100+ datasets found
  1. Most visited price comparison websites in Hungary 2021, by traffic share

    • statista.com
    Updated Apr 13, 2023
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    Statista (2023). Most visited price comparison websites in Hungary 2021, by traffic share [Dataset]. https://www.statista.com/statistics/1312875/hungary-traffic-share-of-the-most-popular-price-comparison-websites/
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    Dataset updated
    Apr 13, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Hungary
    Description

    Árukereső was the most popular price comparison portal in Hungary in 2021, based on the traffic share measured by SimilarWeb. Árgép was the second most visited price comparison site over the same time period.

  2. Leading price comparison sites in Russia Q1 2019, by monthly visitors

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Leading price comparison sites in Russia Q1 2019, by monthly visitors [Dataset]. https://www.statista.com/statistics/1073805/ranking-of-price-comparison-sites-russia-by-traffic/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    As of the first quarter of 2019, Yandex.Market was an absolute dominant in the online price comparison market across Russia with over *** monthly visitors. Tiu.ru followed the leader with roughly ** million visitors per month. The website listed third, Regmarkets, accounted for nearly ** million monthly visitors over the observed timeframe.

  3. Data from: Analysis of the Quantitative Impact of Social Networks General...

    • figshare.com
    • produccioncientifica.ucm.es
    doc
    Updated Oct 14, 2022
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    David Parra; Santiago Martínez Arias; Sergio Mena Muñoz (2022). Analysis of the Quantitative Impact of Social Networks General Data.doc [Dataset]. http://doi.org/10.6084/m9.figshare.21329421.v1
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    docAvailable download formats
    Dataset updated
    Oct 14, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    David Parra; Santiago Martínez Arias; Sergio Mena Muñoz
    License

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

    Description

    General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union". Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content? To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic. In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed.
    Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained. To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market. It includes:

    Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures

  4. 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
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    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

  5. 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/
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    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).

  6. f

    Comparison of definitions of total visits, unique visitors, bounce rate, and...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Comparison of definitions of total visits, unique visitors, bounce rate, and session duration conceptually and for the two analytics platforms: Google Analytics and SimilarWeb. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Comparison of definitions of total visits, unique visitors, bounce rate, and session duration conceptually and for the two analytics platforms: Google Analytics and SimilarWeb.

  7. Search Engines Comparison and Websites Performance

    • zenodo.org
    • data.niaid.nih.gov
    bin
    Updated Jul 1, 2023
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    Georgios Ntimo; Vasilios Ntararas; Georgios Ntimo; Vasilios Ntararas (2023). Search Engines Comparison and Websites Performance [Dataset]. http://doi.org/10.5281/zenodo.8102700
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    binAvailable download formats
    Dataset updated
    Jul 1, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Georgios Ntimo; Vasilios Ntararas; Georgios Ntimo; Vasilios Ntararas
    License

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

    Description

    The current dataset is consisted of 200 search results extracted from Google and Bing engines (100 of Google and 100 of Bing). The search terms are selected from the 10 most search keywords of 2021 based on the provided data of Google Trends. The rest of the sheets include the performance of the websites according to three technical evaluation aspects. That is, SEO, Speed and Security. The performance dataset has been developed through the utilization of CheckBot crawling tool. The whole dataset can help information retrieval scientists to compare the two engines in terms of their position/ranking and their performance related to these factors.

    For more information about the thinking of the of the structure of the dataset please contact the Information Management Lab of University of West Attica.

    Contact Persons: Vasilis Ntararas (lb17032@uniwa.gr) , Georgios Ntimo (lb17100@uniwa.gr) and Ioannis C. Drivas (idrivas@uniwa.gr)

  8. a

    Coding Index by Models Model

    • artificialanalysis.ai
    Updated May 15, 2025
    + more versions
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    Artificial Analysis (2025). Coding Index by Models Model [Dataset]. https://artificialanalysis.ai/models
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    Dataset updated
    May 15, 2025
    Authors
    Artificial Analysis
    Description

    Comparison of Represents the average of coding benchmarks in the Artificial Analysis Intelligence Index (LiveCodeBench & SciCode) by Model

  9. H

    Buy Guest Post on Techtimes

    • dataverse.harvard.edu
    Updated Jan 26, 2022
    + more versions
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    Harvard Dataverse (2022). Buy Guest Post on Techtimes [Dataset]. http://doi.org/10.7910/DVN/FDXSTO
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    Dataset updated
    Jan 26, 2022
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    What is a high quality website? Over the years the whole SEO industry is talking about the need of producing high quality content and top experts came up with the clever quote ‘Content is king’, meaning that content is the success factor of any website. While this is true, does it mean that a website with good content is also a high quality website? The answer is NO. Good content is not enough. It is one of the factors (the most important) that separates low from high quality sites but good content alone does not complete the puzzle of what is considered by Google as a high quality website. Now you can get the high quality on high quality sites like Techtimes, Vanguardngr, Nytimes, Forbes etc. You can also buy Techtimes guest Post at a reasonable price from the best guest post service. What is SEO SEO is short for ‘Search Engine Optimization’. It refers to the process of increasing a websites traffic flow by optimizing several aspects of a website; such as your on-page SEO, technical SEO & off-site SEO,. Your SEO strategy should ideally be planned around your content strategy. For this you will require three elements, 1.) keywords, 2.) links and 3.) substance to piece your content strategy together. Guest Post on High quality sites can improve your SEO ranking. To improve ranking and boost ranking, buy Guest Post on Techtimes from the high quality guest post service. Characteristics of a high quality website A high quality website has the following characteristics: Unique content Content is unique both within the website itself (i.e. each page has unique content and not similar to other pages), but also compared to other websites. Demonstrate Expertise Content is produced by experts based on research and or experience. If for example the subject is health related, then the advice should be provided by qualified authors who can professionally give advice for the particular subject. Unbiased content Content is detail and describes both sides of a story and is not promoting a single product, idea or service. Accessibility A high quality website has versions for non PC users as well. It is important that mobile and tablet users can access the website without any usability issues. Usability Can the user navigate the website easily; is the website user friendly? Attention to detail Content is easy to read with images (if applicable) and free of spelling and grammar mistakes. Does it seem that the owner cares on what is published on the website or is it for the purpose of having content in order to run ads? SEO Optimized Optimizing a web site for search engines has many benefits but it is important not to overdo it. A good quality web site needs to have non-optimized content as well. This is my opinion and although some people may disagree it is a fact that over-optimization can sometimes generate the opposite results. The reason is that algorithms can sometimes interpret over-optimization as an attempt to game the system and they may take measures to prevent this from happening. Balance between content and ads It is not something bad for a website to have ads or promotions but these should not distract the users from finding the information they need. Speed A high quality website loads fast. A fast website will rank higher and create more conventions, sales and loyal readers. Social Social media changed our lives, the way we communicate but also the way we assess quality. It is expected for a good product to have good reviews, Facebook likes and Tweets. Before you make a decision to buy or not, you may examine these social factors as well. Likewise, It is also expected for a good website to be socially accepted and recognized i.e. have Facebook followers, RSS subscribers etc. User Engagement and Interaction Do users spend enough time on the site and read more than one pages before they leave? Do they interact with the content by adding comments, making suggestions, getting into conversations etc.? Better than the competition When you take a specific keyword, is your website better than your competitors? Does it deserve one of the top positions if judged without bias?

  10. Comparison of traffic sources to Slack and Salesforce webpages 2019

    • statista.com
    Updated Feb 21, 2022
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    Statista (2022). Comparison of traffic sources to Slack and Salesforce webpages 2019 [Dataset]. https://www.statista.com/statistics/1025255/worldwide-slack-salesforce-traffic-source-to-webpage/
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    Dataset updated
    Feb 21, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2019
    Area covered
    Worldwide
    Description

    This statistic shows a comparison of webpage traffic sources of Slack and Salesforce in April 2019. According to data collected by GP Bullhound, ninety-six percent of Slack's webpage traffic during the measured period was direct, compared to Salesforce's more mixed traffic strategy.

  11. p

    Chapel Hill-Carrboro City Schools School District

    • publicschoolreview.com
    json, xml
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    Public School Review, Chapel Hill-Carrboro City Schools School District [Dataset]. https://www.publicschoolreview.com/north-carolina/chapel-hill-carrboro-city-schools-school-district/3700720-school-district
    Explore at:
    json, xmlAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

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

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    Chapel Hill-Carrboro Schools, Chapel Hill
    Description

    Historical Dataset of Chapel Hill-Carrboro City Schools School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (2011-2013),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1993-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Comparison of Students By Grade Trends

  12. f

    Comparison of user, site, and network-centric approaches to web analytics...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Comparison of user, site, and network-centric approaches to web analytics data collection showing advantages, disadvantages, and examples of each approach at the time of the study. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Comparison of user, site, and network-centric approaches to web analytics data collection showing advantages, disadvantages, and examples of each approach at the time of the study.

  13. H

    Buy Guest Post on Jpost

    • dataverse.harvard.edu
    Updated Jan 26, 2022
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    Harvard Dataverse (2022). Buy Guest Post on Jpost [Dataset]. http://doi.org/10.7910/DVN/P09ECQ
    Explore at:
    Dataset updated
    Jan 26, 2022
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    What is a high quality website? Over the years the whole SEO industry is talking about the need of producing high quality content and top experts came up with the clever quote ‘Content is king’, meaning that content is the success factor of any website. While this is true, does it mean that a website with good content is also a high quality website? The answer is NO. Good content is not enough. It is one of the factors (the most important) that separates low from high quality sites but good content alone does not complete the puzzle of what is considered by Google as a high quality website. Now you can get the high quality on high quality sites like Nytimes, Jpost, Huffpost and Forbes etc. You can also buy Jpost guest Post at a reasonable price from the best guest post service. What is SEO SEO is short for ‘Search Engine Optimization’. It refers to the process of increasing a websites traffic flow by optimizing several aspects of a website; such as your on-page SEO, technical SEO & off-site SEO,. Your SEO strategy should ideally be planned around your content strategy. For this you will require three elements, 1.) keywords, 2.) links and 3.) substance to piece your content strategy together. Guest Post on High quality sites can improve your SEO ranking. To improve ranking and boost ranking, buy Guest Post on Jpost from the high quality guest post service. Characteristics of a high quality website A high quality website has the following characteristics: Unique content Content is unique both within the website itself (i.e. each page has unique content and not similar to other pages), but also compared to other websites. Demonstrate Expertise Content is produced by experts based on research and or experience. If for example the subject is health related, then the advice should be provided by qualified authors who can professionally give advice for the particular subject. Unbiased content Content is detail and describes both sides of a story and is not promoting a single product, idea or service. Accessibility A high quality website has versions for non PC users as well. It is important that mobile and tablet users can access the website without any usability issues. Usability Can the user navigate the website easily; is the website user friendly? Attention to detail Content is easy to read with images (if applicable) and free of spelling and grammar mistakes. Does it seem that the owner cares on what is published on the website or is it for the purpose of having content in order to run ads? SEO Optimized Optimizing a web site for search engines has many benefits but it is important not to overdo it. A good quality web site needs to have non-optimized content as well. This is my opinion and although some people may disagree it is a fact that over-optimization can sometimes generate the opposite results. The reason is that algorithms can sometimes interpret over-optimization as an attempt to game the system and they may take measures to prevent this from happening. Balance between content and ads It is not something bad for a website to have ads or promotions but these should not distract the users from finding the information they need. Speed A high quality website loads fast. A fast website will rank higher and create more conventions, sales and loyal readers. Social Social media changed our lives, the way we communicate but also the way we assess quality. It is expected for a good product to have good reviews, Facebook likes and Tweets. Before you make a decision to buy or not, you may examine these social factors as well. Likewise, It is also expected for a good website to be socially accepted and recognized i.e. have Facebook followers, RSS subscribers etc. User Engagement and Interaction Do users spend enough time on the site and read more than one pages before they leave? Do they interact with the content by adding comments, making suggestions, getting into conversations etc.? Better than the competition When you take a specific keyword, is your website better than your competitors? Does it deserve one of the top positions if judged without bias?

  14. f

    Web Index - Overall score and rank by country 2014

    • figure.nz
    csv
    Updated Dec 31, 2014
    + more versions
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    Figure.NZ (2014). Web Index - Overall score and rank by country 2014 [Dataset]. https://figure.nz/table/UADqF0YRlLxCyyKR
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    csvAvailable download formats
    Dataset updated
    Dec 31, 2014
    Dataset provided by
    Figure.NZ
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    New Zealand
    Description

    Designed and produced by the World Wide Web Foundation, the Web Index is the world’s first measure of the World Wide Web’s contribution to social, economic and political progress in countries across the world. http://thewebindex.org/about/ Scores are given in the areas of universal access; freedom and openness; relevant content; and empowerment. First released in 2012, the 2014-15 Index has been expanded and refined to include a total of 86 countries and features an enhanced data set, particularly in the areas of gender, Open Data, privacy rights and censorship. The Index combines existing secondary data with new primary data derived from an evidence-based expert assessment survey. The Web Index provides an objective and robust evidence base to inform public dialogue on the steps needed for societies to leverage greater value from the Web. It is published annually and resources permitting, it will continue to be expanded to cover more countries in the coming years. It will eventually allow for comparisons of trends over time and the benchmarking of performance across countries, continuously improving our understanding of the Web’s value for humanity.

  15. f

    Summary of results comparing Google Analytics and SimilarWeb for total...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Summary of results comparing Google Analytics and SimilarWeb for total visits, unique visitors, bounce rate, and average session duration. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Difference uses Google Analytics as the Baseline. Results based on Paired t-Test for Hypotheses Supported.

  16. a

    Math Index by Models Model

    • artificialanalysis.ai
    Updated May 15, 2025
    + more versions
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    Artificial Analysis (2025). Math Index by Models Model [Dataset]. https://artificialanalysis.ai/models
    Explore at:
    Dataset updated
    May 15, 2025
    Authors
    Artificial Analysis
    Description

    Comparison of Represents the average of math benchmarks in the Artificial Analysis Intelligence Index (AIME 2024 & Math-500) by Model

  17. p

    Princess Anne High School

    • publicschoolreview.com
    json, xml
    Updated Feb 20, 2020
    + more versions
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    Public School Review (2020). Princess Anne High School [Dataset]. https://www.publicschoolreview.com/princess-anne-high-school-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset updated
    Feb 20, 2020
    Dataset authored and provided by
    Public School Review
    License

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

    Time period covered
    Jan 1, 1993 - Dec 31, 2025
    Description

    Historical Dataset of Princess Anne High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1993-2023),Total Classroom Teachers Trends Over Years (1994-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1994-2023),Asian Student Percentage Comparison Over Years (1993-2023),Hispanic Student Percentage Comparison Over Years (1993-2023),Black Student Percentage Comparison Over Years (1993-2023),White Student Percentage Comparison Over Years (1993-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1993-2023),Free Lunch Eligibility Comparison Over Years (2003-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2003-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2021),Math Proficiency Comparison Over Years (2010-2023),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2013-2023)

  18. f

    Ranking top 17 web sites according to flow distances and comparisons with...

    • figshare.com
    xls
    Updated May 31, 2023
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    Xiaodan Lou; Yong Li; Weiwei Gu; Jiang Zhang (2023). Ranking top 17 web sites according to flow distances and comparisons with other ranking methods. [Dataset]. http://doi.org/10.1371/journal.pone.0165240.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Xiaodan Lou; Yong Li; Weiwei Gu; Jiang Zhang
    License

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

    Description

    Ranking top 17 web sites according to flow distances and comparisons with other ranking methods.

  19. a

    Intelligence vs. Output Speed by Models Model

    • artificialanalysis.ai
    Updated May 15, 2025
    + more versions
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    Artificial Analysis (2025). Intelligence vs. Output Speed by Models Model [Dataset]. https://artificialanalysis.ai/models
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    Dataset updated
    May 15, 2025
    Authors
    Artificial Analysis
    Description

    Comprehensive comparison of Artificial Analysis Intelligence Index vs. Output Speed (Output Tokens per Second) by Model

  20. a

    Tokens used to run all evaluations in the Artificial Analysis Intelligence...

    • artificialanalysis.ai
    Updated May 15, 2025
    + more versions
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    Artificial Analysis (2025). Tokens used to run all evaluations in the Artificial Analysis Intelligence Index by Models Model [Dataset]. https://artificialanalysis.ai/models
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    Dataset updated
    May 15, 2025
    Authors
    Artificial Analysis
    Description

    Comparison of Tokens used to run all evaluations in the Artificial Analysis Intelligence Index by Model

Share
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Statista (2023). Most visited price comparison websites in Hungary 2021, by traffic share [Dataset]. https://www.statista.com/statistics/1312875/hungary-traffic-share-of-the-most-popular-price-comparison-websites/
Organization logo

Most visited price comparison websites in Hungary 2021, by traffic share

Explore at:
Dataset updated
Apr 13, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2021
Area covered
Hungary
Description

Árukereső was the most popular price comparison portal in Hungary in 2021, based on the traffic share measured by SimilarWeb. Árgép was the second most visited price comparison site over the same time period.

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