Top variables that correlate with Runs scored by the Pittsburgh Pirates

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Data source: Baseball-Reference.com
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Runs scored by the Pittsburgh Pirates correlates with...

Variable	Correlation	Years	Has img?
Number of Automotive Franchise Establishments in the US	r=0.97	8yrs	No

Runs scored by the Pittsburgh Pirates also correlates with...

Variable	Correlation	Years	Sys. Score
Liquefied petroleum gas used in Central African Republic	r=0.88	14yrs	300
Visitors to Disney Worlds Magic Kingdom	r=0.87	15yrs	282
Total Runs Scored by Chicago Cubs Team in National League (Central and East Division)	r=0.77	48yrs	244
British Open Golf Championship winner's score	r=0.67	48yrs	230
The marriage rate in Pennsylvania	r=0.82	23yrs	207
US household spending on public transportation	r=0.74	23yrs	205
Total annual cinema attendance in the UK	r=0.78	22yrs	190
Detroit Tigers' number of lost games in a specific season of the American League	r=0.59	48yrs	188
The number of hairdressers, hairstylists, and cosmetologists in Pennsylvania	r=0.78	20yrs	188
New York Yankees' victories	r=0.55	48yrs	182
Annual US household spending on clothing	r=0.68	23yrs	176
Google searches for 'n95 mask'	r=-0.92	19yrs	174
Annual US household spending on clothing for men	r=0.66	23yrs	173
Google searches for 'where to buy toilet paper'	r=-0.9	20yrs	172
Associates degrees awarded in Dental assisting	r=0.81	11yrs	170
US household spending on personal care products and services	r=0.64	23yrs	170
Google searches for 'how to cut own hair'	r=-0.85	20yrs	168
The number of waiters and waitresses in Pennsylvania	r=0.74	20yrs	162
How cool Technology Connections YouTube video titles are	r=0.73	9yrs	160
Miss World's Age	r=0.53	48yrs	158
How insightful Technology Connections YouTube video titles are	r=0.71	9yrs	158
How professional-sounding Technology Connections YouTube video titles are	r=0.71	9yrs	158
Petroluem consumption in United Kingdom	r=0.52	48yrs	156
Load Factor of US Carrier Flights	r=0.66	20yrs	155
Movie ticket sales in the U.S. and Canada by year	r=0.53	43yrs	154
Annual US household spending on clothin for women	r=0.63	23yrs	154
Visitors to Disneyland	r=0.83	15yrs	150
US household spending on other household products	r=-0.76	23yrs	150
Home Run Count for the Texas Rangers Team	r=0.46	48yrs	148
Jet fuel used in Greece	r=0.5	43yrs	148
Number of articles Matt Levine published on Bloomberg on Wednesdays	r=0.67	10yrs	146
Visitors to SeaWorld California	r=0.76	15yrs	144
US household spending on alcoholic beverages	r=0.57	23yrs	144
US household spending on shoes	r=0.57	23yrs	144
US household spending on clothing for men	r=0.55	23yrs	142
Passenger traffic at Hartsfield-Jackson Atlanta International Airport	r=0.63	23yrs	140
US household spending on food	r=0.54	23yrs	140
US Motorcycle Manufacturing Industry Revenue	r=0.75	12yrs	138
The number of bartenders in Pennsylvania	r=0.65	20yrs	135
Median Weekly Earnings of Self-Employed Workers in the UK	r=0.72	11yrs	132
The number of movies Jonah Hill appeared in	r=0.45	20yrs	131
Number of games won by Miami Marlins in the National League (East Division)	r=0.65	30yrs	128
US Employment Rate	r=0.52	33yrs	127
Popularity of the first name Moesha	r=0.47	19yrs	124
The number of movies Jennifer Lawrence appeared in	r=0.48	16yrs	122
Number of times Garfield eats lasagna in his comic strip	r=0.54	11yrs	122
How professional-sounding Computerphile YouTube video titles are	r=0.63	11yrs	118
Master's degrees awarded in Theology and religious vocations	r=0.53	10yrs	118
Master's degrees awarded in Visual and performing arts	r=0.5	10yrs	114
Popularity of the 'i am once again' meme	r=-0.77	18yrs	114
Bloomberg Money Stuff articles about insider trading	r=0.52	10yrs	114
Number of articles Matt Levine published on Bloomberg.com	r=0.52	10yrs	114
Popularity of the 'like a boss' meme	r=-0.76	18yrs	112
Number of articles Matt Levine published on Bloomberg on Thursdays	r=0.5	10yrs	111
Number of articles Matt Levine published on Bloomberg on Mondays	r=0.49	10yrs	110
Number of articles Matt Levine published on Bloomberg on Tuesdays	r=0.48	10yrs	108
Solar power generated in Central African Republic	r=0.74	8yrs	106
The number of dining room and cafeteria attendants in Pennsylvania	r=0.65	20yrs	104
How professional-sounding Vihart's YouTube video titles are	r=0.55	15yrs	100
Gasoline pumped in Germany, West	r=0.72	11yrs	94
The number of movies Adam Driver appeared in	r=0.49	14yrs	91
The number of hosts and hostesses in restaurants in Pennsylvania	r=0.63	20yrs	90
US household spending on clothing	r=0.53	23yrs	88
How nerdy OverSimplified YouTube video titles are	r=0.65	7yrs	86
Bachelor's degrees awarded in Theology and religious vocations	r=0.48	10yrs	81
LeBron James' field goal count	r=0.56	20yrs	80
The number of janitors and cleaners in Pennsylvania	r=0.62	20yrs	79
US household spending on clothin for women	r=0.49	23yrs	77
Fossil fuel use in Germany	r=0.51	31yrs	75
How professional-sounding LockPickingLawyer YouTube video titles are	r=0.62	9yrs	74
Bachelor's degrees awarded in consumer sciences	r=0.47	10yrs	70
The number of electricians in Pennsylvania	r=0.61	20yrs	68
US Tobacco Production	r=0.51	23yrs	66
Total number of batters faced by Joe Nathan	r=0.56	18yrs	65
US household spending on processed vegetables	r=-0.7	23yrs	64
Fossil fuel use in Czechia	r=0.49	29yrs	60
Master's degrees awarded in Architecture	r=0.46	10yrs	58
How geeky OverSimplified YouTube video titles are	r=0.57	7yrs	54
The number of blender tenders in Pennsylvania	r=0.58	20yrs	53
Ronaldo de Assis Moreira's Club Match Goal Tally	r=0.52	17yrs	48
How clickbait-y Numberphile YouTube video titles are	r=0.52	13yrs	43
The number of salespeople in Pennsylvania	r=0.56	20yrs	40
The number of cashiers in Pennsylvania	r=0.56	20yrs	30
How nerdy Numberphile YouTube video titles are	r=0.49	13yrs	28
The number of automotive service technicians and mechanics in Pennsylvania	r=0.55	20yrs	18
How geeky Technology Connections YouTube video titles are	r=0.51	9yrs	18
The number of upholsterers in Pennsylvania	r=0.55	20yrs	8
How professional-sounding CGP Grey YouTube video titles are	r=0.49	13yrs	8
How geeky Deep Look YouTube video titles are	r=0.51	10yrs	-2
The number of laundry and dry-cleaning workers in Pennsylvania	r=0.54	20yrs	-3
How nerdy Computerphile YouTube video titles are	r=-0.82	11yrs	-15
The number of lifeguards and ski patrol in Pennsylvania	r=0.51	19yrs	-18
How good MinuteEarth YouTube video titles are	r=0.46	11yrs	-28
The number of retail salespersons in Pennsylvania	r=0.5	20yrs	-29
How clickbait-y SciShow Space YouTube video titles are	r=0.46	10yrs	-39
The number of fence erectors in Pennsylvania	r=0.49	20yrs	-40
The number of maintenance and repair workers in Pennsylvania	r=0.49	20yrs	-50
How 'hip and with it' Vihart's YouTube video titles are	r=-0.72	15yrs	-51
The number of database administrators in Pennsylvania	r=0.49	18yrs	-62
The number of dishwashers in Pennsylvania	r=0.48	20yrs	-72

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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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