Top variables that correlate with The wind speed in Washington, D.C.

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Data source: NOAA National Climate Data Center
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The wind speed in Washington, D.C. correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Ashli	r=0.9	38yrs	388
Popularity of the first name Kala	r=0.9	38yrs	388
Popularity of the first name Brittney	r=0.9	38yrs	358
Remaining Forest Cover in the Brazilian Amazon	r=0.86	35yrs	356
Kerosene used in Nicaragua	r=0.87	37yrs	352
Nuclear power generation in Iran	r=0.91	11yrs	335
Popularity of the first name Courtney	r=0.89	38yrs	326
Popularity of the first name Corey	r=0.89	38yrs	316
Popularity of the first name Justine	r=0.89	38yrs	306
Popularity of the first name Shaina	r=0.89	38yrs	296
Popularity of the first name Jerrica	r=0.9	37yrs	286
Popularity of the first name Krysten	r=0.89	38yrs	276
Total comments on Casually Explained YouTube videos	r=0.89	8yrs	268
Popularity of the first name Jerica	r=0.89	38yrs	266
Popularity of the first name Spenser	r=0.89	37yrs	255
Motor vehicle thefts	r=0.84	37yrs	252
Violent crime rates	r=0.83	37yrs	250
Arson in United States	r=0.82	37yrs	248
Gasoline pumped in Belgium	r=0.85	38yrs	245
Popularity of the first name Brittany	r=0.88	38yrs	244
NASA's budget as a percentage of the total US Federal Budget	r=0.78	39yrs	243
Frozen yogurt consumption	r=0.82	31yrs	242
Viewership count for Days of Our Lives	r=0.78	37yrs	240
Carjackings in the US	r=0.82	26yrs	238
The distance between Neptune and the Sun	r=0.77	39yrs	237
The distance between Neptune and Earth	r=0.77	39yrs	237
The distance between Neptune and the moon	r=0.77	39yrs	237
Consumption of dry whole milk products	r=0.78	31yrs	236
Popularity of the first name Chantel	r=0.88	38yrs	234
Milk consumption	r=0.71	31yrs	228
Customer satisfaction with Verizon	r=0.79	27yrs	228
Popularity of the first name Shantel	r=0.88	38yrs	224
Customer satisfaction with Walmart	r=0.77	26yrs	224
Robberies in the US	r=0.8	37yrs	216
Popularity of the first name Kory	r=0.88	38yrs	214
Gasoline pumped in France	r=0.83	38yrs	212
Popularity of the first name Kristyn	r=0.88	38yrs	204
Burglary rates in the US	r=0.78	37yrs	202
Kerosene used in Pakistan	r=0.84	37yrs	202
The distance between Neptune and Mercury	r=0.73	39yrs	201
Cottage cheese consumption	r=0.72	31yrs	198
Popularity of the first name Caitlin	r=0.87	38yrs	193
Kerosene used in Argentina	r=0.83	37yrs	191
Customer satisfaction with Frontier Communications	r=0.74	27yrs	190
Divorce rates in the United Kingdom	r=0.71	28yrs	187
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.8	38yrs	185
Number of Lawyers in the United States	r=-0.82	33yrs	184
Popularity of the first name Cory	r=0.87	38yrs	183
Public school high school enrollments in the United States	r=-0.85	36yrs	182
Kerosene used in Egypt	r=0.83	37yrs	181
Number of highschoolers in the US	r=-0.85	32yrs	181
Number of public school students in 11th grade	r=-0.85	32yrs	181
US kids in public school	r=-0.84	32yrs	180
USA Population	r=-0.77	38yrs	176
Gasoline Prices in the US	r=-0.79	32yrs	175
Number of households headed by single fathers in the United States	r=-0.81	31yrs	174
Number of Registered Vehicles in the US	r=-0.82	31yrs	174
Total number of automotive recalls	r=-0.73	38yrs	174
The average number of likes on CGP Grey YouTube videos	r=0.83	13yrs	174
Popularity of the first name Stefan	r=0.87	38yrs	173
Budget for largest movie production	r=-0.7	38yrs	172
Number of Miss World delegates	r=-0.75	36yrs	172
New York Times Fiction Best Sellers	r=-0.77	30yrs	172
Number of Las Vegas Hotel Room Check-Ins	r=-0.79	29yrs	172
Kerosene used in Uruguay	r=0.82	37yrs	170
Patents granted in the US	r=-0.66	36yrs	170
Popularity of the first name Stephan	r=0.87	38yrs	163
Kerosene used in Zambia	r=0.82	37yrs	160
Processed cheese consumption	r=0.7	26yrs	150
Number of public school students in 12th grade	r=-0.84	32yrs	150
Gasoline pumped in Cuba	r=0.81	37yrs	148
The distance between Uranus and Saturn	r=-0.82	39yrs	144
Number of public school students in 10th grade	r=-0.83	32yrs	139
Kerosene used in Cuba	r=0.81	37yrs	138
Yogurt consumption	r=-0.82	31yrs	132
The distance between Neptune and Venus	r=0.59	39yrs	130
Kerosene used in Thailand	r=0.81	37yrs	128
Number of public school students in 8th grade	r=-0.8	32yrs	126
Annual count of part-time employees in the United States	r=-0.78	32yrs	121
Average milk produced per cow in the US	r=-0.75	38yrs	117
Kerosene used in North Korea	r=0.8	37yrs	116
Intel Corporation's annual revenue	r=-0.74	35yrs	115
The distance between Uranus and Mercury	r=-0.73	39yrs	114
Number of public school students in 7th grade	r=-0.76	32yrs	112
US Annual Tax Revenue	r=-0.71	37yrs	109
Gasoline pumped in Germany	r=0.83	31yrs	105
Total Sales at Clothing and Accessories Stores	r=-0.74	30yrs	103
Number of public school students in 9th grade	r=-0.75	32yrs	101
The distance between Uranus and Earth	r=-0.67	39yrs	98
Petroluem consumption in Nauru	r=0.79	37yrs	95
Number of public school students in 6th grade	r=-0.74	32yrs	90
The distance between Uranus and the moon	r=-0.67	39yrs	88
Petroluem consumption in North Korea	r=0.78	37yrs	84
Number of public school students in 3rd grade	r=-0.73	32yrs	79
The distance between Neptune and Uranus	r=-0.66	39yrs	78
Petroluem consumption in Uzbekistan	r=0.84	29yrs	74
Number of public school students in 4th grade	r=-0.72	32yrs	68
Gasoline pumped in Austria	r=0.77	38yrs	63
Number of public school students in 5th grade	r=-0.72	32yrs	58
Kerosene used in Norway	r=0.77	38yrs	53
Gasoline pumped in Guinea-Bissau	r=0.77	37yrs	42

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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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