Top variables that correlate with The number of production, planning, and expediting clerks in Maine

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Data source: Bureau of Larbor Statistics
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The number of production, planning, and expediting clerks in Maine correlates with...

Variable	Correlation	Years	Sys. Score
Nokia Oyj's stock price (NOK)	r=0.89	20yrs	340
Popularity of the first name Lidia	r=0.88	20yrs	336
Popularity of the first name Cordell	r=0.87	20yrs	335
Popularity of the first name Jamarcus	r=0.87	20yrs	335
Jet fuel used in Bermuda	r=0.87	19yrs	334
Liquefied petroleum gas used in Croatia	r=0.86	19yrs	332
xkcd comics published about romance	r=0.87	16yrs	308
Popularity of the first name Jamari	r=0.86	20yrs	304
Google searches for 'desktop background'	r=0.87	16yrs	304
Wind power generated in Fiji	r=0.88	15yrs	304
Google searches for 'Britney Spears'	r=0.86	15yrs	302
Popularity of the first name Hayden	r=0.85	20yrs	292
Popularity of the first name Dane	r=0.85	20yrs	282
Popularity of the first name Nataly	r=0.85	20yrs	272
Gasoline pumped in Kosovo	r=0.89	14yrs	272
Popularity of the first name Shyla	r=0.85	20yrs	262
Popularity of the first name Jordin	r=0.85	20yrs	252
Banco Santander's stock price (SAN)	r=0.84	20yrs	227
Banco Bilbao Vizcaya Argentaria's stock price (BBVA)	r=0.84	20yrs	227
Orange's stock price (ORAN)	r=0.83	20yrs	196
Google searches for 't-rex'	r=0.78	19yrs	188
US average dairy skim-solid content of whey products (net)	r=0.79	19yrs	186
Annual US household spending on mortgage interest and charges	r=0.77	20yrs	186
US household spending on natural gas	r=0.77	20yrs	186
Gasoline pumped in American Samoa	r=0.84	19yrs	184
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.78	19yrs	184
Kerosene used in Ghana	r=0.84	19yrs	174
xkcd comics published about childhood	r=0.8	16yrs	173
How trendy SmarterEveryDay YouTube video titles are	r=-0.9	16yrs	173
How 'hip and with it' SmarterEveryDay YouTube video titles are	r=-0.89	16yrs	172
How trendy The Game Theorists YouTube video titles are	r=-0.91	14yrs	172
Popularity of the 'thats what she said' meme	r=0.74	17yrs	166
Asthma prevalence in American children	r=0.75	17yrs	165
The number of movies Mila Kunis appeared in	r=0.71	20yrs	165
Jet fuel used in Kyrgyzstan	r=0.84	19yrs	164
US music album sales	r=0.78	16yrs	164
United States music album sales	r=0.78	16yrs	164
Sherbet consumption	r=0.71	19yrs	164
Robberies in the US	r=0.7	20yrs	164
Number of registered Yamaha motorcycles in the UK	r=0.75	19yrs	162
Global Per Capita Rice Consumption	r=0.76	17yrs	162
US household spending on mortgage interest and charges	r=0.74	20yrs	162
GMO use in cotton	r=0.71	20yrs	160
GMO use in cotton	r=0.7	20yrs	159
Telefónica's stock price (TEF)	r=0.82	20yrs	154
National Lacrosse Champions' Final Point	r=0.69	20yrs	154
Annual Email Spam Rates	r=0.69	20yrs	154
Nielsen Ranking of Smallville Season Finale	r=0.83	9yrs	151
Global iPod Sales	r=0.83	9yrs	151
xkcd comics published about sarcasm	r=0.72	16yrs	146
Popularity of the 'rickroll' meme	r=0.69	17yrs	144
Google searches for 'Tamagotchi'	r=0.83	15yrs	142
Asthma prevalence in American children	r=0.7	17yrs	142
Burglary rates in the US	r=0.66	20yrs	142
Popularity of the 'balloon boy' meme	r=0.7	14yrs	142
ArcelorMittal's stock price (MT)	r=0.8	20yrs	141
How provocative Vihart's YouTube video titles are	r=0.79	14yrs	140
Popularity of the first name Heidi	r=0.85	20yrs	137
Eni S.p.A.'s stock price (E)	r=0.78	20yrs	128
Annual US household spending on vehicle insurance	r=0.71	20yrs	128
Popularity of the first name Chris	r=0.85	20yrs	127
Google searches for 'Stand-Up Maths'	r=0.78	16yrs	126
US production of fluid beverage milk	r=0.71	19yrs	126
Hydopower energy generated in Puerto Rico	r=0.82	19yrs	124
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.78	20yrs	118
US household spending on vehicle insurance	r=0.71	20yrs	118
Popularity of the first name Jaelyn	r=0.85	20yrs	117
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.71	19yrs	115
Gasoline pumped in Bosnia and Herzegovina	r=0.83	19yrs	113
Google searches for 'housing prices'	r=0.77	15yrs	113
How good Technology Connections YouTube video titles are	r=0.81	8yrs	112
Popularity of the first name Cale	r=0.85	20yrs	107
US household spending on fresh milk and cream	r=0.69	20yrs	104
Petroluem consumption in Syria	r=0.82	19yrs	102
How professional-sounding CGP Grey YouTube video titles are	r=0.76	12yrs	98
Popularity of the first name Valeria	r=0.84	20yrs	96
Milk consumption	r=0.68	19yrs	96
US household spending on entertainment	r=0.69	20yrs	94
Fossil fuel use in Ireland	r=0.79	19yrs	90
Popularity of the first name Madalyn	r=0.84	20yrs	86
BP's stock price (BP)	r=0.75	20yrs	86
How nerdy SciShow Space YouTube video titles are	r=0.74	9yrs	82
Biomass power generated in Jordan	r=0.79	19yrs	80
Popularity of the first name Angie	r=0.84	20yrs	76
How fun The Game Theorists YouTube video titles are	r=-0.9	14yrs	71
Biomass power generated in Sudan	r=0.79	19yrs	70
NatWest Group's stock price (NWG)	r=0.76	15yrs	70
Popularity of the first name Cristopher	r=0.84	20yrs	66
Petroluem consumption in American Samoa	r=0.81	19yrs	60
FirstEnergy's stock price (FE)	r=0.72	20yrs	59
Popularity of the first name Jayda	r=0.84	20yrs	56
Liquefied petroleum gas used in Austria	r=0.8	20yrs	50
Popularity of the first name Brady	r=0.83	20yrs	44
TotalEnergies SE's stock price (TTE)	r=0.69	20yrs	44
Kerosene used in Benin	r=0.81	19yrs	40
Popularity of the first name Destiney	r=0.83	20yrs	34
Gasoline pumped in Greece	r=0.8	20yrs	30
Kerosene used in Tanzania	r=0.81	19yrs	20
Fossil fuel use in Greenland	r=0.78	19yrs	8
Gasoline pumped in Lithuania	r=0.79	20yrs	-2

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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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