Top variables that correlate with Runs scored by the Houston Astros

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Data source: Baseball-Reference.com
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Runs scored by the Houston Astros correlates with...

Variable	Correlation	Years	Has img?
Car crashes in the US	r=0.59	24yrs	No
Unemployment in the US	r=-0.65	48yrs	No
Unemployment Rate in the United States	r=-0.71	33yrs	No

Runs scored by the Houston Astros also correlates with...

Variable	Correlation	Years	Sys. Score
Per capita consumption of margarine	r=0.91	10yrs	330
Total Runs Scored by Chicago Cubs Team in National League (Central and East Division)	r=0.81	48yrs	250
Popularity of the first name Serena	r=0.62	48yrs	240
Detroit Tigers' number of lost games in a specific season of the American League	r=0.69	48yrs	232
New York Yankees' victories	r=0.68	48yrs	231
Home Run Count for the Texas Rangers Team	r=0.67	48yrs	230
Jet fuel used in United States	r=0.66	43yrs	222
Jet fuel used in Greece	r=0.64	43yrs	218
Popularity of the first name Hope	r=0.56	48yrs	202
Popularity of the first name Caroline	r=0.54	48yrs	198
Number of Miss World delegates	r=0.54	47yrs	179
Annual US household spending on clothing for men	r=0.7	23yrs	179
Petroluem consumption in Iceland	r=0.56	43yrs	176
The number of movies Alfre Woodard appeared in	r=0.48	46yrs	176
Annual US household spending on clothing	r=0.66	23yrs	173
How provocative LEMMiNO YouTube video titles are	r=0.79	12yrs	172
Popularity of the first name Chandler	r=0.54	48yrs	168
How 'hip and with it' Vihart's YouTube video titles are	r=-0.88	15yrs	160
How cool Technology Connections YouTube video titles are	r=0.73	9yrs	160
Popularity of the first name Yasmine	r=0.54	48yrs	158
The number of movies Ian Holm appeared in	r=0.5	39yrs	158
The number of movies Timothee Chalamet appeared in	r=0.65	16yrs	157
US household spending on personal care products and services	r=0.64	23yrs	155
Miss World's Age	r=0.48	48yrs	151
Annual growth rate of US Real GDP	r=0.57	33yrs	150
Processed cheese consumption	r=0.53	27yrs	150
Popularity of the first name Montana	r=0.54	48yrs	148
US household spending on food	r=0.59	23yrs	148
Median Weekly Earnings of Self-Employed Workers in the UK	r=0.81	11yrs	146
US household spending on public transportation	r=0.55	23yrs	142
Annual US household spending on clothin for women	r=0.54	23yrs	140
Popularity of the first name Duncan	r=0.54	48yrs	138
UK Public Library Count	r=0.75	12yrs	138
Number of Automotive Franchise Establishments in the US	r=0.77	8yrs	136
Popularity of the 'like a boss' meme	r=-0.79	18yrs	136
US household spending on alcoholic beverages	r=0.5	23yrs	134
Organic Food Sales Volume in the United States	r=-0.91	13yrs	132
Automotive recalls for issues with Suspension	r=0.49	48yrs	132
Automotive recalls for issues with Trailer Hitches	r=0.49	48yrs	132
Popularity of the first name Tariq	r=0.54	48yrs	128
US household spending on furniture	r=0.46	23yrs	128
US household spending on shoes	r=0.46	23yrs	128
Petroluem consumption in United States	r=0.53	48yrs	127
Associates degrees awarded in Military technologies	r=0.59	11yrs	127
The number of movies Charlize Theron appeared in	r=0.55	29yrs	125
Global revenue of Samsonite	r=0.6	16yrs	122
How provocative Numberphile YouTube video titles are	r=0.64	13yrs	121
British Open Golf Championship winner's score	r=0.47	48yrs	120
Popularity of the first name Stone	r=0.55	45yrs	117
Electricity generation in Jamaica	r=0.54	42yrs	116
The number of movies Naomi Watts appeared in	r=0.48	38yrs	114
How fun Computerphile YouTube video titles are	r=0.64	11yrs	109
Kerosene used in South Africa	r=0.56	42yrs	106
The number of movies Jason Momoa appeared in	r=0.54	21yrs	96
How clickbait-y Numberphile YouTube video titles are	r=0.6	13yrs	95
Jet fuel used in Argentina	r=0.55	42yrs	94
Popularity of the first name Jalen	r=0.54	47yrs	88
Jet fuel used in Japan	r=0.53	43yrs	82
The number of movies Adam Driver appeared in	r=0.56	14yrs	82
How provocative AsapSCIENCE YouTube video titles are	r=0.58	12yrs	81
Annual book sales in the US	r=0.68	11yrs	78
Popularity of the first name Bailey	r=0.53	48yrs	77
Petroluem consumption in Portugal	r=0.53	43yrs	72
US Motorcycle Manufacturing Industry Revenue	r=0.68	12yrs	72
Popularity of the first name Cassidy	r=0.53	48yrs	67
US Employment Rate	r=0.51	33yrs	66
Jet fuel used in Switzerland	r=0.53	43yrs	62
The number of movies Tessa Thompson appeared in	r=0.47	18yrs	62
How professional-sounding Technology Connections YouTube video titles are	r=0.59	9yrs	60
Popularity of the first name Nia	r=0.53	48yrs	57
UK Music Album Sales	r=0.63	14yrs	54
Geothermal power generated in Japan	r=0.51	42yrs	51
How nerdy Vihart's YouTube video titles are	r=-0.76	15yrs	48
Popularity of the first name Hunter	r=0.52	48yrs	46
The number of movies Zendaya appeared in	r=0.5	13yrs	42
Jet fuel used in Barbados	r=0.53	42yrs	41
Average views of Mark Rober YouTube videos	r=0.55	13yrs	38
Popularity of the first name Tamia	r=0.52	48yrs	36
Petroluem consumption in Central African Republic	r=0.53	42yrs	31
How fun 'Be Smart' science YouTube video titles are	r=0.57	11yrs	28
Popularity of the first name Esperanza	r=0.52	48yrs	26
Gasoline pumped in Dominica	r=0.53	42yrs	21
How professional-sounding Computerphile YouTube video titles are	r=0.57	11yrs	18
Popularity of the first name Dawson	r=0.52	48yrs	16
Jet fuel used in Malta	r=0.53	42yrs	11
Popularity of the first name Jewel	r=0.52	48yrs	6
How geeky minutephysics YouTube video titles are	r=0.54	13yrs	6
Fossil fuel use in Macau	r=0.5	42yrs	0
Popularity of the first name Dejah	r=0.53	46yrs	-5
How nerdy Deep Look YouTube video titles are	r=0.55	10yrs	-6
Kerosene used in Mozambique	r=0.52	42yrs	-10
Popularity of the first name Sydney	r=0.51	48yrs	-16
How geeky Deep Look YouTube video titles are	r=0.54	10yrs	-17
Petroluem consumption in Philippines	r=0.52	42yrs	-20
How 'hip and with it' Mark Rober YouTube video titles are	r=0.51	13yrs	-28
Jet fuel used in Italy	r=0.51	43yrs	-31
How geeky 'Be Smart' science YouTube video titles are	r=0.52	11yrs	-39
Jet fuel used in Mexico	r=0.51	43yrs	-41

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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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