71 datasets found
  1. Empirical Analysis of Ranking Models for an Adaptable Dataset Search:...

    • figshare.com
    zip
    Updated Jun 2, 2023
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    Angelo Batista Neves JĂşnior; Luiz AndrĂŠ Portes Paes Leme; Marco Antonio Casanova (2023). Empirical Analysis of Ranking Models for an Adaptable Dataset Search: complementary material [Dataset]. http://doi.org/10.6084/m9.figshare.5620651.v4
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Angelo Batista Neves JĂşnior; Luiz AndrĂŠ Portes Paes Leme; Marco Antonio Casanova
    License

    https://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html

    Description

    This repository contains performance measures of dataset ranking models.- Usage: from Results/src run Python results m1 m2 ...such that mi can be omitted, or be any element of the list of model labels ['bayesian-12C', 'bayesian-5L', 'bayesian-5L12C', 'cos-12C', 'cos-5L', 'cos-5L5C', 'j48-12C', 'j48-5L', 'j48-5L5C', 'jrip-12C', 'jrip-5L', 'jrip-5L5C', 'sn-12C', 'sn-5L', 'sn-5L12C']. Results of selected models will be plotted in a 2D line plot. If no model is provided all models will be listed.

  2. 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 ---

  3. DataForSEO Labs API for keyword research and search analytics, real-time...

    • datarade.ai
    .json
    Updated Jun 4, 2021
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    DataForSEO (2021). DataForSEO Labs API for keyword research and search analytics, real-time data for all Google locations and languages [Dataset]. https://datarade.ai/data-products/dataforseo-labs-api-for-keyword-research-and-search-analytics-dataforseo
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Jun 4, 2021
    Dataset provided by
    Authors
    DataForSEO
    Area covered
    Korea (Democratic People's Republic of), Mauritania, Micronesia (Federated States of), Azerbaijan, Kenya, Armenia, Isle of Man, Cocos (Keeling) Islands, Tokelau, Morocco
    Description

    DataForSEO Labs API offers three powerful keyword research algorithms and historical keyword data:

    • Related Keywords from the “searches related to” element of Google SERP. • Keyword Suggestions that match the specified seed keyword with additional words before, after, or within the seed key phrase. • Keyword Ideas that fall into the same category as specified seed keywords. • Historical Search Volume with current cost-per-click, and competition values.

    Based on in-market categories of Google Ads, you can get keyword ideas from the relevant Categories For Domain and discover relevant Keywords For Categories. You can also obtain Top Google Searches with AdWords and Bing Ads metrics, product categories, and Google SERP data.

    You will find well-rounded ways to scout the competitors:

    • Domain Whois Overview with ranking and traffic info from organic and paid search. • Ranked Keywords that any domain or URL has positions for in SERP. • SERP Competitors and the rankings they hold for the keywords you specify. • Competitors Domain with a full overview of its rankings and traffic from organic and paid search. • Domain Intersection keywords for which both specified domains rank within the same SERPs. • Subdomains for the target domain you specify along with the ranking distribution across organic and paid search. • Relevant Pages of the specified domain with rankings and traffic data. • Domain Rank Overview with ranking and traffic data from organic and paid search. • Historical Rank Overview with historical data on rankings and traffic of the specified domain from organic and paid search. • Page Intersection keywords for which the specified pages rank within the same SERP.

    All DataForSEO Labs API endpoints function in the Live mode. This means you will be provided with the results in response right after sending the necessary parameters with a POST request.

    The limit is 2000 API calls per minute, however, you can contact our support team if your project requires higher rates.

    We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

    We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

  4. W

    Website Traffic Analysis Tool Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 25, 2025
    + more versions
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    Data Insights Market (2025). Website Traffic Analysis Tool Report [Dataset]. https://www.datainsightsmarket.com/reports/website-traffic-analysis-tool-1455386
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global website traffic analysis tool market is experiencing robust growth, driven by the increasing reliance on digital marketing and the need for businesses of all sizes to understand their online audience. The market, estimated at $15 billion in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $45 billion by 2033. This expansion is fueled by several key factors. The rising adoption of cloud-based solutions provides scalability and cost-effectiveness for businesses, particularly SMEs seeking affordable analytics. Moreover, the evolution of sophisticated analytics features, including advanced user behavior tracking and predictive analytics, enhances the value proposition for both SMEs and large enterprises. The market is segmented by application (SMEs and large enterprises) and by type (cloud-based and web-based), with cloud-based solutions dominating due to their accessibility and flexibility. Competitive pressures among numerous vendors, including established players like Google Analytics, Semrush, and Ahrefs, as well as emerging niche players, drive innovation and affordability, benefiting users. Geographic distribution shows strong growth across North America and Europe, with Asia-Pacific emerging as a high-growth region. However, factors such as data privacy concerns and the increasing complexity of website analytics can act as potential restraints. Despite these challenges, the continued expansion of e-commerce and digital marketing strategies across various industries will solidify the demand for robust website traffic analysis tools. The market is expected to witness further consolidation through mergers and acquisitions, with leading players investing heavily in research and development to enhance their offerings. The increasing need for real-time data analysis and integration with other marketing automation platforms will further shape market evolution. The emergence of AI-powered analytics, providing predictive insights and automated reporting, is transforming the industry and will continue to drive market expansion in the coming years. This makes this market an attractive landscape for investors and technology providers looking for strong future growth.

  5. Academic Ranking of World Universities (ARWU)

    • kaggle.com
    Updated Aug 21, 2023
    + more versions
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    Joakim Arvidsson (2023). Academic Ranking of World Universities (ARWU) [Dataset]. https://www.kaggle.com/datasets/joebeachcapital/shanghai-world-university-ranking
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 21, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Joakim Arvidsson
    Description

    This dataset presents the 500 first universities of Academic Ranking of World Universities (ARWU), also known as Shanghai Ranking, between 2005 and 2018. It highlights universities scores to ranking indicators, which measure :

    • Quality of Education, with Alumni and Award indicators (10% and 20% of the final mark)

    • Quality of Faculty, with HiCi and N&S indicators (20% and 20% of the final mark)

    • Research Output, with PUB indicator (20% of the final mark)

    • Per Capita Performance, with PCP indicator (10% of the final mark)

    More information about Shanghai ranking can be found here :

    http://www.shanghairanking.com/

  6. K

    Keyword Rank Tracking Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 16, 2025
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    Archive Market Research (2025). Keyword Rank Tracking Software Report [Dataset]. https://www.archivemarketresearch.com/reports/keyword-rank-tracking-software-30492
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Feb 16, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The keyword rank tracking software market is anticipated to witness exponential growth, with a market size valued at XXX million in 2025 and projected to reach XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. The growing demand for comprehensive solutions to monitor and improve search engine rankings, coupled with the increasing adoption of digital marketing strategies, is driving market expansion. Additionally, the advent of cloud-based platforms and advancements in artificial intelligence (AI) are further fueling market growth. Market segmentation plays a crucial role in understanding the dynamics of the keyword rank tracking software market. The market is segmented based on application (SMEs, Large Enterprises), type (Cloud-based, On-premises), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). Key players in the market include SE Ranking, SERPWatcher by Mangools, Nightwatch, SEMrush, Wincher, SEO PowerSuite, Advanced Web Ranking, AccuRanker, Authority Labs, Serpstat, Labrika, Google Search Console, Whitespark, Rank Tracker, Raven Tools, Morningscore, RankWatch, Keyword Revealer, WebCEO, SpyFu, Diib, and many others. These companies are constantly innovating and expanding their offerings to cater to the evolving needs of businesses seeking to enhance their online visibility.

  7. K

    Keyword Rank Tracking Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 22, 2025
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    Data Insights Market (2025). Keyword Rank Tracking Software Report [Dataset]. https://www.datainsightsmarket.com/reports/keyword-rank-tracking-software-1386432
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Jun 22, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The keyword rank tracking software market is experiencing robust growth, driven by the increasing reliance on SEO for online visibility and the evolving complexity of search engine algorithms. The market, estimated at $1.5 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 15% through 2033. This growth is fueled by several key factors. Firstly, businesses of all sizes are increasingly recognizing the critical role of organic search in driving website traffic and leads. Secondly, the ongoing evolution of search engine algorithms necessitates sophisticated tools capable of monitoring and analyzing rank fluctuations, enabling proactive optimization strategies. Thirdly, the market is witnessing innovation in functionality, with tools incorporating features like competitor analysis, keyword research integration, and advanced reporting capabilities, enhancing their value proposition. This is further supported by a highly competitive landscape populated by established players like SEMrush and Ahrefs alongside emerging niche solutions, fostering innovation and driving market expansion. However, the market also faces certain challenges. The high cost of advanced features in some premium solutions can be a barrier for smaller businesses. Furthermore, the ever-changing landscape of search engine algorithms requires continuous software updates and adaptation, demanding substantial resources from developers. Despite these hurdles, the market's growth trajectory remains positive, particularly propelled by the rising adoption of cloud-based solutions and an increasing demand for data-driven SEO strategies. Market segmentation reveals a strong preference for tools offering comprehensive features, robust reporting, and user-friendly interfaces. The geographical distribution of market share is expected to be relatively concentrated in regions like North America and Europe initially, with emerging markets gradually gaining traction in the coming years as digitalization accelerates.

  8. Web Analytics Market By Solution (Search Engine Tracking And Ranking, Heat...

    • verifiedmarketresearch.com
    Updated Nov 15, 2024
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    VERIFIED MARKET RESEARCH (2024). Web Analytics Market By Solution (Search Engine Tracking And Ranking, Heat Map Analytics), By Application (Social Media Management, Display Advertising Optimization), By Vertical (Baking, Financial Services And Insurance (BFSI), Retail), And Region for 2026-2032 [Dataset]. https://www.verifiedmarketresearch.com/product/web-analytics-market/
    Explore at:
    Dataset updated
    Nov 15, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2026 - 2032
    Area covered
    Global
    Description

    Web Analytics Market was valued at USD 6.16 Billion in 2024 and is projected to reach USD 13.6 Billion by 2032, growing at a CAGR of 18.58% from 2026 to 2032.

    Web Analytics Market Drivers

    Data-Driven Decision Making: Businesses increasingly rely on data-driven insights to optimize their online strategies. Web analytics provides valuable data on website traffic, user behavior, and conversion rates, enabling data-driven decision-making.

    E-commerce Growth: The rapid growth of e-commerce has fueled the demand for web analytics tools to track online sales, customer behavior, and marketing campaign effectiveness.

    Mobile Dominance: The increasing use of mobile devices for internet browsing has made mobile analytics a crucial aspect of web analytics. Businesses need to understand how users interact with their websites and apps on mobile devices.

    analytics tools can be complex to implement and use, requiring technical expertise.

  9. 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.

  10. S

    SEO Audit Tool Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 28, 2025
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    Data Insights Market (2025). SEO Audit Tool Report [Dataset]. https://www.datainsightsmarket.com/reports/seo-audit-tool-1386496
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The SEO audit tool market is experiencing robust growth, driven by the increasing reliance on search engine optimization (SEO) for online visibility and the rising complexity of search engine algorithms. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $8 billion by 2033. This expansion is fueled by several key factors. Firstly, the burgeoning demand for improved website performance and organic search rankings is pushing businesses of all sizes, from SMEs to large enterprises, to adopt sophisticated SEO audit tools. Secondly, the evolution of search algorithms necessitates continuous monitoring and optimization, creating a persistent need for these tools. The market is segmented by deployment type (cloud-based and on-premises) and user type (SMEs and large enterprises), with cloud-based solutions dominating due to their scalability and cost-effectiveness. Geographic distribution reveals strong growth across North America and Europe, fueled by high digital adoption rates and a well-established digital marketing ecosystem. However, Asia-Pacific is poised for significant expansion in the coming years due to increasing internet penetration and rising business activity. Competitive rivalry is fierce, with a mix of established players like SEMrush and Moz, alongside emerging innovators constantly refining their offerings to cater to evolving SEO needs. The market faces some constraints, such as the high cost of premium tools and the need for specialized expertise to effectively utilize the sophisticated functionalities available. Despite these challenges, the long-term outlook remains overwhelmingly positive. The increasing sophistication of SEO techniques and the continued importance of organic search traffic are expected to sustain strong demand for SEO audit tools. Businesses will need access to these platforms to stay ahead in the increasingly competitive online landscape, ensuring that the market continues to expand at a healthy rate for the foreseeable future. The continuous improvement in algorithm detection and analysis coupled with more sophisticated reporting and integrations across other marketing tools is also providing significant catalysts for the market. The ongoing need for transparency and data-driven decision making in SEO will only increase this dependence further.

  11. Bank Rankings by Total Assets

    • kaggle.com
    Updated Dec 6, 2022
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    The Devastator (2022). Bank Rankings by Total Assets [Dataset]. https://www.kaggle.com/datasets/thedevastator/global-banking-rankings-by-total-assets-2017-12
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 6, 2022
    Dataset provided by
    Kaggle
    Authors
    The Devastator
    Description

    Bank Rankings by Total Assets

    Tracking the Financial Performance of the Top Banks

    By Arthur Keen [source]

    About this dataset

    This dataset contains the top 100 global banks ranked by total assets on December 31, 2017. With a detailed list of key information for each bank's rank, country, balance sheet and US Total Assets (in billions), this data will be invaluable for those looking to research and study the current status of some of the world's leading financial organizations. From billion-dollar mega-banks such as JP Morgan Chase to small, local savings & loans institutions like BancorpSouth; this comprehensive overview allows researchers and analysts to gain a better understanding of who holds power in the world economy today

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    This dataset contains the rank and total asset information of the top 100 global banks as of December 31, 2017. It is a useful resource for researchers who wish to study how key financial institutions' asset information relate to each other across countries.

    Using this dataset is relatively straightforward – it consists of three columns - rank (the order in which each bank appears in the list), country (the country in which the bank is located) and total assets US billions (the total value expressed in US dollars). Additionally, there is a fourth column containing the balance sheet information for each bank as well.

    In order to make full use of this dataset, one should analyse it by creating comparison grids based on different factors such as region, size or ownership structures. This can provide an interesting insight into how financial markets are structured within different economies and allow researchers to better understand some banking sector dynamics that are particularly relevant for certain countries or regions. Additionally, one can compare any two banks side-by-side using their respective balance sheets or distribution plot graphs based on size or concentration metrics by leverage or other financial ratios as well.

    Overall, this dataset provides useful resources that can be put into practice through data visualization making an interesting reference point for trends analysis and forecasting purposes focusing on certain banking activities worldwide

    Research Ideas

    • Analyzing the differences in total assets across countries. By comparing and contrasting data, patterns could be found that give insight into the factors driving differences in banks’ assets between different markets.

    • Using predictive models to identify which banks are more likely to perform better based on their balance sheet data, such as by predicting future profits or cashflows of said banks.

    • Leveraging the information on holdings and investments of “top-ranked” banks as a guide for personal investments decisions or informing investment strategies of large financial institutions or hedge funds

    Acknowledgements

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

    License

    License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

    Columns

    File: top50banks2017-03-31.csv | Column name | Description | |:----------------------|:------------------------------------------------------------------------| | rank | The rank of the bank globally based on total assets. (Integer) | | country | The country where the bank is located. (String) | | total_assets_us_b | The total assets of a bank expressed in billions of US dollars. (Float) | | balance_sheet | A snapshot of banking activities for a specific date. (Date) |

    File: top100banks2017-12-31.csv | Column name | Description | |:----------------------|:--------------------------------------------...

  12. A

    ‘World Tennis Records and Rankings 2022’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘World Tennis Records and Rankings 2022’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-world-tennis-records-and-rankings-2022-e964/3fe16045/?iid=005-636&v=presentation
    Explore at:
    Dataset updated
    Feb 13, 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

    Area covered
    World
    Description

    Analysis of ‘World Tennis Records and Rankings 2022’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/abhijeetbhilare/world-tennis-records-and-rankings-2022 on 13 February 2022.

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

    Context

    Tennis is one of the famous sports in the world. Here we have data which comprises Tennis Records and Rankings dataset is updated till 31st Jan 2022.

    Content

    Dataset contains 2 files Records and Rankings of all tennis players till date.

    Acknowledgements

    I would like to thank https://www.ultimatetennisstatistics.com/ for this ultimate dataset

    Inspiration

    Lets take out some amazing analysis on this data.

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

  13. e

    Businesss Site Suitability Analysis Results

    • gisinschools.eagle.co.nz
    Updated Jan 26, 2023
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    GIS in Schools - Teaching Materials - New Zealand (2023). Businesss Site Suitability Analysis Results [Dataset]. https://gisinschools.eagle.co.nz/documents/99a7fa3273e14934a6ea5df6abe9451e
    Explore at:
    Dataset updated
    Jan 26, 2023
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Description

    This Excel Spreadsheet holds the rankings and final scores of the theatres after completing the suitability analysis. Within the spreadsheet you will find pages to show the rankings and final scores of the theatres for all the walking distances (5,10,15 minutes) to make it easier to complete your analysis. There are also pages to show the ranking and score of the theatres after adjusting the criteria. Use of this spreadsheet is optional and just gives another option to present the data in a form that may be easier for you to analyse.

  14. S

    SEO (Search Engine Optimization) Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 2, 2025
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    Data Insights Market (2025). SEO (Search Engine Optimization) Software Report [Dataset]. https://www.datainsightsmarket.com/reports/seo-search-engine-optimization-software-1955991
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The SEO software market is experiencing robust growth, driven by the increasing reliance on digital marketing and the ever-evolving search engine algorithms. Between 2019 and 2024, the market likely saw significant expansion, considering the rising demand for tools that improve website visibility and organic search rankings. Key factors contributing to this growth include the increasing complexity of SEO strategies, the need for data-driven decision-making in digital marketing, and the growing adoption of SEO best practices across various industries. The market is segmented by software functionalities (keyword research, rank tracking, site audits, backlink analysis, etc.), pricing models (subscription-based, one-time purchase), and target user (small businesses, agencies, enterprises). Leading players like Moz, Semrush, Ahrefs, and others continuously innovate, adding features like AI-powered insights and enhanced reporting capabilities to cater to the evolving needs of their users. Looking ahead, the period between 2025 and 2033 is projected to witness sustained growth, albeit at a potentially slightly moderated CAGR compared to the previous period. This projection is based on the continuous advancement of search engine algorithms, the ongoing need for businesses to optimize their online presence, and the potential for further market consolidation as smaller players face competition from established industry leaders. Continued innovation in areas such as AI-driven SEO tools, integration with other marketing platforms, and more sophisticated data analytics capabilities are likely to be key drivers of future market expansion. However, potential restraints could include the rising cost of advanced SEO tools and the need for specialized expertise to effectively utilize the sophisticated features offered by these platforms. The market’s geographical distribution is expected to remain diversified, with North America and Europe continuing to hold significant shares, driven by high digital marketing adoption rates and the presence of major market players.

  15. S

    Search Engine Optimization Software Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 7, 2025
    + more versions
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    Market Research Forecast (2025). Search Engine Optimization Software Report [Dataset]. https://www.marketresearchforecast.com/reports/search-engine-optimization-software-28969
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Search Engine Optimization (SEO) software market is experiencing robust growth, driven by the increasing reliance on digital marketing strategies and the escalating competition for online visibility. The market, estimated at $5 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of approximately 15% through 2033, reaching a value exceeding $15 billion. This expansion is fueled by several key factors: the growing sophistication of SEO techniques demanding specialized software, the rising adoption of SEO by small and medium-sized enterprises (SMEs) seeking to compete with larger corporations, and the continuous evolution of search engine algorithms necessitating adaptive SEO tools. Furthermore, the rising popularity of mobile-first indexing and the increasing importance of technical SEO are further stimulating market demand. Segmentation analysis reveals that the mobile-based segment holds significant market share, reflecting the ubiquitous nature of mobile devices. The enterprise segment is also a major contributor, driven by large organizations’ need for comprehensive SEO solutions to manage their extensive online presence. Market restraints include the high cost of advanced SEO software, the complexity of some platforms requiring specialized training, and the constant need for updates to keep pace with algorithm changes. However, the ongoing innovation in user-friendly interfaces and the emergence of affordable subscription models are mitigating these challenges. Geographic analysis suggests North America and Europe currently hold the largest market shares due to high digital adoption rates and established SEO practices. However, the Asia-Pacific region is anticipated to exhibit the fastest growth in the coming years, driven by rapid digitalization and economic expansion in countries like India and China. Leading players such as SEMrush, Ahrefs, and Moz Pro are dominating the market, but fierce competition and continuous technological advancements are shaping the landscape.

  16. Search Engine Optimization (SEO) Software Market Report | Global Forecast...

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Search Engine Optimization (SEO) Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-search-engine-optimization-seo-software-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Search Engine Optimization (SEO) Software Market Outlook



    The global Search Engine Optimization (SEO) software market size was valued at approximately USD 3.5 billion in 2023 and is projected to reach a staggering USD 6.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.8% during the forecast period. This growth is driven by the increasing importance of digital marketing, the rising demand for better customer engagement, and the rapid proliferation of internet users worldwide. As businesses across various industries pivot towards building a robust online presence, the need for effective SEO strategies has become more critical than ever. This shift is bolstered by the continuous evolution of search engine algorithms, compelling businesses to adopt sophisticated SEO software solutions to maintain their competitive edge.



    One of the primary growth factors for the SEO software market is the exponential increase in internet penetration and the corresponding shift of businesses towards online platforms. The digital transformation trend has seen organizations, both large and small, moving their operations online to reach a broader audience. This migration has emphasized the necessity for optimized web presence, which in turn fuels the demand for SEO software that can provide insights into search engine algorithms, enhance online visibility, and improve website performance. Businesses are increasingly recognizing that a strong digital presence is vital for survival and success in the modern marketplace, thereby driving the growth of the SEO software industry.



    Another key driver of growth in the SEO software market is the rising competition among businesses to secure a prominent position in search engine results. With millions of businesses vying for attention on the internet, standing out from the crowd has become a critical challenge. SEO software offers various tools and features that help businesses analyze competitors, identify strategic keywords, track search engine rankings, and optimize content effectively. This competitive advantage provided by SEO tools is a significant factor contributing to the market's growth, as more businesses seek to leverage these solutions to gain a foothold in their respective industries and improve their market share.



    The surge in demand for data-driven decision-making is also propelling the SEO software market forward. Modern businesses are increasingly relying on data analytics to inform their marketing strategies, and SEO software provides the analytical capabilities necessary for understanding consumer behavior, market trends, and performance metrics. By utilizing these insights, businesses can tailor their strategies to better meet customer needs and preferences, leading to an improved customer experience and increased revenue. The ability of SEO software to deliver actionable insights and measurable outcomes makes it an indispensable tool for businesses aiming to optimize their marketing efforts and achieve their business goals.



    In terms of regional outlook, North America currently dominates the SEO software market, owing to the advanced digital infrastructure, high internet usage rates, and the presence of numerous technology-driven enterprises. The region's strong emphasis on technological innovation and the early adoption of digital marketing strategies continue to drive demand for SEO software. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, fueled by rapid digitalization, growing internet penetration, and the burgeoning e-commerce sector in countries like China and India. The region's vast population and increasing online activity provide a significant opportunity for SEO software providers to expand their offerings and capture a larger market share.



    Component Analysis



    The SEO software market is segmented by component into software and services, each playing a crucial role in addressing the diverse needs of businesses. The software component encompasses a variety of tools designed to enhance a website's search engine ranking through keyword analysis, backlink tracking, site auditing, and competitor benchmarking. These tools are essential for businesses aiming to optimize their online presence and ensure that their websites rank high on search engine results pages. As technology advances, SEO software solutions are becoming more sophisticated, incorporating artificial intelligence and machine learning algorithms to deliver more accurate insights and recommendations for optimization.



    The services component of the SEO software m

  17. Host country of organization for 86 websites in study.

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Host country of organization for 86 websites in study. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOShttp://plos.org/
    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

    Host country of organization for 86 websites in study.

  18. e

    website.grader.com Traffic Analytics Data

    • analytics.explodingtopics.com
    Updated May 1, 2025
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    (2025). website.grader.com Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/website.grader.com
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    Dataset updated
    May 1, 2025
    Variables measured
    Global Rank, Monthly Visits, Authority Score, US Country Rank
    Description

    Traffic analytics, rankings, and competitive metrics for website.grader.com as of May 2025

  19. QS World University Rankings 2025

    • kaggle.com
    Updated Apr 21, 2025
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    Melissa Monfared (2025). QS World University Rankings 2025 [Dataset]. https://www.kaggle.com/datasets/melissamonfared/qs-world-university-rankings-2025
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Kaggle
    Authors
    Melissa Monfared
    Description

    Overview:

    This dataset provides a comprehensive overview of the QS World University Rankings for the year 2025, encompassing data on over 1,500 universities from 105 education systems worldwide. It includes institutional characteristics, regional classification, and a variety of performance indicators that reflect academic reputation, employability, sustainability, and internationalization.

    Dataset Details:

    The dataset includes institutional rankings for both 2025 and 2024, alongside scores and ranks for numerous metrics used to evaluate universities. These metrics offer insight into academic quality, research output, international engagement, and employment outcomes.

    Schema and Column Descriptions:

    Column NameDescription
    RANK_2025University’s overall rank in the 2025 QS World University Rankings
    RANK_2024University’s overall rank in the 2024 QS Rankings
    Institution_NameName of the university or institution
    LocationCountry in which the institution is located
    RegionGlobal region (e.g., Europe, Asia, North America)
    SIZESize classification of the institution (e.g., S, M, L, XL)
    FOCUSFocus type (e.g., Comprehensive, Focused)
    RES.Research intensity (e.g., Very High, High)
    STATUSStatus of the institution (e.g., Public, Private)
    Academic_Reputation_ScoreScore based on global academic reputation survey
    Academic_Reputation_RankRank based on academic reputation
    Employer_Reputation_ScoreScore based on global employer reputation survey
    Employer_Reputation_RankRank based on employer reputation
    Faculty_Student_ScoreScore reflecting student-to-faculty ratio
    Faculty_Student_RankRank based on faculty-student ratio
    Citations_per_Faculty_ScoreScore reflecting research impact (citations per faculty)
    Citations_per_Faculty_RankRank based on citations per faculty
    International_Faculty_ScoreScore representing international diversity of faculty
    International_Faculty_RankRank based on international faculty presence
    International_Students_ScoreScore representing diversity of international students
    International_Students_RankRank based on international student ratio
    International_Research_Network_ScoreScore based on global research collaboration
    International_Research_Network_RankRank based on international research partnerships
    Employment_Outcomes_ScoreScore reflecting graduates’ employability and success
    Employment_Outcomes_RankRank based on employment outcomes
    Sustainability_ScoreScore reflecting sustainability initiatives and performance
    Sustainability_RankRank based on sustainability measures
    Overall_ScoreFinal composite score used to determine the university's ranking

    Key Features:

    • Extensive Coverage: Includes over 1,500 institutions from 105 countries.
    • Multi-Dimensional: Covers a range of indicators such as research, teaching, employability, and internationalization.
    • Comparative Insights: Provides year-over-year ranking data (2024 vs. 2025) for trend analysis.

    Usage:

    This dataset is suitable for: - Higher Education Analysis: Track university performance across global metrics. - Student Decision-Making: Support students choosing top-ranked institutions. - Policy & Strategy: Aid education policymakers and institutional strategists in benchmarking and improvement planning. - Data Visualization: Ideal for visual dashboards, maps, and interactive reports on global university performance.

    Data Maintenance:

    • Source: QS Top Universities Ranking
    • Last Updated: 2025
    • License: Educational and research purposes (refer to source terms)
  20. A

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

    • analyst-2.ai
    Updated Jan 28, 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-2017-2022-366b/1e08715c/?iid=004-775&v=presentation
    Explore at:
    Dataset updated
    Jan 28, 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/prasertk/qs-world-university-rankings-2021 on 28 January 2022.

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

    Acknowledgements

    data source: https://www.topuniversities.com/university-rankings/world-university-rankings/2022 image credit: https://www.pexels.com/photo/newly-graduated-people-wearing-black-academy-gowns-throwing-hats-up-in-the-air-267885/

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

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Angelo Batista Neves JĂşnior; Luiz AndrĂŠ Portes Paes Leme; Marco Antonio Casanova (2023). Empirical Analysis of Ranking Models for an Adaptable Dataset Search: complementary material [Dataset]. http://doi.org/10.6084/m9.figshare.5620651.v4
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Empirical Analysis of Ranking Models for an Adaptable Dataset Search: complementary material

Explore at:
zipAvailable download formats
Dataset updated
Jun 2, 2023
Dataset provided by
Figsharehttp://figshare.com/
Authors
Angelo Batista Neves JĂşnior; Luiz AndrĂŠ Portes Paes Leme; Marco Antonio Casanova
License

https://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html

Description

This repository contains performance measures of dataset ranking models.- Usage: from Results/src run Python results m1 m2 ...such that mi can be omitted, or be any element of the list of model labels ['bayesian-12C', 'bayesian-5L', 'bayesian-5L12C', 'cos-12C', 'cos-5L', 'cos-5L5C', 'j48-12C', 'j48-5L', 'j48-5L5C', 'jrip-12C', 'jrip-5L', 'jrip-5L5C', 'sn-12C', 'sn-5L', 'sn-5L12C']. Results of selected models will be plotted in a 2D line plot. If no model is provided all models will be listed.

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