Top variables that correlate with The number of human resources assistants in Tennessee

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Data source: Bureau of Larbor Statistics
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The number of human resources assistants in Tennessee correlates with...

Variable	Correlation	Years	Sys. Score
Milk consumption	r=0.96	19yrs	418
US birth rates of triplets or more	r=0.95	19yrs	415
Fossil fuel use in Greece	r=0.97	19yrs	412
Gasoline pumped in Croatia	r=0.98	19yrs	410
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.96	19yrs	406
Global iPod Sales	r=0.98	9yrs	404
UK Public Library Count	r=0.96	12yrs	399
Nuclear power generation in Germany	r=0.94	19yrs	378
Cigarette Smoking Rate for US adults	r=0.94	19yrs	376
Popularity of the first name Reece	r=0.94	20yrs	376
Popularity of the first name Ayana	r=0.94	20yrs	376
U.S. intercountry adoptions	r=0.93	19yrs	374
Popularity of the first name Susana	r=0.93	20yrs	374
US production of fluid beverage milk	r=0.92	19yrs	373
Fossil fuel use in Czechia	r=0.93	19yrs	346
Popularity of the first name Bryana	r=0.93	20yrs	344
GMO use in cotton	r=0.9	20yrs	344
Arson in United States	r=0.87	20yrs	344
Burglaries in Tennessee	r=0.87	20yrs	344
Robberies in the US	r=0.87	20yrs	344
Viewership count for Days of Our Lives	r=0.88	19yrs	342
The distance between Neptune and the Sun	r=0.9	20yrs	342
The distance between Neptune and Earth	r=0.9	20yrs	342
The distance between Neptune and the moon	r=0.9	20yrs	342
Air pollution in Memphis	r=0.87	20yrs	342
Air pollution in Nashville	r=0.87	20yrs	342
Viewership count of American Idol Season Finale	r=0.87	20yrs	341
Asthma prevalence in American children	r=0.89	17yrs	341
Asthma attacks in American children	r=0.89	17yrs	341
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.91	19yrs	340
GMO use in cotton	r=0.87	20yrs	340
Air pollution in Sevierville, Tennessee	r=0.87	20yrs	340
Asthma attacks in American children	r=0.87	17yrs	338
The divorce rate in Tennessee	r=0.88	19yrs	338
US household spending on natural gas	r=0.88	20yrs	338
US household spending on clothin for women	r=0.88	20yrs	338
US household spending on prescription drugs	r=0.88	20yrs	338
Fossil fuel use in Netherlands Antilles	r=0.93	19yrs	336
US household spending on clothing	r=0.87	20yrs	336
Global Per Capita Rice Consumption	r=0.88	17yrs	335
US household spending on mortgage interest and charges	r=0.86	20yrs	335
Popularity of the first name Antony	r=0.93	20yrs	334
National Lacrosse Champions' Final Point	r=0.85	20yrs	334
Google searches for 'desktop background'	r=0.87	16yrs	334
Intercountry adoptions	r=0.92	11yrs	332
Median Weekly Earnings of Self-Employed Workers in the UK	r=0.92	11yrs	332
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	19yrs	330
Electricity generation in United Kingdom	r=0.93	19yrs	326
Popularity of the first name Areli	r=0.93	20yrs	324
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.92	19yrs	320
Kerosene used in Iran	r=0.95	19yrs	316
Popularity of the first name Micayla	r=0.93	19yrs	313
US average milk-fat content of cottage cheese	r=0.92	19yrs	310
Air pollution in Chattanooga, Tennessee	r=0.86	20yrs	308
Gasoline pumped in Slovenia	r=0.94	20yrs	306
Asthma attacks in American children	r=0.85	17yrs	305
GMO use in cotton in Tennessee	r=0.85	17yrs	304
Popularity of the first name Angel	r=0.92	20yrs	302
US average milk-fat content of frozen dairy products	r=0.9	19yrs	297
Renewable energy production in Comoros	r=0.93	17yrs	294
Popularity of the first name Hailey	r=0.92	20yrs	292
Hydopower energy generated in Comoros	r=0.93	17yrs	284
Popularity of the first name Eduardo	r=0.92	20yrs	282
Fossil fuel use in Denmark	r=0.92	19yrs	274
Popularity of the first name Cristian	r=0.92	20yrs	272
Cottage cheese consumption	r=0.9	19yrs	268
Gasoline pumped in Czechia	r=0.93	20yrs	264
Popularity of the first name Cesar	r=0.92	20yrs	262
Annual book sales in the US	r=0.92	10yrs	262
Sherbet consumption	r=0.9	19yrs	258
Gasoline pumped in Greece	r=0.93	20yrs	254
Popularity of the first name Natasha	r=0.92	20yrs	252
Gasoline pumped in Sweden	r=0.93	20yrs	244
Ice cream consumption	r=0.87	19yrs	243
Popularity of the first name Tristin	r=0.92	20yrs	242
United States music album sales	r=0.85	16yrs	235
Gasoline pumped in Ukraine	r=0.94	19yrs	234
Popularity of the first name Sonia	r=0.92	20yrs	232
Google searches for 'shook'	r=0.84	19yrs	228
The marriage rate in Tennessee	r=0.85	19yrs	228
US production of cottage cheese	r=0.86	19yrs	224
Fossil fuel use in Luxembourg	r=0.91	19yrs	223
Popularity of the first name Irvin	r=0.92	20yrs	222
Kerosene used globally	r=0.93	19yrs	213
Popularity of the first name Kalyn	r=0.92	20yrs	212
US dairy skim solids used to produce cottage cheese	r=0.86	19yrs	212
Arson in Tennessee	r=0.85	20yrs	206
Liquefied petroleum gas used in Barbados	r=0.93	19yrs	203
Popularity of the first name Dillan	r=0.92	20yrs	202
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.87	19yrs	202
GMO use in cotton	r=0.85	20yrs	202
Burglary rates in the US	r=0.85	20yrs	196
Petroluem consumption in Croatia	r=0.93	19yrs	193
Popularity of the first name Alyssia	r=0.92	20yrs	192
GMO use in cotton in Tennessee	r=0.85	18yrs	190
Robberies in Tennessee	r=0.84	20yrs	184
Petroluem consumption in Puerto Rico	r=0.93	19yrs	183
Popularity of the first name Daijah	r=0.92	20yrs	182
Remaining Forest Cover in the Brazilian Amazon	r=0.83	20yrs	177
NASA's budget as a percentage of the total US Federal Budget	r=0.83	20yrs	172
Physical album shipment volume in the United States	r=0.85	20yrs	158

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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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