Top variables that correlate with Canned whole evaporated and condensed milk consumption

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Data source: USDA
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Canned whole evaporated and condensed milk consumption correlates with...

Variable	Correlation	Years	Has img?
China's Rare Earth Element Export Volume	r=0.89	11yrs	No
The number of industrial truck and tractor operators in Wisconsin	r=0.84	19yrs	No
Wins for the Chicago White Sox	r=0.57	32yrs	No

Canned whole evaporated and condensed milk consumption also correlates with...

Variable	Correlation	Years	Sys. Score
How geeky Simone Giertz's YouTube video titles are	r=0.89	8yrs	248
How 'hip and with it' Simone Giertz's YouTube video titles are	r=0.86	8yrs	244
Votes for Libertarian Senators in California	r=0.89	7yrs	243
Motor vehicle thefts in Rhode Island	r=0.77	32yrs	216
Burglaries in Texas	r=0.75	32yrs	213
Motor vehicle thefts in New Hampshire	r=0.74	32yrs	212
Popularity of the first name Melvin	r=0.79	32yrs	210
Popularity of the first name Annette	r=0.77	32yrs	207
Popularity of the first name Danny	r=0.76	32yrs	206
Geothermal power generated in Austria	r=0.84	17yrs	196
Air pollution in Riverside, California	r=0.77	32yrs	192
Air pollution in Rockland, Maine	r=0.77	32yrs	192
NASA's budget appropriation	r=0.68	32yrs	191
Air pollution in Los Angeles	r=0.74	32yrs	190
US Hospital Occupancy Rate	r=0.8	18yrs	189
Coterra Energy's stock price (CTRA)	r=-0.88	20yrs	189
Pioneer Natural Resources Company's stock price (PXD)	r=-0.84	20yrs	185
Gasoline pumped in Austria	r=0.69	32yrs	185
Asthma attacks in American children	r=0.7	23yrs	184
Chevron's stock price (CVX)	r=-0.83	20yrs	184
Kerosene used in Macau	r=0.68	32yrs	184
Motor vehicle thefts in Texas	r=0.74	32yrs	182
Popularity of the first name Marvin	r=0.76	32yrs	176
Asthma attacks in American children	r=0.65	23yrs	176
The number of technical writers in Washington	r=0.83	19yrs	174
Motor vehicle thefts in Texas	r=0.74	32yrs	172
The number of sewing machine operators in Kansas	r=0.81	19yrs	172
Total length of Deep Look YouTube videos	r=0.8	8yrs	170
Google searches for 't-rex'	r=0.78	18yrs	168
Popularity of the first name Lacy	r=0.76	32yrs	166
US birth rates of triplets or more	r=0.7	20yrs	164
Motor vehicle thefts in Texas	r=0.74	32yrs	162
Popularity of the first name Jamar	r=0.76	32yrs	156
EOG Resources' stock price (EOG)	r=-0.83	20yrs	154
Air pollution in Spokane, Washington	r=0.72	32yrs	154
Arson in Tennessee	r=0.73	32yrs	150
Kerosene used in Belize	r=0.66	32yrs	150
Popularity of the first name Lynette	r=0.76	32yrs	146
Halliburton Company's stock price (HAL)	r=-0.83	20yrs	144
The number of purchasing managers in Maine	r=0.81	19yrs	142
Air pollution in Rockland, Maine	r=0.7	32yrs	141
Kerosene used in Brazil	r=0.66	32yrs	140
Robberies in Texas	r=0.72	32yrs	138
Popularity of the first name Nelson	r=0.75	32yrs	134
The number of telecommunications line installers and repairers in Montana	r=0.81	19yrs	132
Kerosene used in French Polynesia	r=0.66	32yrs	130
Burglaries in Colorado	r=0.71	32yrs	127
Popularity of the first name Tanya	r=0.75	32yrs	124
The number of tapers in New Mexico	r=0.83	17yrs	122
Gasoline pumped in Uzbekistan	r=0.67	30yrs	120
Robberies in Massachusetts	r=0.71	32yrs	117
Popularity of the first name Antoine	r=0.75	32yrs	114
The number of university physics teachers in Oklahoma	r=0.83	17yrs	112
Gasoline pumped in Finland	r=0.65	32yrs	109
Arson in Arkansas	r=0.7	32yrs	106
Popularity of the first name Ashly	r=0.75	32yrs	104
The number of librarians in Tennessee	r=0.83	16yrs	102
Jet fuel used in French Polynesia	r=0.65	32yrs	99
Motor vehicle thefts in Massachusetts	r=0.7	32yrs	96
Popularity of the first name Mandy	r=0.75	32yrs	94
The number of advertising and promotions managers in West Virginia	r=0.82	18yrs	92
Kerosene used in Hong Kong	r=0.65	32yrs	89
Motor vehicle thefts in Missouri	r=0.7	32yrs	86
Popularity of the first name Jamaal	r=0.75	32yrs	84
The number of librarians in California	r=0.82	16yrs	80
Jet fuel used in Syria	r=0.65	32yrs	79
Violent crime rates	r=0.64	32yrs	76
Popularity of the first name Bianca	r=0.74	32yrs	72
The number of industrial production managers in Delaware	r=0.8	19yrs	70
Jet fuel used in American Samoa	r=0.64	32yrs	68
Popularity of the first name Bryant	r=0.74	32yrs	62
The number of brickmasons in Missouri	r=0.8	19yrs	60
Motor vehicle thefts	r=0.69	32yrs	54
Popularity of the first name Shaun	r=0.74	32yrs	52
Petroluem consumption in Colombia	r=-0.8	32yrs	52
The number of hoist and winch operators in Oregon	r=0.8	19yrs	50
Popularity of the first name Joey	r=0.74	32yrs	42
Burglary rates in the US	r=0.67	32yrs	41
The number of electric motor repairers in Florida	r=0.79	19yrs	38
Gasoline pumped in Chile	r=-0.77	32yrs	38
Popularity of the first name Jamel	r=0.74	32yrs	32
Robberies in the US	r=0.66	32yrs	30
The number of prepress technicians and workers in Georgia	r=0.79	19yrs	28
Gasoline pumped in South Korea	r=-0.77	32yrs	28
Popularity of the first name Lacie	r=0.74	32yrs	22
Arson in United States	r=0.65	32yrs	18
The number of furniture finishers in Georgia	r=0.79	19yrs	18
Jet fuel used in Taiwan	r=-0.77	32yrs	18
Popularity of the first name Lester	r=0.74	32yrs	12
The number of millwrights in Idaho	r=0.79	19yrs	8
Biomass power generated in United States	r=-0.72	32yrs	6
The number of maintenance workers, machinery in Iowa	r=0.79	19yrs	-2
Jet fuel used in Guinea	r=-0.74	32yrs	-4
Arson in Colorado	r=0.69	32yrs	-6
The number of computer programmers in Maryland	r=0.78	19yrs	-12
Petroluem consumption in Pakistan	r=-0.75	32yrs	-14
Burglaries in Massachusetts	r=0.69	32yrs	-16
The number of transportation inspectors in Maryland	r=0.79	19yrs	-22
Renewable energy production in Belize	r=-0.7	32yrs	-26

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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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