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

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

Variable	Correlation	Years	Sys. Score
Popularity of the first name Courteney	r=0.93	6yrs	295
Gasoline pumped in Puerto Rico	r=0.76	19yrs	162
Viewership count for Days of Our Lives	r=0.71	19yrs	161
Popularity of the first name Staci	r=0.72	20yrs	158
Popularity of the first name Geoffrey	r=0.7	20yrs	154
US household spending on processed fruits	r=0.68	20yrs	153
Kerosene used in Belgium	r=0.69	20yrs	153
How professional-sounding Computerphile YouTube video titles are	r=0.74	10yrs	143
Brick cheese consumption	r=0.66	19yrs	142
Bachelor's degrees awarded in Liberal arts	r=0.75	10yrs	142
How geeky MrBeast's YouTube video titles are	r=0.72	11yrs	141
Remaining Forest Cover in the Brazilian Amazon	r=0.65	20yrs	140
xkcd comics published about philosophy	r=0.68	16yrs	140
The number of movies Hugo Weaving appeared in	r=0.64	20yrs	140
Total views on minutephysics YouTube videos	r=0.7	12yrs	139
US birth rates of triplets or more	r=0.63	19yrs	137
Master's degrees awarded in Transportation	r=0.71	10yrs	136
US household spending on laundry and cleaning supplies	r=0.67	20yrs	136
US household spending on prescription drugs	r=0.67	20yrs	136
The number of movies Channing Tatum appeared in	r=0.63	18yrs	136
US household spending on food	r=0.66	20yrs	135
Number of Slot Machines in Nevada	r=0.6	20yrs	134
US Tobacco Production	r=0.65	20yrs	134
GMO use in cotton	r=0.63	20yrs	134
Master's degrees awarded in Liberal arts	r=0.7	10yrs	134
US household spending on poultry	r=0.65	20yrs	134
Liquefied petroleum gas used in Japan	r=0.66	20yrs	134
The number of movies Kirsten Dunst appeared in	r=0.6	20yrs	134
Bloomberg Money Stuff articles about bitcoin	r=0.72	9yrs	133
Total number of batters faced by Joe Nathan	r=0.7	14yrs	132
Asthma attacks in American children	r=0.63	17yrs	132
US household spending on dairy products	r=0.64	20yrs	132
US household spending on fresh milk and cream	r=0.64	20yrs	132
Number of public school students in 11th grade	r=-0.77	20yrs	131
NASA's budget as a percentage of the total US Federal Budget	r=0.59	20yrs	130
Number of highschoolers in the US	r=-0.76	20yrs	130
Burglary rates in the US	r=0.58	20yrs	130
Emmy Awards Ceremony viewership	r=0.62	20yrs	129
US household spending on meats, poultry, fish, and eggs	r=0.62	20yrs	129
US household spending on books	r=0.62	20yrs	129
Google searches for 'Gangnam Style'	r=0.66	11yrs	128
Customer satisfaction with Walgreens	r=0.63	16yrs	128
US household spending on pork	r=0.61	20yrs	128
xkcd comics published about the internet	r=0.6	16yrs	128
Popularity of the 'gangnam style' meme	r=0.62	11yrs	128
West Nile Virus Cases	r=0.59	20yrs	126
Milk consumption	r=0.55	19yrs	126
The distance between Neptune and the Sun	r=0.59	20yrs	126
The distance between Neptune and Earth	r=0.59	20yrs	126
The distance between Neptune and the moon	r=0.59	20yrs	126
Popularity of the first name Kerri	r=0.7	20yrs	124
Visitors to SeaWorld California	r=0.59	15yrs	124
Google searches for 'how to fake your own death'	r=0.54	19yrs	124
Popularity of the first name Yamilex	r=0.7	20yrs	114
Total comments on minutephysics YouTube videos	r=0.68	12yrs	106
Popularity of the first name Christin	r=0.7	20yrs	104
Liquefied petroleum gas used in Luxembourg	r=0.66	20yrs	104
The number of movies Miranda Otto appeared in	r=0.59	20yrs	102
Bachelor's degrees awarded in gender studies	r=0.68	10yrs	101
How nerdy MrBeast's YouTube video titles are	r=0.69	11yrs	96
Kerosene used in Sierra Leone	r=0.67	19yrs	94
The distance between Neptune and Mercury	r=0.58	20yrs	94
Popularity of the first name Elissa	r=0.69	20yrs	93
Master's degrees awarded in Education	r=0.67	10yrs	90
The number of movies Catherine Zeta-Jones appeared in	r=0.6	15yrs	88
Liquefied petroleum gas used in Slovakia	r=0.66	20yrs	84
Popularity of the first name Glen	r=0.69	20yrs	83
Total length of minutephysics YouTube videos	r=0.66	12yrs	83
The number of movies Rooney Mara appeared in	r=0.57	18yrs	77
Master's degrees awarded in Library science	r=0.65	10yrs	76
US household spending on postage and stationery	r=0.59	20yrs	74
Popularity of the first name Dwight	r=0.68	20yrs	72
Kerosene used in Botswana	r=0.66	19yrs	72
US household spending on clothin for women	r=0.59	20yrs	69
How geeky Tom Scott's YouTube video titles are	r=0.61	14yrs	68
Master's degrees awarded in Social sciences and history	r=0.65	10yrs	66
Popularity of the first name Tyron	r=0.68	20yrs	62
Kerosene used in Brazil	r=0.66	19yrs	62
Average number of comments on Numberphile YouTube videos	r=0.62	12yrs	57
Popularity of the first name Krysten	r=0.68	20yrs	52
Liquefied petroleum gas used in Djibouti	r=0.66	19yrs	52
Kerosene used in Peru	r=0.66	19yrs	42
Jet fuel used in Ukraine	r=0.66	19yrs	32
Popularity of the first name Asha	r=0.68	20yrs	26
Kerosene used in Djibouti	r=0.65	19yrs	21
Popularity of the first name Salena	r=0.68	20yrs	16
Fossil fuel use in Sierra Leone	r=0.62	19yrs	10
Popularity of the first name Corrina	r=0.68	20yrs	6
Kerosene used in Australia	r=0.64	20yrs	0
Popularity of the first name Corrine	r=0.68	20yrs	-4
Liquefied petroleum gas used in French Polynesia	r=0.64	19yrs	-10
Popularity of the first name Mckenna	r=0.67	20yrs	-15
Liquefied petroleum gas used in Norway	r=0.63	20yrs	-21
Popularity of the first name Ross	r=0.67	20yrs	-25
Kerosene used in South Korea	r=0.63	20yrs	-31
Popularity of the first name Ashanti	r=0.67	20yrs	-35
Petroluem consumption in Bahrain	r=-0.8	19yrs	-42
Popularity of the first name Kolby	r=0.67	20yrs	-45
Kerosene used in Bangladesh	r=0.63	19yrs	-52
Popularity of the first name Garrison	r=0.67	20yrs	-55
Kerosene used in Guyana	r=0.63	19yrs	-62

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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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