Top variables that correlate with The number of carpet installers in California

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Data source: Bureau of Larbor Statistics
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The number of carpet installers in California correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Syria	r=0.95	19yrs	376
Popularity of the first name Katrina	r=0.93	20yrs	374
Popularity of the first name Dora	r=0.93	20yrs	374
Popularity of the first name Raquan	r=0.93	20yrs	374
Kerosene used in Cuba	r=0.92	19yrs	372
Kerosene used in United States	r=0.9	20yrs	370
Google searches for 'cia hotline'	r=0.9	19yrs	344
Popularity of the first name Carolyn	r=0.92	20yrs	342
Jet fuel used in Syria	r=0.9	19yrs	338
Google searches for 'panama canal'	r=0.88	19yrs	338
Google searches for 'Panama Canal'	r=0.88	19yrs	338
Divorce rates in the United Kingdom	r=0.93	10yrs	337
Physical album shipment volume in the United States	r=0.86	20yrs	335
Popularity of the first name Kerry	r=0.92	20yrs	332
Total annual sales of Ford Motors in the United States	r=0.86	19yrs	331
Popularity of the first name Grace	r=0.91	20yrs	321
Popularity of the first name Tara	r=0.91	20yrs	311
Google searches for 'black holes'	r=0.86	19yrs	306
How good LockPickingLawyer YouTube video titles are	r=0.91	8yrs	302
Popularity of the first name Jaclyn	r=0.91	20yrs	301
Electricity generation in Jamaica	r=0.88	19yrs	298
Visitors to Disney Worlds Magic Kingdom	r=0.85	15yrs	298
Google searches for 'E.T. phone home'	r=0.85	19yrs	294
Popularity of the first name Maura	r=0.91	20yrs	291
Jet fuel used in Belize	r=0.9	19yrs	288
Popularity of the first name Catrina	r=0.91	20yrs	281
Kerosene used in El Salvador	r=0.9	19yrs	278
Popularity of the first name Alec	r=0.9	20yrs	270
How cool LockPickingLawyer YouTube video titles are	r=0.9	8yrs	270
Kerosene used in Nepal	r=0.89	19yrs	267
How geeky Technology Connections YouTube video titles are	r=0.87	8yrs	266
Number of articles Matt Levine published on Bloomberg on Fridays	r=0.89	9yrs	264
Popularity of the first name Philip	r=0.9	20yrs	260
Kerosene used in Tunisia	r=0.89	19yrs	257
Popularity of the first name Lynsey	r=0.9	19yrs	248
Jet fuel used in U.S. Virgin Islands	r=0.89	19yrs	247
Jet fuel used in Barbados	r=0.88	19yrs	236
Remaining Forest Cover in the Brazilian Amazon	r=0.83	20yrs	232
Automotive recalls for issues with Vehicle Speed Control	r=0.85	20yrs	228
Kerosene used in Seychelles	r=0.88	19yrs	226
Jet fuel used in U.S. Pacific Islands	r=0.88	19yrs	216
Popularity of the first name Deborah	r=0.9	20yrs	210
Kerosene used in Vietnam	r=0.88	19yrs	206
Popularity of the first name Tory	r=0.9	20yrs	200
NASA's budget as a percentage of the total US Federal Budget	r=0.81	20yrs	198
Motor vehicle thefts	r=0.79	20yrs	197
The wind speed in Los Angeles	r=0.83	19yrs	196
Petroluem consumption in Germany	r=0.86	20yrs	194
Visitors to Disneyland	r=0.85	15yrs	194
Cottage cheese consumption	r=0.78	19yrs	194
Viewership count for Days of Our Lives	r=0.79	19yrs	193
US household spending on clothing	r=0.81	20yrs	192
US household spending on books	r=0.81	20yrs	192
Air pollution in Oxnard, California	r=0.79	20yrs	192
Career regular season goals scored by Sidney Crosby	r=0.8	20yrs	191
Popularity of the first name Nautica	r=0.9	20yrs	190
US household spending on alcoholic beverages	r=0.79	20yrs	190
US household spending on floor coverings	r=0.79	20yrs	190
US household spending on clothing for men	r=0.79	20yrs	190
Air quality in Hanford, California	r=0.77	20yrs	190
US household spending on clothin for women	r=0.78	20yrs	188
US milk fat used to produce cottage cheese	r=0.78	19yrs	187
U.S. intercountry adoptions	r=0.77	19yrs	186
US household spending on beef	r=0.77	20yrs	186
US household spending on postage and stationery	r=0.77	20yrs	186
The wind speed in San Diego	r=0.76	20yrs	186
Kerosene used in Japan	r=0.86	20yrs	184
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.78	19yrs	184
Popularity of the first name Thomas	r=0.89	20yrs	178
Google searches for 'matt parker'	r=0.84	19yrs	178
GMO use in corn	r=-0.9	20yrs	177
Popularity of the 'leeroy jenkins' meme	r=0.8	17yrs	176
Liquefied petroleum gas used in Libya	r=0.87	19yrs	174
GMO use in soybeans	r=-0.87	20yrs	174
GMO use in soybeans	r=-0.87	20yrs	174
Customer satisfaction with Nordstrom	r=-0.94	18yrs	174
Air quality in Eureka, California	r=-0.89	20yrs	173
Carjackings in the US	r=0.76	19yrs	172
Number of public school students in 12th grade	r=-0.87	20yrs	171
Annual US household spending on electricity	r=-0.9	20yrs	171
Google searches for 'report UFO sighting'	r=0.75	19yrs	170
Ticket sales for Oakland Athletics games	r=0.8	17yrs	170
Popularity of the first name Mary	r=0.89	20yrs	168
US birth rates of triplets or more	r=0.74	19yrs	168
Annual US household spending on utilities	r=-0.86	20yrs	167
Google searches for 'learn spanish'	r=0.83	19yrs	166
Hollister retail store count worldwide	r=-0.85	20yrs	166
Kerosene used in Mauritius	r=0.87	19yrs	164
Popularity of the first name Peter	r=0.89	20yrs	158
Jet fuel used in Somalia	r=0.87	19yrs	154
US average milk-fat content of frozen dairy products	r=0.78	19yrs	154
Popularity of the first name Carolina	r=0.89	20yrs	148
US average dairy skim-solid content of bulk evaporated and condensed milk	r=0.78	19yrs	144
Kerosene used in Hong Kong	r=0.86	19yrs	142
Air quality in Eureka, California	r=-0.87	20yrs	141
GMO use in cotton in California	r=-0.84	20yrs	138
GMO use in cotton	r=-0.84	20yrs	128
Google searches for 'snoop dog'	r=0.82	19yrs	124
US production of evaporated and condensed milk	r=-0.88	19yrs	118
Google searches for 'attacked by a squirrel'	r=0.78	19yrs	112
Google searches for 'oprah winfrey'	r=0.76	19yrs	76

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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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