Top variables that correlate with Movie Releases in the US & Canada

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Data source: Statista
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Movie Releases in the US & Canada correlates with...

Variable	Correlation	Years	Has img?
US hotel industry's revenue per available room	r=0.97	14yrs	No
The number of librarians in South Dakota	r=0.95	16yrs	No
Visitors to Disney Worlds Magic Kingdom	r=0.92	15yrs	No
Number of websites on the internet	r=0.9	28yrs	Yes!
Jet fuel used in Thailand	r=0.83	42yrs	No
Jet fuel used in Finland	r=0.82	43yrs	Yes!
Jet fuel used in Australia	r=0.81	43yrs	No
Total budget of Marvel comic-based films released	r=0.73	35yrs	No
UFO sightings in New Mexico	r=0.69	42yrs	No
Wins for the Chicago Cubs	r=0.57	43yrs	No

Movie Releases in the US & Canada also correlates with...

Variable	Correlation	Years	Sys. Score
The number of waiters and waitresses in New York	r=0.95	20yrs	388
Number of International Tourist Arrivals Worldwide	r=0.93	28yrs	384
Number of internet users	r=0.92	24yrs	381
The number of housekeepers in Nevada	r=0.91	20yrs	354
Passenger traffic at Hartsfield-Jackson Atlanta International Airport	r=0.86	23yrs	344
The number of waiters and waitresses in Virginia	r=0.92	20yrs	324
The number of waiters and waitresses in California	r=0.91	20yrs	312
Visitors to Disneyland	r=0.88	15yrs	303
The number of waiters and waitresses in Maine	r=0.91	20yrs	302
US production of cream products	r=0.93	7yrs	298
US dairy skim solids used to produce cream products	r=0.93	7yrs	296
The number of biochemists and biophysicists in Maine	r=0.93	16yrs	292
The number of waiters and waitresses in Colorado	r=0.9	20yrs	281
The number of hotel desk clerks in New Hampshire	r=0.9	20yrs	271
The number of waiters and waitresses in Oregon	r=0.9	20yrs	261
The number of childcare workers in Connecticut	r=0.93	13yrs	248
The number of first-line retail sales supervisors in New York	r=0.93	13yrs	238
Popularity of the first name Elise	r=0.77	43yrs	238
Patents granted in the US	r=0.69	41yrs	233
Number of Miss World delegates	r=0.73	42yrs	232
Automotive recalls issued by Honda	r=0.69	43yrs	232
Number of public school students in Kindergarten	r=0.77	33yrs	232
Popularity of the first name Alessandra	r=0.73	43yrs	232
Popularity of the first name Jamison	r=0.73	43yrs	232
Patents granted in the US	r=0.69	41yrs	230
Total number of live births in Australia	r=0.67	43yrs	224
Number of public school students in 3rd grade	r=0.7	33yrs	222
Annual count of part-time employees in the United States	r=0.7	33yrs	219
US Annual Tax Revenue	r=0.63	42yrs	218
USA Population	r=0.62	43yrs	217
Ticket sales for Chicago Cubs games	r=0.75	40yrs	215
UFO sightings in Montana	r=0.69	42yrs	214
UFO sightings in Rhode Island	r=0.69	42yrs	214
Jet fuel used in Philippines	r=0.82	42yrs	214
Ticket sales for Boston Red Sox games	r=0.71	40yrs	209
Air quality in Corpus Christi, Texas	r=0.67	43yrs	208
Air quality in Youngstown, Ohio	r=0.67	43yrs	208
Air quality in Williston, North Dakota	r=0.73	34yrs	208
Ticket sales for Milwaukee Brewers games	r=0.69	40yrs	206
Jet fuel used in Saudi Arabia	r=0.82	42yrs	204
The number of salespeople in New York	r=0.9	20yrs	201
Popularity of the first name Bronson	r=0.72	43yrs	200
Jet fuel used in Singapore	r=0.82	42yrs	194
The number of waiters and waitresses in New Mexico	r=0.89	20yrs	190
Popularity of the first name Abram	r=0.72	43yrs	190
Jet fuel used in Indonesia	r=0.81	42yrs	183
UFO sightings in Georgia	r=0.68	42yrs	182
The number of retail salespersons in New York	r=0.89	20yrs	180
Popularity of the first name Audrey	r=0.71	43yrs	179
Air quality in Miami	r=0.64	43yrs	176
Kerosene used in Saudi Arabia	r=0.81	42yrs	173
UFO sightings in Mississippi	r=0.68	42yrs	172
Popularity of the first name Fiona	r=0.71	43yrs	169
The number of cashiers in Maryland	r=0.88	20yrs	168
Air quality in Williston, North Dakota	r=0.72	34yrs	166
Jet fuel used in Sri Lanka	r=0.81	42yrs	163
UFO sightings in South Dakota	r=0.68	42yrs	162
Popularity of the first name Lydia	r=0.7	43yrs	158
The number of bakers in Nevada	r=0.88	20yrs	158
Jet fuel used globally	r=0.8	42yrs	152
UFO sightings in North Carolina	r=0.67	42yrs	151
Popularity of the first name Abraham	r=0.7	43yrs	148
The number of dentists in New York	r=0.87	19yrs	147
Jet fuel used in Jordan	r=0.8	42yrs	142
UFO sightings in Virginia	r=0.67	42yrs	141
Popularity of the first name Aubrey	r=0.7	43yrs	138
The number of waiters and waitresses in Louisiana	r=0.87	20yrs	136
Jet fuel used in Norway	r=0.79	43yrs	131
UFO sightings in Florida	r=0.66	42yrs	130
Popularity of the first name Carter	r=0.7	43yrs	128
The number of dental hygienists in Michigan	r=0.87	20yrs	126
Jet fuel used in Portugal	r=0.79	43yrs	121
UFO sightings in Tennessee	r=0.66	42yrs	120
Popularity of the first name Bryson	r=0.7	43yrs	118
UFO sightings in Maryland	r=0.66	42yrs	110
Jet fuel used in Austria	r=0.78	43yrs	110
Popularity of the first name Corbin	r=0.7	43yrs	108
UFO sightings in North Dakota	r=0.66	42yrs	100
Jet fuel used in Brazil	r=0.79	42yrs	100
Popularity of the first name Aubree	r=0.7	43yrs	98
Jet fuel used in India	r=0.79	42yrs	90
Popularity of the first name Branson	r=0.7	43yrs	88
UFO sightings in Alaska	r=0.64	42yrs	86
Gasoline pumped in Kuwait	r=0.79	42yrs	80
Popularity of the first name Avery	r=0.69	43yrs	76
Jet fuel used in Mauritius	r=0.79	42yrs	70
Popularity of the first name Emmanuel	r=0.69	43yrs	66
Jet fuel used in Germany	r=0.84	32yrs	58
Popularity of the first name Braxton	r=0.69	43yrs	56
Jet fuel used in New Zealand	r=0.77	43yrs	48
Popularity of the first name Annabelle	r=0.69	43yrs	46
Popularity of the first name Mckinley	r=0.69	43yrs	36

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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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