Top variables that correlate with The number of secretaries in Wisconsin

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Data source: Bureau of Larbor Statistics
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The number of secretaries in Wisconsin correlates with...

Variable	Correlation	Years	Sys. Score
How provocative 3Blue1Brown YouTube video titles are	r=0.9	8yrs	270
How trendy 3Blue1Brown YouTube video titles are	r=0.88	8yrs	267
Torii Hunter's Hit Count	r=0.88	6yrs	256
xkcd comics published about cryptography	r=0.77	13yrs	150
Biomass power generated in Malaysia	r=0.77	12yrs	145
The number of movies Florence Pugh appeared in	r=0.75	8yrs	144
Bachelor's degrees awarded in Liberal arts	r=0.76	10yrs	143
Total number of batters faced by Joe Nathan	r=0.81	7yrs	142
The number of movies Gregory Peck appeared in	r=0.69	13yrs	140
Hydopower energy generated in Ghana	r=0.73	12yrs	139
Nuclear power generation in Switzerland	r=0.73	12yrs	139
Gasoline Prices in the US	r=0.69	13yrs	136
How fun 3Blue1Brown YouTube video titles are	r=0.71	8yrs	136
Patents granted to Hyundai	r=0.75	8yrs	136
Australia's Per Capita GDP	r=0.7	13yrs	134
Bachelor's degrees awarded in gender studies	r=0.7	10yrs	134
The number of movies Helena Bonham Carter appeared in	r=0.65	13yrs	134
Number of times 20 was a winning Mega Millions number	r=0.67	13yrs	132
Master's degrees awarded in Library science	r=0.69	10yrs	132
US household spending on transportation	r=0.69	13yrs	132
xkcd comics published about philosophy	r=0.65	13yrs	132
Score differential in Anglo-Welsh Cup final	r=0.69	9yrs	128
Public school high school enrollments in the United States	r=0.63	13yrs	124
Annual US household spending on gasoline	r=0.63	13yrs	124
xkcd comics published about math	r=0.59	13yrs	124
GDP per capita in Canada	r=0.62	13yrs	122
Popularity of the first name Elissa	r=0.63	13yrs	122
Popularity of the first name Freddie	r=0.63	13yrs	122
Air pollution in Beaver Dam, Wisconsin	r=0.6	13yrs	122
Google searches for 'how to trap a spider'	r=0.6	13yrs	120
Ecopetrol's stock price (EC)	r=0.61	13yrs	120
Popularity of the first name Sarai	r=0.61	13yrs	119
xkcd comics published about the internet	r=0.56	13yrs	119
Google searches for 'how to treat a snake bite'	r=0.58	13yrs	118
The average age of batters for the Milwaukee Brewers	r=0.6	13yrs	118
US household spending on medical services	r=0.59	13yrs	118
Portion of all US dairy skim-solids allocated to the production of butter	r=0.6	12yrs	115
Total private high school enrollment in the United States	r=0.57	13yrs	114
Automotive recalls for issues with the Wheels	r=0.56	13yrs	113
Brick cheese consumption	r=0.56	12yrs	110
Gasoline pumped in Iraq	r=0.75	12yrs	109
Popularity of the 'gangnam style' meme	r=0.54	11yrs	106
Popularity of the 'overly attached girlfriend' meme	r=0.53	13yrs	106
Rain in Toronto	r=0.58	11yrs	106
The number of movies Karen Gillan appeared in	r=0.64	13yrs	102
Nuclear power generation in Czechia	r=0.72	12yrs	98
Master's degrees awarded in Social sciences and history	r=0.66	10yrs	98
Final match set count at Chennai Open	r=0.64	13yrs	95
How clickbait-y minutephysics YouTube video titles are	r=0.6	12yrs	94
Popularity of the first name Cruz	r=0.61	13yrs	89
Hydopower energy generated in Thailand	r=0.71	12yrs	86
Master's degrees awarded in Education	r=0.64	10yrs	85
The number of movies Uma Thurman appeared in	r=0.59	13yrs	85
Popularity of the first name Kiara	r=0.6	13yrs	78
The average number of likes on 3Blue1Brown YouTube videos	r=0.65	8yrs	78
Number of sets played in final of World Open Squash Men's championship	r=0.57	13yrs	76
Hydopower energy generated in Eswatini	r=0.7	12yrs	74
Associates degrees awarded in Transportation	r=0.63	11yrs	73
Average length of SciShow Space YouTube videos	r=0.63	9yrs	66
Jet fuel used in Russia	r=0.72	12yrs	64
Maria Sharapova's WTA Title Count	r=0.66	8yrs	63
Popularity of the first name Damian	r=0.57	13yrs	63
Associates degrees awarded in Fire control and safety	r=0.62	11yrs	62
The number of movies Philip Seymour Hoffman appeared in	r=0.61	7yrs	62
How 'hip and with it' Technology Connections YouTube video titles are	r=0.64	8yrs	56
Popularity of the first name Nayeli	r=0.57	13yrs	53
Jet fuel used in Azerbaijan	r=0.69	12yrs	50
The number of movies Jude Law appeared in	r=0.55	13yrs	49
Total views on Technology Connections YouTube videos	r=0.64	8yrs	46
Popularity of the first name Ervin	r=0.57	13yrs	43
Bachelor's degrees awarded in Social sciences and history	r=0.62	10yrs	42
Kerosene used in Iraq	r=0.69	12yrs	40
The number of movies Chris Pratt appeared in	r=0.53	13yrs	36
Total length of Technology Connections YouTube videos	r=0.64	8yrs	36
Popularity of the first name Trayvon	r=0.57	13yrs	33
Master's degrees awarded in Transportation	r=0.6	10yrs	29
Electricity generation in Czechia	r=0.66	12yrs	28
The number of movies Eva Mendes appeared in	r=0.57	6yrs	25
Average views of Technology Connections YouTube videos	r=0.63	8yrs	24
Popularity of the first name Romeo	r=0.57	13yrs	23
Bachelor's degrees awarded in Philosophy	r=0.58	10yrs	16
Jet fuel used in Burkina Faso	r=0.66	12yrs	16
Average views of LockPickingLawyer YouTube videos	r=0.62	8yrs	13
Popularity of the first name Hanna	r=0.56	13yrs	12
Jet fuel used in Albania	r=0.64	12yrs	2
How good PBS Space Time YouTube video titles are	r=0.61	8yrs	2
Petroluem consumption in Solomon Islands	r=0.63	12yrs	-9
How good Computerphile YouTube video titles are	r=0.59	10yrs	-10
Liquefied petroleum gas used in Thailand	r=0.63	12yrs	-19
How trendy Matt Parker's YouTube video titles are	r=0.57	12yrs	-21
Jet fuel used in Timor-Leste	r=0.63	12yrs	-29
Average length of PBS Space Time YouTube videos	r=0.59	8yrs	-32
Liquefied petroleum gas used in Burundi	r=0.61	12yrs	-42
How geeky PBS Space Time YouTube video titles are	r=0.59	8yrs	-42
Total likes of Technology Connections YouTube videos	r=0.59	8yrs	-52
Fossil fuel use in North Macedonia	r=0.58	12yrs	-54
Total comments on Technology Connections YouTube videos	r=0.59	8yrs	-62
Kerosene used in Djibouti	r=0.59	12yrs	-65
How 'hip and with it' 3Blue1Brown YouTube video titles are	r=0.59	8yrs	-72
Kerosene used in Rwanda	r=0.59	12yrs	-75
How 'hip and with it' Matt Parker's YouTube video titles are	r=0.54	12yrs	-85

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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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