← Discover a correlation

Data source: Caclculated using Astropy
Additional Info: ^{See full details} 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 the Sun correlates with...

Variable	Correlation	Years	Has img?
US birth rates of triplets or more	r=0.99	20yrs	No
Popularity of the first name John	r=0.99	48yrs	No
Arson in United States	r=0.99	38yrs	No
Popularity of the first name Steve	r=0.98	48yrs	No
Popularity of the first name Michael	r=0.98	48yrs	No
Popularity of the first name David	r=0.98	48yrs	No
Cigarette Smoking Rate for US adults	r=0.97	21yrs	No
Burglaries in Florida	r=0.97	38yrs	No
Popularity of the first name William	r=0.97	48yrs	No
Burglaries in Wyoming	r=0.97	38yrs	No
Popularity of the first name Robert	r=0.97	48yrs	No
The marriage rate in Arkansas	r=0.97	23yrs	No
Burglary rates in the US	r=0.97	38yrs	Yes!
The marriage rate in Alabama	r=0.97	23yrs	No
The marriage rate in South Dakota	r=0.97	23yrs	No
Popularity of the first name Andrea	r=0.96	48yrs	Yes!
Burglaries in Kansas	r=0.96	38yrs	No
Air pollution in Oxnard, California	r=0.96	44yrs	Yes!
Popularity of the first name Thomas	r=0.96	48yrs	No
The divorce rate in Alabama	r=0.96	23yrs	No
Popularity of the first name Mark	r=0.96	48yrs	No
The divorce rate in Florida	r=0.96	23yrs	No
Viewership count for Days of Our Lives	r=0.96	47yrs	Yes!
Popularity of the first name Kevin	r=0.96	48yrs	No
The divorce rate in Tennessee	r=0.96	23yrs	No
The divorce rate in Oregon	r=0.96	23yrs	No
Burglaries in Nevada	r=0.96	38yrs	Yes!
Arson in Oklahoma	r=0.95	38yrs	Yes!
Burglaries in Missouri	r=0.95	38yrs	No
Popularity of the first name Gregory	r=0.95	48yrs	No
Pirate attacks globally	r=0.95	14yrs	No
The divorce rate in Maine	r=0.95	23yrs	No
Per capita consumption of margarine	r=0.94	10yrs	No
Arson in Washington	r=0.93	38yrs	Yes!
The marriage rate in Louisiana	r=0.93	23yrs	No
Air pollution in Washington, D.C.	r=0.93	44yrs	Yes!
Kerosene used in Peru	r=0.93	42yrs	No
Burglaries in Vermont	r=0.93	38yrs	Yes!
Popularity of the first name Antoine	r=0.93	48yrs	No
Air pollution in San Diego, California	r=0.93	44yrs	No
Air pollution in New York City	r=0.92	44yrs	Yes!
Air pollution in New York City	r=0.92	44yrs	Yes!
Motor vehicle thefts in Florida	r=0.92	38yrs	No
Motor vehicle thefts	r=0.91	38yrs	No
Air pollution in New York City	r=0.91	44yrs	No
Arson in Rhode Island	r=0.9	38yrs	Yes!
Google searches for 'report UFO sighting'	r=0.9	20yrs	No
NASA's budget as a percentage of the total US Federal Budget	r=0.9	49yrs	Yes!
Violent crime rates	r=0.89	38yrs	No
Burglaries in Indiana	r=0.89	38yrs	Yes!
Popularity of the first name Ryan	r=0.87	48yrs	No
Popularity of the first name George	r=0.85	48yrs	No
The number of carpet installers in Arizona	r=0.85	20yrs	No
Air pollution in Dallas	r=0.8	44yrs	Yes!
Arson in New Hampshire	r=0.78	38yrs	No
Air pollution in Akron, Ohio	r=0.72	44yrs	No
Fossil fuel use in Sweden	r=0.64	42yrs	No
Google searches for 'why isnt 11 pronounced onety one'	r=0.63	19yrs	No
The number of movies Nicolas Cage appeared in	r=-0.64	44yrs	No

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The distance between Neptune and the Sun also correlates with...

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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.)