Top variables that correlate with The number of typists in North Dakota

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Data source: Bureau of Larbor Statistics
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The number of typists in North Dakota correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Roderick	r=0.9	16yrs	366
Viewership count of American Idol Season Finale	r=0.89	16yrs	340
Popularity of the first name Leeann	r=0.9	16yrs	336
Popularity of the first name Breanne	r=0.88	16yrs	332
Kerosene used in Sri Lanka	r=0.88	16yrs	332
Total comments on CGP Grey YouTube videos	r=0.95	8yrs	322
GMO use in corn grown in North Dakota	r=0.86	14yrs	305
Electricity generation in U.S. Virgin Islands	r=0.87	16yrs	304
Fossil fuel use in U.S. Virgin Islands	r=0.87	16yrs	304
Popularity of the first name Arely	r=0.87	16yrs	301
UK Public Library Count	r=0.85	12yrs	272
Fossil fuel use in Denmark	r=0.85	16yrs	271
Total views on CGP Grey YouTube videos	r=0.86	8yrs	264
Popularity of the first name Tianna	r=0.87	16yrs	261
Kerosene used in Angola	r=0.87	16yrs	261
Popularity of the first name Travis	r=0.86	16yrs	250
Kerosene used in Israel	r=0.86	16yrs	250
Popularity of the first name Jamar	r=0.86	16yrs	240
Popularity of the first name Symone	r=0.86	16yrs	230
Popularity of the first name Kelcie	r=0.86	16yrs	220
Liquefied petroleum gas used in Kosovo	r=0.87	11yrs	216
Popularity of the first name Chelsea	r=0.85	16yrs	208
Milk consumption	r=0.84	16yrs	202
Arson in United States	r=0.83	16yrs	199
Burglary rates in the US	r=0.83	16yrs	199
Popularity of the first name Brock	r=0.85	16yrs	198
Cigarette Smoking Rate for US adults	r=0.83	16yrs	192
The distance between Neptune and the Sun	r=0.82	16yrs	192
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.84	16yrs	190
The marriage rate in North Dakota	r=0.82	16yrs	190
Popularity of the first name Kailee	r=0.85	16yrs	188
Popularity of the first name Duane	r=0.85	16yrs	178
Ice cream consumption	r=0.81	16yrs	176
US birth rates of triplets or more	r=0.8	16yrs	174
xkcd comics published about childhood	r=0.83	12yrs	174
Robberies in the US	r=0.8	16yrs	174
Asthma attacks in American children	r=0.8	16yrs	172
The distance between Neptune and Earth	r=0.82	16yrs	172
The distance between Neptune and the moon	r=0.82	16yrs	172
Google searches for 'report UFO sighting'	r=0.78	15yrs	170
Popularity of the first name Nikita	r=0.85	16yrs	168
Remaining Forest Cover in the Brazilian Amazon	r=0.77	16yrs	168
GMO use in cotton	r=0.78	16yrs	167
Verizon Communications' stock price (VZ)	r=-0.89	16yrs	166
ONEOK's stock price (OKE)	r=-0.89	16yrs	166
US household spending on clothin for women	r=0.79	16yrs	166
GMO use in cotton	r=0.76	16yrs	164
US household spending on processed fruits	r=0.78	16yrs	164
US household spending on clothing	r=0.78	16yrs	164
US household spending on books	r=0.78	16yrs	164
U.S. intercountry adoptions	r=0.76	16yrs	161
US household spending on mortgage interest and charges	r=0.76	16yrs	161
Physical album shipment volume in the United States	r=0.75	16yrs	160
US household spending on postage and stationery	r=0.75	16yrs	160
US household spending on clothing for men	r=0.75	16yrs	160
US household spending on vehicle insurance	r=0.75	16yrs	160
Popularity of the first name Michal	r=0.85	16yrs	158
Total length of CGP Grey YouTube videos	r=0.82	8yrs	153
Google searches for 'Matt Parker'	r=0.8	12yrs	150
Popularity of the 'all your base' meme	r=0.75	13yrs	149
United States music album sales	r=0.79	12yrs	146
Pirate attacks globally	r=0.77	10yrs	146
Google searches for 'desktop background'	r=0.77	12yrs	145
Google searches for 't-rex'	r=0.75	15yrs	145
Per capita consumption of margarine	r=0.83	7yrs	144
Total value of all $1 bills printed	r=0.72	16yrs	144
Cottage cheese consumption	r=0.78	16yrs	142
The distance between Neptune and Saturn	r=0.79	16yrs	137
Canned whole evaporated and condensed milk consumption	r=0.78	16yrs	132
GMO use in cotton	r=0.75	16yrs	132
Renewable energy production in Comoros	r=0.84	16yrs	124
Sherbet consumption	r=0.76	16yrs	118
Average views of Numberphile YouTube videos	r=0.78	8yrs	117
Violent crime rates	r=0.71	16yrs	116
Hydopower energy generated in Comoros	r=0.84	16yrs	114
US production of fluid beverage milk	r=0.81	16yrs	108
GMO use in corn grown in North Dakota	r=0.73	14yrs	106
Electricity generation in United Kingdom	r=0.82	16yrs	102
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.82	16yrs	97
Kerosene used in India	r=0.84	16yrs	92
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.8	16yrs	86
Gasoline pumped in Croatia	r=0.83	16yrs	80
US average milk-fat content of cottage cheese	r=0.8	16yrs	74
Gasoline pumped in Japan	r=0.83	16yrs	70
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.79	16yrs	62
Liquefied petroleum gas used in U.S. Virgin Islands	r=0.82	16yrs	58
US average milk-fat content of frozen dairy products	r=0.79	16yrs	52
Popularity of the first name Cameron	r=0.85	16yrs	43
US production of cottage cheese	r=0.75	16yrs	40
Popularity of the first name Derek	r=0.85	16yrs	33
Fossil fuel use in Netherlands Antilles	r=0.81	16yrs	30
US dairy skim solids used to produce cottage cheese	r=0.75	16yrs	28
Popularity of the first name Bryce	r=0.85	16yrs	23
Gasoline pumped in Sweden	r=0.82	16yrs	18
Popularity of the first name Rodney	r=0.85	16yrs	13
Geothermal power generated in Austria	r=0.79	16yrs	7
Swiss cheese consumption	r=0.69	16yrs	3
Popularity of the first name Abbie	r=0.85	16yrs	3
Gasoline pumped in Slovenia	r=0.81	16yrs	-3
Gasoline pumped in Switzerland	r=0.81	16yrs	-13
Fossil fuel use in Croatia	r=0.78	16yrs	-24

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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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