100+ datasets found
  1. Bolivia: Alexa ranking of leading websites 2022, by daily page views

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Bolivia: Alexa ranking of leading websites 2022, by daily page views [Dataset]. https://www.statista.com/statistics/1204245/alexa-leading-websites-bolivia-daily-page-views/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Bolivia
    Description

    Google.com was the website with the most page views per day in Bolivia in February 2022, according to ranking by Alexa. The website had more than ***** daily page views and was followed by Unitel.bo, with ** page views per day that month. Within Latin America, Mexico was the country where Amazon Alexa contained the largest number of skills.

  2. w

    Websites using SE Ranking

    • webtechsurvey.com
    csv
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    WebTechSurvey, Websites using SE Ranking [Dataset]. https://webtechsurvey.com/technology/se-ranking
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the SE Ranking technology, compiled through global website indexing conducted by WebTechSurvey.

  3. Image and video content criteria ranking by importance on websites in France...

    • ai-chatbox.pro
    • statista.com
    Updated Nov 22, 2024
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    Tiago Bianchi (2024). Image and video content criteria ranking by importance on websites in France 2020 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F7599%2Fstate-of-seo-strategies-in-france%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Tiago Bianchi
    Area covered
    France
    Description

    The textual content on website for the SEO performance was unanimously considered as very important, according to French SEO professionals in 2020. Other than that, for half of SEOs, high image definition was not a major positioning criterion. However, according to the source, Google is starting to indicate that this is important, but mainly for the user experience for now. For images using an optimized alt tag, it was considered to be important with 3.44 points out of five, five representing the most important score.

  4. Academic ranking of world universities Analytics

    • kaggle.com
    Updated Aug 27, 2020
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    shivan kumar (2020). Academic ranking of world universities Analytics [Dataset]. https://www.kaggle.com/shivan118/world-university-rankings-analytics/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 27, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    shivan kumar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    In this Datasets, you check how the performance of the university depends on every factor like the Location of the University, Quality of Faculty, Facility, Alumni Employment, etc.......

    Content

    This is the Academic Ranking datasets of the top 1000 world universities.

    Columns Name

    • World Rank
    • Institution
    • Location
    • National Rank
    • Quality of Education
    • Alumni Employment
    • Quality of Faculty
    • Research Output
    • Quality Publications
    • Influence Citations Score

    Inspiration

    Good luck and enjoy the learning!

  5. d

    Replication data for: Top 10 Law School Home Pages of 2010

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Roger V. Skalbeck; Jason Eiseman (2023). Replication data for: Top 10 Law School Home Pages of 2010 [Dataset]. http://doi.org/10.7910/DVN/DOVSSH
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Roger V. Skalbeck; Jason Eiseman
    Time period covered
    Jan 1, 2010 - Dec 31, 2010
    Description

    This ranking report attempts to identify the best law school home pages based exclusively on objective criteria. The goal is to assess elements that make websites easier to use for sighted as well as visually-impaired users. Most elements require no special design skills, sophisticated technology or significant expenses. Ranking results in this report represent reasonably relevant elements. In this report, 200 ABA-accredited law school home pages are analyzed and ranked for twenty elements in three broad categories: Design Patterns & Metadata; Accessibility & Validation; and Marketing & Communications. As was the case in 2009, there is still no objective way to account for good taste. For interpreting these results, we don't try to decide if any whole is greater or less than the sum of its parts.

  6. c

    Data from: AS Rank

    • catalog.caida.org
    Updated Jul 31, 2018
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    CAIDA (2018). AS Rank [Dataset]. https://catalog.caida.org/dataset/as_rank
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    Dataset updated
    Jul 31, 2018
    Dataset authored and provided by
    CAIDA
    License

    https://www.caida.org/about/legal/aua/public_aua/https://www.caida.org/about/legal/aua/public_aua/

    Time period covered
    Nov 1, 2011 - Jul 2025
    Description

    AS Rank is CAIDA's ranking of Autonomous Systems (AS) (which approximately map to Internet Service Providers) and organizations (Orgs) (which are a collection of one or more ASes). This ranking is derived from topological data collected by CAIDA's Archipelago Measurement Infrastructure and Border Gateway Protocol (BGP) routing data collected by the Route Views Project and RIPE NCC.
    ASes and Orgs are ranked by their customer cone size, which is the number of their direct and indirect customers.
    Note: We do not have data to rank ASes (ISPs) by traffic, revenue, users, or any other non-topological metric..

  7. Most linked to websites worldwide 2024

    • statista.com
    • ai-chatbox.pro
    Updated Dec 4, 2024
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    Statista (2024). Most linked to websites worldwide 2024 [Dataset]. https://www.statista.com/statistics/268236/most-linked-websites/
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    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    Worldwide
    Description

    Google.com continues to dominate the digital landscape, ranking as the most linked-to website worldwide with 468,745 referring subnets as of December 2024. Facebook.com follows closely in second place with 470,479 referring subnets, while YouTube.com ranked third with 417,827.

  8. A

    ‘QS World University Rankings 2017 - 2022’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Aug 1, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘QS World University Rankings 2017 - 2022’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-qs-world-university-rankings-2017-2022-7fc4/d793e726/?iid=007-103&v=presentation
    Explore at:
    Dataset updated
    Aug 1, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘QS World University Rankings 2017 - 2022’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/padhmam/qs-world-university-rankings-2017-2022 on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    QS World University Rankings is an annual publication of global university rankings by Quacquarelli Symonds. The QS ranking receives approval from the International Ranking Expert Group (IREG), and is viewed as one of the three most-widely read university rankings in the world. QS publishes its university rankings in partnership with Elsevier.

    Content

    This dataset contains university data from the year 2017 to 2022. It has a total of 15 features. - university - name of the university - year - year of ranking - rank_display - rank given to the university - score - score of the university based on the six key metrics mentioned above - link - link to the university profile page on QS website - country - country in which the university is located - city - city in which the university is located - region - continent in which the university is located - logo - link to the logo of the university - type - type of university (public or private) - research_output - quality of research at the university - student_faculty_ratio - number of students assigned to per faculty - international_students - number of international students enrolled at the university - size - size of the university in terms of area - faculty_count - number of faculty or academic staff at the university

    Acknowledgements

    This dataset was acquired by scraping the QS World University Rankings website with Python and Selenium. Cover Image: Source

    Inspiration

    Some of the questions that can be answered with this dataset, 1. What makes a best ranked university? 2. Does the location of a university play a role in its ranking? 3. What do the best universities have in common? 4. How important is academic research for a university? 5. Which country is preferred by international students?

    --- Original source retains full ownership of the source dataset ---

  9. s

    Data from: Scimago Institutions Rankings

    • scimagoir.com
    • 0221.com.ar
    • +1more
    csv
    Updated Sep 25, 2009
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    Scimago Lab (2009). Scimago Institutions Rankings [Dataset]. https://www.scimagoir.com/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 25, 2009
    Dataset authored and provided by
    Scimago Lab
    Description

    The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators. For comparative purposes, the value of the composite indicator has been set on a scale of 0 to 100. However the line graphs and bar graphs always represent ranks (lower is better, so the highest values are the worst).

  10. Esports Performance Rankings and Results

    • kaggle.com
    Updated Dec 12, 2022
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    The Devastator (2022). Esports Performance Rankings and Results [Dataset]. https://www.kaggle.com/datasets/thedevastator/unlocking-collegiate-esports-performance-with-bu/suggestions
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 12, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    The Devastator
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Esports Performance Rankings and Results

    Performance Rankings and Results from Multiple Esports Platforms

    By [source]

    About this dataset

    This dataset provides a detailed look into the world of competitive video gaming in universities. It covers a wide range of topics, from performance rankings and results across multiple esports platforms to the individual team and university rankings within each tournament. With an incredible wealth of data, fans can discover statistics on their favorite teams or explore the challenges placed upon university gamers as they battle it out to be the best. Dive into the information provided and get an inside view into the world of collegiate esports tournaments as you assess all things from Match ID, Team 1, University affiliations, Points earned or lost in each match and special Seeds or UniSeeds for exceptional teams. Of course don't forget about exploring all the great Team Names along with their corresponding websites for further details on stats across tournaments!

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    Download Files First, make sure you have downloaded the CS_week1, CS_week2, CS_week3 and seeds datasets on Kaggle. You will also need to download the currentRankings file for each week of competition. All files should be saved using their originally assigned name in order for your analysis tools to read them properly (ie: CS_week1.csv).

    Understand File Structure Once all data has been collected and organized into separate files on your desktop/laptop computer/mobile device/etc., it's time to become familiar with what type of information is included in each file. The main folder contains three main data files: week1-3 and seedings. The week1-3 contain teams matched against one another according to university, point score from match results as well as team name and website URL associated with university entry; whereas the seedings include a ranking system amongst university entries which are accompanied by information regarding team names, website URLs etc.. Furthermore, there is additional file featured which contains currentRankings scores for each individual player/teams for an first given period of competition (ie: first week).

    Analyzing Data Now that everything is set up on your end it’s time explore! You can dive deep into trends amongst universities or individual players in regards to specific match performances or standings overall throughout weeks of competition etc… Furthermore you may also jumpstart insights via further creation of graphs based off compiled date from sources taken from BUECTracker dataset! For example let us say we wanted compare two universities- let's say Harvard University v Cornell University - against one another since beginning of event i we shall extract respective points(column),dates(column)(found under result tab) ,regions(csilluminating North America vs Europe etc)general stats such as maps played etc.. As well any other custom ideas which would come along in regards when dealing with similar datasets!

    Research Ideas

    • Analyze the performance of teams and identify areas for improvement for better performance in future competitions.
    • Assess which esports platforms are the most popular among gamers.
    • Gain a better understanding of player rankings across different regions, based on rankings system, to create targeted strategies that could boost individual players' scoring potential or team overall success in competitive gaming events

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

    Columns

    File: CS_week1.csv | Column name | Description | |:---------------|:----------------------------------------------| | Match ID | Unique identifier for each match. (Integer) | | Team 1 | Name of the first team in the match. (String) | | University | University associated with the team. (String) |

    File: CS_week1_currentRankings.csv | Column name | Description | |:--------------|:-----------------------------------------------------------|...

  11. University Rankings 2011-2020: THE & CWUR

    • kaggle.com
    Updated Jan 27, 2021
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    group35 (2021). University Rankings 2011-2020: THE & CWUR [Dataset]. https://www.kaggle.com/datasets/maxplattner/university-rankings-the-by-subject-cwur/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 27, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    group35
    Description

    Content

    The Times Higher Education (by subject) rankings have been retrieved from the official THE website. While the THE by subject rankings vary w.r.t. the periods they cover, the overall THE rankings comprise the respective data from 2011-2020. Also the data by the Center for World University Rankings have been retrieved from the center's website and they cover the period from 2012-2020.

    Individual THE by subject rankings can be accessed via the columnsubject:

    • Arts & Humanities
    • Business & Economics
    • Clinical, pre-clinical & health
    • Computer science
    • Education
    • Engineering & Technology
    • Law
    • Life sciences
    • Physical sciences
    • Psychology
    • Social sciences

    Inspiration

    These data may contribute to answer the following questions: - How do university rankings change over time? - Which characteristics of universities contribute most to good rankings, or to large changes in the ranking position? - How do these characteristics correlate with characteristics of cities or countries in which the university is located? - Are there predictors for increases or decreases in the rankings? - etc.

  12. Textual content criteria ranking on websites France in 2020, by importance

    • statista.com
    • ai-chatbox.pro
    Updated Jul 10, 2025
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    Statista (2025). Textual content criteria ranking on websites France in 2020, by importance [Dataset]. https://www.statista.com/statistics/1220541/textual-content-criteria-ranking-importance-websites-france/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    France
    Description

    The textual content on website for the SEO performance was unanimously considered as very important for French SEO professionals in 2020. The first ***** criteria in the content category stand out from the rest of the study by the unanimity they generated within the SEO community: between ** and ** percent of SEOs gave them a score equal to or greater than * out of 5. The most important criteria was the relevance of the page content with *** points out of 5.

  13. Media Web Reputation Ranking - SCImago

    • kaggle.com
    Updated Apr 9, 2025
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    Ali Jalaali (2025). Media Web Reputation Ranking - SCImago [Dataset]. https://www.kaggle.com/datasets/alijalali4ai/media-web-reputation-ranking-scimago
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 9, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ali Jalaali
    Description

    Using four metrics—**Authority Score, Referring Domains, Citation Flow, and Trust Flow**—with an equal weight of 25%, SCImago constructs an overall indicator that reflects media websites’ digital reputation. The results define their relative position in the ranking and permit a comparison of digital development and leadership.

    ☢️❓The entire dataset is obtained from public and open-access data of SCImago Media Rankings

  14. f

    Top 15 websites with highest PageRank.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Peiteng Shi; Xiaohan Huang; Jun Wang; Jiang Zhang; Su Deng; Yahui Wu (2023). Top 15 websites with highest PageRank. [Dataset]. http://doi.org/10.1371/journal.pone.0136243.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Peiteng Shi; Xiaohan Huang; Jun Wang; Jiang Zhang; Su Deng; Yahui Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The numbers in the parentheses are the ranking orders according to the focus indicators.Top 15 websites with highest PageRank.

  15. Women's ranking of an appealing design for a website that shows visual...

    • statista.com
    Updated Jan 31, 2015
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    Statista (2015). Women's ranking of an appealing design for a website that shows visual content [Dataset]. https://www.statista.com/statistics/595493/women-s-ranking-of-an-appealing-design-for-a-website-that-shows-visual-content-in-us/
    Explore at:
    Dataset updated
    Jan 31, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2014
    Area covered
    United States
    Description

    This statistic shows the results of a 2014 Popsugar survey among American women asking them how important an appealing design is for a website that shows online visual content. During the survey, *** percent of female respondents ranked it at the top.

  16. w

    Superfund Sites

    • data.wu.ac.at
    Updated Dec 9, 2014
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    christine (2014). Superfund Sites [Dataset]. https://data.wu.ac.at/schema/data_wa_gov/MjNkMy12NGJh
    Explore at:
    Dataset updated
    Dec 9, 2014
    Dataset provided by
    christine
    Description

    This is a list of cleanup sites in Washington State. It includes sites and associated websites. It includes location data, Cleanup Status, Site Rank – if the site is ranked, and if the site has an Environmental Covenant.

    Over half the cleanup sites have a status of “No Further Action Required/Decision” or NFA. If a site has a NFA it includes the latest NFA date and NFA reason.

    The Washington Department of Ecology (Toxics Cleanup Program) works to clean up contaminated sites/properties throughout the state of Washington. This data was downloaded from the Integrated Site Information System (ISIS) database and is monthly.

  17. w

    Websites using Post Ratings

    • webtechsurvey.com
    csv
    Updated Apr 24, 2024
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    WebTechSurvey (2024). Websites using Post Ratings [Dataset]. https://webtechsurvey.com/technology/post-ratings
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 24, 2024
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Post Ratings technology, compiled through global website indexing conducted by WebTechSurvey.

  18. P

    Alexa Domains Dataset

    • paperswithcode.com
    • opendatalab.com
    Updated Feb 1, 2001
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    Isaac Corley; Jonathan Lwowski; Justin Hoffman (2001). Alexa Domains Dataset [Dataset]. https://paperswithcode.com/dataset/gagan-bhatia
    Explore at:
    Dataset updated
    Feb 1, 2001
    Authors
    Isaac Corley; Jonathan Lwowski; Justin Hoffman
    Description

    This dataset is composed of the URLs of the top 1 million websites. The domains are ranked using the Alexa traffic ranking which is determined using a combination of the browsing behavior of users on the website, the number of unique visitors, and the number of pageviews. In more detail, unique visitors are the number of unique users who visit a website on a given day, and pageviews are the total number of user URL requests for the website. However, multiple requests for the same website on the same day are counted as a single pageview. The website with the highest combination of unique visitors and pageviews is ranked the highest

  19. w

    Websites using Rating

    • webtechsurvey.com
    csv
    Updated Nov 17, 2024
    + more versions
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    WebTechSurvey (2024). Websites using Rating [Dataset]. https://webtechsurvey.com/technology/rating
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 17, 2024
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Rating technology, compiled through global website indexing conducted by WebTechSurvey.

  20. w

    Websites using Star Rating

    • webtechsurvey.com
    csv
    Updated Apr 7, 2025
    + more versions
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    WebTechSurvey (2025). Websites using Star Rating [Dataset]. https://webtechsurvey.com/technology/star-rating
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 7, 2025
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Star Rating technology, compiled through global website indexing conducted by WebTechSurvey.

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Statista (2025). Bolivia: Alexa ranking of leading websites 2022, by daily page views [Dataset]. https://www.statista.com/statistics/1204245/alexa-leading-websites-bolivia-daily-page-views/
Organization logo

Bolivia: Alexa ranking of leading websites 2022, by daily page views

Explore at:
Dataset updated
Jul 9, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Bolivia
Description

Google.com was the website with the most page views per day in Bolivia in February 2022, according to ranking by Alexa. The website had more than ***** daily page views and was followed by Unitel.bo, with ** page views per day that month. Within Latin America, Mexico was the country where Amazon Alexa contained the largest number of skills.

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