Top variables that correlate with The number of tree trimmers and pruners in Arkansas

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Data source: Bureau of Larbor Statistics
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The number of tree trimmers and pruners in Arkansas correlates with...

Variable	Correlation	Years	Sys. Score
Google searches for 'xkcd'	r=0.89	15yrs	336
Popularity of the first name Chynna	r=0.88	19yrs	336
Bachelor's degrees awarded in Social sciences and history	r=0.92	10yrs	317
Bachelor's degrees awarded in Philosophy	r=0.91	10yrs	316
Pirate attacks globally	r=0.88	13yrs	306
United States' Fruit Juice Export Volume	r=0.9	13yrs	304
Associates degrees awarded in Management information systems	r=0.9	11yrs	284
Cenovus Energy's stock price (CVE)	r=0.88	12yrs	280
How trendy Extra History YouTube video titles are	r=0.86	10yrs	266
Biomass power generated in Sierra Leone	r=0.88	8yrs	262
Bachelor's degrees awarded in Education	r=0.89	10yrs	252
Bachelor's degrees awarded in literature	r=0.88	10yrs	241
Associates degrees awarded in Accounting	r=0.87	11yrs	229
Popularity of the first name Kourtney	r=0.84	19yrs	224
Associates degrees awarded in Business and management	r=0.86	11yrs	218
Associates degrees awarded in Legal professions and studies	r=0.86	11yrs	208
Associates degrees awarded in Visual and performing arts	r=0.86	11yrs	198
Popularity of the first name Jaleel	r=0.82	19yrs	192
Liquefied petroleum gas used in Serbia	r=0.82	16yrs	188
Jet fuel used in Angola	r=0.79	19yrs	187
How 'hip and with it' Mark Rober YouTube video titles are	r=-0.97	11yrs	175
Bachelor's degrees awarded in gender studies	r=0.87	10yrs	174
Bankruptcy filings in the US	r=0.77	19yrs	172
The number of movies Hugo Weaving appeared in	r=0.75	19yrs	170
Google searches for 'life insurance quotes'	r=0.79	18yrs	169
Google searches for 'Matt Parker'	r=0.81	15yrs	169
Woodside Energy Group's stock price (WDS)	r=0.83	13yrs	168
MTV VMA Viewer Count	r=0.77	19yrs	166
US household spending on dairy products	r=0.77	19yrs	166
Bachelor's degrees awarded in Visual and performing arts	r=0.87	10yrs	164
US household spending on cereals and bakery products	r=0.76	19yrs	164
US household spending on processed fruits	r=0.75	19yrs	162
Average views of Numberphile YouTube videos	r=0.84	11yrs	159
Unemployment in the US	r=0.72	19yrs	158
Unemployment Rate in the United States	r=0.72	19yrs	158
US household spending on tobacco products and smoking supplies	r=0.72	19yrs	158
US household spending on utilities	r=0.7	19yrs	155
Master's degrees awarded in Social sciences and history	r=0.87	10yrs	154
Public Library Website Visits in the UK	r=0.82	8yrs	148
Number of times a donut appears in a Garfield comic strip	r=0.75	11yrs	144
Popularity of the 'bazinga' meme	r=0.69	16yrs	143
Burglary rates in the US	r=0.66	19yrs	142
Bankruptcies in California	r=0.78	11yrs	141
Solar power generated in Guinea	r=-0.95	13yrs	140
Google searches for 'call of duty'	r=0.77	18yrs	136
Popularity of the first name Chyna	r=0.77	19yrs	134
Solar power generated in Madagascar	r=-0.94	12yrs	128
How 'hip and with it' Computerphile YouTube video titles are	r=0.84	9yrs	127
Google searches for 'xbox'	r=0.74	18yrs	122
Popularity of the first name Alison	r=0.76	19yrs	122
Biomass power generated in Pakistan	r=-0.93	13yrs	118
How good CGP Grey YouTube video titles are	r=0.82	11yrs	116
Popularity of the first name Mollie	r=0.76	19yrs	112
Fossil fuel use in Sudan	r=-0.84	19yrs	106
How trendy Deep Look YouTube video titles are	r=0.82	8yrs	103
Popularity of the first name Molly	r=0.75	19yrs	101
Nuclear power generation in Taiwan	r=0.75	19yrs	94
Popularity of the first name Aimee	r=0.75	19yrs	91
Google searches for 'facebook'	r=0.71	16yrs	90
How provocative Extra History YouTube video titles are	r=0.77	10yrs	88
Kerosene used in Uruguay	r=0.77	19yrs	84
Popularity of the first name China	r=0.75	19yrs	81
How 'hip and with it' Matt Parker's YouTube video titles are	r=0.77	11yrs	78
Jet fuel used in Bulgaria	r=-0.84	19yrs	72
Popularity of the first name Kendall	r=0.74	19yrs	70
How insightful CGP Grey YouTube video titles are	r=0.77	11yrs	68
Gasoline pumped in Iran	r=-0.83	19yrs	62
Popularity of the first name Mikaela	r=0.74	19yrs	60
How insightful Deep Look YouTube video titles are	r=0.78	8yrs	57
Petroluem consumption in Lithuania	r=-0.84	19yrs	52
Popularity of the first name Tiana	r=0.73	19yrs	48
How clickbait-y Technology Connections YouTube video titles are	r=0.78	7yrs	46
Liquefied petroleum gas used in New Zealand	r=-0.84	19yrs	42
Popularity of the first name Kendal	r=0.73	19yrs	38
Master's degrees awarded in literature	r=0.85	10yrs	36
Total views on CGP Grey YouTube videos	r=0.75	11yrs	36
Petroluem consumption in Tunisia	r=-0.83	19yrs	32
Master's degrees awarded in Transportation	r=0.85	10yrs	26
Popularity of the first name Whitney	r=0.72	19yrs	26
How geeky LEMMiNO YouTube video titles are	r=0.74	10yrs	23
Kerosene used in Botswana	r=0.75	19yrs	21
Popularity of the first name Janay	r=0.72	19yrs	16
Bachelor's degrees awarded in linguistics	r=0.84	10yrs	15
Kerosene used in Djibouti	r=0.75	19yrs	11
Total views on minutephysics YouTube videos	r=0.72	11yrs	11
Popularity of the first name Bryn	r=0.71	19yrs	5
Associates degrees awarded in Business operations	r=0.82	11yrs	2
Total likes of The Game Theorists YouTube videos	r=-0.91	13yrs	1
Fossil fuel use in Lithuania	r=0.71	19yrs	-2
Popularity of the first name Caylin	r=0.71	19yrs	-5
Associates degrees awarded in Visual and performing arts	r=0.82	11yrs	-8
How insightful Mark Rober YouTube video titles are	r=-0.92	11yrs	-10
Liquefied petroleum gas used in Burundi	r=0.71	19yrs	-15
Popularity of the first name Allyson	r=0.7	19yrs	-16
Associates degrees awarded in Business management	r=0.81	11yrs	-20
Liquefied petroleum gas used in Djibouti	r=0.71	19yrs	-25
Popularity of the first name Dante	r=0.7	19yrs	-26
Master's degrees awarded in Library science	r=0.8	10yrs	-31
Gasoline pumped in Yemen	r=0.71	19yrs	-35
Popularity of the first name Adrienne	r=0.7	19yrs	-36
Associates degrees awarded in Practical nursing	r=0.8	11yrs	-42

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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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