Data Set/Description |
Owner |
Last edited |
Size |
Views |
Car Details 2019 Models
This data set contains info on the 2019 models of widely sold cars. MSRP stands for Manufacture Suggested Retail Price, and MPG stands for Miles Per Gallon.
This data set was originally uploaded to StatCrunch by the parasami user. | statcrunch_featured | Nov 13, 2019 | 21KB | 646 |
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 | 8622 |
Average wedding costs
Average wedding costs in 25 largest metro areas | m.smith96 | Oct 2, 2019 | 260B | 443 |
Cost of living by country
Apartment (3 bedrooms) in City Centre. Based on 0-50 contributions for Afghanistan, Aland Islands, Andorra and 81 more countries and 50-100 contributions for Albania, Algeria, Armenia and 19 more countries and over 100 contributions for Argentina, Australia, Austria and 82 more countries. The surveys were conducted by numbeo.com from May, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "Apartment (3 bedrooms) in City Centre". Prices in current USD.
| ldox618 | Jan 6, 2015 | 5KB | 1415 |
NY Times: The Most Economically Diverse Top Colleges
To measure top colleges efforts on economic diversity, The Upshot calculated a College Access Index, based on the percentage of freshmen in recent years who came from low-income families (measured by the share receiving a Pell grant) and on the net price of attendance for low- and middle-income families. The recent Pell (2012 - 2014) number for each college is the average percentage of the freshman class that received a Pell grant in 2011-12, 2012-13 and 2013-14; not all colleges had 2013 data yet. The earlier Pell (2008) value is for the fall of 2007. Average net price is the average total cost of attendance in 2012-13, including tuition, fees, room and board, after taking into account federal, state and institutional financial aid, for students who come from households earning between $30,000 and $48,000 a year and qualifying for federal aid.
Endowment per student is for the year 2011-12 and includes graduate students. The College Access Index is a combination of net price and the Pell average for 2011, 2012 and 2013, using a statistical technique known as a z-score. A college with an average score on the two measures in combination will receive a zero. | statcrunchhelp | Sep 10, 2014 | 4KB | 1406 |
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 |
| ntorno8 | Sep 15, 2016 | 48KB | 16384 |
2018 Vehicles Dataset
This data is taken from the website https://www.fueleconomy.gov/feg/download.shtml. It's vehicles that were made in 2018. The variables include FE Rating, Tailpipe CO2 emissions, annual fuel cost, etc. Both categorical and quantitative variables are present. | habarker | Feb 12, 2019 | 133KB | 672 |
Medical Costs
sex: insurance contractor gender, female, male
bmi: Body mass index, providing an understanding of body, weights that are relatively high or low relative to height, objective index of body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9
children: Number of children covered by health insurance / Number of dependents
smoker: Smoking
region: the beneficiary's residential area in the US, northeast, southeast, southwest, northwest.
charges: Individual medical costs billed by health insurance | szavorka2 | Apr 21, 2018 | 46KB | 694 |
D1.6
Dataset: airline_costs.dat
Source: J.W. Proctor and J.S. Duncan (1954). "A Regression Analysis
of Airline Costs," Journal of Air Law and Commerce, Vol.21, #3, pp.282-292.
Description: Regression relating Operating Costs per revenue ton-mile to 7 factors: length of flight, speed of plane, daily flight time per aircraft, population served, ton-mile load factor, available tons per aircraft mile, and firms net assets. Regression based on natural logarithms of all factors, except load factor. Load factor and available tons (capacity) for Northeast Airlines was imputed from summary calculations.
Variables/columns
Airline 1-20
Length of flight (miles) 22-28
L_Group (inserted) Long (>175), Med (>60), Short (<69)
Speed of Plane (miles per hour) 30-36
Daily Flight Time per plane (hours) 38-44
Population served (1000s) 46-52
Total Operating Cost (cents per revenue ton-mile) 54-60
Revenue Tons per Aircraft mile 62-68
Ton-Mile load factor (proportion) 70-76
Available Capacity (Tons per mile) 78-84
Total Assets ($100,000s) 86-92
Investments and Special Funds ($100,000s) 94-100
Adjusted Assets ($100,000s) 102-108 | housew1 | Jul 3, 2019 | 2KB | 82 |
Responses to News Media Survey
Respondents provided their primary news source for current events (Primary News Source), their most trusted news network (Trusted News Network), the number of minutes they spend per day on the news (Time News per Day), the $ amount they spend per month on news sources (Spent News per Month), their age (Age), and their gender (Gender).
| scsurvey | Apr 9, 2018 | 229KB | 359 |
T-test Data for Module 8/9
A list of 40 college textbooks that are printed and sold in bound form (hardcover/paperback) and loose-leaf along with the cost of each. This is an apple to apple list. So if the bound version came with an access code/subscription the loose-leaf does as well.
This was to see if loose-leaf publications are actually cheaper than bound books. | smithf1 | Aug 3, 2014 | 4KB | 229 |
Energy_Prices__Dollars_per_Million_Btu__Beginning_1970.csv
New York Energy Prices presents retail energy price data. Energy prices are provided by fuel type in nominal dollars per million Btu for the residential, commercial, industrial, and transportation sectors. This section includes a column in the price table displaying gross domestic product (GDP) price deflators for converting nominal (current year) dollars to constant (real) dollars. To convert nominal to constant dollars, divide the nominal energy price by the GDP price deflator for that particular year. Historical petroleum, electricity, coal, and natural gas prices were compiled primarily from the Energy Information Administration. | levigeyer1 | Apr 9, 2019 | 12KB | 176 |
FuelCost2000_2007.xlsx
Clean Cities Alternative Fuel Price Reports, (http://www.afdc.energy.gov/fuels/prices.html)
Electricity prices are taken from EIA's Real Prices Viewer (http://www.eia.gov/forecasts/steo/realprices/).
Notes:
*Electricity prices are reduced by a factor of 3.4 because electric motors are 3.4 times as efficient (on a BTU basis) as internal combustion engines. Efficiency adjustments were not made for other fuels because they are much smaller and inconsistent. Residential electricity prices were used because most recharging events occur at home. Residential real prices were converted to $/GGEs at a conversion of 33.7 kWh per GGE (per AFDC www.afdc.energy.gov/fuels/fuel_properties.php), then adjusted for efficiency because electric vehicles are 3.4 times as efficient as internal combustion engines (per GREET 1 2012 rev2 http://greet.es.anl.gov/)
**Propane prices reflect the weighted average of "primary" and "secondary" stations. Primary stations have dedicated vehicle services and tend to be less expensive. Secondary stations are priced for the tanks and bottles market, and tend to be more expensive. Secondary stations are over-represented in the above chart because they comprise only 56% of the propane stations registered in the AFDC but approximately 75% of the stations in the price report.
For data collection methodology, please see the actual price report.
The number of stations surveyed, and therefore the quality of the data, increase throughout time. The most notable increase was for the 9/1/05 report.
CNG, Propane, E85, and B20 prices were median prices before 9/1/05 and mean prices after this date.
Starting in the 9/1/05 issue, prices were averaged over longer periods (generally 1 month rather than 1 week).
Worksheet available at www.afdc.energy.gov/data/
Last updated 5/17/2017
| ybutterworth | Jun 8, 2017 | 3KB | 201 |
IllinoisvsPennMedicareCost
Comparison of Average Medicare Cost in the hospitals of Illinois and Pennsylvania for 2011 | emyam1 | Jul 12, 2017 | 269KB | 55 | Best Public College Values
Variables: admit rate, 4-yr grad rate, total cost/yr, avg. need-based aid, avg non-need-based aid, % of non-need-based aid (percentage of all undergraduates without need who received non-need-based aid), avg. debt at graduation. | treiland | Dec 3, 2019 | 13KB | 3 |
|