Top variables that correlate with Popularity of the first name Daysha

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

Variable	Correlation	Years	Sys. Score
Physical album shipment volume in the United States	r=0.98	24yrs	417
The marriage rate in Nevada	r=0.98	23yrs	416
The marriage rate in Idaho	r=0.97	23yrs	414
The marriage rate in Wyoming	r=0.97	23yrs	414
Kerosene used in South Korea	r=0.93	43yrs	397
The number of brokerage clerks in New York	r=0.98	20yrs	393
The number of floral designers in Arizona	r=0.97	20yrs	392
The number of cooks, short order in Indiana	r=0.97	20yrs	392
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.97	22yrs	390
US average milk-fat content of frozen dairy products	r=0.96	22yrs	389
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	388
Carjackings in the US	r=0.91	27yrs	387
US birth rates of triplets or more	r=0.95	20yrs	386
Gasoline pumped in Slovenia	r=0.92	31yrs	384
The marriage rate in Alabama	r=0.96	23yrs	383
Google searches for 'panama canal'	r=0.94	19yrs	378
Google searches for 'learn spanish'	r=0.94	19yrs	378
Google searches for 'black holes'	r=0.94	19yrs	378
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	376
The marriage rate in Arkansas	r=0.96	23yrs	373
United States music album sales	r=0.92	16yrs	370
Arson in Idaho	r=0.93	22yrs	365
The number of file clerks in Maryland	r=0.97	20yrs	362
GMO use in cotton	r=0.92	23yrs	360
US household spending on clothing	r=0.94	23yrs	360
AIG's stock price (AIG)	r=0.88	21yrs	359
Citigroup's stock price (C)	r=0.87	21yrs	358
US household spending on clothin for women	r=0.93	23yrs	358
US household spending on clothing for men	r=0.92	23yrs	357
US household spending on books	r=0.92	23yrs	357
Lloyds Banking Group's stock price (LYG)	r=0.86	21yrs	356
US household spending on prescription drugs	r=0.9	23yrs	354
The number of CEOs in Ohio	r=0.96	20yrs	352
Google searches for 'Panama Canal'	r=0.93	19yrs	346
Google searches for 'report UFO sighting'	r=0.89	19yrs	346
US milk fat used to produce fluid beverage milk	r=0.91	22yrs	344
GMO use in corn grown in South Dakota	r=0.93	23yrs	344
GMO use in cotton in North Carolina	r=0.94	23yrs	343
The number of compensation and benefits managers in Missouri	r=0.98	19yrs	342
xkcd comics published about existentialism	r=0.89	16yrs	342
Cigarette Smoking Rate for US adults	r=0.89	21yrs	340
U.S. intercountry adoptions	r=0.87	23yrs	340
Popularity of the 'all your base' meme	r=0.86	17yrs	340
The divorce rate in Alabama	r=0.95	23yrs	333
Google searches for 'snoop dog'	r=0.91	19yrs	333
Gasoline pumped in Portugal	r=0.9	43yrs	332
The number of tool and die makers in Arkansas	r=0.96	20yrs	330
Arson in Iowa	r=0.89	22yrs	329
The divorce rate in Tennessee	r=0.95	23yrs	323
US household spending on postage and stationery	r=0.89	23yrs	322
US household spending on floor coverings	r=0.89	23yrs	322
US household spending on processed fruits	r=0.88	23yrs	321
The number of telemarketers in California	r=0.95	20yrs	320
Gasoline pumped in Denmark	r=0.88	43yrs	320
US household spending on beef	r=0.87	23yrs	320
US household spending on fresh milk and cream	r=0.87	23yrs	320
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.93	22yrs	314
The divorce rate in North Carolina	r=0.94	23yrs	312
GMO use in corn grown in Iowa	r=0.91	23yrs	312
The number of postal service machine operators in Connecticut	r=0.96	20yrs	310
Gasoline pumped in Luxembourg	r=0.86	43yrs	306
US average milk-fat content of cottage cheese	r=0.91	22yrs	302
GMO use in corn grown in Texas	r=0.94	18yrs	301
The number of prepress technicians and workers in Florida	r=0.96	20yrs	300
The marriage rate in South Dakota	r=0.94	23yrs	300
Google searches for 'oprah winfrey'	r=0.9	19yrs	292
Cenovus Energy's stock price (CVE)	r=0.89	13yrs	292
The number of data entry keyers in Georgia	r=0.96	20yrs	290
The marriage rate in Virginia	r=0.94	23yrs	290
Fossil fuel use in Slovakia	r=0.89	29yrs	290
GMO use in cotton in Texas	r=0.91	23yrs	288
The number of human resources assistants in Illinois	r=0.96	20yrs	280
Google searches for 'matt parker'	r=0.89	19yrs	280
The marriage rate in Tennessee	r=0.93	23yrs	278
The number of prepress technicians and workers in Illinois	r=0.96	20yrs	270
The divorce rate in Kentucky	r=0.92	23yrs	268
US household spending on transportation	r=0.86	23yrs	268
Google searches for 'desktop background'	r=0.89	16yrs	267
Geothermal power generated in Austria	r=0.87	17yrs	265
The number of postal service machine operators in Iowa	r=0.96	20yrs	260
The divorce rate in Wyoming	r=0.92	23yrs	258
Ticket sales for Cleveland Guardians games	r=0.85	45yrs	255
Ticket sales for Baltimore Orioles games	r=0.83	45yrs	252
The number of typists in Iowa	r=0.96	20yrs	250
The marriage rate in Kentucky	r=0.92	23yrs	247
The number of file clerks in Minnesota	r=0.96	20yrs	240
The marriage rate in South Carolina	r=0.92	23yrs	237
The number of postal service machine operators in Minnesota	r=0.96	20yrs	230
The marriage rate in Arizona	r=0.91	23yrs	226
The number of postal service machine operators in New Jersey	r=0.96	20yrs	220
The marriage rate in Louisiana	r=0.91	23yrs	216
The number of conveyor operators in New Jersey	r=0.96	20yrs	210
The marriage rate in Ohio	r=0.91	23yrs	206
The number of prepress technicians and workers in North Carolina	r=0.96	20yrs	200
The divorce rate in Florida	r=0.9	23yrs	196
Nuclear power generation in United Kingdom	r=0.84	42yrs	170
The divorce rate in Mississippi	r=0.9	23yrs	156
Kerosene used in South Africa	r=0.82	42yrs	154
Kerosene used in Nepal	r=0.81	42yrs	143
Gasoline pumped in Italy	r=0.8	43yrs	132
Petroluem consumption in Portugal	r=0.79	43yrs	121

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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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