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 18.49 daily page views and was followed by Unitel.bo, with 11 page views per day that month. Within Latin America, Mexico was the country where Amazon Alexa contained the largest number of skills.

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.

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).

Official World Golf Ranking Data

Context:

The Official World Golf Ranking is a system for rating the performance level of male professional golfers. It was started in 1986. [1]

The rankings are based on a player's position in individual tournaments (i.e. not pairs or team events) over a "rolling" two-year period. New rankings are produced each week. During 2018, nearly 400 tournaments on 20 tours were covered by the ranking system. All players competing in these tournaments are included in the rankings. In 2019, 23 tours will factor into the world rankings. [1]

The World Ranking Points for each player are accumulated over a two year “rolling” period with the points awarded for each tournament maintained for a 13-week period to place additional emphasis on recent performances. [2]

Ranking points are then reduced in equal decrements for the remaining 91 weeks of the two year Ranking period. Each player is then ranked according to his average points per tournament, which is determined by dividing his total number of points by the tournaments he has played over that two-year period. [2]

There is a minimum divisor of 40 tournaments over the two year ranking period and a maximum divisor of a player’s last 52 tournaments. [2]

Simply put, a golfer's World Ranking is obtained by dividing their points total by the number of events they have played, which gives their average. Players are then ranked; a higher average yields a higher rank. [1]

Data:

• The data was acquired from the Official World Golf Ranking website.

• Stored in a long data format.

• This file will be updated weekly after the conclusion of every tournament.

Tours Included in the Rankings:

• PGA Tour

• European Tour

• Asian Tour (not a charter member of the Federation)

• PGA Tour of Australasia

• Japan Golf Tour

• Sunshine Tour

• Korn Ferry Tour

• Challenge Tour

• PGA Tour Canada

• Golf Tour

• Korean Tour

• PGA Tour Latinoamérica

• Asian Development Tour

• PGA Tour China

• Alps Tour

• Nordic Golf League

• PGA EuroPro Tour

• ProGolf Tour

• MENA Golf Tour

• Big Easy Tour

• China Tour

• All Thailand Golf Tour

• Professional Golf Tour of India

• Abema TV Tour

Collection Method:

• Acquired the data using the Python library BeautifulSoup. Manipulated data using the Pandas & NumPy libraries. ***

Contents:

• 9000 players ***

Acknowledgements:

• Data scraped from: Official World Golf Ranking

• Please formally reference this Kaggle dataset.

• Please contribute analysis and findings as a kernel.

Inspirations:

• Can this dataset be used to predict who will win upcoming PGA Tour tournaments?

• Can we predict the players that will make the tournament cuts?

Disclaimer:

The Official World Golf Ranking website contains plenty of messy data in the 'Name' column. There are still records where there is not enough information for me to infer the proper name of the athlete. If the name contains a date within brackets it is because there are two players with the same name. The date is the birth date of the athlete and is used to uniquely identify athletes with the same name.

Questions, Concerns & Suggestions:

• Feel free to email me for questions, concerns or suggestions, bradklassen@outlook.com ***

Resources

[1] https://en.wikipedia.org/wiki/Official_World_Golf_Ranking

[2] http://www.owgr.com/about

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This is the data repository for the paper Anytime Ranking on Document-Ordered Indexes by Joel Mackenzie, Matthias Petri, and Alistair Moffat. This paper appeared in ACM TOIS in 2021.

Academic journals indicators developed from the information contained in the Scopus database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains.

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, 9.5 percent of female respondents ranked it at the top.

Datasets resulting from the Northland Potential Ecosystem report by Nick Singers (Singers & Rogers publication) and Ecosystem Prioritisation and Rarity by John Leathwick. Summaries of each dataset belowPotential Ecosystems:The ecosystem classification used to map potential ecosystems of Northland was developed by the Department of Conservation, as a tool for prioritising ecosystem management (Singers & Rogers 2014). This classification is a synthesis that amalgamates previous classifications and ecological studies aligned to an abiotic framework. It describes a full range of ecosystem types at a variety of scales in an approximation of the natural or potential state as they would have been observed if people arrived today in New Zealand. The classification system has two tables that describe ecosystem drivers of the abiotic environment (Singers and Rogers 2014) and biotic compositional description, which further includes ecosystem distribution and relevant source references (Singers and Rogers 2014). The data contained within these two tables have been used as the fundamental basis for mapping ecosystem types, supported by other readily available ecological descriptions, vegetation maps and relevant GIS layers such as soil maps of the Northland Region.Ecosystem Rarity:This layer consists of the intersection between the primary (see note below) ecosystem cover (as identified in the report ‘Indigenous Biodiversity Ranking for the Northland Region by J. R. Leathwick 2018) and the Northland Potential Ecosystem mapping (as identified in the report ‘A potential ecosystem map for the Northland Region: Explanatory information to accompany the map. Prepared for Northland Regional Council. © Nicholas Singers Ecological Solutions Ltd. NSES Ltd Report 12:2018/2019, June 2018.’Northland Biodiversity Ranking - Lake Ranks:Rankings of Lakes derived from a ranking analysis of indigenous-dominated terrestrial and freshwater ecosystems for the Northland Region.Northland Biodiversity Ranking - River Ranks:Rankings of rivers and streams derived from a ranking analysis of indigenous-dominated terrestrial and freshwater ecosystems for the Northland Region.Northland Biodiversity Ranking - Terrestrial Top 30 Sites:Delineation of the high priority terrestrial sites comprising 30% of the surviving indigenous-dominated ecosystems (or 10.6 % of the Northland Region) as identified in the ranking of terrestrial ecosystem areas derived from a ranking analysis of indigenous-dominated terrestrial ecosystems for the Northland Region.Northland Biodiversity Ranking - Terrestrial Top 30 Sites Additional 5:Delineation of the top 5 % of additional sites that would potentially make the largest additional gains assuming management is applied to the top 30% of sites as identified in the ranking of terrestrial ecosystem areas derived from a ranking analysis of indigenous-dominated terrestrial ecosystems for the Northland Region.

In the eyes of French SEOs, if there was one point that mattered absolutely in terms of SEO for mobile first indexing, it was the adaptation of the size of the content to the size of the screen in 2020. Other than that, when crawl was ensured, it made it easier for the crawler or the Internet user to visit and to facilitate the discovery of a site by search engines.

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.

Business Analyst Storingen Site Ranking Feature Service

The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2022 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources. Some example measures are:adult smokingphysical inactivityflu vaccinationschild povertydriving alone to workTo see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details. These measures are standardized and combined using scientifically-informed weights."By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."Counties are ranked within their state on both health outcomes and health factors. Counties with a lower (better) health outcomes ranking than health factors ranking may see the health of their county decline in the future, as factors today can result in outcomes later. Conversely, counties with a lower (better) factors ranking than outcomes ranking may see the health of their county improve in the future.Some new variables in the 2022 Rankings data compared to previous versions:COVID-19 age-adjusted mortalitySchool segregationSchool funding adequacyGender pay gapChildcare cost burdenChildcare centersLiving wage (while the Living wage measure was introduced to the CHRR dataset in 2022 from the Living Wage Calculator, it is not available in the Living Atlas dataset and user’s interested in the most up to date living wage data can look that up on the Living Wage Calculator website).Data Processing Notes:Data downloaded April 2022Slight modifications made to the source data are as follows:The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "per 100,000" were added depending on the type of measure.Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.Ratios were set to null if negative to make them easier to work with in the map.For demographic variables, the word "numerator" was removed and the word "population" was added where appropriate.Fields dropped from analytic data file: yearall fields ending in "_cihigh" and "_cilow"and any variables that are not listed in the sources and years documentation.Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.2010 US boundaries were used as the data contain 2010 US census geographies, for a total of 3,142 counties.

From September to November 2023, YouTube.com was the most popular website in Spain by time per visit, with an average session length of approximately 32 minutes and 16 seconds. AnimeFLV.net ranked second, with an average of 32 minutes and six seconds per visit. Despite being the leading website by total visits and unique visitors in the country, Google.com ranked third in engagement time, with 21 minutes and 13 seconds per session.

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Data set of visits to the website of the 2017 edition of the CWTS Leiden Ranking (www.leidenranking.com/ranking/2017) in the period between May 17, 2017 and February 28, 2018.

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See https://domain-ranking-design-decisions.distrinet-research.be/ for a full project 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.

Explore the historical Whois records related to free-ranking.com (Domain). Get insights into ownership history and changes over time.