Top variables that correlate with Deepest snow depth in New York

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Data source: NOAA National Climate Data Center
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Deepest snow depth in New York correlates with...

Variable	Correlation	Years	Has img?
Popularity of the 'harambe' meme	r=0.92	7yrs	No
Global annual sales of the Xbox 360	r=0.84	10yrs	No
The number of movies Gal Gadot appeared in	r=0.78	13yrs	No
Number of Botox Injections Administered to Women	r=0.45	23yrs	No

Deepest snow depth in New York also correlates with...

Variable	Correlation	Years	Sys. Score
How good Technology Connections YouTube video titles are	r=0.79	8yrs	148
Google searches for 'superman'	r=0.67	19yrs	137
The number of movies Ben Affleck appeared in	r=0.54	31yrs	136
Hydopower energy generated in Portugal	r=0.48	42yrs	132
The number of movies Ellen Page appeared in	r=0.6	18yrs	132
Google searches for 'please clap'	r=0.62	19yrs	130
Total views on Matt Parker's YouTube videos	r=0.64	12yrs	130
How geeky CGP Grey YouTube video titles are	r=0.62	12yrs	127
Customer satisfaction with HuffPost	r=0.62	11yrs	122
Number of times 2 was a winning Mega Millions number	r=0.57	17yrs	121
Public Library Website Visits in the UK	r=0.7	8yrs	120
The number of athletes and sports competitors in New York	r=0.57	19yrs	120
The number of orderlies in New York	r=0.62	11yrs	120
xkcd comics published about artificial intelligence	r=0.53	16yrs	118
Number of home runs hit by Matt Kemp	r=0.56	15yrs	115
The number of foundry mold and coremakers in New York	r=0.52	20yrs	114
Hydopower energy generated in Serbia	r=0.54	16yrs	114
Lukas Podolski's yearly international goals for Germany national team	r=0.56	13yrs	113
Air quality in Binghamton, New York	r=0.64	7yrs	112
Google searches for 'who is donald trump'	r=0.47	18yrs	106
Wind power generated in Samoa	r=0.57	8yrs	101
Age of American Idol Winner	r=0.49	13yrs	98
Master's degrees awarded in Theology and religious vocations	r=0.52	10yrs	97
Andy Murray's ATP final appearances	r=0.5	15yrs	96
Patents granted to Google	r=0.49	11yrs	90
Amazon's shipping revenue in millions of dollars	r=0.5	11yrs	89
The number of movies Jordana Brewster appeared in	r=0.54	14yrs	88
Bachelor's degrees awarded in law enforcement	r=0.46	10yrs	88
Amazon's Annual Outbound Shipping Expenditure in Millions	r=0.48	11yrs	86
How professional-sounding OverSimplified YouTube video titles are	r=0.64	7yrs	85
The number of locksmiths and safe repairers in New York	r=0.48	20yrs	78
Number of Automotive Franchise Establishments in the US	r=-0.76	8yrs	77
The number of movies Orlando Bloom appeared in	r=0.48	20yrs	76
xkcd comics published about hobbies	r=-0.57	16yrs	75
xkcd comics published about cryptography	r=-0.54	15yrs	71
How nerdy OverSimplified YouTube video titles are	r=0.61	7yrs	70
Liquefied petroleum gas used in Germany, West	r=0.57	8yrs	68
Shell's stock price (SHEL)	r=-0.51	21yrs	68
Number of edits to the Wikipedia article for JP Morgan Chase	r=-0.48	20yrs	68
Air pollution in Binghamton, New York	r=-0.72	6yrs	67
The Bank of Nova Scotia's stock price (BNS)	r=-0.49	20yrs	65
Itaú Unibanco Holding's stock price (ITUB)	r=-0.49	20yrs	65
How professional-sounding MinuteEarth YouTube video titles are	r=0.58	10yrs	59
The number of movies Mahershala Ali appeared in	r=0.55	13yrs	59
Ana Ivanovic's WTA Finals played	r=-0.84	8yrs	55
Cosmopolitan's annual advertising revenue	r=-0.62	8yrs	53
Associates degrees awarded in Library science	r=-0.53	11yrs	52
Liquefied petroleum gas used in Montenegro	r=0.47	16yrs	51
How clickbait-y SciShow Space YouTube video titles are	r=0.58	9yrs	48
Australia's Per Capita GDP	r=-0.47	14yrs	47
Google searches for 'how to trap a spider'	r=-0.6	16yrs	44
Patents granted to Hyundai	r=-0.49	8yrs	43
Yearly peak of NYSE composite index	r=-0.46	10yrs	39
The number of movies Emma Stone appeared in	r=0.46	16yrs	38
How nerdy MinuteEarth YouTube video titles are	r=0.57	10yrs	37
Las Vegas Sands' stock price (LVS)	r=-0.49	18yrs	32
The number of loan officers in New York	r=-0.55	20yrs	31
Wind power generated in Slovakia	r=-0.64	19yrs	30
Total comments on SciShow Space YouTube videos	r=0.57	9yrs	26
Associates degrees awarded in Transportation	r=-0.52	11yrs	20
The number of industrial machinery mechanics in New York	r=-0.53	20yrs	19
Total views on Casually Explained YouTube videos	r=0.58	7yrs	16
Biomass power generated in Malaysia	r=-0.61	13yrs	12
VMware's stock price (VMW)	r=-0.52	13yrs	11
How good minutephysics YouTube video titles are	r=0.54	12yrs	5
The number of occupational therapists in New York	r=-0.47	20yrs	3
How provocative SciShow Space YouTube video titles are	r=0.56	9yrs	-5
Renewable energy production in Brunei	r=-0.58	10yrs	-15
Total views on PBS Space Time YouTube videos	r=0.56	8yrs	-16
The number of movies Florence Pugh appeared in	r=-0.51	7yrs	-18
The number of preschool special education teachers in New York	r=-0.52	11yrs	-21
Solar power generated in Brunei	r=-0.58	10yrs	-25
How nerdy SciShow Space YouTube video titles are	r=0.55	9yrs	-26
The number of movies Rachel Bilson appeared in	r=-0.47	7yrs	-32
The average number of likes on CGP Grey YouTube videos	r=0.51	12yrs	-40
Kerosene used in Germany, East	r=-0.6	6yrs	-40
The average number of likes on SciShow Space YouTube videos	r=0.52	9yrs	-51
Solar power generated in Cabo Verde	r=-0.45	12yrs	-56
Total views on SciShow Space YouTube videos	r=0.52	9yrs	-61
Solar power generated in Belarus	r=-0.46	8yrs	-68
How nerdy SmarterEveryDay YouTube video titles are	r=0.47	16yrs	-72
How provocative MinuteEarth YouTube video titles are	r=0.51	10yrs	-82
Total likes of Casually Explained YouTube videos	r=0.52	7yrs	-93

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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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