Top variables that correlate with The number of librarians in California

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

Variable	Correlation	Years	Has img?
Arson in California	r=0.92	16yrs	No

The number of librarians in California also correlates with...

Variable	Correlation	Years	Sys. Score
Geothermal power generated in Japan	r=0.97	16yrs	409
Popularity of the first name Karl	r=0.98	16yrs	408
Popularity of the first name Matthew	r=0.97	16yrs	406
Popularity of the first name Stephen	r=0.97	16yrs	406
Physical album shipment volume in the United States	r=0.95	16yrs	404
Gasoline pumped in Portugal	r=0.95	16yrs	403
Kerosene used in Taiwan	r=0.95	16yrs	403
Remaining Forest Cover in the Brazilian Amazon	r=0.95	16yrs	380
Ice cream consumption	r=0.94	16yrs	380
Motor vehicle thefts	r=0.94	16yrs	380
Cottage cheese consumption	r=0.92	16yrs	378
Popularity of the first name Paul	r=0.97	16yrs	376
US birth rates of triplets or more	r=0.91	16yrs	376
Arson in United States	r=0.91	16yrs	376
NASA's budget as a percentage of the total US Federal Budget	r=0.91	16yrs	374
Google searches for 'learn spanish'	r=0.94	15yrs	374
Kerosene used in Tunisia	r=0.95	16yrs	373
U.S. intercountry adoptions	r=0.93	16yrs	372
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	16yrs	372
GMO use in cotton	r=0.91	16yrs	372
Google searches for 'snoop dog'	r=0.92	15yrs	370
Google searches for 'black holes'	r=0.92	15yrs	370
US household spending on clothing	r=0.92	16yrs	370
US household spending on books	r=0.92	16yrs	370
The distance between Neptune and the Sun	r=0.9	16yrs	368
The distance between Neptune and Earth	r=0.9	16yrs	368
The distance between Neptune and the moon	r=0.9	16yrs	368
US household spending on floor coverings	r=0.91	16yrs	368
US household spending on postage and stationery	r=0.9	16yrs	367
Popularity of the first name Kristina	r=0.97	16yrs	366
Popularity of the first name Mathew	r=0.97	16yrs	356
Popularity of the first name Allan	r=0.97	16yrs	346
Carjackings in the US	r=0.9	16yrs	344
Disney movies released	r=0.89	16yrs	343
US milk fat used to produce fluid beverage milk	r=0.92	16yrs	340
Viewership count for Days of Our Lives	r=0.89	16yrs	340
Number of public school students in 9th grade	r=0.9	16yrs	340
Air pollution in Bakersfield, California	r=0.88	16yrs	337
Air pollution in Oxnard, California	r=0.88	16yrs	337
Popularity of the first name Halie	r=0.97	16yrs	336
US household spending on clothing for men	r=0.89	16yrs	336
Kerosene used in Japan	r=0.95	16yrs	333
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.94	16yrs	330
Popularity of the first name Kory	r=0.97	16yrs	326
Kerosene used globally	r=0.94	16yrs	322
US average milk-fat content of frozen dairy products	r=0.94	16yrs	320
Popularity of the first name Jennie	r=0.97	16yrs	316
Gasoline pumped in Austria	r=0.94	16yrs	312
Popularity of the 'all your base' meme	r=0.89	13yrs	310
China's Rare Earth Element Export Volume	r=0.9	11yrs	309
Google searches for 'Panama Canal'	r=0.9	15yrs	308
US production of cottage cheese	r=0.9	16yrs	307
Popularity of the first name Shelly	r=0.97	16yrs	306
Kerosene used in Dominica	r=0.94	16yrs	302
Violent crime rates	r=0.88	16yrs	302
Air pollution in Visalia, California	r=0.85	16yrs	302
US household spending on clothin for women	r=0.86	16yrs	301
Annual US household spending on floor coverings	r=0.85	16yrs	300
US dairy skim solids used to produce cottage cheese	r=0.9	16yrs	296
Google searches for 'panama canal'	r=0.89	15yrs	296
Popularity of the first name Nicholas	r=0.96	16yrs	294
Kerosene used in Indonesia	r=0.94	16yrs	292
Popularity of the first name Emily	r=0.96	16yrs	284
Kerosene used in Norway	r=0.94	16yrs	282
Intercountry adoptions	r=0.89	11yrs	278
Popularity of the first name Jessica	r=0.96	16yrs	274
Gasoline pumped in Spain	r=0.94	16yrs	272
Popularity of the first name John	r=0.96	16yrs	264
Bachelor's degrees awarded in Communications technologies	r=0.88	7yrs	263
Gasoline pumped in United Kingdom	r=0.94	16yrs	262
Divorce rates in the United Kingdom	r=0.86	10yrs	262
Popularity of the first name Sarah	r=0.96	16yrs	254
US milk fat used to produce cottage cheese	r=0.88	16yrs	254
Google searches for 'shook'	r=0.87	15yrs	253
Gasoline pumped in Italy	r=0.93	16yrs	250
Popularity of the first name Rachel	r=0.96	16yrs	244
US average milk-fat content of cottage cheese	r=0.89	16yrs	242
Kerosene used in Macau	r=0.93	16yrs	240
Google searches for 'oprah winfrey'	r=0.85	15yrs	240
Popularity of the first name Kyle	r=0.96	16yrs	234
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.88	16yrs	231
Kerosene used in Nepal	r=0.93	16yrs	230
Popularity of the first name Megan	r=0.96	16yrs	224
Gasoline pumped in Norway	r=0.93	16yrs	220
Popularity of the first name Samuel	r=0.96	16yrs	214
Petroluem consumption in Portugal	r=0.93	16yrs	210
Google searches for 'report UFO sighting'	r=0.85	15yrs	201
Petroluem consumption in Puerto Rico	r=0.93	16yrs	200
Automotive recalls for issues with Vehicle Speed Control	r=0.83	16yrs	192
Kerosene used in United States	r=0.93	16yrs	190
Citigroup's stock price (C)	r=0.82	16yrs	190
AIG's stock price (AIG)	r=0.82	16yrs	190
Portion of all US dairy skim-solids allocated to the production of evaporated and condensed milk	r=0.86	16yrs	188
Kerosene used in Vietnam	r=0.93	16yrs	180
Number of Lawyers in the United States	r=-0.93	16yrs	178
Air pollution in Los Angeles	r=0.84	16yrs	169
Air pollution in Bishop, California	r=0.84	16yrs	156
Robberies in the US	r=0.85	16yrs	152
Milk consumption	r=0.83	16yrs	80
Canned whole evaporated and condensed milk consumption	r=0.82	16yrs	68

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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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