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Data source: Baseball-Reference.com
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Runs scored by the Chicago White Sox correlates with...

VariableCorrelationYearsHas img?
Liquefied petroleum gas used in Central African Republicr=0.8914yrsNo
Gasoline pumped in Luxembourgr=0.6143yrsNo
Petroluem consumption in Greecer=0.5543yrsNo
British Open Golf Championship winner's scorer=0.5348yrsNo
Milk consumptionr=0.4532yrsNo
Google searches for 'how to cut own hair'r=-0.8220yrsNo



Runs scored by the Chicago White Sox also correlates with...

VariableCorrelationYearsSys. Score
Total Runs Scored by Chicago Cubs Team in National League (Central and East Division)r=0.7348yrs238
Popularity of the first name Alexisr=0.648yrs238
Popularity of the first name Enriquer=0.648yrs238
Popularity of the first name Sidneyr=0.648yrs238
Gasoline pumped in Portugalr=0.6243yrs216
Popularity of the first name Keelyr=0.648yrs208
US household spending on clothing for menr=0.7623yrs208
US household spending on clothingr=0.7423yrs205
US household spending on clothin for womenr=0.7223yrs202
Popularity of the first name Devenr=0.648yrs198
Geothermal power generated in Austriar=0.817yrs190
Popularity of the first name Jacquelinr=0.648yrs188
New York Yankees' victoriesr=0.5748yrs184
US Employment Rater=0.6733yrs184
Global Per Capita Rice Consumptionr=0.7520yrs184
US household spending on personal care products and servicesr=0.7123yrs180
Home Run Count for the Texas Rangers Teamr=0.5348yrs178
Brick cheese consumptionr=0.6127yrs177
Processed cheese consumptionr=0.6127yrs177
Popularity of the first name Juliar=0.5948yrs176
Sherbet consumptionr=0.5732yrs176
US household spending on foodr=0.6823yrs176
The number of movies Drew Barrymore appeared inr=0.4846yrs176
US household spending on shoesr=0.6523yrs172
Popularity of the first name Gerardor=0.5948yrs166
How cool Technology Connections YouTube video titles arer=0.779yrs166
NCAA Men's Skiing champion's pointsr=0.5248yrs157
Gasoline pumped in Denmarkr=0.6243yrs156
Associates degrees awarded in Dental assistingr=0.711yrs154
Physical album shipment volume in the United Statesr=0.6524yrs152
U.S. intercountry adoptionsr=0.6523yrs152
How professional-sounding Technology Connections YouTube video titles arer=0.679yrs152
Total value of all $1 bills printedr=0.5233yrs152
Per capita consumption of margariner=0.7210yrs151
GMO use in corn grown in Illinoisr=0.5624yrs150
GMO use in cottonr=0.5923yrs150
US household spending on floor coveringsr=0.6123yrs150
US household spending on prescription drugsr=0.6123yrs150
US household spending on booksr=0.6123yrs150
The number of movies Zendaya appeared inr=0.6213yrs150
US household spending on alcoholic beveragesr=0.623yrs149
How professional-sounding Vihart's YouTube video titles arer=0.6115yrs148
Grocery store spend in Illinoisr=-0.7324yrs146
Asthma attacks in American childrenr=0.723yrs144
US average milk-fat content of frozen dairy productsr=0.6722yrs140
The marriage rate in Illinoisr=0.7123yrs140
GMO use in cottonr=0.4923yrs136
Kerosene used in Malawir=0.6142yrs133
US average milk-fat content of cottage cheeser=0.6622yrs129
Detroit Tigers' number of lost games in a specific season of the American Leaguer=0.5248yrs127
Popularity of the first name Marcor=0.5948yrs126
Nuclear power generation in Germanyr=0.6631yrs122
US average dairy skim-solid content of cheese (other than cottage cheese)r=0.6622yrs119
Popularity of the first name Quentinr=0.5948yrs116
Petroluem consumption in Portugalr=0.643yrs112
Number of games won by Miami Marlins in the National League (East Division)r=0.6130yrs112
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.6522yrs108
Popularity of the first name Brendenr=0.5948yrs106
GMO use in cottonr=0.4923yrs106
Fossil fuel use in Macaur=0.5742yrs100
Popularity of the first name Justynr=0.5948yrs96
Annual US household spending on clothin for womenr=0.5823yrs96
US household spending on processed fruitsr=0.5823yrs91
Kerosene used in Nepalr=0.5842yrs88
Ice cream consumptionr=0.5532yrs88
Popularity of the first name Kearar=0.5948yrs86
US household spending on fresh milk and creamr=0.5623yrs83
US household spending on laundry and cleaning suppliesr=0.5623yrs78
Kerosene used in Indiar=0.5742yrs77
Popularity of the first name Annar=0.5848yrs74
US household spending on transportationr=0.5623yrs73
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.6422yrs71
US household spending on vehicle insurancer=0.5623yrs68
Gasoline pumped in Sloveniar=0.6431yrs66
Popularity of the first name Destinyr=0.5848yrs64
US household spending on tobacco products and smoking suppliesr=0.5623yrs63
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.6322yrs60
US household spending on postage and stationeryr=0.5523yrs57
Kerosene used in South Korear=0.5643yrs56
Popularity of the first name Isiahr=0.5848yrs54
US household spending on beefr=0.5323yrs48
Portion of all US dairy skim-solids allocated to the production of cottage cheeser=0.6122yrs46
Popularity of the first name Yasminer=0.5848yrs44
Annual US household spending on floor coveringsr=0.5223yrs42
Annual US household spending on clothingr=0.5223yrs37
Popularity of the first name Destineyr=0.5848yrs34
Annual US household spending on clothing for menr=0.5223yrs32
Fossil fuel use in Czechiar=0.6529yrs29
Popularity of the first name Vanesar=0.5848yrs24
Gasoline pumped in Croatiar=0.6530yrs17
Popularity of the first name Sydnir=0.5848yrs14
Electricity generation in U.S. Virgin Islandsr=0.5442yrs6
Fossil fuel use in U.S. Virgin Islandsr=0.5442yrs-4
Kerosene used in Burkina Fasor=0.5642yrs-14
Jet fuel used in Uzbekistanr=0.6430yrs-24


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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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