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Data Set/Description Owner Last edited Size Views
New York City Leading Causes of Death (2007-2014)
This data set breaks down the leading causes of death in New York City between 2007-2014. Included is the number of Deaths (Deaths) for each combination of Sex and Race Ethnicity. The Death Rate represents the rate within that Sex/ Race Ethnicity category. Age Adjusted Death Rate adjusts the Death Rate by the ages of those who died.
statcrunch_featuredAug 1, 201896KB5496
Flight Delay Data For July 2014
This data set contains information on the flight delays for each airline at each U.S. airport in July of 2014. The columns include the carrier, airport city/state, airport code, airport name, total number of flights (Flights), the number of delayed flights (Delayed), the number of cancelled flights (Cancelled), the number of diverted flights (Diverted), the number of on-time flights (On-time), and the on-time percentage (On-time Percentage).
statcrunch_featuredJan 2, 201888KB7562
FIFA World Cup Mens Players 2018
This data set records information for all 736 players for the 2018 FIFA World Cup. Included for each player is their national team (Team) along with their club team (Club).
statcrunch_featuredAug 1, 201863KB4881
Super Heroes
This data set originally came from the following website: https://www.kaggle.com/claudiodavi/superhero-set. It contains various physical characteristics for over 700 fictional comic book super heroes.
statcrunch_featuredAug 1, 201847KB8866
California Home Prices, 2009
This dataset is a collection of real estate listings from San Luis Obispo county, California, and some locations around it from 2009. The prices are their list price at the creation of this dataset. For more information about this data, go to the website source listed above.
statcrunch_featuredApr 3, 201746KB10129
Seattle Monthly Rain Gauge Accumulations (2003-2017)
Monthly accumulations for Seattle Pacific University's rain gauges located throughout Seattle city limits. Each column represents the amount of water accumulated (in inches) over the past month at a different rain gauge.
statcrunch_featuredAug 1, 201816KB1271
US Workforce Participation
This data primarily comes from two sources: Federal Reserve Bank of St. Louis and the US Bureau of Labor Statistics .
ColumnDescription
YearThe calendar year for each value
Annual Average Workforce ParticipationDefined by the Bureau of Labor Statistics as "the percentage of the population [16 years and older] that is either employed or unemployed (that is, either working or actively seeking work). Note that 2015's Annual Average is calculated using the first 11 months."
Male Workforce Participation RateAnnual workforce participation rate for males.
Female Workforce Participation RateAnnual workforce participation rate for females.
Male Inactivity Rate Aged 25-54Defined as the proportion of the male population aged 25-54 that is not in the labour force. Common reasons for leaving labour force: college, retirement, stay at home, can't find work and no longer try.
Change in Rate (Male Inactivity Rate Aged 25-54)The change in the inactivity rate calculated as the current year minus the previous year.
Female Inactivity Rate Aged 25-54Defined as the proportion of the female population aged 25-54 that is not in the labour force.
Change in Rate (Female Inactivity Rate Aged 25-54)The change in the inactivity rate calculated as the current year minus the previous year.
Presidential ControlPolitical party of president.
Senate ControlPolitical party of the Senate majority
House ControlPolitical party of the House of Representatives majority.
Legislative Branch (House and Senate)Combined control of Senate and House of Representativs
statcrunch_featuredJun 27, 201710KB3389
2014 MLB Top 100 Batters
This data came from ESPN.com and has the top 100 batters by WAR (wins above replacement). AB: At bats R: Runs H: Hits 2B: Doubles 3B: Triples RBI: Runs batted in SB: Stolen Bases BB: Walks SO: Strikeouts AVG: Batting average OBP: On Base Percentage SLG: Slugging Percentage OPS: OBP + SLG WAR: Wins Above Replacement
statcrunch_featuredApr 3, 20179KB4729
Top 100 Retailers 2015
This dataset comes from the National Retail Federation and tracks the top retail chains in the US for 2015 based on their 2014 sales. The original data can be found at the webpage listed as the source. Note that these retailers include all sorts of avenues including internet sales.
statcrunch_featuredNov 10, 20178KB5296
US Presidential Election History
This dataset tracks the US presidential election results dating back to 1824. Included is the winning candidate, winning party, popular voting totals, margin of victory, and the electoral college totals. Also included is the name and party of the runner-up along with the percentage of all eligible voters that turned out for the election (Voter Turnout Percentage).
statcrunch_featuredFeb 20, 20185KB3235
US States Population Change 2010
This data set comes from the 2010 US Census. The states are ranked by their total population on 2010. Percent change is calculated by taking the change in population (2010-2000) divided by the 2000 population.
This data set was pulled into StatCrunch using StatCrunchThis from http://en.wikipedia.org/wiki/2010_United_States_Census.
statcrunch_featuredJan 2, 20182KB3806
Christmas tree sales: Real vs. Fake 2004-2016
This data set contains the number of real and fake Christmas trees sold in the US between 2004 and 2016.
statcrunch_featuredNov 13, 2018398B4790
All MLB Salaries (1985-2015)
This data has all MLB player salaries between 1985-2015 including the team played for, the city, and a unique ID for each player. Total this includes 25,575 salaries for 4,963 different baseball players.
The player ID is the first 5 letters from the last name, followed by the first two letters from the first name, followed by a number in case of duplicate names. For example, bondsba01 stands for Barry Bonds with "01" because he's the first with the "bondsba" name ID.
statcrunch_featuredJun 27, 20171MB5824
Titanic Survival Data
This has the survival data for the passengers on the Titanic. It also has if they were an adult or child, their gender, and the class they were staying on.
statcrunch_featuredApr 3, 201748KB7013
Roller Coasters Data
This dataset looks at some of the roller coasters across the US and various other countries.
ColumnDescription
NameName of roller coaster
ParkAmusement park for roller coaster
CityCity for amusement park
StateState abbreviation
CountryCountry of the roller coaster. US: United States, MX: Mexico, CR: Costa Rica, GT: Guatemala, CO: Columbia, VE: Venezuela, BR: Brazil, AR: Argentina, CL: Chile, EQ: Ecuador, PE: Peru, F: France, D: Germany
TypeS: Steel, W: Wood
ConstructorType of build for the roller coaster
HeightHeight in meters
SpeedSpeed in kilometers per hour (km/h)
LengthLength in meters
InversionsYes if there are inversions, no if not
DurationDuration of ride in seconds
GForceMax g-force
OpenedYear it opened
RegionGeographic region for the roller coaster
statcrunch_featuredApr 3, 201748KB8618

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