Top variables that correlate with Popularity of the first name Chanel

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Data source: US Social Security Administration
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Popularity of the first name Chanel correlates with...

Variable	Correlation	Years	Has img?
UK Service Retail Price Index	r=0.9	19yrs	No
The distance between Saturn and Venus	r=0.72	48yrs	No

Popularity of the first name Chanel also correlates with...

Variable	Correlation	Years	Sys. Score
The number of network systems administrators in New Mexico	r=0.93	18yrs	354
The number of graphic designers in Wyoming	r=0.91	20yrs	354
The number of registered nurses in Kentucky	r=0.92	18yrs	352
Jet fuel used in Romania	r=0.85	33yrs	345
Petroluem consumption in Moldova	r=0.86	30yrs	344
US milk fat used to produce whey products (net)	r=0.86	22yrs	337
US milk fat used to produce yogurt	r=0.86	22yrs	337
US production of evaporated and condensed milk	r=0.85	22yrs	336
The number of surgical technologists in Virginia	r=0.9	20yrs	321
Total viewership of the Aviva Premiership Rugby final	r=0.87	14yrs	298
Average views of SciShow Space YouTube videos	r=0.91	9yrs	298
How 'hip and with it' Computerphile YouTube video titles are	r=0.9	10yrs	297
US hotel industry's revenue per available room	r=0.86	14yrs	296
Average number of comments on SciShow Space YouTube videos	r=0.9	9yrs	291
Portion of all US dairy skim-solids allocated to the production of yogurt, nonfrozen	r=0.86	22yrs	284
Number of Public Library Members in the UK	r=0.88	12yrs	282
The number of psychiatric aides in Alabama	r=0.89	20yrs	280
Organic Food Sales Volume in the United States	r=0.87	13yrs	276
US average milk-fat content of yogurt, nonfrozen	r=0.86	22yrs	274
The number of salespeople in Montana	r=0.89	20yrs	270
The number of nuclear engineers in Virginia	r=0.89	20yrs	260
Exxon Mobil's stock price (XOM)	r=0.85	21yrs	256
How nerdy 3Blue1Brown YouTube video titles are	r=0.91	8yrs	252
British American Tobacco p.l.c.'s stock price (BTI)	r=0.84	21yrs	248
The number of university physics teachers in Indiana	r=0.88	20yrs	248
Violent crime rates	r=0.65	38yrs	244
The number of cashiers in Montana	r=0.88	20yrs	238
Gasoline pumped in Belarus	r=0.84	30yrs	236
NASA's budget appropriation	r=0.65	48yrs	232
The number of nuclear medicine technologists in New Mexico	r=0.88	20yrs	228
Robberies in the US	r=0.68	38yrs	228
Arson in Illinois	r=0.79	38yrs	225
U.S. direct investment abroad	r=0.8	22yrs	224
The distance between Saturn and Mercury	r=0.76	48yrs	224
The distance between Saturn and the Sun	r=0.75	48yrs	223
The distance between Saturn and Earth	r=0.75	48yrs	223
The wind speed in Charlotte	r=0.81	39yrs	223
Hollister retail store count worldwide	r=0.79	23yrs	222
The average age of batters for the Detroit Tigers	r=0.63	48yrs	222
The number of paralegals in Wisconsin	r=0.88	18yrs	218
GMO use in corn	r=0.81	23yrs	212
Liquefied petroleum gas used in Former Czechoslovakia	r=0.88	13yrs	210
Fomento Econ's stock price (FMX)	r=0.79	21yrs	210
Customer satisfaction with Costco	r=0.77	22yrs	210
The wind speed in San Diego	r=0.72	39yrs	210
GMO use in corn	r=0.79	23yrs	208
The number of environmental engineers in Georgia	r=0.87	20yrs	206
Kerosene used in French Polynesia	r=0.83	32yrs	206
The number of network systems administrators in Indiana	r=0.88	18yrs	196
Petroluem consumption in Latvia	r=0.83	31yrs	195
The distance between Saturn and the moon	r=0.75	48yrs	193
Robberies in New York	r=0.77	38yrs	192
The number of environmental engineers in Pennsylvania	r=0.87	20yrs	186
Jet fuel used in French Polynesia	r=0.75	42yrs	184
US production of yogurt, nonfrozen	r=0.85	22yrs	180
Motor vehicle thefts in New York	r=0.76	38yrs	180
Coterra Energy's stock price (CTRA)	r=0.78	21yrs	179
The number of hotel desk clerks in South Dakota	r=0.87	20yrs	176
Biomass power generated in Slovenia	r=0.84	23yrs	172
US dairy skim solids used to produce yogurt, nonfrozen	r=0.85	22yrs	169
Robberies in California	r=0.75	38yrs	169
Chevron's stock price (CVX)	r=0.77	21yrs	168
The number of registered nurses in Wyoming	r=0.88	18yrs	166
Petroluem consumption in Saint Pierre and Miquelon	r=0.74	42yrs	162
Arson in New York	r=0.74	38yrs	158
Enbridge's stock price (ENB)	r=0.77	21yrs	158
US production of whey products (net)	r=0.82	22yrs	156
The number of electronics engineers in Indiana	r=0.86	20yrs	155
Jet fuel used in Afghanistan	r=0.73	42yrs	151
The number of sales managers in Minnesota	r=0.86	20yrs	145
US dairy skim solids used to produce whey products	r=0.82	22yrs	144
Burglaries in New York	r=0.71	38yrs	143
The number of retail salespersons in Nevada	r=0.86	20yrs	135
US dairy skim solids used to produce evaporated and condensed milk	r=0.82	22yrs	134
Burglaries in Connecticut	r=0.7	38yrs	132
Petroluem consumption in Kazakhstan	r=0.8	30yrs	130
The number of medical equipment repairers in Pennsylvania	r=0.86	20yrs	125
Robberies in Illinois	r=0.7	38yrs	122
Evaporated and condensed milk consumption	r=0.78	32yrs	118
Wind power generated in Falkland Islands	r=0.81	22yrs	116
Burglaries in California	r=0.69	38yrs	110
Jet fuel used in Cabo Verde	r=0.83	22yrs	106
Muenster cheese consumption	r=0.76	27yrs	100
Motor vehicle thefts in Texas	r=0.68	38yrs	98
Biomass power generated in India	r=0.79	23yrs	94
Motor vehicle thefts in Texas	r=0.68	38yrs	88
Biomass power generated in Uganda	r=0.8	22yrs	84
Motor vehicle thefts in Texas	r=0.68	38yrs	78
Jet fuel used in Samoa	r=0.82	22yrs	74
Robberies in Missouri	r=0.68	38yrs	68
Jet fuel used in Sao Tome and Principe	r=0.82	22yrs	64
Robberies in Connecticut	r=0.68	38yrs	58
Hydopower energy generated in North Korea	r=0.64	42yrs	50
Robberies in Connecticut	r=0.68	38yrs	48
Liquefied petroleum gas used in North Korea	r=0.66	42yrs	40
Burglaries in Massachusetts	r=0.67	38yrs	37
Kerosene used in North Korea	r=0.65	42yrs	29
Burglaries in District of Columbia	r=0.67	38yrs	27
Robberies in Massachusetts	r=0.66	38yrs	16

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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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