79	19yrs	126
Kerosene used in Vietnam	r=0.83	19yrs	123
Google searches for 'cia hotline'	r=0.72	19yrs	112
Yogurt consumption	r=-0.9	19yrs	108
Google searches for 'matt parker'	r=0.74	19yrs	102
Ice cream consumption	r=0.74	19yrs	88
Kerosene used in Taiwan	r=0.83	19yrs	83
US production of yogurt, nonfrozen	r=-0.88	19yrs	78
Popularity of the first name Sierra	r=0.85	20yrs	77
Fossil fuel use in Austria	r=0.8	19yrs	72
Popularity of the first name Jalen	r=0.85	20yrs	67
Portion of all US dairy skim-solids allocated to the production of yogurt, nonfrozen	r=-0.86	19yrs	63
Kerosene used in Burkina Faso	r=0.82	19yrs	62
Popularity of the first name Jaclyn	r=0.85	20yrs	57
Jet fuel used in U.S. Virgin Islands	r=0.82	19yrs	52
US average milk-fat content of yogurt, nonfrozen	r=-0.85	19yrs	52
Popularity of the first name Micaela	r=0.85	20yrs	47
US average milk-fat content of cottage cheese	r=0.77	19yrs	42
Kerosene used in Norway	r=0.81	20yrs	41
Popularity of the first name Kaci	r=0.85	20yrs	37
Gasoline pumped in Spain	r=0.81	20yrs	31
Swiss cheese consumption	r=0.69	19yrs	31
Kerosene used in United States	r=0.81	20yrs	21
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.75	19yrs	20
Jet fuel used in Barbados	r=0.81	19yrs	10
Gasoline pumped in Denmark	r=0.8	20yrs	0

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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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