| Type: | Package |
| Title: | Datasets from the Hello Data Science Book |
| Version: | 0.1.1 |
| Description: | Provides datasets used for analysis and visualizations in the open-access Hello Data Science book. |
| License: | GPL (≥ 3) |
| Encoding: | UTF-8 |
| LazyData: | true |
| Depends: | R (≥ 3.5) |
| URL: | https://hellodata-science.github.io/hellodatascience/ |
| BugReports: | https://github.com/hellodata-science/hellodatascience/issues |
| Config/roxygen2/version: | 8.0.0 |
| NeedsCompilation: | no |
| Packaged: | 2026-06-12 17:13:57 UTC; minedogucu |
| Author: | Mine Dogucu  [aut,
cre],
Catalina Medina
[aut],
Alma Castro [aut] |
| Maintainer: | Mine Dogucu <mdogucu@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2026-06-12 17:50:02 UTC |
ATUS (American Time Use Survey) College/University Student Data
Description
The 2024 data was downloaded from U.S. Bureau of Labor Statistics' website https://www.bls.gov/tus/data/datafiles-2024.htm and subset to include only respondents who are enrolled in college or university. This dataset is used only for educational purposes. Those conducting real research should download the data from its original source. BLS.gov cannot vouch for the data or analyses derived from these data after the data have been retrieved from BLS.gov.
Usage
atus_college
Format
A data frame with 312 rows and 5 variables. Each row represents a college student.
- employment
full time or part time employment status of respondent
- age
age
- enrollment
are you enrolled as a full-time or part-time student?
- weekly_earnings
weekly earnings at main job
- household_size
number of people living in respondent's household
- time_alone
total nonwork-related time respondent spent alone (in minutes)
- sleep_time
time spent sleeping
- work_time
time spent working at main job
- degree_class_time
time spent taking class for degree, certification, or licensure
- shopping_time
time spent shopping (store, telephone, internet)
- lunch_break_time
time spent taking a lunch break
- sports_time
time spent participating in sports, exercise, or recreation
- religious_time
time spent attending or participating in religious services
Source
U.S. Bureau of Labor Statistics (2025). https://nssdc.gsfc.nasa.gov/planetary/factsheet/index.html.
FIFA Confederations Data
Description
The data was obtained from FIFA website https://inside.fifa.com/associations/ and contains information on the FIFA Member Associations (MAs), also known are confederations, which are responsible for the development and governance of football/soccer within their region
Usage
confederations
Format
A data frame with 7 rows and 2 variables. Each row represents a FIFA confederation, including FIFA itself.
- confederation
name of the FIFA member association
- region
region or continent overseed by the confederation
Source
(2026). https://inside.fifa.com/associations/.
FIFA World Cup 2026 Country and Capital Data
Description
The data was obtained from The World Data website https://theworlddata.com/world-population-by-country/ which contains information on the Men's FIFA World Cup 2026 qualifying teams and their 2025 population, and from the WorldData.info website https://www.worlddata.info/capital-cities.php which contains information on the capital cities of all countries.
Usage
country_capital
Format
A data frame with 5 rows and 3 variables. Each row represents a country men's soccer team that qualified for the FIFA World Cup 2026.
- country
name of the country
- capital
name of the country's capital city
- population
population size in millions based on the United Nations Population Division estimates for 2025
Source
(2026). https://theworlddata.com/world-population-by-country/.
(2025). https://www.worlddata.info/capital-cities.php.
FIFA World Cup 2026 Country and Ranking Data
Description
The data was scraped from Whereig website https://www.whereig.com/football/fifa-world-rankings.html/ and contains information on the Men's FIFA World Cup 2026 qualifying teams and ranking data as of 01 April 2026
Usage
country_rank
Format
A data frame with 7 rows and 3 variables. Each row represents a country men's soccer team that qualified for the FIFA World Cup 2026.
- country
name of the country soccer team
- fifa_rank
FIFA world ranking as of April, 2026
- confederation
region/continent association affiliated to FIFA
Source
Whereig editors (2026). https://www.whereig.com/football/fifa-world-rankings.html/.
Mexico's and the United States' World Cup Participation Rankings Data
Description
The data was gathered from The Soccer World Cups website https://www.thesoccerworldcups.com/world_cups.php and contains information about every World Cup played including national teams, standings, and more
Usage
mx_us_wc_ranks
Format
A data frame with 2 rows and 5 variables. Each row represents Mexico's and the United States' men soccer team and their final participation ranking at the last four world cup tournaments.
- country
name of the country soccer team
- 2010
final ranking in the 2010 world cup
- 2014
final ranking in the 2014 world cup
- 2018
final ranking in the 2018 world cup
- 2022
final ranking in the 2022 world cup
Source
(2026). https://www.thesoccerworldcups.com/world_cups.php.
Penn World Data
Description
The data was downloaded from https://www.rug.nl/ggdc/productivity/pwt/ and contains information about different economic measures of countries around the world. The dataset has been subset and variable names have been modified for exercise purposes.
Usage
penn_world
Format
A data frame with 12810 rows and 14 variables. Each row represents a country in a specific year.
- Country Code
3-letter ISO country code
- Country
country name
- Currency Unit
currency unit
- Year
year
- Real GDP Expenditure
expenditure-side real GDP at chained PPPs (in mil. 2017US$)
- Real GDP Output
output-side real GDP at chained PPPs (in mil. 2017US$)
- Population
population (in millions)
- Emp
number of persons engaged (in millions)
- Average Hours
average annual hours worked by persons engaged
- PL Consumption
price level of household consumption, price level of USA GDPo in 2017=1
- PL Capital Formation
price level of capital formation, price level of USA GDPo in 2017=1
- PL Gov
price level of government consumption, price level of USA GDPo in 2017=1
- PL Exports
price level of exports, price level of USA GDPo in 2017=1
- PL Imports
price level of imports, price level of USA GDPo in 2017=1
Source
Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at http://www.ggdc.net/pwt/.
Planets Data
Description
The data was scraped from NASA's website https://nssdc.gsfc.nasa.gov/planetary/factsheet/index.html and contains information on the planets of our Solar System
Usage
planets
Format
A data frame with 8 rows and 7 variables. Each row represents a planet.
- name
name of the planet
- mass
mass in 10^24 kg
- length_of_day
length of day in hours
- mean_temp
whether mean temperature in C is positive or not {negative}{positive}
- n_moons
number of moons
- ring_system
whether the planet has set of rings around it {TRUE} {FALSE}
- surface_pressure
surface pressure in bars
Source
David R. Williams (2024). https://nssdc.gsfc.nasa.gov/planetary/factsheet/index.html.
Fruit and Vegetable Prices
Description
How much do fruits and vegetables cost? United States Department of Agriculture (USDA) Economic Research Service (ERS), estimated average prices for 153 commonly consumed fresh and processed fruits and vegetables. USDA ERS calculated average prices at retail stores using 2022 retail scanner data from Circana (formerly Information Resources Inc. (IRI)). A selection of retail establishments—grocery stores, supermarkets, supercenters, convenience stores, drug stores, and liquor stores—across the United States provides Circana with weekly retail sales data (revenue and quantity).
Usage
produce_prices
Format
A data frame with 155 rows and 10 variables:
- id
ID of item
- produce
name of produce
- form
form of produce, either 'Canned', 'Dried', 'Fresh', 'Frozen', or 'Juice'
- retail_price
average retail price per pound or per pint
- retail_price_unit
unit for the 'retail_price', either 'per pint' or 'per pound'
- cup_equivalent_size
For most fruits and vegetables, a cup equivalent is the edible portion that will fit into a 1-cup measuring cup; for raisins and other dried fruit, it is the edible portion that will fit into a 1/2-cup; and for leafy vegetables, 2 cups. An edible cup equivalent is the unit of measurement used by the U.S. Department of Agriculture and the Department of Health and Human Services to report fruit and vegetable consumption recommendations.
- cup_equivalent_unit
unit for 'cup_equivalent_size'
- cup_equivalent_price
average retail price per 'cup_equivalent_unit' of produce
- type
type of produce, either 'fruit' or 'vegetables'
- year
year
# Add more items for each column
Source
U.S. Department of Agriculture, Economic Research Service. (2024). Fruit and vegetable prices. https://www.ers.usda.gov/data-products/fruit-and-vegetable-prices