Top variables that correlate with Total likes of Deep Look YouTube videos

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Data source: YouTube
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Total likes of Deep Look YouTube videos correlates with...

Variable	Correlation	Years	Has img?
The number of architects in Louisiana	r=0.96	9yrs	Yes!
Points allowed by the Arizona Cardinals	r=0.87	10yrs	No
Popularity of the 'Maps Without New Zealand' meme	r=0.86	10yrs	Yes!

Total likes of Deep Look YouTube videos also correlates with...

Variable	Correlation	Years	Sys. Score
Jet fuel used in Qatar	r=0.95	8yrs	345
Swiss cheese consumption	r=0.93	8yrs	341
Popularity of the first name Leonardo	r=0.92	9yrs	332
The number of zoologists in Alabama	r=0.98	6yrs	330
Popularity of the first name Maximiliano	r=0.91	9yrs	330
Popularity of the first name Paula	r=0.9	9yrs	328
The number of paralegals in Arizona	r=0.96	7yrs	328
Fossil fuel use in Rwanda	r=0.93	8yrs	315
Petroluem consumption in Dominican Republic	r=0.94	8yrs	314
Restaurant spending in Minnesota	r=0.95	7yrs	302
Restaurant spending in Virginia	r=0.95	7yrs	302
Restaurant spending in Washington	r=0.95	7yrs	302
Total Revenue of the NFL Teams	r=0.95	7yrs	300
US Hospital Occupancy Rate	r=0.92	6yrs	295
Muenster cheese consumption	r=0.88	8yrs	288
Petroluem consumption in Sri Lanka	r=0.93	8yrs	282
Associates degrees awarded in Precision production	r=0.87	8yrs	281
The number of psychiatric aides in Alaska	r=0.95	6yrs	280
Restaurant spending in Kentucky	r=0.94	7yrs	270
Air quality in Keene, New Hampshire	r=0.86	10yrs	263
Restaurant spending in Wyoming	r=0.94	7yrs	260
Hot days in Louisville	r=0.87	10yrs	258
Fossil fuel use in Cyprus	r=0.91	8yrs	257
The number of amusement park attendants in Delaware	r=0.93	9yrs	254
Popularity of the first name Anastasia	r=0.89	9yrs	252
Restaurant spending in Colorado	r=0.93	7yrs	249
Renewable energy production in Uruguay	r=0.9	8yrs	246
The number of restaurant cooks in Indiana	r=0.93	9yrs	244
Popularity of the first name Bernardo	r=0.89	9yrs	242
Customer satisfaction with T-Mobile	r=0.87	8yrs	241
Hot days in Nashville	r=0.85	10yrs	240
Restaurant spending in Hawaii	r=0.93	7yrs	239
Jet fuel used in Ghana	r=0.92	8yrs	236
The number of bailiffs in Virginia	r=0.92	9yrs	234
Restaurant spending in Idaho	r=0.93	7yrs	229
Popularity of the first name Gwendolyn	r=0.87	9yrs	229
Jet fuel used in Vietnam	r=0.92	8yrs	226
The number of school teachers in Indiana	r=0.92	9yrs	224
Restaurant spending in Indiana	r=0.93	7yrs	219
The number of transportation workers in District of Columbia	r=0.92	9yrs	213
Restaurant spending in Maryland	r=0.93	7yrs	209
The number of salespeople in North Carolina	r=0.92	9yrs	203
Restaurant spending in New Hampshire	r=0.93	7yrs	199
The number of customer service representatives in West Virginia	r=0.92	9yrs	193
Restaurant spending in North Carolina	r=0.93	7yrs	189
The number of cashiers in Nevada	r=0.91	9yrs	182
Kerosene used in Bolivia	r=0.89	8yrs	181
Restaurant spending in Oregon	r=0.93	7yrs	179
The number of movies Lupita Nyong'o appeared in	r=0.83	10yrs	178
The number of nuclear medicine technologists in New Hampshire	r=0.91	9yrs	172
Gasoline pumped in Bolivia	r=0.88	8yrs	170
Restaurant spending in Texas	r=0.93	7yrs	169
Low-fat and nonfat ice cream products consumption	r=0.78	8yrs	168
The number of movies Gerard Butler appeared in	r=0.76	10yrs	168
The number of movies Dominic Monaghan appeared in	r=0.76	9yrs	166
Master's degrees awarded in consumer sciences	r=0.78	8yrs	164
The number of hosts and hostesses in restaurants in Tennessee	r=0.91	9yrs	162
Gasoline pumped in Colombia	r=0.88	8yrs	160
Associates degrees awarded in Liberal arts	r=0.76	8yrs	160
Google searches for 'cat memes'	r=0.73	10yrs	160
Restaurant spending in Utah	r=0.93	7yrs	159
Number of Lawyers in the United States	r=0.84	9yrs	158
The number of foundry mold and coremakers in Massachusetts	r=0.9	9yrs	150
Gasoline pumped in El Salvador	r=0.88	8yrs	150
Restaurant spending in Vermont	r=0.93	7yrs	149
The number of restaurant cooks in North Carolina	r=0.9	9yrs	140
Petroluem consumption in Mauritius	r=0.88	8yrs	140
Food spending in Idaho	r=0.94	7yrs	138
Italian-type cheese consumption	r=0.76	8yrs	136
The number of producers and directors in South Carolina	r=0.9	9yrs	130
Gasoline pumped in Vietnam	r=0.88	8yrs	130
Bachelor's degrees awarded in journalism	r=0.75	8yrs	130
Restaurant spending in Alabama	r=0.92	7yrs	128
Mozzarella cheese consumption	r=0.73	8yrs	121
The number of loan officers in Virginia	r=0.9	9yrs	120
Restaurant spending in Arizona	r=0.92	7yrs	118
Kerosene used in Falkland Islands	r=0.87	8yrs	118
Associates degrees awarded in Physical sciences	r=0.75	8yrs	118
The number of truck drivers in Missouri	r=0.9	9yrs	110
Popularity of the first name Judith	r=0.84	9yrs	110
Restaurant spending in California	r=0.92	7yrs	108
Gasoline pumped in Honduras	r=0.87	8yrs	108
Master's degrees awarded in Engineering	r=0.74	8yrs	108
Gasoline pumped in Kazakhstan	r=0.87	8yrs	98
Popularity of the first name Roman	r=0.83	9yrs	98
The number of avionics technicians in Washington	r=0.94	6yrs	88
Gasoline pumped in Mauritius	r=0.87	8yrs	88
Popularity of the first name Leonel	r=0.82	9yrs	86
Liquefied petroleum gas used in Mozambique	r=0.87	8yrs	78
Popularity of the first name Ibrahim	r=0.82	9yrs	76
Petroluem consumption in Paraguay	r=0.87	8yrs	68
Popularity of the first name Rayna	r=0.82	9yrs	66
Popularity of the first name Alden	r=0.82	9yrs	56
Popularity of the first name Dangelo	r=0.81	9yrs	45
Popularity of the first name Khadijah	r=0.81	9yrs	35
Popularity of the first name Harry	r=0.8	9yrs	24
Popularity of the first name Winston	r=0.8	9yrs	14
Popularity of the first name Orion	r=0.79	9yrs	2
Popularity of the first name Zaria	r=0.78	9yrs	-10

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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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