Top variables that correlate with The number of rail car repairers in Arkansas

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Data source: Bureau of Larbor Statistics
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The number of rail car repairers in Arkansas correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Courteney	r=0.92	6yrs	294
FA Cup final goal difference	r=0.73	18yrs	158
How provocative 3Blue1Brown YouTube video titles are	r=0.82	6yrs	151
The number of movies Gary Cooper appeared in	r=0.77	12yrs	151
Popularity of the 'florida man' meme	r=0.75	13yrs	149
Google searches for 'black hole photo'	r=0.78	12yrs	146
How 'hip and with it' AsapSCIENCE YouTube video titles are	r=0.71	9yrs	138
Google searches for 'funny cat videos'	r=0.68	17yrs	136
The average number of likes on PBS Space Time YouTube videos	r=0.78	6yrs	135
Associates degrees awarded in Library science	r=0.71	10yrs	134
The number of movies Jessica Chastain appeared in	r=0.62	17yrs	134
Mega millions lottery numbers	r=0.64	18yrs	132
Kerosene used in Yemen	r=0.66	18yrs	132
Kerosene used in Dominican Republic	r=0.64	18yrs	128
Cost to send a letter via the USPS	r=0.6	15yrs	127
The number of movies Harvey Keitel appeared in	r=0.57	18yrs	127
Google searches for 'yeet'	r=0.61	17yrs	126
Patents granted to Hewlett Packard	r=0.67	10yrs	126
Rolls-Royce annual production volume	r=0.61	16yrs	125
Height of Miss Universe Pageant winner	r=0.67	11yrs	124
US household spending on medical supplies	r=0.6	18yrs	124
Popularity of the first name Liza	r=0.6	18yrs	122
Wind power generated in Kenya	r=0.59	16yrs	122
Automotive recalls issued by Porsche	r=0.55	18yrs	121
Popularity of the first name Stormy	r=0.59	18yrs	121
xkcd comics published about history	r=0.56	14yrs	120
Public Library Website Visits in the UK	r=0.68	8yrs	118
Mega millions lottery numbers	r=0.54	18yrs	115
Mega millions lottery numbers	r=0.54	18yrs	115
The number of games in the World Series	r=0.53	18yrs	114
Customer satisfaction with Motorola	r=0.52	17yrs	112
Air quality in Fort Smith, Arkansas	r=0.5	18yrs	112
Mega millions lottery numbers	r=0.5	18yrs	109
Patents granted to Microsoft	r=0.6	10yrs	106
Patents granted to Cisco	r=0.6	10yrs	106
Customer satisfaction with LinkedIn	r=0.6	9yrs	106
US average dairy skim-solid content of canned milk evaporated and condensed milk	r=0.49	18yrs	104
xkcd comics published about outer space	r=0.52	13yrs	103
Hot days in Paris	r=0.57	10yrs	103
Patents granted to AT&T	r=0.58	10yrs	103
Popularity of the 'surprised pikachu' meme	r=0.49	15yrs	102
How trendy AsapSCIENCE YouTube video titles are	r=0.67	9yrs	102
Sewage sludge used for fertilizer in the US	r=0.48	13yrs	100
Highest sale price for a single-family home in Connecticut	r=0.48	15yrs	98
xkcd comics published about geography	r=0.48	14yrs	98
Customer satisfaction with Verizon	r=0.48	17yrs	96
Freezing temperatures in Toronto	r=0.48	16yrs	96
The number of films in Sylvester Stallone's filmography	r=0.6	18yrs	94
Average length of CGP Grey YouTube videos	r=0.65	10yrs	90
Fossil fuel use in Saint Pierre and Miquelon	r=0.56	18yrs	90
Popularity of the first name Mickey	r=0.55	18yrs	85
The number of movies Kit Harington appeared in	r=0.66	9yrs	82
Google searches for 'where to buy crutches'	r=0.52	16yrs	82
How professional-sounding Simone Giertz's YouTube video titles are	r=0.73	7yrs	78
Electricity generation in Saint Pierre and Miquelon	r=0.55	18yrs	78
Super Bowl point difference	r=0.47	18yrs	74
Google searches for 'humble pi'	r=0.52	17yrs	72
Popularity of the first name Emani	r=0.53	18yrs	72
The number of movies Tessa Thompson appeared in	r=0.54	15yrs	70
Total length of CGP Grey YouTube videos	r=0.64	10yrs	68
Gasoline pumped in Eritrea	r=0.56	18yrs	67
Runs Scored by the losing team in the World Series	r=0.51	11yrs	61
The number of movies Jamie Foxx appeared in	r=0.51	18yrs	58
Google searches for 'tetanus'	r=0.49	17yrs	58
Popularity of the first name Lane	r=0.5	18yrs	58
Kerosene used in North Korea	r=0.56	18yrs	57
Average number of comments on PBS Space Time YouTube videos	r=0.72	6yrs	56
Google searches for 'spurious correlations'	r=0.49	17yrs	48
Liquefied petroleum gas used in Philippines	r=0.56	18yrs	47
How cool Deep Look YouTube video titles are	r=0.71	7yrs	46
Popularity of the first name Kyler	r=0.49	18yrs	46
The number of movies Mark Ruffalo appeared in	r=0.48	18yrs	44
Biomass power generated in Sri Lanka	r=0.55	16yrs	36
Popularity of the first name Layne	r=0.49	18yrs	36
The number of movies Alfre Woodard appeared in	r=0.48	18yrs	34
How good Computerphile YouTube video titles are	r=0.69	8yrs	33
Google searches for 'climate change'	r=0.54	13yrs	32
Liquefied petroleum gas used in El Salvador	r=0.55	18yrs	25
Popularity of the first name Blaise	r=0.47	18yrs	23
How professional-sounding Deep Look YouTube video titles are	r=0.67	7yrs	20
Google searches for 'how to immigrate to canada'	r=0.45	17yrs	16
Petroluem consumption in Saint Lucia	r=0.54	18yrs	14
Popularity of the first name Treasure	r=0.47	18yrs	13
Liquefied petroleum gas used in Vanuatu	r=0.54	18yrs	4
The average number of likes on Casually Explained YouTube videos	r=0.6	6yrs	-2
Solar power generated in Belize	r=0.51	18yrs	-8
Average views of Steve Mould's YouTube videos	r=0.55	12yrs	-14
Liquefied petroleum gas used in Maldives	r=0.54	17yrs	-18
How trendy PBS Space Time YouTube video titles are	r=0.59	6yrs	-24
Gasoline pumped in North Korea	r=0.53	18yrs	-28
How cool 3Blue1Brown YouTube video titles are	r=0.58	6yrs	-35
Liquefied petroleum gas used in North Korea	r=0.51	18yrs	-41
How insightful Matt Parker's YouTube video titles are	r=0.55	10yrs	-46
Electricity generation in Italy	r=-0.78	18yrs	-52
How clickbait-y 3Blue1Brown YouTube video titles are	r=0.57	6yrs	-57
Solar power generated in Uganda	r=0.5	16yrs	-62
How good Deep Look YouTube video titles are	r=0.55	7yrs	-68
Liquefied petroleum gas used in Zambia	r=0.5	18yrs	-72
Total likes of MrBeast's YouTube videos	r=0.52	9yrs	-81
Liquefied petroleum gas used in Bahrain	r=0.49	18yrs	-84
How nerdy Casually Explained YouTube video titles are	r=-0.91	6yrs	-91

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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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