| Data Set/Description |
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J Pribe auto-mpg.xlsx
The data set covers 12 years of vehicles and contains 398 individual entries. The data describes popular consumer vehicle’s miles per gallon (MPG), the number of engine cylinders, total engine size (displacement), engine horsepower, the vehicle weight, a measure of acceleration (0-60 MPH time), the model year of the vehicle (1970-1982), a coded identifier for the place of origin, and the make and model of the vehicle. MPG, number of cylinders, engine size, horsepower, weight, acceleration time, and model year are all numerical values. The vehicle origin, full name, make, and model are categorical.
This data was chosen to meet the assignment requirements, and because cars are cool.
*Origin data code: 1=USA, 2=Europe, 3=Japan. The "car name" variable was broken into additional make and model variables to ease analysis, a change from the original data set.
| jpribe | Feb 16, 2019 | 32KB | 114 |
Thanksgiving 2015 Poll Data
This data was collected using a SurveyMonkey poll conducted on November 17th, 2015. Originally there were 1,058 respondents. The following where the original questions summarized in this data set:
Do you celebrate Thanksgiving?
What is typically the main dish at your Thanksgiving dinner?
How is the main dish typically cooked?
What kind of stuffing/dressing do you typically have?
What type of cranberry sauce do you typically have?
Do you typically have gravy?
Which of these side dishes are typically served at your Thanksgiving dinner? Please select all that apply.
Corn
Green beans/green bean casserole
Mashed potatoes
Rolls/biscuits
Yams/sweet potato casserole
Which type of pie is typically served at your Thanksgiving dinner? Please select all that apply.
Apple
Pecan
Pumpkin
Which of these desserts do you typically have at Thanksgiving dinner? Please select all that apply.
Do you typically pray before or after the Thanksgiving meal?
How far will you travel for Thanksgiving?
Will you watch any of the following programs on Thanksgiving?
Macy's Parade
What's the age cutoff at your "kids' table" at Thanksgiving?
Have you ever tried to meet up with hometown friends on Thanksgiving night?
Have you ever attended a "Friendsgiving?"
Will you shop any Black Friday sales on Thanksgiving Day?
Do you work in retail?
Will you employer make you work on Black Friday?
How would you describe where you live?
Age
What is your gender?
How much total combined money did all members of your HOUSEHOLD earn last year?
What US Region do you live in?
| statcrunch_featured | Nov 14, 2018 | 204KB | 2141 |
Split of Hand_washing ANOVA.txt
Bacteria counts on hands after using the labeled hand-cleansing method. Assume a randomized experiment. | kfoong321 | Feb 7, 2019 | 267B | 73 |
FIFA World Cup Match Results (1930-2014)
This data set records all World Cup Men's soccer matches played between 1930 and 2014. Included is the date of the match, the location, the World Cup Stage (Stage), both teams, the halftime score, the final score, and the attendance for the game. | statcrunch_featured | Aug 1, 2018 | 102KB | 1548 |
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_featured | Aug 1, 2018 | 96KB | 3149 |
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_featured | Aug 1, 2018 | 63KB | 2703 |
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_featured | Aug 1, 2018 | 47KB | 5111 |
Criminal Recidivism in Iowa: 2010-2014
Recidivism is defined as the "tendency of a convicted criminal to reoffend". This dataset tracks former criminals from Iowa over a 3 year period after their release from prison to see whether or not they were convicted of a new crime during that time. The recidivism reporting year is the fiscal year (year ending June 30) marking the end of the three year tracking period. Included are the following variables: Fiscal Year Released (the year the individual was released from Prison), the Race, Ethnicity, Sex, and Age of individual when released. Also included are details about the original crime committed along with whether that individual committed a new crime (Recidivism - Return to Prison) within the 3 year window. | statcrunch_featured | Mar 21, 2018 | 3MB | 3001 |
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_featured | Jan 2, 2018 | 88KB | 5529 |
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_featured | Apr 3, 2017 | 9KB | 3108 |
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_featured | Feb 20, 2018 | 5KB | 2471 |
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_featured | Aug 1, 2018 | 16KB | 731 |
Roller Coasters Data
This dataset looks at some of the roller coasters across the US and various other countries.
| Column | Description | | Name | Name of roller coaster | | Park | Amusement park for roller coaster | | City | City for amusement park | | State | State abbreviation | | Country | Country 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 | | Type | S: Steel, W: Wood | | Constructor | Type of build for the roller coaster | | Height | Height in meters | | Speed | Speed in kilometers per hour (km/h) | | Length | Length in meters | | Inversions | Yes if there are inversions, no if not | | Duration | Duration of ride in seconds | | GForce | Max g-force | | Opened | Year it opened | | Region | Geographic region for the roller coaster |
| statcrunch_featured | Apr 3, 2017 | 48KB | 5807 |
Nutritional Data for Fast Food 2017
The dataset was collected in January of 2017 by looking through online nutritional information provided by fast food restaurant chains. Nutrition data on various burgers, a breaded chicken sandwich, a grilled chicken sandwich, chicken nuggets, french fries, and a chocolate milkshake were collected for each restaurant (when applicable). For each chain the smallest hamburger, the smallest cheeseburger, and a variety of their most well known larger burgers were selected. | statcrunch_featured | Sep 12, 2017 | 11KB | 13683 |
U.S. CBP Drug Seizure Statistics
This data set summarizes the POUNDS of drugs seized AT PORTS OF ENTRY and BETWEEN PORTS OF ENTRY. See below for information from the U.S. Customs and Border Protection agency.
"U.S. Customs and Border Protection is the nation’s largest federal law enforcement agency charged with securing the nation’s borders and facilitating international travel and trade. Our top priority is to keep terrorists and their weapons from entering the United States.
At the nation’s more than 300 ports of entry, CBP officers have a complex mission with broad law enforcement authorities tied to screening all foreign visitors, returning American citizens and imported cargo that enters the U.S. Along the nation’s borders, the United States Border Patrol and Air and Marine Operations are the uniformed law enforcement arms of CBP responsible for securing U.S. borders between ports of entry."
These data and summary were obtained from:
https://www.cbp.gov/newsroom/stats/cbp-enforcement-statistics | dlozimek | Jan 23, 2019 | 1KB | 163 |
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