Top variables that correlate with Burglaries in South Dakota

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Data source: FBI Criminal Justice Information Services
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Burglaries in South Dakota correlates with...

Variable	Correlation	Years	Has img?
Popularity of the first name Dominique	r=0.95	38yrs	Yes!
Viewership count for Days of Our Lives	r=0.92	37yrs	Yes!
The distance between Neptune and Earth	r=0.91	38yrs	Yes!
Frozen yogurt consumption	r=0.9	32yrs	No
Average number of comments on Vihart's YouTube videos	r=0.85	14yrs	No

Burglaries in South Dakota also correlates with...

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.91	36yrs	394
Popularity of the first name Rachel	r=0.94	38yrs	394
Popularity of the first name Monica	r=0.94	38yrs	394
The distance between Neptune and the Sun	r=0.91	38yrs	392
The distance between Neptune and Mercury	r=0.91	38yrs	392
Kerosene used in Thailand	r=0.92	37yrs	390
Popularity of the first name Tiffani	r=0.94	38yrs	364
NASA's budget as a percentage of the total US Federal Budget	r=0.89	38yrs	364
The distance between Neptune and the moon	r=0.91	38yrs	362
Kerosene used in Argentina	r=0.9	37yrs	356
Kerosene used in Uruguay	r=0.89	37yrs	355
Popularity of the first name Domonique	r=0.94	38yrs	354
Popularity of the first name Rebecca	r=0.93	38yrs	342
Total views on CGP Grey YouTube videos	r=0.9	12yrs	339
Popularity of the first name Rachael	r=0.93	38yrs	332
Kerosene used in Australia	r=0.88	38yrs	324
Popularity of the first name Deanna	r=0.93	38yrs	322
Kerosene used in Egypt	r=0.88	37yrs	314
Popularity of the first name Breanne	r=0.93	38yrs	312
Gasoline pumped in Austria	r=0.87	38yrs	303
Popularity of the first name Monika	r=0.93	38yrs	302
Gasoline pumped in France	r=0.87	38yrs	293
Popularity of the first name Marlena	r=0.93	38yrs	292
Kerosene used in Norway	r=0.87	38yrs	283
Popularity of the first name Eboni	r=0.93	38yrs	282
Associates degrees awarded in Criminal justice and corrections	r=0.86	11yrs	278
Associates degrees awarded in Visual and performing arts	r=0.86	11yrs	278
Popularity of the first name Nikole	r=0.93	38yrs	272
Petroluem consumption in Nauru	r=0.87	37yrs	272
How nerdy 3Blue1Brown YouTube video titles are	r=0.89	8yrs	268
Bachelor's degrees awarded in linguistics	r=0.86	10yrs	263
Popularity of the first name Kenyatta	r=0.93	38yrs	262
Petroluem consumption in North Korea	r=0.87	37yrs	262
Popularity of the first name Brandon	r=0.92	38yrs	250
Kerosene used in Cuba	r=0.86	37yrs	250
Milk consumption	r=0.85	32yrs	250
Popularity of the first name Kyle	r=0.92	38yrs	240
Kerosene used in North Korea	r=0.86	37yrs	240
Cottage cheese consumption	r=0.78	32yrs	238
Customer satisfaction with Frontier Communications	r=0.84	28yrs	236
Customer satisfaction with Verizon	r=0.81	28yrs	232
Popularity of the first name Megan	r=0.92	38yrs	230
Kerosene used in Pakistan	r=0.86	37yrs	230
Divorce rates in the United Kingdom	r=0.79	28yrs	229
Customer satisfaction with Walmart	r=0.75	27yrs	222
Air quality in Rapid City, South Dakota	r=0.67	38yrs	222
Popularity of the first name Aaron	r=0.92	38yrs	220
Kerosene used in Portugal	r=0.85	38yrs	220
Emmy Awards Ceremony viewership	r=0.67	36yrs	218
Popularity of the first name Brett	r=0.92	38yrs	210
Petroluem consumption in Germany	r=0.86	32yrs	206
Popularity of the first name Cynthia	r=0.92	38yrs	200
Gasoline pumped in North Macedonia	r=0.88	30yrs	196
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.9	38yrs	195
Total number of automotive recalls	r=-0.92	38yrs	192
USA Population	r=-0.91	38yrs	190
Academy Awards Ceremony Audience Size	r=0.77	23yrs	190
Number of Lawyers in the United States	r=-0.88	34yrs	190
Number of highschoolers in the US	r=-0.93	33yrs	190
Number of public school students in 11th grade	r=-0.93	33yrs	190
Number of public school students in 10th grade	r=-0.92	33yrs	189
NASA's budget appropriation	r=0.62	38yrs	188
Number of Registered Vehicles in the US	r=-0.94	32yrs	187
US Annual Tax Revenue	r=-0.88	37yrs	186
Patents granted in the US	r=-0.81	36yrs	186
The number of movies Willem Dafoe appeared in	r=-0.79	38yrs	186
The divorce rate in South Dakota	r=0.73	23yrs	185
US household spending on laundry and cleaning supplies	r=0.74	23yrs	185
Budget for largest movie production	r=-0.82	38yrs	184
Patents granted in the US	r=-0.8	36yrs	182
The distance between Neptune and Venus	r=0.68	38yrs	182
Automotive recalls for issues with Exterior Lighting	r=-0.81	38yrs	180
Average milk produced per cow in the US	r=-0.91	38yrs	163
Number of public school students in 12th grade	r=-0.92	33yrs	159
Sherbet consumption	r=0.68	32yrs	152
US kids in public school	r=-0.89	33yrs	146
Ice cream consumption	r=0.67	32yrs	141
MTV VMA Viewer Count	r=0.74	23yrs	135
Number of public school students in 8th grade	r=-0.88	33yrs	135
The distance between Uranus and Saturn	r=-0.82	38yrs	132
Milk-fat consumption	r=-0.87	32yrs	128
Total Sales at Clothing and Accessories Stores	r=-0.88	31yrs	128
Gender pay gap in the U.S.	r=-0.87	32yrs	123
The distance between Neptune and Uranus	r=-0.82	38yrs	122
Brick cheese consumption	r=0.68	27yrs	118
Intel Corporation's annual revenue	r=-0.85	36yrs	117
Number of households headed by single fathers in the United States	r=-0.88	32yrs	112
Annual Revenue of Walt Disney Company	r=-0.86	32yrs	107
American cheese consumption	r=-0.85	32yrs	106
Yogurt consumption	r=-0.85	32yrs	96
Gasoline pumped in North Korea	r=0.85	37yrs	84
Italian-type cheese consumption	r=-0.84	27yrs	80
Gasoline pumped in United Kingdom	r=0.84	38yrs	74
Mozzarella cheese consumption	r=-0.85	27yrs	70
Gasoline pumped in Cuba	r=0.84	37yrs	62
Gasoline pumped in Guinea-Bissau	r=0.84	37yrs	52

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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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