Top variables that correlate with The number of paving, surfacing, and tamping equipment operators in Nebraska

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Data source: Bureau of Larbor Statistics
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The number of paving, surfacing, and tamping equipment operators in Nebraska correlates with...

Variable	Correlation	Years	Sys. Score
How good SciShow Space YouTube video titles are	r=0.92	9yrs	319
Master's degrees awarded in Legal professions and studies	r=0.91	10yrs	316
Assistant Processor salaries in the US	r=0.9	13yrs	312
Number of Automotive Franchise Establishments in the US	r=0.93	8yrs	310
How good 3Blue1Brown YouTube video titles are	r=0.91	8yrs	302
Total comments on Casually Explained YouTube videos	r=0.88	8yrs	267
How 'hip and with it' SciShow Space YouTube video titles are	r=0.87	9yrs	236
Average views of Casually Explained YouTube videos	r=0.87	8yrs	226
Total length of Casually Explained YouTube videos	r=0.86	8yrs	214
Age of US Open Tennis Champions (Men's Singles)	r=0.82	19yrs	192
Petroluem consumption in Bahrain	r=0.81	19yrs	190
Grocery store spend in Nebraska	r=0.79	18yrs	186
Professor salaries in the US	r=0.85	13yrs	179
Food spending in Nebraska	r=0.78	18yrs	164
Kerosene used in Falkland Islands	r=0.77	19yrs	164
Restaurant spending in Nebraska	r=0.75	18yrs	163
Petroluem consumption in Kiribati	r=0.76	19yrs	162
Carnival Corporation's stock price (CCL)	r=0.73	20yrs	160
Popularity of the first name Jamison	r=0.72	20yrs	158
Popularity of the first name Lukas	r=0.71	20yrs	156
University Lecturer salaries in the US	r=0.79	13yrs	155
Bachelor's degrees awarded in Physical sciences	r=0.81	10yrs	150
Yearly peak of NYSE composite index	r=0.8	10yrs	143
Mozzarella cheese consumption	r=0.66	19yrs	142
Total Revenue of the NFL Teams	r=0.71	18yrs	140
Milk-fat consumption	r=0.65	19yrs	140
Italian-type cheese consumption	r=0.65	19yrs	140
Patents granted in the US	r=0.64	18yrs	138
Associates degrees awarded in Precision production	r=0.73	11yrs	138
Number of Registered Vehicles in the US	r=0.67	19yrs	136
Valero Energy's stock price (VLO)	r=0.66	20yrs	135
The number of movies Meryl Streep appeared in	r=0.61	20yrs	135
US Sales of Artificial Christmas Trees	r=0.68	15yrs	133
US kids in public school	r=0.62	20yrs	132
Popularity of the first name Malachi	r=0.65	20yrs	132
Annual US household spending on education	r=0.65	18yrs	132
Gender pay gap in the U.S.	r=0.62	19yrs	131
Hot days in Paris	r=0.69	10yrs	131
Patents granted in the US	r=0.61	18yrs	130
RTX Corp's stock price (RTX)	r=0.63	20yrs	130
Customer satisfaction with T-Mobile	r=0.63	17yrs	129
Geothermal power generated in Italy	r=0.71	19yrs	128
US Annual Tax Revenue	r=0.62	19yrs	128
Number of public school students in 11th grade	r=0.59	20yrs	128
US hotel industry's revenue per available room	r=0.67	12yrs	126
Worldwide revenue from Harley Davidson motorcycles	r=0.68	11yrs	126
Automotive recalls issued by Keystone RV Company	r=0.57	20yrs	126
Average temperature in Sydney	r=0.59	20yrs	126
The number of movies Joan Crawford appeared in	r=0.58	15yrs	126
Associate Professor salaries in the US	r=0.76	13yrs	120
Petroluem consumption in Costa Rica	r=0.73	19yrs	118
Jet fuel used in Taiwan	r=0.73	19yrs	108
Bachelor's degrees awarded in journalism	r=0.73	10yrs	108
Cheddar cheese consumption	r=0.63	19yrs	107
Popularity of the first name Rayna	r=0.63	20yrs	99
Royal Caribbean Cruises' stock price (RCL)	r=0.61	20yrs	98
Master's degrees awarded in Engineering	r=0.72	10yrs	97
How cool Casually Explained YouTube video titles are	r=0.84	8yrs	96
Gasoline pumped in Belarus	r=0.71	19yrs	95
Hispanic cheese consumption	r=0.61	19yrs	94
Popularity of the first name Joy	r=0.62	20yrs	88
Associates degrees awarded in Theology	r=0.72	11yrs	86
Nuclear power generation in Iran	r=0.84	11yrs	84
How 'hip and with it' Casually Explained YouTube video titles are	r=0.83	8yrs	84
American-type cheese consumption	r=0.58	19yrs	80
Popularity of the first name Julian	r=0.61	20yrs	76
Jet fuel used in Bulgaria	r=0.7	19yrs	74
Associates degrees awarded in Physical sciences	r=0.7	11yrs	74
Total likes of Casually Explained YouTube videos	r=0.81	8yrs	72
Muenster cheese consumption	r=0.58	19yrs	70
Popularity of the first name Owen	r=0.61	20yrs	66
Liquefied petroleum gas used in Dominican Republic	r=0.7	19yrs	64
How fun Casually Explained YouTube video titles are	r=0.8	8yrs	60
Natural cheese consumption	r=0.63	19yrs	60
Associates degrees awarded in Physical sciences	r=0.68	11yrs	60
Liquefied petroleum gas used in Palestinian Territories	r=0.7	19yrs	54
Total length of Computerphile YouTube videos	r=0.79	10yrs	50
Master's degrees awarded in consumer sciences	r=0.67	10yrs	50
American cheese consumption	r=0.57	19yrs	48
Petroluem consumption in Sudan	r=0.7	19yrs	44
Associates degrees awarded in Engineering	r=0.67	11yrs	39
How trendy SciShow Space YouTube video titles are	r=0.78	9yrs	38
Cream and Neufchatel cheese consumption	r=0.57	19yrs	38
Associates degrees awarded in Liberal arts	r=0.67	11yrs	29
Average number of comments on Casually Explained YouTube videos	r=0.79	8yrs	28
Biomass power generated in Pakistan	r=0.76	13yrs	24
How insightful Casually Explained YouTube video titles are	r=0.79	8yrs	18
Master's degrees awarded in Agriculture and natural resources	r=0.65	10yrs	16
Fossil fuel use in Rwanda	r=0.69	19yrs	10
How good Casually Explained YouTube video titles are	r=0.78	8yrs	7
Nuclear power generation in Canada	r=0.68	19yrs	-2
The average number of likes on Casually Explained YouTube videos	r=0.77	8yrs	-4
Solar power generated in Madagascar	r=0.72	12yrs	-12
How professional-sounding Casually Explained YouTube video titles are	r=0.77	8yrs	-14
Fossil fuel use in Sudan	r=0.68	19yrs	-22
How cool SciShow Space YouTube video titles are	r=0.76	9yrs	-25
Biomass power generated in Cambodia	r=0.67	19yrs	-33
How professional-sounding SciShow Space YouTube video titles are	r=0.74	9yrs	-38
Solar power generated in Guinea	r=0.71	13yrs	-43
How professional-sounding Tom Scott's YouTube video titles are	r=0.7	14yrs	-49
Solar power generated in Romania	r=0.71	13yrs	-53

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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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