Top variables that correlate with The number of home appliance repairers in Indiana

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Data source: Bureau of Larbor Statistics
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The number of home appliance repairers in Indiana correlates with...

Variable	Correlation	Years	Sys. Score
Google searches for 'report UFO sighting'	r=0.9	19yrs	378
Popularity of the first name Yvette	r=0.95	20yrs	377
Popularity of the first name Trey	r=0.94	20yrs	376
Popularity of the first name Araceli	r=0.94	20yrs	376
Fossil fuel use in Slovakia	r=0.93	19yrs	376
Physical album shipment volume in the United States	r=0.92	20yrs	374
Electricity generation in U.S. Virgin Islands	r=0.92	19yrs	374
Fossil fuel use in U.S. Virgin Islands	r=0.92	19yrs	374
U.S. intercountry adoptions	r=0.91	19yrs	372
Google searches for 'oprah winfrey'	r=0.9	19yrs	372
US household spending on prescription drugs	r=0.91	20yrs	372
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.91	19yrs	368
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.9	19yrs	367
US average milk-fat content of frozen dairy products	r=0.9	19yrs	367
US birth rates of triplets or more	r=0.9	19yrs	348
Arson in Indiana	r=0.89	20yrs	347
Arson in United States	r=0.88	20yrs	346
Popularity of the first name Tavon	r=0.94	20yrs	346
Nuclear power generation in Germany	r=0.91	19yrs	343
Viewership count of American Idol Season Finale	r=0.88	20yrs	342
Bachelor's degrees awarded in Architecture	r=0.95	10yrs	342
Remaining Forest Cover in the Brazilian Amazon	r=0.86	20yrs	341
GMO use in cotton	r=0.88	20yrs	341
The distance between Neptune and the Sun	r=0.89	20yrs	341
The distance between Neptune and Earth	r=0.89	20yrs	341
The distance between Neptune and Mercury	r=0.89	20yrs	341
GMO use in corn grown in Indiana	r=0.85	20yrs	340
Google searches for 'learn spanish'	r=0.89	19yrs	340
Google searches for 'snoop dog'	r=0.88	19yrs	338
US household spending on processed fruits	r=0.86	20yrs	335
US household spending on natural gas	r=0.86	20yrs	335
US household spending on books	r=0.86	20yrs	335
Popularity of the first name Kaitlin	r=0.93	20yrs	334
Liquefied petroleum gas used in Greenland	r=0.93	19yrs	333
Popularity of the first name Natasha	r=0.93	20yrs	324
Kerosene used globally	r=0.92	19yrs	322
Ice cream consumption	r=0.9	19yrs	318
Associates degrees awarded in Education	r=0.91	11yrs	315
Popularity of the first name Tiara	r=0.93	20yrs	314
Gasoline pumped in Italy	r=0.92	20yrs	312
The distance between Neptune and the moon	r=0.89	20yrs	311
Google searches for 'black holes'	r=0.87	19yrs	307
Popularity of the first name Nicolette	r=0.93	20yrs	304
Milk consumption	r=0.86	19yrs	303
Kerosene used in Japan	r=0.91	20yrs	301
Popularity of the first name Garret	r=0.93	20yrs	294
Cottage cheese consumption	r=0.86	19yrs	292
Gasoline pumped in Norway	r=0.91	20yrs	291
Popularity of the first name Katelin	r=0.93	20yrs	284
How 'hip and with it' Extra History YouTube video titles are	r=0.86	11yrs	282
How trendy Extra History YouTube video titles are	r=0.86	11yrs	282
Associates degrees awarded in information sciences	r=0.88	11yrs	280
Kerosene used in Macau	r=0.91	19yrs	280
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.89	19yrs	276
Popularity of the first name Rocio	r=0.93	20yrs	274
Kerosene used in Malawi	r=0.91	19yrs	270
Average length of OverSimplified YouTube videos	r=0.9	7yrs	269
Popularity of the first name Kayli	r=0.93	20yrs	264
Divorce rates in the United Kingdom	r=0.87	10yrs	263
Kerosene used in Norway	r=0.9	20yrs	260
Popularity of the first name Trever	r=0.93	20yrs	254
Petroluem consumption in Puerto Rico	r=0.91	19yrs	250
Popularity of the first name Katlynn	r=0.94	18yrs	244
Jet fuel used in Sierra Leone	r=0.91	19yrs	240
Motor vehicle thefts	r=0.84	20yrs	234
Popularity of the first name Cinthia	r=0.93	20yrs	234
Bachelor's degrees awarded in Legal professions	r=0.86	10yrs	233
Viewership count for Days of Our Lives	r=0.85	19yrs	232
GMO use in cotton	r=0.83	20yrs	228
Air pollution in Vincennes, Indiana	r=0.83	20yrs	228
US household spending on floor coverings	r=0.84	20yrs	227
US household spending on clothin for women	r=0.84	20yrs	227
Air pollution in Michigan City, Indiana	r=0.82	20yrs	227
Cigarette Smoking Rate for US adults	r=0.84	19yrs	226
National Lacrosse Champions' Final Point	r=0.82	20yrs	224
Popularity of the first name Tyquan	r=0.93	20yrs	224
Popularity of the first name Kiarra	r=0.93	20yrs	214
Popularity of the first name Maranda	r=0.93	19yrs	203
Motor vehicle thefts in Indiana	r=0.82	20yrs	202
Popularity of the 'all your base' meme	r=0.84	17yrs	202
Fossil fuel use in Denmark	r=0.89	19yrs	200
Carjackings in the US	r=0.8	19yrs	198
US household spending on postage and stationery	r=0.82	20yrs	194
US household spending on clothing	r=0.82	20yrs	194
Air pollution in Indianapolis, Indiana	r=0.8	20yrs	194
Popularity of the first name Tyler	r=0.92	20yrs	192
Gasoline pumped in Portugal	r=0.9	20yrs	190
Google searches for 'attacked by a squirrel'	r=0.84	19yrs	190
Popularity of the first name Alexis	r=0.92	20yrs	182
Fossil fuel use in Luxembourg	r=0.88	19yrs	178
Google searches for 'matt parker'	r=0.84	19yrs	178
Gasoline pumped in Denmark	r=0.89	20yrs	168
Sherbet consumption	r=0.84	19yrs	164
Gasoline pumped in Sweden	r=0.89	20yrs	158
Kerosene used in Switzerland	r=0.89	20yrs	148
Violent crime rates	r=0.79	20yrs	147
US production of cottage cheese	r=0.84	19yrs	146
Burglary rates in the US	r=0.78	20yrs	136
US dairy skim solids used to produce cottage cheese	r=0.84	19yrs	134
Google searches for 'desktop background'	r=0.84	16yrs	134
Robberies in the US	r=0.77	20yrs	124

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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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