Top variables that correlate with The average number of likes on Deep Look YouTube videos

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Data source: YouTube
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The average number of likes on Deep Look YouTube videos correlates with...

Variable	Correlation	Years	Has img?
The number of zoologists in Alabama	r=1	6yrs	Yes!
Swiss cheese consumption	r=0.95	8yrs	No

The average number of likes on Deep Look YouTube videos also correlates with...

Variable	Correlation	Years	Sys. Score
The number of environmental engineers in Oklahoma	r=0.97	9yrs	350
The number of occupational health and safety technicians in Arkansas	r=0.96	9yrs	349
Restaurant spending in Minnesota	r=0.96	7yrs	348
Fossil fuel use in Rwanda	r=0.95	8yrs	348
Jet fuel used in Ghana	r=0.96	8yrs	346
Popularity of the first name Gwendolyn	r=0.91	9yrs	330
Petroluem consumption in Dominican Republic	r=0.94	8yrs	314
Google searches for 'cat memes'	r=0.88	10yrs	302
The number of psychiatric aides in Alaska	r=0.99	6yrs	300
Restaurant spending in Hawaii	r=0.94	7yrs	300
Restaurant spending in Kentucky	r=0.94	7yrs	300
Total Revenue of the NFL Teams	r=0.94	7yrs	299
Hot days in Louisville	r=0.91	10yrs	294
The number of avionics technicians in Washington	r=0.98	6yrs	289
Jet fuel used in Vietnam	r=0.94	8yrs	284
Popularity of the first name Raegan	r=0.87	9yrs	279
Popularity of the first name Annette	r=0.86	9yrs	278
Kerosene used in Bolivia	r=0.93	8yrs	272
Restaurant spending in South Dakota	r=0.94	7yrs	270
Popularity of the 'thats what she said' meme	r=0.86	10yrs	268
Google searches for 'Brexit'	r=0.89	8yrs	264
Air pollution in Muskogee, Oklahoma	r=0.88	6yrs	262
Air pollution in Muskogee, Oklahoma	r=0.88	6yrs	262
The number of airline pilots, copilots, and flight engineers in Washington	r=0.97	6yrs	262
Jet fuel used in Qatar	r=0.93	8yrs	262
Restaurant spending in Texas	r=0.94	7yrs	260
Restaurant spending in Vermont	r=0.94	7yrs	250
Hot days in Nashville	r=0.86	10yrs	242
Restaurant spending in Wyoming	r=0.94	7yrs	240
The number of rehabilitation counselors in Georgia	r=0.94	9yrs	236
Renewable energy production in Uruguay	r=0.9	8yrs	236
Restaurant spending in Alaska	r=0.93	7yrs	229
The number of receptionists in New Jersey	r=0.93	9yrs	226
Petroluem consumption in Costa Rica	r=0.92	8yrs	226
Restaurant spending in Florida	r=0.93	7yrs	219
The number of printing press operators in Michigan	r=0.94	9yrs	216
Gasoline pumped in Belarus	r=0.91	8yrs	214
Restaurant spending in Montana	r=0.93	7yrs	209
The number of judges in North Dakota	r=0.94	8yrs	205
Petroluem consumption in Mauritius	r=0.9	8yrs	202
Restaurant spending in North Carolina	r=0.93	7yrs	199
The number of electricians in Maryland	r=0.93	9yrs	194
Petroluem consumption in Sri Lanka	r=0.9	8yrs	192
Restaurant spending in Pennsylvania	r=0.93	7yrs	189
The number of cashiers in Massachusetts	r=0.93	9yrs	184
Restaurant spending in Utah	r=0.93	7yrs	179
Number of public school students in 6th grade	r=0.84	9yrs	174
The number of salespeople in South Carolina	r=0.93	9yrs	174
Number of public school students in 7th grade	r=0.82	9yrs	171
The distance between Saturn and Mercury	r=0.82	10yrs	170
The number of movies Lupita Nyong'o appeared in	r=0.77	10yrs	169
Restaurant spending in Virginia	r=0.93	7yrs	169
Muenster cheese consumption	r=0.78	8yrs	168
The number of movies Gerard Butler appeared in	r=0.76	10yrs	168
Low-fat and nonfat ice cream products consumption	r=0.77	8yrs	167
Associates degrees awarded in Precision production	r=0.8	8yrs	166
The number of movies Dominic Monaghan appeared in	r=0.76	9yrs	166
US household spending on vehicle insurance	r=0.8	9yrs	165
The number of correctional officers and jailers in Ohio	r=0.93	8yrs	164
The distance between Saturn and Earth	r=0.77	10yrs	163
The distance between Saturn and the moon	r=0.77	10yrs	163
Restaurant spending in Washington	r=0.93	7yrs	159
Bachelor's degrees awarded in Physical sciences	r=0.74	8yrs	158
Master's degrees awarded in consumer sciences	r=0.74	8yrs	158
The number of hairdressers, hairstylists, and cosmetologists in New Jersey	r=0.92	9yrs	153
Jet fuel used in Belarus	r=0.89	8yrs	151
Restaurant spending in Alabama	r=0.92	7yrs	148
The number of industrial engineers in South Carolina	r=0.92	9yrs	143
Liquefied petroleum gas used in Peru	r=0.89	8yrs	141
Popularity of the first name Ryann	r=0.83	9yrs	138
Restaurant spending in Georgia	r=0.92	7yrs	138
The number of mechanical engineers in Wisconsin	r=0.92	9yrs	133
The distance between Saturn and the Sun	r=0.76	10yrs	132
Liquefied petroleum gas used in Poland	r=0.88	9yrs	130
Restaurant spending in Idaho	r=0.92	7yrs	128
The number of movies Jon Hamm appeared in	r=0.69	10yrs	127
Popularity of the first name Rayna	r=0.82	9yrs	126
The number of bartenders in Alabama	r=0.9	9yrs	122
Fossil fuel use in Cyprus	r=0.85	8yrs	118
Restaurant spending in Indiana	r=0.92	7yrs	118
Popularity of the first name Maximiliano	r=0.8	9yrs	114
The number of restaurant cooks in California	r=0.91	9yrs	112
Gasoline pumped in Colombia	r=0.87	8yrs	108
Restaurant spending in Kansas	r=0.92	7yrs	108
The number of professional painters in Massachusetts	r=0.91	9yrs	102
Popularity of the first name Miracle	r=0.79	9yrs	102
Kerosene used in Egypt	r=0.87	8yrs	98
Popularity of the first name Evelyn	r=0.78	9yrs	90
Jet fuel used in Armenia	r=0.86	8yrs	86
Popularity of the first name Princess	r=0.78	9yrs	80
Kerosene used in South Africa	r=0.86	8yrs	76
Popularity of the first name Harry	r=0.77	9yrs	69
Liquefied petroleum gas used in Philippines	r=0.85	8yrs	65
Popularity of the first name Judith	r=0.77	9yrs	59
Popularity of the first name Cora	r=0.77	9yrs	49
Popularity of the first name Roland	r=0.77	9yrs	39
Popularity of the first name Aria	r=0.77	9yrs	29
Popularity of the first name Raina	r=0.77	9yrs	19
Popularity of the first name Anastasia	r=0.76	9yrs	8

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<< Back to discover a correlation

^{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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