Top variables that correlate with The number of recreational therapists in Indiana

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Data source: Bureau of Larbor Statistics
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The number of recreational therapists in Indiana correlates with...

Variable	Correlation	Years	Sys. Score
Google searches for 'cia hotline'	r=0.87	19yrs	340
Popularity of the first name Infant	r=0.9	19yrs	338
Divorce rates in the United Kingdom	r=0.93	10yrs	337
Popularity of the first name Baby	r=0.88	20yrs	336
Kerosene used in Syria	r=0.87	19yrs	334
Popularity of the first name Raekwon	r=0.85	20yrs	332
Kerosene used in Cuba	r=0.86	19yrs	332
Liquefied petroleum gas used in Libya	r=0.85	19yrs	331
Popularity of the first name Cherokee	r=0.85	20yrs	302
Google searches for 'E.T. phone home'	r=0.84	19yrs	228
Kerosene used in Portugal	r=0.84	20yrs	196
US household spending on beef	r=0.8	20yrs	191
Automotive recalls for issues with Vehicle Speed Control	r=0.78	20yrs	188
Popularity of the first name Devante	r=0.84	20yrs	186
Jet fuel used in U.S. Pacific Islands	r=0.85	19yrs	186
Career regular season goals scored by Sidney Crosby	r=0.76	20yrs	185
Popularity of the first name Dora	r=0.84	20yrs	176
Kerosene used in Peru	r=0.83	19yrs	173
Motor vehicle thefts	r=0.75	20yrs	171
GMO use in corn grown in Indiana	r=-0.83	20yrs	170
Google searches for 'attacked by a squirrel'	r=0.77	19yrs	170
US production of evaporated and condensed milk	r=-0.87	19yrs	167
Disney movies released	r=0.72	20yrs	166
Hollister retail store count worldwide	r=-0.85	20yrs	166
Customer satisfaction with Nordstrom	r=-0.85	18yrs	166
Banco Bradesco's stock price (BBD)	r=-0.84	20yrs	165
Popularity of the first name Kerry	r=0.83	20yrs	164
Portion of all US dairy skim-solids allocated to the production of butter	r=-0.85	19yrs	162
Processed cheese consumption	r=0.7	19yrs	162
US household spending on books	r=0.74	20yrs	162
Motor vehicle thefts in Indiana	r=0.69	20yrs	162
Physical album shipment volume in the United States	r=0.73	20yrs	160
US household spending on pork	r=0.72	20yrs	159
Number of public school students in 9th grade	r=0.69	20yrs	158
Total annual sales of Ford Motors in the United States	r=0.72	19yrs	155
Popularity of the first name India	r=0.82	20yrs	152
The number of movies Gal Gadot appeared in	r=0.75	14yrs	150
The number of movies Ian Holm appeared in	r=0.75	12yrs	148
Carjackings in the US	r=0.68	19yrs	144
Popularity of the first name Catrina	r=0.82	20yrs	142
Remaining Forest Cover in the Brazilian Amazon	r=0.66	20yrs	141
Viewership count for Days of Our Lives	r=0.67	19yrs	140
Google searches for 'fbi hotline'	r=0.76	19yrs	138
Value of the Victoria's Secret Annual Fantasy Bra	r=0.7	17yrs	138
GMO use in corn	r=-0.81	20yrs	138
US birth rates of triplets or more	r=0.63	19yrs	137
GMO use in soybeans	r=-0.8	20yrs	137
Google searches for 'report UFO sighting'	r=0.63	19yrs	137
Height of Miss Universe Pageant winner	r=0.75	11yrs	136
Andy Roddick's ATP tournament wins	r=0.75	10yrs	136
Kerosene used in Egypt	r=0.83	19yrs	133
US household spending on floor coverings	r=0.72	20yrs	129
Google searches for 'matt parker'	r=0.76	19yrs	126
Kerosene used in Hong Kong	r=0.82	19yrs	122
Annual US household spending on books	r=0.71	20yrs	118
The number of movies Billy Boyd appeared in	r=0.68	20yrs	116
Kerosene used in Mauritius	r=0.82	19yrs	112
Google searches for 'how to immigrate to switzerland'	r=0.7	19yrs	111
Bulk and canned skim evaporated and condensed milk consumption	r=-0.83	19yrs	110
US household spending on meats, poultry, fish, and eggs	r=0.71	20yrs	108
GMO use in soybeans	r=-0.8	20yrs	107
Popularity of the first name Chandler	r=0.82	20yrs	102
Kerosene used in Nepal	r=0.82	19yrs	102
Google searches for 'black holes'	r=0.73	19yrs	101
US household spending on new cars	r=0.71	20yrs	98
The number of movies Lucas Black appeared in	r=0.63	20yrs	98
US average dairy skim-solid content of bulk evaporated and condensed milk	r=0.69	19yrs	96
GMO use in soybeans in Indiana	r=-0.77	20yrs	94
Popularity of the first name Katrina	r=0.82	20yrs	92
Jet fuel used in Somalia	r=0.82	19yrs	92
Google searches for 'panama canal'	r=0.71	19yrs	88
The number of movies Monica Bellucci appeared in	r=0.63	20yrs	88
Cottage cheese consumption	r=0.61	19yrs	84
GMO use in soybeans in Indiana	r=-0.77	20yrs	84
Popularity of the first name Lynsey	r=0.82	19yrs	82
Kerosene used in Taiwan	r=0.82	19yrs	82
Google searches for 'XL tee shirts'	r=0.71	19yrs	78
The number of movies Hugo Weaving appeared in	r=0.61	20yrs	75
US milk fat used to produce cottage cheese	r=0.66	19yrs	74
Popularity of the first name Raven	r=0.81	20yrs	71
Liquefied petroleum gas used in Luxembourg	r=0.8	20yrs	70
Google searches for 'Panama Canal'	r=0.71	19yrs	68
Popularity of the first name Ashton	r=0.81	20yrs	61
Jet fuel used in U.S. Virgin Islands	r=0.81	19yrs	60
Popularity of the first name Cierra	r=0.81	20yrs	51
Kerosene used in United States	r=0.8	20yrs	50
Popularity of the first name Damon	r=0.81	20yrs	41
Google searches for 'how to immigrate to norway'	r=0.66	19yrs	40
Kerosene used in Vietnam	r=0.8	19yrs	38
Popularity of the first name Thomas	r=0.8	20yrs	30
Google searches for 'is this a wart'	r=0.68	19yrs	28
Jet fuel used in Uzbekistan	r=0.79	19yrs	27
Popularity of the first name Peter	r=0.8	20yrs	20
Google searches for 'how to treat internal bleeding'	r=0.67	19yrs	17
Kerosene used in El Salvador	r=0.78	19yrs	16
Popularity of the first name Tara	r=0.8	20yrs	10
Kerosene used in Jordan	r=0.78	19yrs	6
Google searches for 'learn spanish'	r=0.66	19yrs	6
Popularity of the first name Anne	r=0.8	20yrs	0
Kerosene used in Seychelles	r=0.78	19yrs	-4
Google searches for 'snoop dog'	r=0.66	19yrs	-4

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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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