Top variables that correlate with Asthma attacks in American children

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Data source: National Center for Health Statistics
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Asthma attacks in American children correlates with...

Variable	Correlation	Years	Has img?
The number of childcare workers in Alabama	r=0.97	10yrs	No
US production of fluid beverage milk	r=0.92	20yrs	No
The number of bill collectors in Minnesota	r=0.92	17yrs	No
Liquefied petroleum gas used in Kosovo	r=0.92	12yrs	No
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.92	20yrs	No
Burglaries in Tennessee	r=0.9	23yrs	No
Burglaries in Kentucky	r=0.9	23yrs	No
Burglaries in Ohio	r=0.89	23yrs	No
The divorce rate in Michigan	r=0.89	21yrs	No
Popularity of the first name Tristen	r=0.89	23yrs	Yes!
Popularity of the first name Jamar	r=0.88	23yrs	No
Popularity of the first name Alyson	r=0.87	23yrs	No
Cigarette Smoking Rate for US adults	r=0.87	19yrs	No
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.85	20yrs	No
Milk consumption	r=0.83	23yrs	No
The number of cartographers in New York	r=0.81	17yrs	No
Google searches for 'funny cat videos'	r=-0.88	16yrs	No

Asthma attacks in American children also correlates with...

Variable	Correlation	Years	Sys. Score
GMO use in cotton	r=0.85	20yrs	356
US household spending on mortgage interest and charges	r=0.87	20yrs	356
The number of meter readers, utilities in Minnesota	r=0.91	17yrs	350
GMO use in corn grown in Kansas	r=0.9	20yrs	347
Burglary rates in the US	r=0.86	23yrs	346
Popularity of the first name Brennen	r=0.87	23yrs	328
How geeky MrBeast's YouTube video titles are	r=0.91	8yrs	322
The number of first-line retail sales supervisors in Minnesota	r=0.96	10yrs	320
Popularity of the first name Quinten	r=0.87	23yrs	318
The number of computer network architects in Virginia	r=0.97	8yrs	310
Popularity of the first name Molly	r=0.86	23yrs	306
The divorce rate in Nebraska	r=0.89	21yrs	302
The divorce rate in Wisconsin	r=0.89	21yrs	302
The number of chemical technicians in Massachusetts	r=0.9	17yrs	298
Popularity of the first name Jazmine	r=0.86	23yrs	296
Burglaries in Texas	r=0.89	23yrs	290
The number of payroll and timekeeping clerks in South Dakota	r=0.9	17yrs	288
Popularity of the first name Brennan	r=0.86	23yrs	286
The number of career/technical education teachers, secondary school in South Carolina	r=0.95	10yrs	278
Arson in Ohio	r=0.88	23yrs	278
Popularity of the first name Keyon	r=0.86	23yrs	276
GMO use in corn grown in North Dakota	r=0.85	15yrs	274
The divorce rate in Idaho	r=0.87	21yrs	269
Arson in Ohio	r=0.88	23yrs	268
The number of training and development managers in Mississippi	r=0.9	16yrs	267
Popularity of the first name Makayla	r=0.85	23yrs	265
Burglaries in Indiana	r=0.88	23yrs	258
The divorce rate in Mississippi	r=0.86	21yrs	258
Popularity of the first name Trenton	r=0.85	23yrs	255
Burglaries in Michigan	r=0.88	23yrs	248
The divorce rate in West Virginia	r=0.86	21yrs	248
GMO use in cotton	r=0.82	20yrs	247
US household spending on fresh milk and cream	r=0.83	20yrs	246
US household spending on vehicle insurance	r=0.83	20yrs	246
US household spending on prescription drugs	r=0.83	20yrs	246
Burglaries in Wisconsin	r=0.88	23yrs	238
The number of telemarketers in West Virginia	r=0.9	17yrs	230
Air pollution in Atlantic City, New Jersey	r=0.82	23yrs	230
Robberies in Ohio	r=0.88	23yrs	228
Fossil fuel use in Netherlands Antilles	r=0.82	23yrs	228
Kerosene used in India	r=0.84	23yrs	228
Air pollution in Columbia, South Carolina	r=0.8	23yrs	227
Air pollution in New York City	r=0.78	23yrs	227
Robberies in Rhode Island	r=0.88	23yrs	218
The number of typists in Maryland	r=0.9	17yrs	218
The number of brokerage clerks in New Jersey	r=0.9	17yrs	208
Burglaries in Alabama	r=0.87	23yrs	207
The number of computer programmers in West Virginia	r=0.89	17yrs	198
Burglaries in Massachusetts	r=0.87	23yrs	197
Air pollution in Vincennes, Indiana	r=0.8	23yrs	197
Gasoline pumped in Croatia	r=0.83	23yrs	197
GMO use in cotton in Texas	r=0.83	20yrs	188
Burglaries in North Carolina	r=0.87	23yrs	187
The number of tax examiners and collectors, and revenue agents in Puerto Rico	r=0.94	10yrs	187
Kerosene used in Israel	r=0.83	23yrs	187
Burglaries in South Carolina	r=0.87	23yrs	177
Kerosene used in Sri Lanka	r=0.83	23yrs	177
The number of university economics teachers in Florida	r=0.88	17yrs	176
Gasoline pumped in Sweden	r=0.83	23yrs	167
Burglaries in Vermont	r=0.86	23yrs	166
The number of postmasters in Iowa	r=0.89	17yrs	166
Gasoline pumped in Ukraine	r=0.83	23yrs	157
Burglaries in Puerto Rico	r=0.88	21yrs	156
The number of kindergarten teachers in Louisiana	r=0.89	17yrs	156
The number of bill collectors in Maine	r=0.88	17yrs	146
Fossil fuel use in Denmark	r=0.8	23yrs	146
Burglaries in Georgia	r=0.85	23yrs	144
Popularity of the first name Kaylyn	r=0.85	23yrs	140
The number of bill collectors in Mississippi	r=0.88	17yrs	136
Petroluem consumption in Switzerland	r=0.82	23yrs	136
Burglaries in Missouri	r=0.85	23yrs	134
Popularity of the first name Darlene	r=0.85	23yrs	130
The number of bill collectors in West Virginia	r=0.88	17yrs	126
Gasoline pumped in Japan	r=0.81	23yrs	124
Popularity of the first name Tyshawn	r=0.85	23yrs	120
Fossil fuel use in Greece	r=0.78	23yrs	112
Popularity of the first name Jake	r=0.84	23yrs	108
Electricity generation in United Kingdom	r=0.78	23yrs	102
Popularity of the first name Danny	r=0.84	23yrs	98
Liquefied petroleum gas used in Belarus	r=0.8	23yrs	92
Popularity of the first name Abbie	r=0.84	23yrs	88
Liquefied petroleum gas used in Australia	r=0.79	23yrs	81
Popularity of the first name Unique	r=0.84	23yrs	78
Gasoline pumped in Switzerland	r=0.79	23yrs	71
Popularity of the first name Jorden	r=0.84	23yrs	68
Popularity of the first name Brennon	r=0.84	23yrs	58

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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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