Top variables that correlate with Hot days in Charlotte

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Data source: NOAA National Climate Data Center
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Hot days in Charlotte correlates with...

Variable	Correlation	Years	Sys. Score
Votes for the Libertarian Presidential candidate in North Carolina	r=0.91	11yrs	336
The number of movies Lupita Nyong'o appeared in	r=0.81	12yrs	157
How nerdy Deep Look YouTube video titles are	r=0.81	9yrs	152
Wind power generated in Panama	r=0.83	9yrs	151
Popularity of the first name Kori	r=0.48	48yrs	150
US dairy skim solids used to produce evaporated and condensed milk	r=0.65	22yrs	149
How clickbait-y OverSimplified YouTube video titles are	r=0.8	7yrs	149
Popularity of the first name Raphael	r=0.47	48yrs	148
Wind power generated in Slovenia	r=0.8	9yrs	146
Wind power generated in Bangladesh	r=0.78	9yrs	144
Total likes of Deep Look YouTube videos	r=0.74	9yrs	142
Global annual sales of the Xbox 360	r=0.74	10yrs	137
The number of movies Bryce Dallas Howard appeared in	r=0.65	16yrs	137
Automotive recalls issued by Keystone RV Company	r=0.62	22yrs	136
Bachelor's degrees awarded in Precision production	r=0.71	10yrs	136
The number of hotel desk clerks in North Carolina	r=0.66	20yrs	135
The number of phlebotomists in North Carolina	r=0.71	11yrs	135
Popularity of the 'surprised pikachu' meme	r=0.67	10yrs	134
The number of movies Margot Robbie appeared in	r=0.65	12yrs	133
Number of times 4 was a winning Mega Millions number	r=0.64	17yrs	132
Popularity of the first name Calvin	r=0.46	48yrs	132
Customer satisfaction with YouTube	r=0.68	12yrs	132
Number of times 19 was a winning Mega Millions number	r=0.64	16yrs	131
The number of graphic designers in North Carolina	r=0.62	20yrs	130
US average milk-fat content of canned milk evaporated and condensed milk	r=0.62	22yrs	128
Master's degrees awarded in Engineering	r=0.66	10yrs	128
Total employee count at Continental AG	r=0.57	24yrs	127
US Bottled Water Consumption per Person	r=0.53	24yrs	126
US production of evaporated and condensed milk	r=0.59	22yrs	126
Bachelor's degrees awarded in journalism	r=0.65	10yrs	126
GMO use in cotton	r=0.55	23yrs	124
Corning's stock price (GLW)	r=0.58	21yrs	124
Telkom Indonesia (Persero) Tbk PT's stock price (Persero)	r=0.58	21yrs	124
Adidas Group's Global Net Sales	r=0.58	23yrs	123
Javier Mascherano's International Match Count	r=0.64	14yrs	123
GMO use in corn	r=0.52	23yrs	123
GMO use in cotton in North Carolina	r=0.54	23yrs	123
Annual US household spending on telephone services	r=0.56	23yrs	123
Number of sets won by the losing team in NCAA Women's Volleyball Div III Championship finals	r=0.54	28yrs	122
HP Inc.'s stock price (HPQ)	r=0.56	21yrs	121
US per-person consumption of bottled water	r=0.53	24yrs	120
Google searches for 'Brexit'	r=0.7	7yrs	120
Total views on Deep Look YouTube videos	r=0.72	9yrs	109
Electricity generation in Uruguay	r=0.49	42yrs	103
Popularity of the first name Marcel	r=0.46	48yrs	102
The number of movies Idris Elba appeared in	r=0.56	23yrs	100
Total likes of Extra History YouTube videos	r=0.7	11yrs	98
The number of postsecondary art, drama, and music teachers in North Carolina	r=0.61	20yrs	98
Italian-type cheese consumption	r=0.49	27yrs	94
GMO use in cotton	r=0.54	23yrs	93
Popularity of the first name Liana	r=0.46	48yrs	92
Renewable energy production in Uruguay	r=0.48	42yrs	92
How provocative Deep Look YouTube video titles are	r=0.71	9yrs	88
The number of chiropractors in North Carolina	r=0.6	20yrs	88
Bulk and canned skim evaporated and condensed milk consumption	r=0.45	32yrs	83
Global Box Office Revenue of UK Films	r=0.54	21yrs	82
Petroluem consumption in South Sudan	r=0.72	10yrs	82
GMO use in corn	r=0.5	23yrs	80
Popularity of the first name Colt	r=0.45	48yrs	80
The number of bartenders in North Carolina	r=0.6	20yrs	78
US production of sour cream	r=0.56	22yrs	72
The number of movies Joan Crawford appeared in	r=0.52	21yrs	72
How nerdy OverSimplified YouTube video titles are	r=0.75	7yrs	72
Popularity of the first name Conrad	r=0.45	48yrs	70
Gasoline pumped in Cameroon	r=0.49	42yrs	70
The number of hairdressers, hairstylists, and cosmetologists in North Carolina	r=0.61	20yrs	68
Mozzarella cheese consumption	r=0.48	27yrs	62
The number of movies Emily Blunt appeared in	r=0.54	17yrs	62
How provocative Simone Giertz's YouTube video titles are	r=0.67	9yrs	62
Popularity of the first name Joelle	r=0.45	48yrs	60
Liquefied petroleum gas used in South Sudan	r=0.7	10yrs	60
The number of sound engineering technicians in North Carolina	r=0.6	20yrs	56
Muenster cheese consumption	r=0.46	27yrs	50
How professional-sounding MinuteEarth YouTube video titles are	r=0.65	10yrs	50
Hydopower energy generated in Georgia	r=0.54	30yrs	48
The number of urban planners in North Carolina	r=0.59	20yrs	44
Jet fuel used in South Sudan	r=0.69	10yrs	38
How provocative SmarterEveryDay YouTube video titles are	r=0.59	16yrs	36
The number of forensic science technicians in North Carolina	r=0.59	20yrs	34
Fossil fuel use in Latvia	r=0.53	30yrs	27
How cool OverSimplified YouTube video titles are	r=0.71	7yrs	26
The number of pharmacists in North Carolina	r=0.58	20yrs	24
Electricity generation in Georgia	r=0.52	30yrs	16
How cool MrBeast's YouTube video titles are	r=0.62	11yrs	16
The number of receptionists in North Carolina	r=0.58	20yrs	14
Hydopower energy generated in Sierra Leone	r=0.58	22yrs	6
Total length of 'Be Smart' science YouTube videos	r=0.63	10yrs	6
The number of pharmacy technicians in North Carolina	r=0.58	20yrs	3
Fossil fuel use in South Sudan	r=0.66	10yrs	-4
How nerdy SmarterEveryDay YouTube video titles are	r=0.58	16yrs	-5
The number of computer user support specialists in North Carolina	r=0.63	11yrs	-8
Gasoline pumped in Morocco	r=0.46	42yrs	-14
The number of paralegals in North Carolina	r=0.57	18yrs	-19
How nerdy minutephysics YouTube video titles are	r=0.58	12yrs	-19
Jet fuel used in Poland	r=0.46	43yrs	-24
How geeky minutephysics YouTube video titles are	r=0.58	12yrs	-29
Wind power generated in Mauritania	r=0.64	10yrs	-36
Average views of Mark Rober YouTube videos	r=0.58	12yrs	-39
Jet fuel used in Samoa	r=0.58	22yrs	-46
Jet fuel used in Lithuania	r=0.51	31yrs	-58
Petroluem consumption in North Macedonia	r=0.51	30yrs	-69

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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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