Top variables that correlate with The number of tax preparers in Kansas

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Data source: Bureau of Larbor Statistics
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The number of tax preparers in Kansas correlates with...

Variable	Correlation	Years	Sys. Score
Electricity generation in Libya	r=0.74	19yrs	162
Fossil fuel use in Libya	r=0.74	19yrs	162
Liquefied petroleum gas used in Egypt	r=0.76	19yrs	162
Annual comic book sales in North America	r=0.72	19yrs	158
Total Sales at Clothing and Accessories Stores	r=0.68	20yrs	156
Popularity of the first name Sadie	r=0.7	20yrs	154
Popularity of the first name Sylvia	r=0.69	20yrs	153
Popularity of the first name Daphne	r=0.68	20yrs	152
How clickbait-y PBS Space Time YouTube video titles are	r=0.81	8yrs	152
Sewage sludge used for fertilizer in the US	r=0.73	13yrs	148
Associates degrees awarded in Clinical/medical lab science	r=0.8	11yrs	148
How fun PBS Space Time YouTube video titles are	r=0.78	8yrs	147
Yogurt consumption	r=0.67	19yrs	143
The number of movies Tilda Swinton appeared in	r=0.65	20yrs	141
How nerdy Matt Parker's YouTube video titles are	r=0.71	12yrs	140
The number of movies Russell Crowe appeared in	r=0.64	20yrs	140
US hotel industry's revenue per available room	r=0.75	12yrs	138
Number of Public Library Members in the UK	r=0.72	12yrs	138
UK Service Retail Price Index	r=0.71	16yrs	137
Bulk and canned skim evaporated and condensed milk consumption	r=0.63	19yrs	137
Yearly Total Gross Income of US Farms	r=0.66	20yrs	136
GMO use in soybeans	r=0.63	20yrs	136
GMO use in soybeans	r=0.63	20yrs	136
GMO use in corn	r=0.62	20yrs	135
Yearly peak of NYSE composite index	r=0.73	10yrs	132
Total viewership of the Aviva Premiership Rugby final	r=0.71	12yrs	132
Annual US household spending on electricity	r=0.64	20yrs	132
The Williams Companies' stock price (WMB)	r=0.63	20yrs	130
Petroluem consumption in Egypt	r=0.74	19yrs	130
Archer-Daniels-Midland Company's stock price (ADM)	r=0.62	20yrs	129
The number of movies Javier Bardem appeared in	r=0.57	20yrs	129
US production of yogurt, nonfrozen	r=0.62	19yrs	128
Customer satisfaction with Kroger	r=0.62	18yrs	128
Annual US household spending on gasoline	r=0.61	20yrs	128
Rain in Paris	r=0.63	16yrs	128
Number of times 2 was a winning Mega Millions number	r=0.59	18yrs	126
Google searches for 'who is the doctor'	r=0.6	19yrs	126
Nucor's stock price (NUE)	r=0.6	20yrs	124
Annual US household spending on utilities	r=0.59	20yrs	124
Google searches for 'how to hide a body'	r=0.55	19yrs	122
Gasoline pumped in Trinidad and Tobago	r=0.7	19yrs	114
Popularity of the first name Cooper	r=0.68	20yrs	106
GMO use in corn grown in Kansas	r=0.6	20yrs	102
Average number of comments on Computerphile YouTube videos	r=0.67	10yrs	102
The number of movies Jeremy Irons appeared in	r=0.56	20yrs	98
Portion of all US dairy skim-solids allocated to the production of yogurt, nonfrozen	r=0.63	19yrs	96
Popularity of the first name Micah	r=0.67	20yrs	95
Annual US household spending on maintenance and repairs	r=0.59	20yrs	94
QUALCOMM's stock price (QCOM)	r=0.57	20yrs	91
Biomass power generated in New Zealand	r=0.68	19yrs	88
Passing attempts by Drew Brees per NFL season	r=0.68	18yrs	86
Portion of all US dairy skim-solids allocated to the production of sour cream	r=0.63	19yrs	86
GMO use in corn	r=0.56	20yrs	86
The number of movies Benedict Cumberbatch appeared in	r=0.55	20yrs	86
Popularity of the first name Noah	r=0.66	20yrs	84
Total likes of PBS Space Time YouTube videos	r=0.69	8yrs	83
Number of internet users	r=0.68	14yrs	80
Electricity generation in Aruba	r=0.67	19yrs	77
Popularity of the first name Damian	r=0.66	20yrs	74
US production of evaporated and condensed milk	r=0.59	19yrs	74
The number of movies Michael Cera appeared in	r=0.53	20yrs	73
Domino's Pizza Group's Earnings per Share	r=0.64	20yrs	72
GMO use in cotton	r=0.55	20yrs	72
Fossil fuel use in Saint Vincent/Grenadines	r=0.67	19yrs	67
Hollister retail store count worldwide	r=0.63	20yrs	65
Popularity of the first name Julius	r=0.66	20yrs	64
US milk fat used to produce whey products (net)	r=0.59	19yrs	64
The number of movies Idris Elba appeared in	r=0.52	20yrs	62
Score difference in the final match of the NCAA men's volleyball National championship	r=0.62	20yrs	59
Fossil fuel use in Brazil	r=0.66	19yrs	56
Gasoline Prices in the US	r=0.6	20yrs	54
Popularity of the first name Ruby	r=0.65	20yrs	52
Total number of live births in Australia	r=0.6	20yrs	46
Petroluem consumption in Argentina	r=0.67	19yrs	44
Popularity of the first name Liliana	r=0.65	20yrs	42
Time Person of the Year's Age at Recognition	r=0.67	11yrs	39
Electricity generation in El Salvador	r=0.64	19yrs	32
Number of active magazines in the United States	r=0.62	14yrs	32
Popularity of the first name Jefferson	r=0.64	20yrs	30
Popularity of the first name Bruno	r=0.64	20yrs	20
Fossil fuel use in Ecuador	r=0.62	19yrs	20
Petroluem consumption in Chile	r=0.64	20yrs	10
Popularity of the first name Parker	r=0.63	20yrs	9
Petroluem consumption in Estonia	r=0.64	20yrs	0
Popularity of the first name Phoebe	r=0.63	20yrs	-1
Popularity of the first name Hassan	r=0.63	20yrs	-11
Fossil fuel use in British Virgin Islands	r=0.61	19yrs	-12
Popularity of the first name Reed	r=0.62	20yrs	-22
Petroluem consumption in Congo-Brazzaville	r=0.63	19yrs	-22
Popularity of the first name Sofia	r=0.61	20yrs	-34
Electricity generation in British Virgin Islands	r=0.6	19yrs	-34
Popularity of the first name Eden	r=0.61	20yrs	-44
Electricity generation in Trinidad and Tobago	r=0.6	19yrs	-44
Popularity of the first name Presley	r=0.61	20yrs	-54
Gasoline pumped in Russia	r=0.62	19yrs	-54
Renewable energy production in Central African Republic	r=0.59	19yrs	-65
Popularity of the first name Madelyn	r=0.59	20yrs	-67

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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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