Top variables that correlate with The wind speed in Milwaukee

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Data source: NOAA National Climate Data Center
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The wind speed in Milwaukee correlates with...

Variable	Correlation	Years	Has img?
The distance between Neptune and Venus	r=0.7	40yrs	No

The wind speed in Milwaukee also correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Virginia	r=0.91	39yrs	390
Popularity of the first name Perry	r=0.91	39yrs	390
Popularity of the first name Beverly	r=0.91	39yrs	390
Kerosene used in Egypt	r=0.91	38yrs	389
Kerosene used in Pakistan	r=0.9	38yrs	358
Popularity of the first name Stephanie	r=0.9	39yrs	358
Gasoline pumped in France	r=0.89	39yrs	357
Total annual sales of Ford Motors in the United States	r=0.85	23yrs	334
Kerosene used in Argentina	r=0.88	38yrs	324
Popularity of the first name Monique	r=0.9	39yrs	318
Kerosene used in Thailand	r=0.88	38yrs	314
Popularity of the first name Lawrence	r=0.9	39yrs	308
How provocative OverSimplified YouTube video titles are	r=0.93	7yrs	304
Fossil fuel use in Sierra Leone	r=0.85	38yrs	303
Popularity of the first name Jaclyn	r=0.9	39yrs	298
Gasoline pumped in Cuba	r=0.87	38yrs	293
Popularity of the first name Kellie	r=0.9	39yrs	288
Kerosene used in Cuba	r=0.87	38yrs	283
Popularity of the first name Stuart	r=0.9	39yrs	278
Kerosene used in Venezuela	r=0.87	37yrs	272
Popularity of the first name Ashlie	r=0.9	38yrs	268
Popularity of the first name Kristyn	r=0.9	39yrs	258
Petroluem consumption in Uzbekistan	r=0.87	30yrs	255
Arson in United States	r=0.83	38yrs	251
Motor vehicle thefts	r=0.83	38yrs	251
Remaining Forest Cover in the Brazilian Amazon	r=0.84	36yrs	249
Popularity of the first name Pauline	r=0.9	39yrs	248
Violent crime rates	r=0.81	38yrs	248
Viewership count for Days of Our Lives	r=0.82	38yrs	246
Frozen yogurt consumption	r=0.84	32yrs	246
The distance between Neptune and Mercury	r=0.82	40yrs	246
The distance between Neptune and the Sun	r=0.81	40yrs	244
The distance between Neptune and Earth	r=0.81	40yrs	244
Cottage cheese consumption	r=0.81	32yrs	242
NASA's budget as a percentage of the total US Federal Budget	r=0.77	40yrs	242
Popularity of the first name Marla	r=0.9	39yrs	238
Processed cheese consumption	r=0.79	27yrs	234
Divorce rates in the United Kingdom	r=0.81	29yrs	233
Popularity of the first name Jessica	r=0.89	39yrs	227
Air pollution in Manitowoc, Wisconsin	r=0.69	38yrs	226
Popularity of the first name James	r=0.89	39yrs	217
Robberies in the US	r=0.8	38yrs	216
The distance between Neptune and the moon	r=0.81	40yrs	214
Popularity of the first name Thomas	r=0.89	39yrs	207
Burglary rates in the US	r=0.78	38yrs	204
Evaporated and condensed milk consumption	r=0.74	32yrs	202
Popularity of the first name Eric	r=0.89	39yrs	197
Carjackings in the US	r=0.74	27yrs	196
Average number of milk cows in the United States	r=0.72	39yrs	191
Arson in Wisconsin	r=0.75	38yrs	189
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.82	39yrs	188
US household spending on vehicle purchaes	r=0.76	23yrs	188
Popularity of the first name Amber	r=0.89	39yrs	187
Air quality in Madison, Wisconsin	r=0.62	40yrs	187
US kids in public school	r=-0.89	33yrs	186
Public school high school enrollments in the United States	r=-0.87	37yrs	185
US household spending on new cars	r=0.74	23yrs	185
Number of Lawyers in the United States	r=-0.81	34yrs	184
Number of Las Vegas Hotel Room Check-Ins	r=-0.89	30yrs	183
Number of highschoolers in the US	r=-0.86	33yrs	183
Number of public school students in 10th grade	r=-0.86	33yrs	183
Highest Nielsen rating for a TV show each year	r=0.63	37yrs	182
USA Population	r=-0.81	39yrs	181
Number of Miss World delegates	r=-0.81	37yrs	179
Annual count of part-time employees in the United States	r=-0.85	33yrs	179
Milk consumption	r=0.71	32yrs	178
Budget for largest movie production	r=-0.75	39yrs	178
New York Times Fiction Best Sellers	r=-0.82	31yrs	178
Popularity of the first name Steven	r=0.89	39yrs	177
Burglaries in Wisconsin	r=0.73	38yrs	176
Total Points scored by the New England Patriots in the NFL season	r=-0.76	39yrs	176
Patents granted in the US	r=-0.71	37yrs	176
Popularity of the first name Danielle	r=0.89	39yrs	167
Motor vehicle thefts in Wisconsin	r=0.7	38yrs	162
Number of public school students in 11th grade	r=-0.85	33yrs	152
Petroluem consumption in North Korea	r=0.85	38yrs	145
The distance between Uranus and Saturn	r=-0.89	40yrs	142
Number of public school students in 8th grade	r=-0.82	33yrs	139
Kerosene used in Australia	r=0.84	39yrs	134
The distance between Uranus and Mercury	r=-0.86	40yrs	128
Number of public school students in 4th grade	r=-0.81	33yrs	128
US Annual Tax Revenue	r=-0.78	38yrs	127
Consumption of dry whole milk products	r=0.64	32yrs	126
Kerosene used in North Korea	r=0.84	38yrs	124
Number of households headed by single fathers in the United States	r=-0.81	32yrs	121
Number of public school students in 5th grade	r=-0.81	33yrs	118
The distance between Uranus and Earth	r=-0.83	40yrs	116
Average milk produced per cow in the US	r=-0.82	39yrs	115
Kerosene used in Uruguay	r=0.84	38yrs	114
Number of public school students in 12th grade	r=-0.81	33yrs	108
The distance between Uranus and the moon	r=-0.83	40yrs	106
Gasoline pumped in Belgium	r=0.83	39yrs	103
Yogurt consumption	r=-0.82	32yrs	102
Number of public school students in 7th grade	r=-0.8	33yrs	97
The distance between Uranus and the Sun	r=-0.81	40yrs	94
Petroluem consumption in Romania	r=0.83	38yrs	92
Jet fuel used in Afghanistan	r=0.82	38yrs	80
Gasoline pumped in Austria	r=0.81	39yrs	70
Kerosene used in Peru	r=0.82	38yrs	60
Kerosene used in Portugal	r=0.81	39yrs	50

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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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