Top variables that correlate with Kerosene used in Djibouti

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Data source: Energy Information Administration
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Kerosene used in Djibouti correlates with...

Variable	Correlation	Years	Has img?
How insightful Casually Explained YouTube video titles are	r=0.98	7yrs	Yes!

Kerosene used in Djibouti also correlates with...

Variable	Correlation	Years	Sys. Score
The number of labor relations specialists in Louisiana	r=0.97	10yrs	382
Milk consumption	r=0.88	32yrs	359
The number of judges in South Dakota	r=0.93	18yrs	354
How fun Casually Explained YouTube video titles are	r=0.96	7yrs	353
The number of tax examiners and collectors, and revenue agents in Iowa	r=0.94	12yrs	349
The divorce rate in Colorado	r=0.87	23yrs	321
The marriage rate in Iowa	r=0.87	23yrs	320
The number of tax examiners and collectors, and revenue agents in South Carolina	r=0.93	12yrs	318
Master's degrees awarded in Social sciences and history	r=0.91	10yrs	316
The number of exercise physiologists in Connecticut	r=0.95	10yrs	308
How trendy Deep Look YouTube video titles are	r=0.92	8yrs	303
The number of transportation security screeners in Hawaii	r=0.95	10yrs	298
Bachelor's degrees awarded in Philosophy	r=0.9	10yrs	284
Bachelor's degrees awarded in Social sciences and history	r=0.9	10yrs	284
Cenovus Energy's stock price (CVE)	r=0.88	12yrs	280
How insightful 3Blue1Brown YouTube video titles are	r=0.91	7yrs	270
The number of bill collectors in Texas	r=0.9	19yrs	262
How professional-sounding Casually Explained YouTube video titles are	r=0.9	7yrs	259
Bachelor's degrees awarded in Education	r=0.89	10yrs	252
The number of receptionists in North Dakota	r=0.89	19yrs	250
Popularity of the first name Brook	r=0.84	42yrs	248
Sherbet consumption	r=0.83	32yrs	245
Brick cheese consumption	r=0.84	27yrs	242
The number of pipelayers in Ohio	r=0.9	19yrs	240
Popularity of the first name Aja	r=0.79	42yrs	240
Popularity of the first name Tia	r=0.77	42yrs	237
How 'hip and with it' Matt Parker's YouTube video titles are	r=0.87	11yrs	234
Emmy Awards Ceremony viewership	r=0.77	35yrs	232
Robberies in Pennsylvania	r=0.83	37yrs	230
US household spending on prescription drugs	r=0.84	22yrs	229
The number of postal service machine operators in Alaska	r=0.89	19yrs	228
Robberies in South Carolina	r=0.82	37yrs	228
Customer satisfaction with Whirlpool	r=0.77	28yrs	226
US household spending on fresh milk and cream	r=0.82	22yrs	226
Cigarette Smoking Rate for US adults	r=0.82	21yrs	225
NASA's budget as a percentage of the total US Federal Budget	r=0.64	42yrs	225
Arson in Mississippi	r=0.79	37yrs	224
Air pollution in Youngstown, Ohio	r=0.76	42yrs	220
The distance between Neptune and the Sun	r=0.63	42yrs	219
The distance between Neptune and Earth	r=0.63	42yrs	219
The distance between Neptune and the moon	r=0.63	42yrs	219
The number of data entry keyers in Kansas	r=0.89	19yrs	218
Air pollution in Columbus	r=0.71	42yrs	216
Air pollution in Atlantic City, New Jersey	r=0.72	42yrs	214
The divorce rate in West Virginia	r=0.85	23yrs	213
The number of couriers and messengers in Missouri	r=0.89	19yrs	208
Ice cream consumption	r=0.77	32yrs	206
Popularity of the first name Sommer	r=0.76	42yrs	206
The number of bill collectors in New York	r=0.88	19yrs	198
Cottage cheese consumption	r=0.75	32yrs	193
Popularity of the first name Maria	r=0.74	42yrs	192
Burglaries in North Carolina	r=0.78	37yrs	192
The number of vending machine repairers in Pennsylvania	r=0.88	19yrs	188
Air pollution in St. Marys, Pennsylvania	r=0.79	32yrs	184
Robberies in North Carolina	r=0.78	37yrs	182
The divorce rate in Arkansas	r=0.84	23yrs	182
Popularity of the first name Maribel	r=0.73	42yrs	181
The number of preschool special education teachers in Alaska	r=0.95	10yrs	178
US production of fluid beverage milk	r=0.83	22yrs	178
Air pollution in Washington Court House, Ohio	r=0.79	32yrs	174
The divorce rate in Delaware	r=0.84	23yrs	172
Popularity of the first name Rosario	r=0.73	42yrs	171
Robberies in Mississippi	r=0.76	37yrs	170
The number of MRI technicians in Delaware	r=0.95	10yrs	168
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.83	22yrs	166
Air pollution in Ithaca	r=0.76	32yrs	163
The divorce rate in Idaho	r=0.84	23yrs	162
Popularity of the first name Kenyatta	r=0.73	42yrs	161
Burglaries in Puerto Rico	r=0.84	23yrs	158
The number of university fitness studies teachers in Florida	r=0.88	19yrs	157
The divorce rate in Washington	r=0.84	23yrs	152
Air pollution in Blacksburg, Virginia	r=0.77	32yrs	152
Popularity of the first name Karen	r=0.72	42yrs	150
Robberies in Ohio	r=0.75	37yrs	148
The number of butchers in Maryland	r=0.88	19yrs	147
The divorce rate in Maine	r=0.83	23yrs	140
Popularity of the first name Katlynn	r=0.75	37yrs	139
Robberies in Alabama	r=0.75	37yrs	138
The number of animal control workers in Oregon	r=0.88	19yrs	137
Popularity of the first name Erik	r=0.71	42yrs	128
The number of data entry keyers in South Carolina	r=0.88	19yrs	127
Robberies in Arkansas	r=0.74	37yrs	126
Popularity of the first name Roberto	r=0.71	42yrs	118
Robberies in Virginia	r=0.74	37yrs	116
Popularity of the first name Rodolfo	r=0.71	42yrs	108
Robberies in Wisconsin	r=0.74	37yrs	106
Popularity of the first name Elissa	r=0.71	42yrs	98
Robberies in Puerto Rico	r=0.83	23yrs	96
Popularity of the first name Lamont	r=0.71	42yrs	88
Burglaries in Mississippi	r=0.73	37yrs	85
Popularity of the first name Jovan	r=0.71	42yrs	78
Arson in Missouri	r=0.72	37yrs	74
Popularity of the first name Kaytlyn	r=0.74	37yrs	68
Arson in Pennsylvania	r=0.72	37yrs	64
Popularity of the first name Corrine	r=0.71	42yrs	58
Robberies in Arizona	r=0.72	37yrs	54
Popularity of the first name Kaytlin	r=0.73	38yrs	47
Robberies in Delaware	r=0.72	37yrs	44
Popularity of the first name Cindy	r=0.7	42yrs	36
Motor vehicle thefts in Georgia	r=0.71	37yrs	32

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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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