Top variables that correlate with Robberies in Texas

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Data source: FBI Criminal Justice Information Services
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Robberies in Texas correlates with...

Variable	Correlation	Years	Has img?
Popularity of the first name Martin	r=0.96	38yrs	No
Popularity of the first name Blanca	r=0.96	38yrs	Yes!
Popularity of the first name Jamal	r=0.95	38yrs	No
Milk consumption	r=0.87	32yrs	No
Disney movies released	r=0.86	23yrs	No
Google searches for 'Nintendo'	r=0.85	15yrs	No
Canned whole evaporated and condensed milk consumption	r=0.72	32yrs	No

Robberies in Texas also correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Cody	r=0.96	38yrs	426
US milk fat used to produce fluid beverage milk	r=0.97	22yrs	414
NASA's budget as a percentage of the total US Federal Budget	r=0.93	38yrs	400
Popularity of the first name Arnold	r=0.96	38yrs	396
Remaining Forest Cover in the Brazilian Amazon	r=0.91	36yrs	394
Cottage cheese consumption	r=0.91	32yrs	392
Frozen yogurt consumption	r=0.91	32yrs	392
Gasoline pumped in Austria	r=0.93	38yrs	392
Popularity of the first name Anjelica	r=0.96	38yrs	386
Petroluem consumption in Uzbekistan	r=0.94	30yrs	386
Physical album shipment volume in the United States	r=0.93	24yrs	380
US household spending on floor coverings	r=0.93	23yrs	378
Total likes of Matt Parker's YouTube videos	r=0.95	12yrs	376
AIG's stock price (AIG)	r=0.91	21yrs	374
Total length of Matt Parker's YouTube videos	r=0.93	12yrs	374
Google searches for 'learn spanish'	r=0.9	19yrs	372
Liquefied petroleum gas used in Greenland	r=0.9	22yrs	372
Popularity of the first name Demetrius	r=0.95	38yrs	365
Popularity of the first name Margarita	r=0.95	38yrs	355
The distance between Neptune and the Sun	r=0.86	38yrs	354
The distance between Neptune and Earth	r=0.86	38yrs	354
The distance between Neptune and the moon	r=0.86	38yrs	354
GMO use in cotton	r=0.89	23yrs	346
Popularity of the first name Maira	r=0.95	38yrs	345
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.91	22yrs	342
Geothermal power generated in Austria	r=0.91	17yrs	341
U.S. intercountry adoptions	r=0.87	23yrs	340
Citigroup's stock price (C)	r=0.89	21yrs	340
Lloyds Banking Group's stock price (LYG)	r=0.89	21yrs	340
Global Per Capita Rice Consumption	r=0.88	20yrs	338
Google searches for 'black holes'	r=0.88	19yrs	338
Annual US household spending on floor coverings	r=0.86	23yrs	338
US household spending on books	r=0.86	23yrs	338
Gasoline pumped in France	r=0.9	38yrs	318
Median Weekly Earnings of Self-Employed Workers in the UK	r=0.91	11yrs	310
Gasoline pumped in United Kingdom	r=0.89	38yrs	306
Popularity of the first name Ashleigh	r=0.95	38yrs	305
Popularity of the first name Carissa	r=0.95	38yrs	295
Fossil fuel use in Sierra Leone	r=0.87	37yrs	295
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.88	22yrs	287
Total comments on Matt Parker's YouTube videos	r=0.88	12yrs	286
Popularity of the first name Corina	r=0.95	38yrs	285
Gasoline pumped in Belgium	r=0.86	38yrs	282
US average milk-fat content of frozen dairy products	r=0.88	22yrs	277
Popularity of the first name Cassandra	r=0.94	38yrs	274
Kerosene used in Thailand	r=0.87	37yrs	272
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.87	22yrs	266
Popularity of the first name Erika	r=0.94	38yrs	264
Kerosene used in Egypt	r=0.86	37yrs	260
US average dairy skim-solid content of cheese (other than cottage cheese)	r=0.87	22yrs	256
Popularity of the first name Jonathon	r=0.94	38yrs	254
Average number of comments on Matt Parker's YouTube videos	r=0.86	12yrs	253
Gasoline pumped in Germany	r=0.89	32yrs	250
NASA's budget appropriation	r=0.82	38yrs	248
Popularity of the first name Kasey	r=0.94	38yrs	244
Total views on Matt Parker's YouTube videos	r=0.86	12yrs	243
Viewership count for Days of Our Lives	r=0.79	37yrs	241
Kerosene used in Argentina	r=0.85	37yrs	239
Popularity of the first name Ellen	r=0.94	38yrs	234
Customer satisfaction with Verizon	r=0.82	28yrs	234
US birth rates of triplets or more	r=0.82	20yrs	232
Divorce rates in the United Kingdom	r=0.81	28yrs	232
US household spending on beef	r=0.85	23yrs	232
Customer satisfaction with Walmart	r=0.8	27yrs	230
Gasoline pumped in Latvia	r=0.89	31yrs	229
China's Rare Earth Element Export Volume	r=0.9	11yrs	229
Annual US household spending on books	r=0.82	23yrs	227
US Hospital Occupancy Rate	r=0.85	18yrs	226
US household spending on processed fruits	r=0.81	23yrs	226
Popularity of the first name Johnathon	r=0.94	38yrs	224
US household spending on prescription drugs	r=0.8	23yrs	224
US household spending on clothing	r=0.79	23yrs	222
Customer satisfaction with Frontier Communications	r=0.73	28yrs	220
UK Public Library Count	r=0.86	12yrs	219
Petroluem consumption in Ukraine	r=0.89	30yrs	218
The distance between Neptune and Mercury	r=0.84	38yrs	216
Popularity of the first name Breanne	r=0.94	38yrs	214
Jet fuel used in Ukraine	r=0.89	30yrs	208
Popularity of the first name Beatriz	r=0.94	38yrs	204
Google searches for 'report UFO sighting'	r=0.8	19yrs	198
Google searches for 'snoop dog'	r=0.82	19yrs	164
Processed cheese consumption	r=0.83	27yrs	150
Evaporated and condensed milk consumption	r=0.79	32yrs	139
Number of Lawyers in the United States	r=-0.94	34yrs	136
Ice cream consumption	r=0.74	32yrs	122
Sherbet consumption	r=0.74	32yrs	112
US milk fat used to produce cottage cheese	r=0.85	22yrs	100
Petroluem consumption in North Korea	r=0.85	37yrs	94
Kerosene used in Cuba	r=0.83	37yrs	81
US average milk-fat content of cottage cheese	r=0.83	22yrs	74
Kerosene used in Macau	r=0.83	37yrs	71
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.82	22yrs	63
Kerosene used in North Korea	r=0.83	37yrs	61
Kerosene used in Pakistan	r=0.83	37yrs	51

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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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