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Data source: Caclculated using Astropy
Additional Info: I wrote a Python script using Astropy to calculate the distance between the named planets on the first day of each month for every year.

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The distance between Neptune and Venus correlates with...

VariableCorrelationYearsHas img?
NASA's budget as a percentage of the total US Federal Budgetr=0.749yrsNo
The wind speed in Milwaukeer=0.740yrsNo



The distance between Neptune and Venus also correlates with...

VariableCorrelationYearsSys. Score
Viewership count for Days of Our Livesr=0.7747yrs248
Arson in United Statesr=0.7238yrs234
Burglary rates in the USr=0.738yrs232
Gasoline pumped in Francer=0.7343yrs232
Kerosene used in Perur=0.7342yrs231
Kerosene used in Uruguayr=0.7342yrs231
Robberies in the USr=0.6738yrs227
Popularity of the first name Renaer=0.7948yrs226
Remaining Forest Cover in the Brazilian Amazonr=0.6836yrs225
Popularity of the first name Raymondr=0.7848yrs224
Popularity of the first name Olgar=0.7848yrs224
Automotive recalls issued by Nissan North Americar=-0.7448yrs208
The wind speed in Austinr=0.7139yrs208
Average number of milk cows in the United Statesr=0.5943yrs206
Total number of automotive recallsr=-0.7648yrs206
Air pollution in New York Cityr=0.7744yrs206
Air pollution in Philadelphia, Pennsylvaniar=0.7844yrs205
Automotive recalls issued by Hondar=-0.748yrs204
Air pollution in Philadelphia, Pennsylvaniar=0.7744yrs204
The wind speed in Nashviller=0.6840yrs204
Average milk produced per cow in the USr=-0.7643yrs203
Kerosene used globallyr=0.7242yrs200
Automotive recalls for issues with the Power Trainr=-0.6948yrs198
Automotive recalls for issues with the Electrical Systemr=-0.6848yrs197
Popularity of the first name Erichr=0.7848yrs194
Motor vehicle theftsr=0.6538yrs194
Automotive recalls for issues with Suspensionr=-0.6548yrs194
Automotive recalls issued by BMW of North Americar=-0.6247yrs194
Automotive recalls for issues with Exterior Lightingr=-0.6248yrs191
Kerosene used in United Statesr=0.7243yrs190
Automotive recalls for issues with the Seatsr=-0.5948yrs188
Highest Nielsen rating for a TV show each yearr=0.646yrs187
USA Populationr=-0.7848yrs187
US Annual Tax Revenuer=-0.7947yrs187
Patents granted in the USr=-0.7146yrs186
Popularity of the first name Johnr=0.7748yrs183
Gasoline pumped in Austriar=0.743yrs178
Arson in New Jerseyr=0.7338yrs176
Popularity of the first name Maryr=0.7748yrs173
Air pollution in Washington, D.C.r=0.7444yrs172
Kerosene used in Brazilr=0.7142yrs168
Arson in Californiar=0.7338yrs166
Popularity of the first name Kennethr=0.7748yrs163
Air pollution in Baltimore, Marylandr=0.7544yrs160
Petroluem consumption in Denmarkr=0.743yrs158
Motor vehicle thefts in Mainer=0.7338yrs156
Popularity of the first name Cynthiar=0.7748yrs153
Air pollution in Baltimore, Marylandr=0.7544yrs150
Kerosene used in Madagascarr=0.7142yrs148
Burglaries in Marylandr=0.7238yrs144
Popularity of the first name Veronicar=0.7748yrs143
Air pollution in Oxnard, Californiar=0.7544yrs140
Kerosene used in Norwayr=0.743yrs138
Burglaries in Virginiar=0.7238yrs134
Popularity of the first name Frankr=0.7748yrs133
Air pollution in Washington, D.C.r=0.7344yrs130
Kerosene used in Thailandr=0.7142yrs128
Motor vehicle thefts in Michiganr=0.7238yrs124
Popularity of the first name Nancyr=0.7748yrs123
Air pollution in Allentownr=0.7244yrs119
Kerosene used in Cubar=0.742yrs116
Popularity of the first name Bridgetr=0.7748yrs113
Arson in Marylandr=0.7138yrs113
Air pollution in Atlantic City, New Jerseyr=0.7444yrs109
Kerosene used in Egyptr=0.742yrs106
Popularity of the first name Albertr=0.7748yrs103
Arson in Tennesseer=0.7138yrs103
Air pollution in Los Angelesr=0.7144yrs98
Kerosene used in Turkiyer=0.6943yrs96
Popularity of the first name Marcr=0.7748yrs93
Arson in Texasr=0.7138yrs93
Air pollution in Los Angelesr=0.7144yrs88
Kerosene used in Argentinar=0.6942yrs85
Popularity of the first name Carolynr=0.7748yrs83
Burglaries in Illinoisr=0.7138yrs83
Air pollution in Portland, Mainer=0.7443yrs78
Gasoline pumped in Bulgariar=0.6942yrs75
Popularity of the first name Darrenr=0.7748yrs73
Burglaries in Arizonar=0.7138yrs73
Air pollution in Houstonr=0.744yrs66
Kerosene used in Nicaraguar=0.6942yrs65
Popularity of the first name Michealr=0.7748yrs63
Burglaries in New Jerseyr=0.7138yrs63
Air pollution in New York Cityr=0.744yrs56
Gasoline pumped in Cubar=0.6842yrs54
Popularity of the first name Eddier=0.7748yrs53
Motor vehicle thefts in Illinoisr=0.7138yrs53
Air pollution in New York Cityr=0.744yrs46
Popularity of the first name Tonir=0.7748yrs43
Gasoline pumped in Belgiumr=0.6743yrs43
Robberies in Michiganr=0.7138yrs43
Air pollution in San Diego, Californiar=0.7244yrs36
Popularity of the first name Stever=0.7748yrs33
Fossil fuel use in Sierra Leoner=0.6542yrs32
Arson in Nevadar=0.738yrs32
Air pollution in Scranton, Pennsylvaniar=0.7244yrs26
Arson in Colorador=0.738yrs22
Air pollution in Trenton, New Jerseyr=0.7244yrs16
Air pollution in Akron, Ohior=0.7144yrs4


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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.)
Error :(