Top variables that correlate with The number of tax preparers in North Dakota

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

Variable	Correlation	Years	Sys. Score
Google searches for 'headache remedies'	r=0.91	16yrs	370
Hydopower energy generated in Greenland	r=0.91	16yrs	370
Biomass power generated in Romania	r=0.91	16yrs	370
Gasoline pumped in Liberia	r=0.93	16yrs	370
Annual Revenue of the Lego Group	r=0.91	16yrs	368
Popularity of the first name Abel	r=0.92	16yrs	368
Popularity of the first name Aisha	r=0.91	16yrs	367
Popularity of the first name Easton	r=0.91	16yrs	367
How professional-sounding MinuteEarth YouTube video titles are	r=0.95	7yrs	352
Biomass power generated in Nigeria	r=0.9	16yrs	338
Popularity of the first name Piper	r=0.91	16yrs	337
Patents granted in the US	r=0.87	16yrs	337
Google searches for 'how to go to space'	r=0.89	16yrs	337
Novo Nordisk's stock price (NVO)	r=0.9	16yrs	337
US household spending on rented dwellings	r=0.9	16yrs	337
Google searches for 'cute cats'	r=0.88	16yrs	336
Tractor Supply Company's stock price (TSCO)	r=0.89	16yrs	336
US household spending on healthcare	r=0.89	16yrs	336
China's Annual Passenger Car Production	r=0.88	16yrs	334
Novartis AG's stock price (NVS)	r=0.88	16yrs	334
The distance between Saturn and the Sun	r=0.87	16yrs	334
The distance between Saturn and Earth	r=0.87	16yrs	334
The distance between Saturn and the moon	r=0.87	16yrs	334
US household spending on health insurance	r=0.88	16yrs	334
Gasoline pumped in Brunei	r=0.92	16yrs	328
Popularity of the first name Lionel	r=0.91	16yrs	327
Gasoline pumped in Tanzania	r=0.92	16yrs	318
Popularity of the first name Nolan	r=0.9	16yrs	316
Amazon's Annual Outbound Shipping Expenditure in Millions	r=0.91	11yrs	310
Popularity of the 'red pill blue pill' meme	r=0.88	14yrs	310
Gasoline pumped in Zambia	r=0.92	16yrs	308
Patents granted in the US	r=0.86	16yrs	308
Blue cheese consumption	r=0.85	16yrs	307
Popularity of the first name Annalise	r=0.9	16yrs	306
Number of internet users	r=0.89	13yrs	306
GMO use in cotton	r=0.87	16yrs	306
McKesson's stock price (MCK)	r=0.88	16yrs	304
Number of households headed by single fathers in the United States	r=0.86	16yrs	302
Total annual sales revenue of Ford Motors in Canada	r=0.86	16yrs	302
Annual US household spending on telephone services	r=0.87	16yrs	302
Apple's annual net income	r=0.86	15yrs	300
US Biomass Energy Production	r=0.86	14yrs	299
US dairy skim solids used to produce yogurt, nonfrozen	r=0.85	16yrs	298
US average dairy skim-solid content of yogurt, nonfrozen	r=0.86	16yrs	298
Votes for Republican Senators in North Dakota	r=0.93	6yrs	298
Petroluem consumption in Liberia	r=0.91	16yrs	297
Gasoline pumped in Uruguay	r=0.91	16yrs	287
How professional-sounding Tom Scott's YouTube video titles are	r=0.89	11yrs	286
Global Apple iPhone Sales in Q3	r=0.88	12yrs	280
Global revenue generated by Unilever Group	r=0.87	13yrs	280
Percentage of Americans with social media profiles	r=0.85	12yrs	277
Gasoline pumped in Algeria	r=0.9	16yrs	276
Google searches for 'two day shipping'	r=0.87	16yrs	274
The distance between Saturn and Mercury	r=0.87	16yrs	274
Popularity of the first name Quinn	r=0.9	16yrs	266
CVS stock price (CVS)	r=0.87	16yrs	266
Google searches for 'ice bath'	r=0.87	16yrs	264
Popularity of the first name Vivian	r=0.9	16yrs	256
Google searches for 'how to calculate a correlation'	r=0.89	13yrs	254
Gilead Sciences' stock price (GILD)	r=0.86	16yrs	251
Popularity of the first name Clara	r=0.9	16yrs	246
Google searches for 'how to make baby'	r=0.87	16yrs	244
Regeneron Pharmaceuticals' stock price (REGN)	r=0.86	16yrs	241
Nuclear power generation in India	r=0.9	16yrs	238
Popularity of the first name Genevieve	r=0.9	16yrs	236
Google searches for 'tummy ache'	r=0.86	16yrs	232
Bristol-Myers Squibb's stock price (BMY)	r=0.85	16yrs	230
Geothermal power generated in New Zealand	r=0.9	16yrs	228
Popularity of the first name Ellie	r=0.9	16yrs	226
Amazon's shipping revenue in millions of dollars	r=0.88	11yrs	226
Google searches for 'highest paying jobs'	r=0.86	16yrs	222
Baidu's stock price (BIDU)	r=0.87	14yrs	220
Biomass power generated in Zambia	r=0.9	16yrs	218
Popularity of the first name Juliette	r=0.9	16yrs	216
Google searches for 'i have a headache'	r=0.86	16yrs	212
Fossil fuel use in Bolivia	r=0.89	16yrs	207
Popularity of the first name Harper	r=0.9	16yrs	206
Google searches for 'what is my zodiac sign'	r=0.85	16yrs	201
Wind power generated in Bulgaria	r=0.89	16yrs	197
US kids in public school	r=0.84	16yrs	196
Popularity of the first name Grayson	r=0.89	16yrs	194
Google searches for 'how to make baby'	r=0.85	16yrs	191
Biomass power generated in Italy	r=0.89	16yrs	187
Popularity of the first name Alice	r=0.89	16yrs	184
Google searches for 'i cant even'	r=0.85	16yrs	181
Electricity generation in Nicaragua	r=0.89	16yrs	177
Popularity of the first name Sawyer	r=0.89	16yrs	174
Electricity generation in Nigeria	r=0.89	16yrs	167
Average milk produced per cow in the US	r=0.84	16yrs	166
Popularity of the first name Scarlett	r=0.89	16yrs	164
Biomass power generated in Singapore	r=0.89	16yrs	157
Popularity of the first name Muhammad	r=0.89	16yrs	154
Google searches for 'Smores'	r=0.87	12yrs	150
Biomass power generated in Brazil	r=0.88	16yrs	146
Number of Lawyers in the United States	r=0.84	16yrs	145
Popularity of the first name Jayce	r=0.89	16yrs	144
U.S. direct investment abroad	r=0.84	16yrs	134
Rolls-Royce annual production volume	r=0.84	15yrs	129
Google searches for 'i am tired'	r=0.84	16yrs	58
Google searches for 'movie theater showtimes'	r=0.85	16yrs	46
Google searches for 'scooby doo where are you'	r=0.84	16yrs	34

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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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