Top variables that correlate with Runs scored by the Baltimore Orioles

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Data source: Baseball-Reference.com
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Runs scored by the Baltimore Orioles correlates with...

Variable	Correlation	Years	Has img?
Associates degrees awarded in Dental assisting	r=0.91	11yrs	Yes!
Google searches for 'how to cut own hair'	r=-0.89	20yrs	Yes!

Runs scored by the Baltimore Orioles also correlates with...

Variable	Correlation	Years	Sys. Score
Liquefied petroleum gas used in Central African Republic	r=0.89	14yrs	302
Solar power generated in Central African Republic	r=0.92	8yrs	298
Total Runs Scored by Chicago Cubs Team in National League (Central and East Division)	r=0.74	48yrs	240
New York Yankees' victories	r=0.64	48yrs	225
British Open Golf Championship winner's score	r=0.62	48yrs	222
Popularity of the first name Moesha	r=0.71	19yrs	175
Google searches for 'where to buy toilet paper'	r=-0.89	20yrs	172
Google searches for 'n95 mask'	r=-0.9	19yrs	172
Popularity of the first name Shania	r=0.5	48yrs	172
Popularity of the first name Serina	r=0.49	48yrs	171
Total annual cinema attendance in the UK	r=0.73	22yrs	162
LeBron James' field goal count	r=0.73	20yrs	160
Home Run Count for the Texas Rangers Team	r=0.53	48yrs	158
The number of automotive service technicians and mechanics in Maryland	r=0.71	20yrs	158
Brick cheese consumption	r=0.57	27yrs	156
Visitors to SeaWorld California	r=0.83	15yrs	155
Annual US household spending on clothin for women	r=0.64	23yrs	155
How cool Technology Connections YouTube video titles are	r=0.69	9yrs	154
Annual US household spending on clothing	r=0.62	23yrs	152
US household spending on public transportation	r=0.62	23yrs	152
US household spending on alcoholic beverages	r=0.61	23yrs	150
Load Factor of US Carrier Flights	r=0.62	20yrs	149
US household spending on personal care products and services	r=0.6	23yrs	149
Annual US household spending on clothing for men	r=0.59	23yrs	148
Fossil fuel use in Germany	r=0.56	31yrs	148
US Employment Rate	r=0.55	33yrs	146
Movie ticket sales in the U.S. and Canada by year	r=0.48	43yrs	146
US household spending on other household products	r=-0.72	23yrs	146
How cool CGP Grey YouTube video titles are	r=0.6	13yrs	145
Sherbet consumption	r=0.46	32yrs	144
US household spending on food	r=0.56	23yrs	143
Visitors to Disney Worlds Magic Kingdom	r=0.77	15yrs	142
US household spending on clothing for men	r=0.55	23yrs	142
Processed cheese consumption	r=0.46	27yrs	140
The marriage rate in Maryland	r=0.71	23yrs	140
US household spending on clothing	r=0.54	23yrs	140
How nerdy Numberphile YouTube video titles are	r=0.57	13yrs	140
Popularity of the first name Keely	r=0.47	48yrs	138
NCAA Women's Ice Hockey National Championship Winner's Score	r=0.65	22yrs	136
Google searches for 'adopt a dog'	r=-0.82	20yrs	134
The divorce rate in Maryland	r=0.66	23yrs	134
Global count of Health & Fitness Clubs	r=0.7	11yrs	132
Number of Automotive Franchise Establishments in the US	r=0.74	8yrs	132
The number of cabinetmakers in Maryland	r=0.63	20yrs	130
The number of shampooers in Maryland	r=0.61	20yrs	128
Total number of batters faced by Joe Nathan	r=0.74	18yrs	127
Passenger traffic at Hartsfield-Jackson Atlanta International Airport	r=0.54	23yrs	126
Associates degrees awarded in health assistance	r=0.58	11yrs	126
Bachelor's degrees awarded in Theology and religious vocations	r=0.58	10yrs	126
Visitors to Disneyland	r=0.76	15yrs	125
US Tobacco Production	r=0.56	23yrs	123
Carjackings in the US	r=0.46	27yrs	120
Popularity of the first name Quentin	r=0.46	48yrs	112
Detroit Tigers' number of lost games in a specific season of the American League	r=0.48	48yrs	111
How clickbait-y minutephysics YouTube video titles are	r=0.57	13yrs	110
Popularity of the first name Daysha	r=0.46	48yrs	102
Number of games won by Miami Marlins in the National League (East Division)	r=0.59	30yrs	100
US average milk-fat content of cottage cheese	r=0.5	22yrs	100
Petroluem consumption in Switzerland	r=0.48	43yrs	100
How insightful Technology Connections YouTube video titles are	r=0.65	9yrs	98
The number of retail salespersons in Maryland	r=0.61	20yrs	98
Culinary Associates degrees awarded	r=0.57	11yrs	94
Hispanic cheese consumption	r=-0.63	26yrs	88
Fossil fuel use in Denmark	r=0.46	42yrs	88
US household spending on clothin for women	r=0.52	23yrs	87
Popularity of the first name Daija	r=0.5	37yrs	86
How geeky OverSimplified YouTube video titles are	r=0.65	7yrs	86
The number of payroll and timekeeping clerks in Maryland	r=0.6	20yrs	86
Associates degrees awarded in social services	r=0.57	11yrs	84
US household spending on shoes	r=0.5	23yrs	79
Popularity of the first name Daijah	r=0.52	33yrs	76
US average dairy skim-solid content of cottage cheese	r=0.47	22yrs	76
Master's degrees awarded in Architecture	r=0.57	10yrs	74
The number of forest conservation technicians in Maryland	r=0.59	19yrs	74
Gasoline pumped in Slovenia	r=0.52	31yrs	74
US household spending on postage and stationery	r=0.47	23yrs	70
How nerdy OverSimplified YouTube video titles are	r=0.61	7yrs	70
Annual growth rate of US Real GDP	r=0.47	33yrs	70
NBA Season MVP's Age	r=0.48	32yrs	65
Popularity of the first name Alize	r=0.49	36yrs	64
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.46	22yrs	64
Jet fuel used in Uzbekistan	r=0.53	30yrs	64
The number of chefs and head cooks in Maryland	r=0.58	20yrs	63
US household spending on processed vegetables	r=-0.71	23yrs	60
Associates degrees awarded in Business	r=0.54	11yrs	60
How provocative MinuteEarth YouTube video titles are	r=0.57	11yrs	58
US average milk-fat content of cream products	r=0.62	7yrs	53
Popularity of the first name Madisen	r=0.47	37yrs	52
The number of tool and die makers in Maryland	r=0.57	20yrs	51
Master's degrees awarded in linguistics	r=0.54	10yrs	50
How professional-sounding Computerphile YouTube video titles are	r=0.54	11yrs	44
US average dairy skim-solid content of bulk evaporated and condensed milk	r=0.45	22yrs	42
Popularity of the first name Lexus	r=0.49	33yrs	41
Popularity of the first name Raquan	r=0.47	36yrs	31
Popularity of the first name Dajah	r=0.49	32yrs	20
Popularity of the first name Malique	r=0.48	34yrs	10
Popularity of the first name Raekwon	r=0.48	29yrs	-4
Popularity of the first name Shaniah	r=0.45	33yrs	-15
Popularity of the first name Yamilex	r=0.48	28yrs	-26

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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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