This Website Statistics dataset has four resources showing usage of the Lincolnshire Open Data website. Web analytics terms used in each resource are defined in their accompanying Metadata file.

• Website Usage Statistics: This document shows a statistical summary of usage of the Lincolnshire Open Data site for the latest calendar year.

• Website Statistics Summary: This dataset shows a website statistics summary for the Lincolnshire Open Data site for the latest calendar year.

• Webpage Statistics: This dataset shows statistics for individual Webpages on the Lincolnshire Open Data site by calendar year.

• Dataset Statistics: This dataset shows cumulative totals for Datasets on the Lincolnshire Open Data site that have also been published on the national Open Data site Data.Gov.UK - see the Source link.

  Note: Website and Webpage statistics (the first three resources above) show only UK users, and exclude API calls (automated requests for datasets). The Dataset Statistics are confined to users with javascript enabled, which excludes web crawlers and API calls.

These Website Statistics resources are updated annually in January by the Lincolnshire County Council Business Intelligence team. For any enquiries about the information contact opendata@lincolnshire.gov.uk.

As of October 2025, among the top ten classified websites worldwide, ******* experienced the highest number of pages per visit. During a session, online consumers browsed an average of **** pages on *******. The website ************** followed with around **** pages per visit.

This dataset contains statistics (key metrics) related to the Unleashed Facebook page (https://www.facebook.com/UnleashedADL/). Unleashed is an open data competition, an initiative of the Office for Digital Government, Department of the Premier and Cabinet. This data is used to monitor the level of engagement activity with the audience, and make the communication effective in regards to the event.

Common Crawl Statistics

Number of pages, distribution of top-level domains, crawl overlaps, etc. - basic metrics about Common Crawl Monthly Crawl Archives, for more detailed information and graphs please visit our official statistics page. Here you can find the following statistics files:

  Charsets

The character set or encoding of HTML pages only is identified by Tika's AutoDetectReader. The table shows the percentage how character sets have been used to encode HTML pages… See the full description on the dataset page: https://huggingface.co/datasets/commoncrawl/statistics.

Dataset exported from Google Analytics of "Pages and screens: Page title and screen class" with "Users" pages and screens removed.

As of March 2020, the most visited Wikipedia page in the United States was "2020 Democratic party presidential primaries" with * million visits during the month. The second-most visited page was "2019-20 coronavirus pandemic" with *** million visits. A significant portion of the top visited Wikipedia pages in March are related to the global coronavirus pandemic.

Data set with all the PGA tour statistics listed on the PGA tour website. I made this data set in hopes of discovering trends in PGA tour performance that can help to improve my game. Most data is in yards with the exception of anything that would be measured in feet like putt distances and drive apex.

As of October 2025, reels were the most engaging type of post on Facebook, generating an average engagement rate of **** percent relative to a page’s total followers. In contrast, link posts recorded the lowest engagement rate, at *** percent.

Comprehensive YouTube channel statistics for Dylan Page, featuring 929,000 subscribers and 146,329,156 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the News-&-Politics category and is based in GB. Track 663 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Social scientists rarely take full advantage of the information available in their statistical results. As a consequence, they miss opportunities to present quantities that are of greatest substantive interest for their research, and to express their degree of certainty about these quantities. In this article, the authors offer an approach, built on the technique of statistical simulation, to extract the currently overlooked information from any statistical method, no matter how complicated, and to interpret and present it in a reader-friendly manner. Using this technique requires some sophistication, but its application should make the results of quantitative articles more informative and transparent to all. To illustrate their recommendations, the authors replicate the results of several published works, showing in each case how the authors' own conclusions could be expressed more sharply and informatively, and how this approach reveals important new information about the research questions at hand.

We’ve rounded up the most up-to-date web design statistics to apply to your design.

Drive Stats

Drive Stats is a public data set of daily metrics on the hard drives in Backblaze’s cloud storage infrastructure that Backblaze has open-sourced since April 2013. Currently, Drive Stats comprises over 388 million records, rising by over 240,000 records per day. Drive Stats is an append-only dataset effectively logging daily statistics that once written are never updated or deleted. This is our first Hugging Face dataset; feel free to suggest improvements by creating a… See the full description on the dataset page: https://huggingface.co/datasets/backblaze/Drive_Stats.

Comprehensive YouTube channel statistics for Elliot Page, featuring 795,000 subscribers and 480,387,009 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in GB. Track 1,614 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

About this dataset

Context

The dataset tabulates the population of Page by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Page across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 50.34% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Page is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Page total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Page Population by Race & Ethnicity. You can refer the same here

Context

Riga Data Science Club is a non-profit organisation to share ideas, experience and build machine learning projects together. Data Science community should known own data, so this is a dataset about ourselves: our website analytics, social media activity, slack statistics and even meetup transcriptions!

Content

Dataset is split up in several folders by the context: * linkedin - company page visitor, follower and post stats * slack - messaging and member activity * typeform - new member responses * website - website visitors by country, language, device, operating system, screen resolution * youtube - meetup transcriptions

Inspiration

Let's make Riga Data Science Club better! We expect this data to bring lots of insights on how to improve.

"Know your c̶u̶s̶t̶o̶m̶e̶r̶ member" - Explore member interests by analysing sign-up survey (typeform) responses - Explore messaging patterns in Slack to understand how members are retained and when they are lost

Social media intelligence * Define LinkedIn posting strategy based on historical engagement data * Define target user profile based on LinkedIn page attendance data

Website * Define website localisation strategy based on data about visitor countries and languages * Define website responsive design strategy based on data about visitor devices, operating systems and screen resolutions

Have some fun * NLP analysis of meetup transcriptions: word frequencies, question answering, something else?

A complete list of live websites using the Wp Page Load Stats technology, compiled through global website indexing conducted by WebTechSurvey.

Note: This dataset has been archived and is no longer being updated due to a change in analytics platform. You can find the new dataset relating to Website Statistics in the following link; https://lincolnshire.ckan.io/dataset/website-statistics This Website Statistics dataset has three resources showing usage of the Lincolnshire Open Data website. Web analytics terms used in each resource are defined in their accompanying Metadata file. Website Usage Statistics: This document shows a statistical summary of usage of the Lincolnshire Open Data site for the latest calendar year. Website Statistics Summary: This dataset shows a website statistics summary for the Lincolnshire Open Data site for the latest calendar year. Webpage Statistics: This dataset shows statistics for individual Webpages on the Lincolnshire Open Data site by calendar year. Note: The resources above show only UK users, and exclude API calls (automated requests for datasets). For further information, please contact the Lincolnshire County Council Open Data team.

About this dataset

Context

The dataset tabulates the population of Page County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Page County. The dataset can be utilized to understand the population distribution of Page County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Page County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Page County.

Key observations

Largest age group (population): Male # 15-19 years (603) | Female # 55-59 years (613). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Page County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Page County is shown in the following column.
• Population (Female): The female population in the Page County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Page County for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Page County Population by Gender. You can refer the same here

Information on the most visited pages of each website always limiting to all those that have more than 100 pages viewed per day. Daily update.