4 datasets found
  1. 🌍 Country Comparison Dataset (USA & More) 🌍

    • kaggle.com
    Updated Sep 10, 2024
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    Waqar Ali (2024). 🌍 Country Comparison Dataset (USA & More) 🌍 [Dataset]. https://www.kaggle.com/datasets/waqi786/country-comparison-dataset-usa-and-more
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 10, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Waqar Ali
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    United States
    Description

    This dataset offers a detailed comparison of key global players like USA, Russia, China, India, Canada, Australia, and others across various economic, social, and environmental metrics. By comparing countries on indicators such as GDP, population, healthcare access, education levels, internet penetration, military spending, and much more, this dataset provides valuable insights for researchers, policymakers, and analysts.

    🔍 Key Comparisons:

    Economic Indicators: GDP, inflation rates, unemployment rates, etc. Social Indicators: Literacy rates, healthcare quality, life expectancy, etc. Environmental Indicators: CO2 emissions, renewable energy usage, protected areas, etc. Technological Advancements: Internet users, mobile subscriptions, tech exports, etc. Military Spending: Defense budgets, military personnel numbers, etc. This dataset is perfect for those who want to compare countries in terms of development, growth, and global standing. It can be used for data analysis, policy planning, research, and even education.

    ✨ Key Features:

    Comprehensive Coverage: Includes multiple countries with key metrics. Multiple Domains: Economic, social, environmental, technological, and military data. Up-to-date Information: Covers data from the last decade to provide recent insights. Research Ready: Suitable for academic research, visualizations, and analysis.

  2. Survey of U.S. and Canadian librarians on open pedagogy

    • data.niaid.nih.gov
    • nde-dev.biothings.io
    • +1more
    zip
    Updated Aug 2, 2024
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    Teresa Auch Schultz; Elena Azadbakht; Kathleen Anderson (2024). Survey of U.S. and Canadian librarians on open pedagogy [Dataset]. http://doi.org/10.5061/dryad.98sf7m0qq
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 2, 2024
    Dataset provided by
    University of Nevada, Reno
    Authors
    Teresa Auch Schultz; Elena Azadbakht; Kathleen Anderson
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Canada, United States
    Description

    With the growth of open pedagogy has come the growth of library support for open pedagogy. Likewise, more and more case studies are demonstrating how librarians use open pedagogy to support student growth in information literacy, specifically the Association of College & Research Libraries’ Framework for Information Literacy in Higher Education. However, little has been done to look at the broader picture of how librarians are supporting open pedagogy and how ready they feel to do so, especially in connecting open pedagogy to information literacy. This data comes from a survey of librarians in the United States and Canada who work in information literacy instruction and/or open education about their practice in open pedagogy. Methods The project used a survey, created in Qualtrics, to help answer the research questions. The survey was designed with four broad sections. The first focused on gathering background information about the participants and their institution, as well as their comfort level with open pedagogy, support provided at their institutions for open education, and then finally whether they have supported open pedagogy in a higher education course. Those who answered negatively to supporting open pedagogy were then directed to a second section available only to them about their interest in eventually supporting open pedagogy. Those who answered they had supported open pedagogy were directed to a third section that asked them about their experience with open pedagogy. Finally, all participants were directed to the fourth section, which asked them about barriers and needs to help support open pedagogy. The University of Nevada, Reno's Institutional Review Board granted the research project an exempt status. The survey was open to any active academic librarian in the United States or Canada who currently works in library instruction and/or open education. The authors opted to focus on these two areas of librarianship as the most likely areas to support open pedagogy. The survey was launched to seven listservs: ACRL Scholarly Communication, ACRL Instruction Section, ACRL Library Instruction Roundtable, ACRL Community and Junior College Libraries Section, SPARC’s LibOER, Creative Commons Open Education Platform, and the Medical Library Association’s MEDLIB-L. Reminder emails were sent on July 19 and August 7. Two hundred and eight respondents began the survey; 15 did not meet the inclusion criteria, and 48 did not complete the survey, leaving 145 respondents. No question required a response, however, meaning response totals for some questions might be less than 145. The data was cleaned and analyzed using RStudio version 2022.02.3+492. Open-text responses were removed from this dataset to help protect participants' privacy.

  3. G

    Navigating Reading Week in Mexico and the United States

    • ouvert.canada.ca
    • open.canada.ca
    html
    Updated Oct 9, 2025
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    Global Affairs Canada (2025). Navigating Reading Week in Mexico and the United States [Dataset]. https://ouvert.canada.ca/data/dataset/841ffcb1-a1f8-4bce-a95a-1a81bd806bd2
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 9, 2025
    Dataset provided by
    Global Affairs Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Mexico, United States
    Description

    The Government of Canada has advice to help Canadian university students travelling south during reading week have a fun and safe trip.

  4. d

    Navigating Stats Can Data & Scrubbing Data Clean with Excel Workshop

    • search.dataone.org
    • borealisdata.ca
    Updated Jul 31, 2024
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    Costanzo, Lucia; Jadon, Vivek (2024). Navigating Stats Can Data & Scrubbing Data Clean with Excel Workshop [Dataset]. http://doi.org/10.5683/SP3/FF6AI9
    Explore at:
    Dataset updated
    Jul 31, 2024
    Dataset provided by
    Borealis
    Authors
    Costanzo, Lucia; Jadon, Vivek
    Description

    Ahoy, data enthusiasts! Join us for a hands-on workshop where you will hoist your sails and navigate through the Statistics Canada website, uncovering hidden treasures in the form of data tables. With the wind at your back, you’ll master the art of downloading these invaluable Stats Can datasets while braving the occasional squall of data cleaning challenges using Excel with your trusty captains Vivek and Lucia at the helm.

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Waqar Ali (2024). 🌍 Country Comparison Dataset (USA & More) 🌍 [Dataset]. https://www.kaggle.com/datasets/waqi786/country-comparison-dataset-usa-and-more
Organization logo

🌍 Country Comparison Dataset (USA & More) 🌍

In-depth comparison of major world countries across economic, social, etc.

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 10, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Waqar Ali
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Area covered
United States
Description

This dataset offers a detailed comparison of key global players like USA, Russia, China, India, Canada, Australia, and others across various economic, social, and environmental metrics. By comparing countries on indicators such as GDP, population, healthcare access, education levels, internet penetration, military spending, and much more, this dataset provides valuable insights for researchers, policymakers, and analysts.

🔍 Key Comparisons:

Economic Indicators: GDP, inflation rates, unemployment rates, etc. Social Indicators: Literacy rates, healthcare quality, life expectancy, etc. Environmental Indicators: CO2 emissions, renewable energy usage, protected areas, etc. Technological Advancements: Internet users, mobile subscriptions, tech exports, etc. Military Spending: Defense budgets, military personnel numbers, etc. This dataset is perfect for those who want to compare countries in terms of development, growth, and global standing. It can be used for data analysis, policy planning, research, and even education.

✨ Key Features:

Comprehensive Coverage: Includes multiple countries with key metrics. Multiple Domains: Economic, social, environmental, technological, and military data. Up-to-date Information: Covers data from the last decade to provide recent insights. Research Ready: Suitable for academic research, visualizations, and analysis.

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