Top variables that correlate with Air pollution in Cleveland

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Data source: Environmental Protection Agency
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Air pollution in Cleveland correlates with...

Variable	Correlation	Years	Has img?
Kerosene used in Peru	r=0.77	42yrs	Yes!
Viewership count for Days of Our Lives	r=0.71	42yrs	Yes!
NASA's budget as a percentage of the total US Federal Budget	r=0.69	44yrs	Yes!

Air pollution in Cleveland also correlates with...

Variable	Correlation	Years	Sys. Score
Google searches for 'Titanic'	r=0.91	16yrs	370
Master's degrees awarded in Education	r=0.87	10yrs	260
Remaining Forest Cover in the Brazilian Amazon	r=0.74	36yrs	234
Kerosene used in Syria	r=0.75	42yrs	234
Motor vehicle thefts	r=0.7	38yrs	232
Motor vehicle thefts in Ohio	r=0.7	38yrs	232
Hydopower energy generated in Denmark	r=0.72	42yrs	232
Arson in United States	r=0.69	38yrs	230
Ice cream consumption	r=0.77	32yrs	216
Popularity of the first name Johnna	r=0.76	43yrs	216
Popularity of the first name Justen	r=0.75	43yrs	215
Popularity of the first name Justin	r=0.74	43yrs	214
Milk consumption	r=0.72	32yrs	210
The distance between Neptune and the Sun	r=0.69	44yrs	210
The distance between Neptune and Earth	r=0.69	44yrs	210
The distance between Neptune and the moon	r=0.69	44yrs	210
The number of movies Gregory Peck appeared in	r=0.63	43yrs	206
The divorce rate in Ohio	r=0.73	23yrs	205
Customer satisfaction with Frontier Communications	r=0.67	28yrs	201
Kerosene used in Macau	r=0.73	42yrs	201
Arson in Ohio	r=0.66	38yrs	196
Total number of automotive recalls	r=-0.71	43yrs	196
Average milk produced per cow in the US	r=-0.68	43yrs	195
Automotive recalls issued by BMW of North America	r=-0.62	43yrs	190
Gasoline pumped in France	r=0.72	43yrs	190
Carjackings in the US	r=0.69	27yrs	189
Physical album shipment volume in the United States	r=0.75	24yrs	188
Automotive recalls for issues with the Electrical System	r=-0.64	43yrs	188
Customer satisfaction with Apple	r=-0.77	28yrs	188
Arson in Ohio	r=0.66	38yrs	186
Automotive recalls for issues with the Power Train	r=-0.62	43yrs	186
Popularity of the first name Jacqueline	r=0.74	43yrs	184
The marriage rate in Ohio	r=0.72	23yrs	182
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.7	43yrs	180
Customer satisfaction with Kohl's	r=0.72	19yrs	180
Gasoline pumped in Germany	r=0.79	32yrs	180
Customer satisfaction with Walmart	r=0.65	27yrs	177
Burglary rates in the US	r=0.66	38yrs	176
The distance between Neptune and Mercury	r=0.66	44yrs	176
Patents granted in the US	r=-0.67	41yrs	176
Popularity of the first name Cathryn	r=0.74	43yrs	174
USA Population	r=-0.7	43yrs	174
Number of Lawyers in the United States	r=-0.72	34yrs	174
Budget for largest movie production	r=-0.65	43yrs	172
Total number of live births in Australia	r=-0.68	43yrs	172
Patents granted in the US	r=-0.66	41yrs	172
US Annual Tax Revenue	r=-0.68	42yrs	171
Annual Revenue of Walt Disney Company	r=-0.74	32yrs	170
Total Sales at Clothing and Accessories Stores	r=-0.74	31yrs	169
Gasoline pumped in Austria	r=0.7	43yrs	168
UEFA European Cup and Champions League Top Scorer's Goal Count	r=-0.63	43yrs	167
US household spending on prescription drugs	r=0.75	23yrs	166
US household spending on books	r=0.73	23yrs	164
Popularity of the first name Jared	r=0.73	43yrs	162
Total likes of SciShow Space YouTube videos	r=-0.94	10yrs	161
Average length of Technology Connections YouTube videos	r=0.73	9yrs	160
Gasoline pumped in Slovenia	r=0.78	31yrs	158
Career regular season goals scored by Sidney Crosby	r=0.71	21yrs	158
Violent crime rates	r=0.65	38yrs	154
Popularity of the first name Bethany	r=0.73	43yrs	152
Petroluem consumption in Germany	r=0.77	32yrs	147
Popularity of the first name Desiree	r=0.73	43yrs	142
Cottage cheese consumption	r=0.65	32yrs	138
Gasoline pumped in Norway	r=0.69	43yrs	136
Popularity of the first name Lynsey	r=0.73	42yrs	131
Sherbet consumption	r=0.65	32yrs	128
Gasoline pumped in United Kingdom	r=0.69	43yrs	126
The distance between Neptune and Venus	r=0.6	44yrs	126
Robberies in the US	r=0.64	38yrs	122
Popularity of the first name Joseph	r=0.72	43yrs	120
Intel Corporation's annual revenue	r=-0.71	36yrs	118
Frozen yogurt consumption	r=0.64	32yrs	116
Kerosene used in Egypt	r=0.69	42yrs	115
Inflation in the US	r=-0.75	31yrs	112
Popularity of the first name Sarah	r=0.72	43yrs	110
Gender pay gap in the U.S.	r=-0.71	32yrs	107
Jet fuel used in Sierra Leone	r=0.69	42yrs	105
Number of households headed by single fathers in the United States	r=-0.72	32yrs	101
Popularity of the first name Jonathan	r=0.72	43yrs	100
Gasoline Prices in the US	r=-0.69	33yrs	96
Fossil fuel use in Slovakia	r=0.75	29yrs	94
Popularity of the first name Rachel	r=0.72	43yrs	90
Number of Registered Vehicles in the US	r=-0.72	32yrs	90
Kerosene used in Japan	r=0.66	43yrs	82
Popularity of the first name Lauren	r=0.72	43yrs	80
Kerosene used in Thailand	r=0.67	42yrs	72
Popularity of the first name Katherine	r=0.72	43yrs	70
Burglaries in Ohio	r=0.55	38yrs	69
Kerosene used globally	r=0.66	42yrs	60
Popularity of the first name Catherine	r=0.72	43yrs	60
Robberies in Ohio	r=0.55	38yrs	59
Gasoline pumped in Belgium	r=0.65	43yrs	50
Popularity of the first name Mathew	r=0.72	43yrs	50
Kerosene used in Brazil	r=0.66	42yrs	40
Popularity of the first name Priscilla	r=0.72	43yrs	40
Petroluem consumption in Italy	r=0.65	43yrs	30
Popularity of the first name Jacquelyn	r=0.72	43yrs	30
Popularity of the first name Chasity	r=0.72	43yrs	20

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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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