Top variables that correlate with Snowfall in Albuquerque

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Data source: NOAA National Climate Data Center
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Snowfall in Albuquerque correlates with...

Variable	Correlation	Years	Has img?
England's performance in Cricket World Cups	r=-0.95	9yrs	No

Snowfall in Albuquerque also correlates with...

Variable	Correlation	Years	Sys. Score
How provocative Technology Connections YouTube video titles are	r=0.9	9yrs	316
Gasoline pumped in South Sudan	r=0.88	10yrs	276
Number of edits to the Wikipedia article for Pluto	r=0.73	21yrs	166
Number of edits to the Wikipedia article for Thomas Jefferson	r=0.69	21yrs	160
How provocative LockPickingLawyer YouTube video titles are	r=0.8	9yrs	151
Average length of OverSimplified YouTube videos	r=0.79	7yrs	148
Popularity of the 'whip nae nae' meme	r=0.73	9yrs	142
Popularity of the 'leeroy jenkins' meme	r=0.67	18yrs	142
Kerosene used in South Sudan	r=0.77	10yrs	140
Popularity of the 'Maps Without New Zealand' meme	r=0.66	16yrs	138
Number of edits to the Wikipedia article for Zeus	r=0.61	21yrs	133
The number of movies Tom Hardy appeared in	r=0.58	18yrs	128
Grand Slam Finals Played by Serena Williams	r=0.63	16yrs	126
Gasoline pumped in Germany, West	r=0.67	11yrs	126
The number of movies Andy Serkis appeared in	r=0.51	26yrs	126
The number of movies Emily Watson appeared in	r=0.52	23yrs	124
Number of edits to the Wikipedia article for Benjamin Franklin	r=0.54	21yrs	122
Brookfield's stock price (BN)	r=0.56	21yrs	121
The number of electrical power-line installers and repairers in New Mexico	r=0.53	20yrs	116
Worldwide revenue from Harley Davidson motorcycles	r=0.6	12yrs	115
Number of edits to the Wikipedia article for Thomas Edison	r=0.49	21yrs	115
Tiger Woods' Final Position in the US Open	r=0.49	19yrs	114
Air pollution in Carlsbad, New Mexico	r=0.5	20yrs	114
Number of times 4 was a winning Mega Millions number	r=0.51	16yrs	112
Number of edits to the Wikipedia article for Justin Trudeau	r=0.48	19yrs	112
Number of edits to the Wikipedia article for Britney Spears	r=0.46	22yrs	112
Number of edits to the Wikipedia article for Alexander Hamilton	r=0.46	20yrs	110
How 'hip and with it' PBS Space Time YouTube video titles are	r=0.7	9yrs	106
Google searches for 'dr pepper vs mr pibb'	r=0.46	20yrs	106
US average dairy skim-solid content of canned milk evaporated and condensed milk	r=0.45	21yrs	102
Age of American Idol Winner	r=0.49	12yrs	98
US Motorcycle Manufacturing Industry Revenue	r=0.55	11yrs	96
How nerdy Technology Connections YouTube video titles are	r=0.69	9yrs	94
The number of movies Amy Poehler appeared in	r=0.5	24yrs	92
Liquefied petroleum gas used in South Sudan	r=0.64	10yrs	90
Master's degrees awarded in Precision production	r=-0.81	10yrs	90
Popularity of the 'all your base' meme	r=0.5	18yrs	86
Number of Automotive Franchise Establishments in the US	r=0.5	8yrs	86
U.S. hotel industry occupancy rate	r=0.46	13yrs	85
Gasoline pumped in Serbia	r=0.58	16yrs	78
How fun Steve Mould's YouTube video titles are	r=0.6	14yrs	76
Bankruptcies in California	r=-0.72	11yrs	76
Customer satisfaction with Whole Foods	r=-0.62	14yrs	74
Customer satisfaction with Rite Aid	r=-0.57	16yrs	70
Customer satisfaction with Vonage	r=-0.53	20yrs	70
Liquefied petroleum gas used in Germany, East	r=0.61	11yrs	67
Google searches for 'what color should I paint my house'	r=-0.47	20yrs	64
Customer satisfaction with Macy's	r=-0.51	16yrs	64
Popularity of the 'the dress black blue white gold' meme	r=0.51	13yrs	63
The number of biological technicians in New Mexico	r=-0.46	20yrs	62
How 'hip and with it' OverSimplified YouTube video titles are	r=0.67	7yrs	60
Global sales revenue of elevators and escalators	r=-0.62	7yrs	56
Votes for the Republican Presidential candidate in New Mexico	r=-0.54	11yrs	54
Kerosene used in Croatia	r=0.46	28yrs	52
Global revenue from elevator and escalator sales	r=-0.62	7yrs	52
Public Library Website Visits in the UK	r=-0.56	8yrs	52
Average views of PBS Space Time YouTube videos	r=0.66	9yrs	50
Worldwide Count of Nokia Employees	r=-0.46	18yrs	50
Customer satisfaction with Target	r=-0.46	17yrs	50
Votes for the Democratic Presidential candidate in New Mexico	r=-0.5	11yrs	50
Votes for the Democratic Presidential candidate in New Mexico	r=-0.49	11yrs	49
The number of movies Hugo Weaving appeared in	r=-0.47	37yrs	48
Patents granted to Hyundai	r=-0.53	8yrs	47
Average number of comments on PBS Space Time YouTube videos	r=0.66	9yrs	40
Wind power generated in Vanuatu	r=0.56	12yrs	34
The number of movies Matt Damon appeared in	r=-0.46	31yrs	30
How clickbait-y Casually Explained YouTube video titles are	r=0.65	8yrs	28
Wind power generated in Aruba	r=0.51	13yrs	17
How geeky Casually Explained YouTube video titles are	r=0.64	8yrs	16
Votes for the Libertarian Presidential candidate in New Mexico	r=-0.46	11yrs	16
How professional-sounding Deep Look YouTube video titles are	r=0.62	10yrs	5
Renewable energy production in Vanuatu	r=0.48	12yrs	2
Popularity of the 'harambe' meme	r=-0.48	8yrs	0
Average number of comments on OverSimplified YouTube videos	r=0.62	7yrs	-8
Petroluem consumption in South Sudan	r=0.5	10yrs	-10
Popularity of the 'fidget spinner' meme	r=-0.5	7yrs	-10
How insightful OverSimplified YouTube video titles are	r=0.61	7yrs	-20
Hydopower energy generated in Tanzania	r=-0.46	40yrs	-26
How clickbait-y 3Blue1Brown YouTube video titles are	r=0.58	9yrs	-32
Petroluem consumption in Hawaiian Trade Zone	r=-0.81	7yrs	-38
How nerdy Deep Look YouTube video titles are	r=0.57	10yrs	-43
Gasoline pumped in Hawaiian Trade Zone	r=-0.81	7yrs	-48
How fun 3Blue1Brown YouTube video titles are	r=0.56	9yrs	-55
Jet fuel used in Hawaiian Trade Zone	r=-0.81	7yrs	-58
How trendy Steve Mould's YouTube video titles are	r=0.52	14yrs	-66
Petroluem consumption in Togo	r=-0.46	40yrs	-70
How insightful Computerphile YouTube video titles are	r=0.53	11yrs	-78
Kerosene used in Germany, West	r=-0.7	11yrs	-84
Total length of OverSimplified YouTube videos	r=0.54	7yrs	-90
Liquefied petroleum gas used in Lesotho	r=-0.48	33yrs	-94
Gasoline pumped in Aruba	r=-0.46	34yrs	-106

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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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