Top variables that correlate with The number of bridge and lock tenders in Pennsylvania

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Data source: Bureau of Larbor Statistics
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The number of bridge and lock tenders in Pennsylvania correlates with...

Variable	Correlation	Years	Sys. Score
Number of edits to the Wikipedia article for Arnold Schwarzenegger	r=0.92	19yrs	378
Number of edits to the Wikipedia article for Thomas Edison	r=0.9	19yrs	374
Sumitomo Mitsui Financial Group's stock price (SMFG)	r=0.91	18yrs	369
Popularity of the 'all your base' meme	r=0.89	16yrs	343
Number of edits to the Wikipedia article for Britney Spears	r=0.86	19yrs	338
Popularity of the first name Anahi	r=0.89	19yrs	337
Popularity of the first name Julissa	r=0.89	19yrs	337
Popularity of the first name Diego	r=0.89	19yrs	337
UBS Group AG's stock price (UBS)	r=0.88	19yrs	337
Barclays' stock price (BCS)	r=0.87	19yrs	336
Fossil fuel use in New Zealand	r=0.85	19yrs	334
Number of edits to the Wikipedia article for Thanksgiving	r=0.87	15yrs	306
Popularity of the first name Haylie	r=0.88	19yrs	306
Popularity of the first name Flor	r=0.88	19yrs	296
Popularity of the first name Andres	r=0.87	19yrs	284
Popularity of the first name Fatima	r=0.87	19yrs	274
The average number of likes on Casually Explained YouTube videos	r=0.86	7yrs	263
Popularity of the first name Savanna	r=0.86	19yrs	262
Highway diesel consumption in US	r=0.88	9yrs	259
Popularity of the first name Maggie	r=0.86	19yrs	252
Popularity of the first name Dulce	r=0.86	19yrs	242
Popularity of the first name Damaris	r=0.86	19yrs	232
Gasoline pumped in Latvia	r=0.84	19yrs	224
Petroluem consumption in Jamaica	r=0.83	19yrs	223
Popularity of the first name Stacie	r=0.86	19yrs	222
Popularity of the first name Chelsi	r=0.86	19yrs	212
Popularity of the first name Rhianna	r=0.86	19yrs	202
Sherbet consumption	r=0.82	19yrs	200
Robberies in Pennsylvania	r=0.8	19yrs	198
Lloyds Banking Group's stock price (LYG)	r=0.85	19yrs	198
Violent crime rates	r=0.79	19yrs	196
Number of edits to the Wikipedia article for Zeus	r=0.8	19yrs	194
Total value of all $1 bills printed	r=0.79	19yrs	193
Number of edits to the Wikipedia article for Alexander Hamilton	r=0.79	19yrs	193
Air pollution in Philadelphia, Pennsylvania	r=0.8	19yrs	193
Petroluem consumption in Netherlands	r=0.83	19yrs	193
Number of edits to the Wikipedia article for Charles III	r=0.78	19yrs	192
Air pollution in Harrisburg, Pennsylvania	r=0.79	19yrs	192
Google searches for 't-rex'	r=0.81	18yrs	192
Popularity of the first name Jocelyne	r=0.85	19yrs	191
Number of edits to the Wikipedia article for Tetris	r=0.77	19yrs	190
US household spending on mortgage interest and charges	r=0.78	19yrs	187
ING Groep's stock price (ING)	r=0.84	19yrs	186
Popularity of the first name Deshaun	r=0.85	19yrs	181
Citigroup's stock price (C)	r=0.83	19yrs	174
Arson in United States	r=0.77	19yrs	173
Air pollution in Pittsburgh	r=0.77	19yrs	172
Ice cream consumption	r=0.76	19yrs	172
Number of edits to the Wikipedia article for Pluto	r=0.77	19yrs	170
Number of edits to the Wikipedia article for Nikola Tesla	r=0.76	19yrs	168
xkcd comics published about romance	r=0.76	15yrs	166
Annual US household spending on mortgage interest and charges	r=0.77	19yrs	166
Cottage cheese consumption	r=0.72	19yrs	166
Worldwide revenue from Harley Davidson motorcycles	r=0.85	11yrs	166
US Biomass Energy Production	r=-0.89	16yrs	166
Viewership count of American Idol Season Finale	r=0.74	19yrs	166
The distance between Neptune and Mercury	r=0.75	19yrs	164
U.S. intercountry adoptions	r=0.76	19yrs	164
AIG's stock price (AIG)	r=0.83	19yrs	164
GMO use in cotton	r=0.73	19yrs	162
United States music album sales	r=0.77	15yrs	162
Fossil fuel use in Greenland	r=0.81	19yrs	153
Robberies in the US	r=0.77	19yrs	143
Fossil fuel use in Croatia	r=0.8	19yrs	142
Air pollution in Philadelphia, Pennsylvania	r=0.75	19yrs	136
Milk consumption	r=0.69	19yrs	132
Motor vehicle thefts in Pennsylvania	r=0.75	19yrs	130
Fossil fuel use in Hungary	r=0.79	19yrs	130
Air pollution in Pittsburgh	r=0.73	19yrs	126
HSBC Holdings' stock price (HSBC)	r=0.82	19yrs	123
Swiss cheese consumption	r=0.7	19yrs	122
Fossil fuel use in Spain	r=0.79	19yrs	120
Number of edits to the Wikipedia article for Hades	r=0.76	19yrs	118
Air pollution in Somerset, Pennsylvania	r=0.75	19yrs	116
Motor vehicle thefts	r=0.72	19yrs	116
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.82	19yrs	113
US production of cottage cheese	r=0.74	19yrs	111
Number of edits to the Wikipedia article for Harvard University	r=0.74	19yrs	111
Kerosene used in Central African Republic	r=0.81	19yrs	110
Number of edits to the Wikipedia article for Abraham Lincoln	r=0.73	19yrs	104
Air pollution in Gettysburg, Pennsylvania	r=0.73	19yrs	102
Arson in Pennsylvania	r=0.7	19yrs	102
Liquefied petroleum gas used in Lithuania	r=0.81	19yrs	100
Number of edits to the Wikipedia article for Benjamin Franklin	r=0.72	19yrs	97
Air pollution in St. Marys, Pennsylvania	r=0.73	19yrs	92
Jet fuel used in Saint Vincent/Grenadines	r=0.81	19yrs	90
Air pollution in State College, Pennsylvania	r=0.73	19yrs	82
Petroluem consumption in Serbia	r=0.83	16yrs	80
BP's stock price (BP)	r=0.75	19yrs	76
Petroluem consumption in Croatia	r=0.79	19yrs	67
Popularity of the first name Kyra	r=0.85	19yrs	66
Petroluem consumption in U.S. Virgin Islands	r=0.79	19yrs	57
Popularity of the first name Yazmin	r=0.85	19yrs	56
Petroluem consumption in Greece	r=0.78	19yrs	46
Popularity of the first name Omar	r=0.84	19yrs	44
Petroluem consumption in Ireland	r=0.78	19yrs	36
Popularity of the first name Kasey	r=0.84	19yrs	34
Gasoline pumped in Ireland	r=0.77	19yrs	24
Fossil fuel use in Czechia	r=0.76	19yrs	-4
Kerosene used in Cabo Verde	r=0.77	19yrs	-16
Petroluem consumption in Lebanon	r=-0.85	19yrs	-26

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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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