Top variables that correlate with The number of vending machine repairers in Kansas

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Data source: Bureau of Larbor Statistics
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The number of vending machine repairers in Kansas correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Moesha	r=0.97	12yrs	402
Popularity of the first name Serena	r=0.91	20yrs	371
Kerosene used in Portugal	r=0.91	20yrs	371
Popularity of the first name Ashanti	r=0.9	20yrs	370
Kerosene used in Brazil	r=0.9	19yrs	368
Kerosene used in Peru	r=0.9	19yrs	368
Disney movies released	r=0.88	20yrs	346
Popularity of the first name Jair	r=0.9	20yrs	340
US household spending on new cars	r=0.86	20yrs	335
Popularity of the first name Brittanie	r=0.91	17yrs	328
Kerosene used in Nepal	r=0.89	19yrs	307
Kerosene used in Egypt	r=0.85	19yrs	291
Popularity of the first name Jalen	r=0.89	20yrs	288
Liquefied petroleum gas used in Saint Lucia	r=0.85	19yrs	281
Divorce rates in the United Kingdom	r=0.89	10yrs	281
Popularity of the first name Pauline	r=0.89	20yrs	278
Kerosene used in Taiwan	r=0.85	19yrs	271
Popularity of the first name India	r=0.88	20yrs	266
How trendy PBS Space Time YouTube video titles are	r=0.86	8yrs	264
Andy Roddick's ATP tournament wins	r=0.86	10yrs	257
Popularity of the first name Baby	r=0.88	20yrs	256
Popularity of the first name Dawn	r=0.88	20yrs	246
Popularity of the first name Raven	r=0.87	20yrs	235
Google searches for 'how to immigrate to norway'	r=0.83	19yrs	230
Popularity of the first name Kelli	r=0.87	20yrs	225
Popularity of the first name Lizbeth	r=0.87	20yrs	215
Popularity of the first name Cierra	r=0.86	20yrs	204
Motor vehicle thefts	r=0.81	20yrs	200
Carjackings in the US	r=0.8	19yrs	198
The number of movies John Rhys-Davies appeared in	r=0.79	20yrs	197
Popularity of the first name Anne	r=0.86	20yrs	194
US Hospital Occupancy Rate	r=0.84	17yrs	194
Google searches for 'cia hotline'	r=0.79	19yrs	193
US household spending on beef	r=0.81	20yrs	192
US household spending on transportation	r=0.79	20yrs	190
Popularity of the first name Cassie	r=0.86	20yrs	184
GMO use in soybeans	r=-0.89	20yrs	176
GMO use in soybeans	r=-0.89	20yrs	176
Popularity of the first name Jarrett	r=0.86	20yrs	174
GMO use in corn grown in Kansas	r=-0.87	20yrs	174
Hollister retail store count worldwide	r=-0.91	20yrs	172
Customer satisfaction with Kroger	r=-0.87	18yrs	168
Car crashes in the US	r=0.84	12yrs	166
Google searches for 'Panama Canal'	r=0.76	19yrs	166
Popularity of the first name Cade	r=0.86	20yrs	164
Value of the Victoria's Secret Annual Fantasy Bra	r=0.77	17yrs	164
Total number of live births in Australia	r=-0.83	20yrs	164
Physical album shipment volume in the United States	r=0.75	20yrs	164
Portion of all US dairy skim-solids allocated to the production of sour cream	r=-0.86	19yrs	163
West Nile Virus Cases	r=0.73	20yrs	162
Remaining Forest Cover in the Brazilian Amazon	r=0.7	20yrs	162
Ice cream consumption	r=0.7	19yrs	162
Viewership count for Days of Our Lives	r=0.71	19yrs	161
US milk fat used to produce fluid beverage milk	r=0.74	19yrs	161
US household spending on vehicle purchaes	r=0.78	20yrs	158
Automotive recalls for issues with Service Brakes, Air	r=0.71	20yrs	158
Jet fuel used in U.S. Pacific Islands	r=0.85	19yrs	156
Number of public school students in 9th grade	r=0.68	20yrs	156
Popularity of the first name Arnold	r=0.86	20yrs	154
How 'hip and with it' OverSimplified YouTube video titles are	r=0.83	7yrs	154
How trendy OverSimplified YouTube video titles are	r=0.83	7yrs	154
US household spending on floor coverings	r=0.77	20yrs	146
Popularity of the first name Jarod	r=0.86	20yrs	144
Gasoline pumped in France	r=0.83	20yrs	144
GMO use in corn	r=-0.85	20yrs	142
Height of Miss Universe Pageant winner	r=0.79	11yrs	142
Violent crime rates	r=0.65	20yrs	141
The number of movies Harvey Keitel appeared in	r=0.64	20yrs	140
Gasoline pumped in Germany	r=0.83	20yrs	134
Google searches for 'snoop dog'	r=0.75	19yrs	134
US milk fat used to produce cottage cheese	r=0.72	19yrs	128
Kerosene used in Philippines	r=0.84	19yrs	124
Google searches for 'black holes'	r=0.75	19yrs	124
Average number of comments on PBS Space Time YouTube videos	r=0.81	8yrs	122
US average milk-fat content of frozen dairy products	r=0.72	19yrs	115
Kerosene used in Seychelles	r=0.84	19yrs	114
US household spending on pork	r=0.75	20yrs	114
Google searches for 'E.T. phone home'	r=0.73	19yrs	111
Total annual sales of Ford Motors in the United States	r=0.72	19yrs	105
Kerosene used in Thailand	r=0.84	19yrs	104
How fun OverSimplified YouTube video titles are	r=0.77	7yrs	104
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.7	19yrs	102
Google searches for 'learn spanish'	r=0.73	19yrs	101
US household spending on meats, poultry, fish, and eggs	r=0.73	20yrs	100
Google searches for 'how to treat internal bleeding'	r=0.72	19yrs	90
US household spending on books	r=0.73	20yrs	90
Processed cheese consumption	r=0.68	19yrs	84
US birth rates of triplets or more	r=0.64	19yrs	83
Google searches for 'panama canal'	r=0.71	19yrs	78
Number of Automotive Franchise Establishments in the US	r=0.78	8yrs	78
Annual US household spending on floor coverings	r=0.69	20yrs	74
Canned whole evaporated and condensed milk consumption	r=0.65	19yrs	70
Kerosene used in Hong Kong	r=0.83	19yrs	63
Yogurt consumption	r=-0.81	19yrs	58
Liquefied petroleum gas used in Libya	r=0.83	19yrs	53
Google searches for 'attacked by a squirrel'	r=0.68	19yrs	52
Gasoline pumped in Romania	r=0.83	19yrs	43
Kerosene used in Syria	r=0.83	19yrs	33
Jet fuel used in U.S. Virgin Islands	r=0.83	19yrs	23
Kerosene used in Vietnam	r=0.83	19yrs	13
Geothermal power generated in Japan	r=0.8	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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