Top variables that correlate with Arson in Arizona

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Data source: FBI Criminal Justice Information Services
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Arson in Arizona correlates with...

Variable	Correlation	Years	Has img?
Popularity of the first name Shaun	r=0.92	38yrs	Yes!
Popularity of the first name Antwan	r=0.92	38yrs	Yes!
US household spending on mortgage interest and charges	r=0.9	23yrs	No
Kerosene used in Turkiye	r=0.85	38yrs	Yes!
Cigarette Smoking Rate for US adults	r=0.84	21yrs	No
Lebron James' Regular Season Point Total	r=0.8	19yrs	No
Milk consumption	r=0.79	32yrs	No
Viewership count for Days of Our Lives	r=0.74	37yrs	No

Arson in Arizona also correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Antoine	r=0.92	38yrs	390
Google searches for 'desktop background'	r=0.91	16yrs	370
United States music album sales	r=0.9	16yrs	367
Popularity of the first name Maryann	r=0.92	38yrs	360
Petroluem consumption in Bulgaria	r=0.86	37yrs	350
Popularity of the first name Joel	r=0.91	38yrs	349
Gasoline pumped in Bulgaria	r=0.85	37yrs	349
Kerosene used in Mexico	r=0.86	35yrs	348
BP's stock price (BP)	r=0.88	21yrs	342
US production of fluid beverage milk	r=0.88	22yrs	340
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.89	22yrs	340
Popularity of the first name Jermaine	r=0.91	38yrs	339
The number of computer programmers in Arizona	r=0.85	20yrs	335
The number of chemical engineers in Arizona	r=0.86	20yrs	335
The number of library technicians in Arizona	r=0.86	20yrs	335
Popularity of the first name Dewayne	r=0.91	38yrs	329
Popularity of the first name Jeff	r=0.91	38yrs	319
Popularity of the first name Kimberly	r=0.9	38yrs	308
xkcd comics published about sarcasm	r=0.86	16yrs	307
Popularity of the first name Randy	r=0.9	38yrs	298
Popularity of the first name Sonya	r=0.9	38yrs	288
Bachelor's degrees awarded in Liberal arts	r=0.88	10yrs	281
Popularity of the first name Sonja	r=0.9	38yrs	278
Associates degrees awarded in Management information systems	r=0.86	11yrs	278
The distance between Neptune and Earth	r=0.82	38yrs	244
The distance between Neptune and the moon	r=0.82	38yrs	244
The distance between Neptune and the Sun	r=0.81	38yrs	242
Popularity of the first name Maurice	r=0.9	38yrs	238
Remaining Forest Cover in the Brazilian Amazon	r=0.75	36yrs	236
GMO use in cotton	r=0.85	23yrs	234
Popularity of the first name Janice	r=0.9	38yrs	228
Viewership count of American Idol Season Finale	r=0.81	21yrs	228
Customer satisfaction with FedEx	r=0.78	28yrs	228
GMO use in cotton	r=0.8	23yrs	227
Asthma attacks in American children	r=0.79	23yrs	227
US household spending on postage and stationery	r=0.82	23yrs	227
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.82	21yrs	225
National Lacrosse Champions' Final Point	r=0.77	25yrs	222
US household spending on fresh milk and cream	r=0.79	23yrs	222
Popularity of the first name Brenton	r=0.9	38yrs	218
The distance between Neptune and Mercury	r=0.8	38yrs	210
Popularity of the first name Katy	r=0.9	38yrs	208
Hydopower energy generated in Puerto Rico	r=0.83	37yrs	204
Cottage cheese consumption	r=0.74	32yrs	202
Popularity of the first name Jamar	r=0.9	38yrs	198
The number of switchboard operators in Arizona	r=0.83	20yrs	196
Asthma attacks in American children	r=0.77	23yrs	194
Asthma attacks in American children	r=0.77	23yrs	194
Banco Bilbao Vizcaya Argentaria's stock price (BBVA)	r=0.81	21yrs	194
Google searches for 'how to do magic'	r=0.81	19yrs	193
Gasoline pumped in Somalia	r=0.84	37yrs	192
Average number of milk cows in the United States	r=0.73	38yrs	192
GMO use in cotton	r=0.77	23yrs	192
Asthma prevalence in American children	r=0.8	17yrs	192
US household spending on natural gas	r=0.77	23yrs	190
Popularity of the first name Adrianne	r=0.9	38yrs	188
Asthma attacks in American children	r=0.73	23yrs	188
Asthma attacks in American children	r=0.73	23yrs	188
US household spending on vehicle insurance	r=0.76	23yrs	188
Sales of LP/Vinyl Albums	r=-0.85	30yrs	185
U.S. intercountry adoptions	r=0.74	23yrs	185
US household spending on prescription drugs	r=0.73	23yrs	184
USA Population	r=-0.81	38yrs	180
Liquefied petroleum gas used in Denmark	r=0.81	38yrs	179
Sherbet consumption	r=0.72	32yrs	178
Popularity of the first name David	r=0.89	38yrs	176
Kerosene used in Israel	r=0.8	38yrs	168
Popularity of the first name Angela	r=0.89	38yrs	166
Banco Santander's stock price (SAN)	r=0.8	21yrs	162
Jet fuel used in American Samoa	r=0.8	37yrs	156
The number of file clerks in Arizona	r=0.8	20yrs	151
Vodafone Group's stock price (VOD)	r=0.79	21yrs	150
Kerosene used in Brazil	r=0.8	37yrs	146
HSBC Holdings' stock price (HSBC)	r=0.78	21yrs	139
The number of postmasters in Arizona	r=0.78	20yrs	138
Kerosene used in Norway	r=0.79	38yrs	136
Ice cream consumption	r=0.66	32yrs	130
Eni S.p.A.'s stock price (E)	r=0.78	21yrs	129
The number of Breweries in the United States	r=-0.86	33yrs	128
The number of telemarketers in Arizona	r=0.76	20yrs	126
Gasoline pumped in Ukraine	r=0.83	30yrs	124
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.78	22yrs	117
Telefónica's stock price (TEF)	r=0.75	21yrs	114
Kerosene used in Australia	r=0.76	38yrs	112
Average milk produced per cow in the US	r=-0.83	38yrs	105
Kerosene used in Macau	r=0.77	37yrs	102
Kerosene used in Pakistan	r=0.77	37yrs	92
American cheese consumption	r=-0.79	32yrs	90
Gasoline pumped in Austria	r=0.75	38yrs	80
Kerosene used in Egypt	r=0.76	37yrs	70
Petroluem consumption in Romania	r=0.76	37yrs	60
Gasoline pumped in Albania	r=0.75	37yrs	49
Kerosene used in Bolivia	r=0.75	37yrs	39

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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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