Top variables that correlate with The number of furniture finishers in New York

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Data source: Bureau of Larbor Statistics
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The number of furniture finishers in New York correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Nina	r=0.98	20yrs	412
Popularity of the first name Philip	r=0.96	20yrs	408
Popularity of the first name Anne	r=0.96	20yrs	408
Number of articles Matt Levine published on Bloomberg on Mondays	r=0.97	9yrs	400
Carjackings in the US	r=0.9	19yrs	378
Google searches for 'Panama Canal'	r=0.94	19yrs	378
Remaining Forest Cover in the Brazilian Amazon	r=0.9	20yrs	377
Google searches for 'panama canal'	r=0.93	19yrs	376
Kerosene used in Sierra Leone	r=0.93	19yrs	373
Kerosene used in Philippines	r=0.92	19yrs	372
Physical album shipment volume in the United States	r=0.9	20yrs	371
Gasoline pumped in Italy	r=0.9	20yrs	370
Number of articles Matt Levine published on Bloomberg.com	r=0.95	9yrs	368
Popularity of the first name Spencer	r=0.95	20yrs	347
Viewership count for Days of Our Lives	r=0.9	19yrs	344
US birth rates of triplets or more	r=0.86	19yrs	342
NASA's budget as a percentage of the total US Federal Budget	r=0.87	20yrs	342
Kerosene used in Norway	r=0.9	20yrs	340
GMO use in cotton	r=0.86	20yrs	338
Google searches for 'black holes'	r=0.88	19yrs	338
Popularity of the first name Suzanne	r=0.95	20yrs	337
U.S. intercountry adoptions	r=0.88	19yrs	337
Air pollution in Albany, New York	r=0.85	20yrs	336
US household spending on books	r=0.86	20yrs	335
US average milk-fat content of frozen dairy products	r=0.88	19yrs	334
Car crashes in the US	r=0.91	12yrs	332
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.87	19yrs	332
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.85	19yrs	330
Kerosene used in Macau	r=0.9	19yrs	328
Popularity of the first name Nicole	r=0.94	20yrs	326
Kerosene used in Seychelles	r=0.9	19yrs	318
Number of articles Matt Levine published on Bloomberg on Wednesdays	r=0.95	9yrs	318
Popularity of the first name Cassidy	r=0.94	20yrs	316
Number of articles Matt Levine published on Bloomberg on Tuesdays	r=0.94	9yrs	316
Number of articles Matt Levine published on Bloomberg on Thursdays	r=0.94	9yrs	316
Kerosene used in Tunisia	r=0.9	19yrs	308
Popularity of the first name Christine	r=0.94	20yrs	306
Google searches for 'learn spanish'	r=0.86	19yrs	306
Popularity of the first name Phillip	r=0.94	20yrs	296
Number of Automotive Franchise Establishments in the US	r=0.9	8yrs	291
Popularity of the first name Lisa	r=0.94	20yrs	286
Divorce rates in the United Kingdom	r=0.88	10yrs	280
Popularity of the first name Jessie	r=0.94	20yrs	276
Gasoline pumped in United Kingdom	r=0.9	20yrs	270
How insightful Technology Connections YouTube video titles are	r=0.89	8yrs	268
Popularity of the first name Ann	r=0.94	20yrs	266
Bloomberg Money Stuff articles about insider trading	r=0.89	9yrs	264
Jet fuel used in Barbados	r=0.9	19yrs	258
Bloomberg Money Stuff articles about the SEC	r=0.85	9yrs	258
Per capita consumption of margarine	r=0.89	7yrs	258
Popularity of the first name Kaley	r=0.94	20yrs	256
Kerosene used in Indonesia	r=0.9	19yrs	248
Popularity of the first name Kurt	r=0.94	20yrs	246
Gasoline pumped in Portugal	r=0.89	20yrs	238
Popularity of the first name Jarred	r=0.94	20yrs	236
Motor vehicle thefts	r=0.84	20yrs	234
Arson in United States	r=0.83	20yrs	233
The distance between Neptune and the Sun	r=0.85	20yrs	230
The distance between Neptune and Earth	r=0.85	20yrs	230
The distance between Neptune and the moon	r=0.85	20yrs	230
Kerosene used in Hong Kong	r=0.89	19yrs	227
AIG's stock price (AIG)	r=0.84	20yrs	227
US household spending on clothing	r=0.84	20yrs	227
Popularity of the first name Joanne	r=0.94	20yrs	226
US household spending on postage and stationery	r=0.83	20yrs	226
US household spending on clothing for men	r=0.83	20yrs	226
US household spending on floor coverings	r=0.82	20yrs	224
Popularity of the first name Alix	r=0.94	20yrs	216
Kerosene used globally	r=0.88	19yrs	216
Gasoline pumped in Austria	r=0.88	20yrs	206
Popularity of the first name John	r=0.93	20yrs	204
Robberies in New York	r=0.83	20yrs	203
Petroluem consumption in Japan	r=0.88	20yrs	196
Air pollution in Watertown, New York	r=0.81	20yrs	196
Popularity of the first name Hannah	r=0.93	20yrs	194
Total value of all $1 bills printed	r=0.79	20yrs	194
Lloyds Banking Group's stock price (LYG)	r=0.81	20yrs	192
US household spending on clothin for women	r=0.81	20yrs	192
US household spending on transportation	r=0.81	20yrs	192
Value of the Victoria's Secret Annual Fantasy Bra	r=0.82	17yrs	191
Citigroup's stock price (C)	r=0.8	20yrs	191
US Employment Rate	r=0.78	20yrs	188
US household spending on prescription drugs	r=0.78	20yrs	188
Kerosene used in Japan	r=0.88	20yrs	186
Popularity of the first name Amber	r=0.93	20yrs	184
Gasoline pumped in Luxembourg	r=0.88	20yrs	176
Ice cream consumption	r=0.82	19yrs	170
Kerosene used in Nepal	r=0.88	19yrs	166
Arson in New York	r=0.82	20yrs	162
The distance between Neptune and Mercury	r=0.78	20yrs	160
Cottage cheese consumption	r=0.8	19yrs	158
Petroluem consumption in Puerto Rico	r=0.88	19yrs	156
Google searches for 'snoop dog'	r=0.83	19yrs	156
Sherbet consumption	r=0.8	19yrs	148
Motor vehicle thefts in New York	r=0.8	20yrs	148
Kerosene used in Taiwan	r=0.88	19yrs	146
Google searches for 'oprah winfrey'	r=0.79	19yrs	140
Robberies in the US	r=0.79	20yrs	137
US milk fat used to produce fluid beverage milk	r=0.79	19yrs	128
Violent crime rates	r=0.77	20yrs	124
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.81	19yrs	118

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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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