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

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

Variable	Correlation	Years	Sys. Score
Intercountry adoptions	r=0.91	11yrs	310
Popularity of the first name Courteney	r=0.91	6yrs	292
Popularity of the first name Gene	r=0.77	20yrs	185
Popularity of the first name Denisse	r=0.76	20yrs	184
The price of gold	r=-0.94	12yrs	172
Disney movies released	r=0.73	20yrs	168
Geothermal power generated in Japan	r=0.76	19yrs	166
US household spending on small appliances	r=0.75	20yrs	164
Jet fuel used in Brazil	r=-0.85	19yrs	164
Jet fuel used in Latvia	r=-0.84	20yrs	164
US Hospital Occupancy Rate	r=0.75	17yrs	160
US milk fat used to produce frozen dairy products	r=0.71	19yrs	156
How clickbait-y LEMMiNO YouTube video titles are	r=0.78	11yrs	150
Divorce rates in the United Kingdom	r=0.8	10yrs	148
Median Weekly Earnings of Self-Employed Workers in the UK	r=0.81	11yrs	146
Total comments on Matt Parker's YouTube videos	r=0.75	12yrs	146
Annual book sales in the US	r=0.8	10yrs	144
UK Public Library Count	r=0.79	12yrs	144
Violent crime rates	r=0.67	20yrs	144
Total likes of CGP Grey YouTube videos	r=0.73	12yrs	144
Canned whole evaporated and condensed milk consumption	r=0.67	19yrs	143
Per capita consumption of margarine	r=0.81	7yrs	142
China's Rare Earth Element Export Volume	r=0.77	11yrs	140
US Motorcycle Manufacturing Industry Revenue	r=0.78	10yrs	140
Motor vehicle thefts	r=0.64	20yrs	140
Global iPod Sales	r=0.75	9yrs	139
Popularity of the first name Moesha	r=0.84	12yrs	138
Car crashes in the US	r=0.75	12yrs	138
Robberies in Minnesota	r=0.63	20yrs	138
Patents granted to Texas Instruments	r=0.73	12yrs	138
US milk fat used to produce fluid beverage milk	r=0.67	19yrs	136
Carjackings in the US	r=0.62	19yrs	136
The number of movies John Rhys-Davies appeared in	r=0.62	20yrs	136
US household spending on floor coverings	r=0.66	20yrs	135
US household spending on vehicle purchaes	r=0.66	20yrs	135
US household spending on beef	r=0.65	20yrs	134
US household spending on new cars	r=0.65	20yrs	134
The number of movies Ian Holm appeared in	r=0.65	12yrs	133
Automotive recalls for issues with the Fuel System, Gasoline	r=0.64	20yrs	132
Annual US household spending on floor coverings	r=0.64	20yrs	132
US household spending on household furnishings and equipment	r=0.64	20yrs	132
Kerosene used in Sudan	r=0.75	19yrs	131
Google searches for 'helicopter accident'	r=0.62	19yrs	130
Annual US household spending on books	r=0.63	20yrs	130
Air pollution in Rochester, Minnesota	r=0.6	20yrs	129
Master's degrees awarded in Public administration	r=0.66	10yrs	128
AIG's stock price (AIG)	r=0.61	20yrs	128
Popularity of the first name Katlin	r=0.83	13yrs	127
Height of Miss Universe Pageant winner	r=0.68	11yrs	126
Petroluem consumption in Uzbekistan	r=0.7	19yrs	114
Popularity of the first name Chandra	r=0.77	17yrs	112
Total length of MinuteEarth YouTube videos	r=0.7	10yrs	107
Processed cheese consumption	r=0.6	19yrs	102
Popularity of the first name Myesha	r=0.77	16yrs	101
The number of movies Sean Penn appeared in	r=0.58	20yrs	100
Total likes of Matt Parker's YouTube videos	r=0.68	12yrs	96
Arson in Minnesota	r=0.6	20yrs	94
Popularity of the first name Brittanie	r=0.74	17yrs	88
Number of Las Vegas Hotel Room Check-Ins	r=-0.92	11yrs	87
Kerosene used in Cameroon	r=0.68	19yrs	86
Total comments on Tom Scott's YouTube videos	r=0.66	14yrs	85
Number of Public Library Members in the UK	r=-0.91	12yrs	81
Popularity of the first name Kelsea	r=0.71	20yrs	76
Geothermal power generated in Austria	r=0.67	16yrs	74
Average length of AsapSCIENCE YouTube videos	r=0.67	11yrs	74
London Gold Prices	r=-0.94	10yrs	72
Global Per Capita Rice Consumption	r=0.65	17yrs	65
Popularity of the first name Norman	r=0.7	20yrs	64
Total views on Matt Parker's YouTube videos	r=0.66	12yrs	63
Biomass power generated in Ukraine	r=0.67	13yrs	61
Annual count of part-time employees in the United States	r=-0.77	20yrs	58
Andy Roddick's ATP tournament wins	r=0.7	10yrs	53
Popularity of the first name Kala	r=0.68	20yrs	52
Average number of comments on Tom Scott's YouTube videos	r=0.64	14yrs	52
Kerosene used in Jordan	r=0.65	19yrs	51
Popularity of the first name Giovanna	r=0.68	20yrs	42
The average number of likes on minutephysics YouTube videos	r=0.65	12yrs	42
Kerosene used in Taiwan	r=0.65	19yrs	41
Average length of MinuteEarth YouTube videos	r=0.67	10yrs	32
Kerosene used in Burkina Faso	r=0.64	19yrs	30
Popularity of the first name Brittni	r=0.79	10yrs	23
Total length of Matt Parker's YouTube videos	r=0.65	12yrs	22
Kerosene used in Greece	r=0.63	20yrs	19
Popularity of the first name Tyesha	r=0.72	17yrs	10
How trendy minutephysics YouTube video titles are	r=0.64	12yrs	10
Wind power generated in Mauritania	r=0.67	10yrs	8
Popularity of the first name Jamesha	r=0.73	15yrs	-1
Average number of comments on LEMMiNO YouTube videos	r=0.63	11yrs	-2
Solar power generated in Ukraine	r=0.66	12yrs	-2
Petroluem consumption in Australia	r=-0.79	20yrs	-12
Total length of Mark Rober YouTube videos	r=0.62	12yrs	-13
Popularity of the first name Rhiannon	r=0.68	20yrs	-14
Petroluem consumption in British Virgin Islands	r=-0.8	19yrs	-22
Popularity of the first name Barry	r=0.67	20yrs	-25
Kerosene used in Dominica	r=0.63	19yrs	-32
Popularity of the first name Irma	r=0.67	20yrs	-35
Petroluem consumption in Ecuador	r=-0.79	19yrs	-42
Popularity of the first name Idalis	r=0.67	20yrs	-45
Renewable energy production in Barbados	r=0.65	12yrs	-53
Popularity of the first name Lazaro	r=0.67	20yrs	-55
Solar power generated in Barbados	r=0.65	12yrs	-63

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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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